The Artificial Intelligence Show

We have had our minds on strawberry fields this week with all the latest happenings at OpenAI. Join our hosts as they discuss OpenAI’s secret project “Strawberry” and OpenAI's leadership changes, including Greg Brockman's sabbatical and John Schulman's move to Anthropic. They'll explore JobsGPT, Paul Roetzer's tool for understanding AI's impact on jobs. Plus, they'll examine OpenAI's GPT-4o System Card, detailing risk management for their new voice model. In our rapid-fire section, we'll touch on the latest legal disputes with OpenAI, Figure’s 02 Robot, ChatGPT watermarking, new AI image generator Flux, and more.

00:03:48 — OpenAI Departures + OpenAI’s secret project “Strawberry” Mystery Grows 

00:23:20 — SmarterX.ai JobsGPT

00:43:02 — GPT-4o System Card Evaluates Risks/Dangers

00:56:43 — Groq’s Huge Funding Round

00:59:08 — Figure Teases Figure 02 Robot

01:02:44 — Musk Brings Back OpenAI Lawsuit

01:05:48 — YouTuber Files Class Action Suit Over AI Scraping + Nvidia Gets Caught 

01:09:00 — ChatGPT Watermarking 

01:11:40 — New AI image generator Flux.1

01:13:51 —Godmother of AI on California’s AI Bill SB-1047

This week’s episode is brought to you by MAICON, our 5th annual Marketing AI Conference, happening in Cleveland, Sept. 10 - 12. The code POD200 saves $200 on all pass types. 

For more information on MAICON and to register for this year’s conference, visit www.MAICON.ai. 

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In this special edition episode of The Artificial Intelligence Show, we are jumping into the 2024 State of Marketing AI Report. Join us as we recap the top 10 key findings from our comprehensive report.

With insights collected from almost 1,800 respondents between March and July 2024, this fourth-annual report offers a detailed look at the role of AI in marketing and business today.

Tune in to hear about significant trends, shifts in AI adoption, and key findings found in the 2024 State of Marketing AI Report. We will also be answering questions submitted by our webinar attendees, providing additional insights and clarifications on the report's findings.

00:00:00 — Introduction

00:07:02 — Methodology of the Report

00:09:49 — Demographics of the Report

00:18:46 — Key Findings of the Report

00:55:14 — Q&A

This week’s episode is brought to you by MAICON, our 5th annual Marketing AI Conference, happening in Cleveland, Sept. 10 - 12. Early bird pricing ends Friday. If you’re thinking about registering, now is the best time. The code POD200 saves $200 on all pass types. 

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ChatGPT finds its voice! Join Paul Roetzer and Mike Kaput as they discuss OpenAI's cautious rollout of voice features for ChatGPT, assess Chris Miller's insights on the emerging "cloud war," and examine Microsoft's latest AI-driven financial results. Our hosts also touch on Perplexity’s publishers program, concerns behind California’s AI Bill SB-1047 and Google’s experimental version of Gemini 1.5 Pro in our rapid fire section.

00:04:02 — OpenAI Begins to Roll Out Voice Assistant Feature

00:19:26 — Global Chip/Cloud War

00:30:54 — Microsoft AI Stats and Usage

00:41:54 — Meta Earnings and AI

00:44:54 — Perplexity Introduces Publishers Program

00:48:35 — Concerns over California AI Bill SB-1047

00:53:35 — Writer’s New Models Designed for Healthcare and Finance

00:58:14 — Google has released an experimental version of Gemini 1.5 Pro 

01:03:47 — Microsoft and OpenAI

This week’s episode is brought to you by MAICON, our 5th annual Marketing AI Conference, happening in Cleveland, Sept. 10 - 12. If you’re thinking about registering, now is the best time. The code POD200 saves $200 on all pass types. 

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AI models are getting more powerful, but they are also dealing with some big ethical and financial hurdles. Join Paul Roetzer and Mike Kaput as they unpack Meta's release of Llama 3.1, dive into the controversy surrounding Runway's AI training practices, and examine the potential AI bubble looming over the industry. Plus, take a look into the latest updates from Apple, OpenAI and Google Deepmind.

00:03:50 — Meta Releases Llama 3.1

00:25:44 — Runway and YouTube

00:34:09 — Are We In an AI Bubble?

00:46:46 — DeepMind AlphaProof and AlphaGeometry 2

00:51:48 — Sam Altman Op-Ed Future of AI Warning

00:58:08 — GPT4-o Mini LMSYS Evaluation

01:01:09 — OpenAI Announces SearchGPT AI

01:03:51 — Presidential Moves on AI

01:08:58 — Ethan Mollick Warns about RAG Talk-to-Document Systems

01:11:54 — Apple's AI Features Will Roll Out Later Than Expected

This week’s episode is brought to you by MAICON, our 5th annual Marketing AI Conference, happening in Cleveland, Sept. 10 - 12. Early bird pricing ends Friday. If you’re thinking about registering, now is the best time. The code POD200 saves $200 on all pass types. 

For more information on MAICON and to register for this year’s conference, visit www.MAICON.ai. 

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Join our hosts as they unpack Chevron CIO Bill Braun's candid insights on the challenges of implementing AI in large corporations, explore OpenAI's latest GPT-4o mini model, and discuss the latest findings in prompting research. Plus, get the latest on Apple’s AI training data, AI’s impact on the Crowdstrike Outage, and the latest developments in AI at Meta.

00:04:03 — AI Enterprise Adoption

00:18:07 — GPT-4o mini

00:27:53 — New Prompting Report

00:38:02 — OpenAI “Strawberry”

00:48:40 — Apple’s AI Steals YouTube Videos

00:51:48 — AI’s Impact on the Crowdstrike Outage

00:57:09 — Meta Llama 3 405B Release

00:59:09 — Meta Will Avoid the EU

01:01:57 — Intuit’s AI-Reorganization Plan

01:04:00 — Andrej Karpathy Starts Eureka Labs

01:06:41 — Update on Lattice Digital Workers

This week’s episode is brought to you by MAICON, our 5th annual Marketing AI Conference, happening in Cleveland, Sept. 10 - 12. Early bird pricing ends Friday. If you’re thinking about registering, now is the best time. The code POD100 saves $100 on all pass types. 

For more information on MAICON and to register for this year’s conference, visit www.MAICON.ai. 

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Explore a future where AI could turn one cent of electricity into hundreds of dollars worth of top-tier professional work. Join our hosts as they unpack Carl Shulman's provocative insights on superintelligence, explore the rising world of AI agents, and examine the importance of AI literacy for all. Plus, take a look into the latest from OpenAI, Google Gemini, Anthropic and more in our rapid fire section. 

00:03:32 — 80,000 Hours Podcast with Carl Shulman

00:20:10 — The AI Agent Landscape

00:33:03 — AI Literacy for All

00:42:02 — OpenAI Superintelligence Scale

00:47:02 — Lattice and AI Employees

00:52:18 — OpenAI Exits China

00:54:23 — Microsoft, Apple and the OpenAI Board

00:56:20 — Gemini for Workspace

00:58:48 — Claude Prompt Playground

01:01:48 — Captions Valued at $500M

Today’s episode is brought to you by Marketing AI Institute’s 2024 State of Marketing AI Report. This is the fourth-annual report we’ve done in partnership with Drift to gather data on AI understanding and adoption in marketing and business. This year, we’ve collected never-before-seen data from marketers and business leaders revealing to us how they adopt and use AI…

We are revealing the findings during a special webinar on Thursday, July 25 at 12pm ET.

Go to stateofmarketingai.com to register.

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Join Paul and Mike as they discuss the surge in demand for AI consultants from major firms like BCG and McKinsey, explore the growing disconnect between AI investments and economic impact, and examine Zoom CEO’s Eric Yuan's ambitious plans for AI-driven digital twins in Zoom meetings.

00:03:31 — AI Consultants Success from the AI Boom

00:16:04 — AI Needs to Make Money

00:30:47 — Zoom’s CEO on the Future of Work

00:41:00 — Google’s Gemma 2

00:46:12 — OpenAI’s 2023 Security Breach Raises Concerns

00:49:50 — Apple’s OpenAI Board Seat

00:52:28 — AI and The Olympics

00:56:47 — Nintendo’s Future Plans with GenAI

01:00:00 — Finding GPT-4’s Mistakes with Critic GPT

01:03:41 — Scale AI’s Business Model

01:09:41 — AI Tech Updates: Runway

01:11:57 — AI Tech Updates: Hebia

01:14:01 — AI Tech Updates: Perplexity

01:16:00 — AI Tech Updates: ElevenLabs

Today’s episode is also brought to you by the Marketing AI Conference (MAICON), presented by Marketing AI Institute. MAICON is an industry-leading event that helps marketers and business leaders at all levels understand, pilot, and scale AI. 

Don't miss this chance to accelerate your AI journey and stay ahead of the curve. Go to www.MAICON.ai to learn more.

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Paul and Mike are back! After a two-week hiatus, the longest episode of The Artificial Intelligence Show has dropped! Paul Roetzer and Mike Kaput discuss changes at the big companies: Anthropic’s Claude 3.5 is released, Perplexity, Suno, and Udio are in legal troubles, Ilya Sutskever, co-founder and former chief scientist at OpenAI, launches a new company, and speaking of OpenAI, learn more about their ex-NSA board member.

00:09:12 — Claude 3.5

00:17:28 — Record Labels Sue Suno and Udio

00:24:08 — OpenAI Updates and Revenue

00:29:08 — OpenAI Buys Rockset

00:30:59 — OpenAI Acquires Collaboration Startup Multi

00:32.40 — OpenAI appoints Retired U.S. Army General to Board of Directors

00:37:37 — OpenAI Voice Mode Update

00:40:29 — Elon Musk Drops Suit Accusing OpenAI of Breaching Founding Mission

00:43:00 — Ilya’s New Venture

00:46:45 — Perplexity Updates

00:56:04 — Should Frontier AI Companies Fund Journalism?

01:01:45 — The AP Fund for Journalism launches

01:05:50 — Pope Francis addresses the G7 Summit

01:08:17 — Political deepfakes top list of malicious AI use, DeepMind finds

01:11:04 — NVIDIA Releases Open Synthetic Data Gen Pipeline for Training LLMs

01:13:33 — Toys R’ Us Branded Sora Video

01:19:43 — WPP unveils AI-powered Production Studio

01:22:19 — Does EU AI Act Require AI Literacy?

01:26:40 — McDonald's to end AI drive-thru test with IBM

01:29:37 — Funding, starting with Mistral

01:31:40 — HeyGen Series A

01:34:29 — Stability AI Secures Significant New Investment and Appoints CEO

01:36:30 — EvolutionaryScale raises $142M for protein-generating AI

01:38:37 — Product Updates starting with Adept

01:42:39 — ElevenLabs Text Reader

01:44:50 — Runway Gen-3 Alpha

01:47:46 — Microsoft Delays Recall Feature

01:49:28 — Microsoft GPT Builder Retired

Today’s episode is also brought to you by Scaling AI, a groundbreaking original series designed for business leaders who want to thrive in the age of AI, and help drive AI transformation within their organizations. The Scaling AI course series includes 6 hours of content, complete with on-demand courses, video lessons, quizzes, downloadable resources, a final exam, and a professional certificate upon completion.

Head to ScalingAI.com to order today!

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Some big company-driven controversies are at the front of this week's episode. Our hosts, Mike Kaput and Paul Roetzer, discuss Apple's introduction of "Apple Intelligence," a suite of generative AI features integrated into its devices, former OpenAI’s superalignment researcher Leopold Aschebrenner claims on the rapid approach of superintelligence and, the backlash surrounding Adobe's updated terms of service.

00:06:02 — Apple's WWDC

00:20:14 — Leopold Aschenbrenner, AGI and Superintelligence

00:38:31 — Adobe’s Controversial New Terms of Use

00:42:38 — Microsoft Recall Backlash

00:45:40 — Chris Bach’s Generative AI Policy PSA

00:49:05 — Underlord from Descript

00:51:17 — Perplexity Pages

00:55:12 — Spark Capital, Jared Leto Back AI Video Startup Pika

00:56:49 — McDonald’s HeyGen Campaign

Today’s episode is also brought to you by Scaling AI, a groundbreaking original series designed for business leaders who want to thrive in the age of AI, and help drive AI transformation within their organizations. The Scaling AI course series includes 6 hours of content, complete with on-demand courses, video lessons, quizzes, downloadable resources, a final exam, and a professional certificate upon completion.

Head to ScalingAI.com to pre-order today!

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Following a week filled with controversy, drama, and updates in the AI world, hosts Mike and Paul are ready to bring you up to speed on all the latest happenings. Join us in Episode 101 of The Artificial Intelligence Show where we explore OpenAI's progress on GPT-5, the formation of its Safety and Security Committee, and criticism from former board members. This episode also explores the growing concerns about AI's potential to displace workers, the latest AI tech updates, Apple’s AI Privacy plans and more.

00:04:47 — OpenAI Updates

00:18:00 — AI Job Fears and Worries

00:31:47 — AI Tech Updates

00:39:01 — xAI Raises $6B

00:42:30 — LeCun & Musk x/Twitter Feud, Hinton’s Remarks

00:53:45 — PwC is now OpenAI's Largest Customer

00:55:19 — Apple’s AI Privacy Plans

00:57:54 — Google Leak + AI Overviews

01:01:25 — NVIDIA's Jensen Huang Quote

01:05:13 — Paul’s LinkedIn Post on Prediction Machines

Today’s episode is brought to you by our AI for B2B Marketers Summit, presented by Intercept. This virtual event takes place on June 6 from 12pm - 5pm EDT and is designed to help B2B marketers reinvent what’s possible in their companies and careers.

To register, go to www.b2bsummit.ai.

Today’s episode is also brought to you by Piloting AI, a collection of 18 on-demand courses designed as a step-by-step learning path for beginners at all levels, from interns to CMOs.

You can use the code POD100 to get $100 off when you go to www.PilotingAI.com. 

Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase

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We've got a special bonus episode today, and it's all about celebrating our 100th episode! To mark this milestone, we have dedicated this episode to answering your questions. 

The Artificial Intelligence Show is much more than just a place for us to share content. It's our way of making sense of the AI world and putting it all into perspective. We are lucky to be on this journey with all of you, learning and growing together every step of the way. Let’s take a look at some of those questions you sent our way.

00:04:46 — A quick background of the show

00:08:57 — What is the most stand out moment of AI redefining aspects of the future of work?

00:13:40 — If you could ask Sam Altman one question, what would it be?

00:16:36 — What are the best AI tools available for small & medium-sized businesses? 

00:19:55 — What are best practices in assessing AI tools?

00:22:40 — How can small and medium businesses apply AI to their customer data?

00:25:47 — What's your favorite success story of a business adopting GenAI so far?

00:28:55 — What tools does the MAII team use in their workflow? 

00:32:09 — How should leaders decide whether to focus AI efforts on high-potential individuals or distribute training and resources across the organization?

00:35:53 — How do people use AI in their daily lives?

00:39:29 — In the next 5-10 years, what do you think the adoption of AI tech will look like for most businesses?

00:42:19 — How can professionals stay updated and enhance their knowledge? 

00:49:40 — What are ways I can showcase my AI knowledge while looking for a job? 

00:51:26 — What do you think AI’s role will be in strategy work as it evolves? 

00:55:21 — What AI enabled services would you add to your client service model if you were running an agency?

00:57:53 — If you were launching a marketing agency today, how would you approach scaling with AI tools?

01:00:35 — If you were leading a college degree in marketing, what would you do to ensure that your students are prepared for the future with AI?

01:03:07 — With advances in AI and the capabilities of instant knowledge transfer to anyone at anytime, what do you think the next evolution of education will look like?

01:06:14 — What tech moment needs to happen for AI applications like ChatGPT to cross the chasm to early/late majority of users?

01:08:55 — Should we be asking more questions about privacy and security? Do we trust these companies too much? 

01:11:14 — How do you see regulation affecting AI?

01:13:28 — What advancements in AI are you excited for in the next year?

Today’s episode is brought to you by our AI for B2B Marketers Summit, presented by Intercept. This virtual event takes place on June 6 from 12pm - 5pm EDT and is designed to help B2B marketers reinvent what’s possible in their companies and careers.

To register, go to www.b2bsummit.ai.

Today’s episode is also brought to you by Piloting AI, a collection of 18 on-demand courses designed as a step-by-step learning path for beginners at all levels, from interns to CMOs.

You can use the code POD100 to get $100 off when you go to www.PilotingAI.com. 

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In our first episode of the week, join Mike Kaput and Paul Roetzer as they explore Microsoft's new AI-infused PCs, Copilot AI agents, and Team Copilot. We also look into the controversy surrounding GPT-4o's Sky voice and its alleged similarity to Scarlett Johansson, and discuss Sundar Pichai's thoughts on AI's influence on search traffic and the accuracy of Google's AI Overviews. Stay tuned for our special 100th episode coming out this Thursday!

00:04:04 — AI Updates from Microsoft Build

00:14:09 — OpenAI / Scarlett Johansson Controversy

00:26:08 — Sundar Pichai Interview & The Future of Search

00:34:53 — Anthropic Researchers Discover More About How LLMs Work

00:41:32 — Google DeepMind Introduces Frontier Safety Framework

00:47:31 — European Union’s AI Act Passes

00:51:43 — US State Laws on AI

00:56:02 — Thomson Reuters CoCounsel

00:59:14 — OpenAI Deal With News Corp.

01:02:46 — Apple Podcasts AI Transcripts

01:05:46 — AI Financials/Funding Rapid Fire

Today’s episode is brought to you by Piloting AI, a collection of 18 on-demand courses designed as a step-by-step learning path for beginners at all levels, from interns to CMOs. Use the code POD100 to get $100 off when you go to www.PilotingAI.com.

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Get ready for a deep dive into Google's AI announcements from Google I/O 2024. Join Paul Roetzer and Mike Kaput as they explore Google's announcements, including Gemini 1.5 Pro's integration, Project Astra, Gems, and Veo. Episode 98 also examines the unveiling of OpenAI's latest cutting-edge model, GPT-4o, revolutionizing AI accessibility and the departure of the company's chief scientist, Ilya Sutskever.

00:04:49 — Google I/O Announcements

00:28:07 — GPT-4o 

00:38:23 — OpenAI’s Chief Scientist and Co-Founder Is Leaving the Company

00:57:28 — Apple’s AI Plans

00:59:51 — Behind HubSpot AI

01:02:22 — US Senate’s AI Working Group Report + Key AI Bills

01:05:19 — Co-Founder of Instagram Joins Anthropic As Chief Product Officer

01:07:23 — AI Use Case Spotlight: Interview Prep

01:10:45 — AI Impact Assessments

Today’s episode is brought to you by Piloting AI, a collection of 18 on-demand courses designed as a step-by-step learning path for beginners at all levels, from interns to CMOs. Use the code POD100 to get $100 off when you go to www.PilotingAI.com.

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Join us as we explore the latest AI developments, including OpenAI's anticipated announcement, Google's AI roadmap, and Microsoft's new in-house model, MAI-1. We break down the rumors, analyze the potential impact on the future of search and information access, and discuss what to expect from key players in the coming months. Don't miss this engaging discussion on the rapidly evolving world of AI.

00:03:15 — OpenAI’s Big Announcement

00:11:35 — Google’s CEO Sundar Pichai Lays Out His AI Roadmap

00:18:00 — Microsoft Readies New AI Model

00:20:42 — Anthropic Founders Share Roadmap to Advance AI

00:25:36 — Zapier Central

00:28:39 — Microsoft’s Fourth Annual Work Trend Index: AI at Work Is Here

00:33:54 — Microsoft's New Prompting Features in Copilot

00:36:42 — Google DeepMind’s AI can model DNA, RNA, and more

00:40:57 — AI Companions

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Sam Altman shares AI insights, Microsoft's rushed OpenAI decision comes to light, and Amazon Q hits the market. Join hosts Paul Roetzer and Mike Kaput as they explore Altman's thoughts on AI infrastructure, AGI dangers, and the gpt2-chatbot. Episode 96 also examines Microsoft's accelerated partnership with OpenAI, driven by fears of Google's AI capabilities, and Amazon's new AI-powered assistant, Q, which aims to boost productivity for developers and businesses alike.

00:04:22 — Sam Altman’s Possibilities of AI Talk at Stanford 

00:15:27 — Microsoft’s Rushed OpenAI Decision

00:29:57 — Amazon Q is now available

00:36:24 — Why Perplexity Might Not Last

00:41:17 — Major U.S. Newspapers Sue OpenAI and Microsoft

00:43:45 — Elon Musk’s Plan For AI News

00:50:29 — First Commissioned Music Video Made 100% with Sora

00:52:47 — New Bill Would Require a Kill Switch for AI Models

00:56:32 — More Bad News for AI Hardware

01:01:29 — Quickfire AI Product Updates

Today’s episode is brought to you by our AI for B2B Marketers Summit, presented by Intercept. This virtual event takes place on June 6 from 12pm - 5pm EDT and is designed to help B2B marketers reinvent what’s possible in their companies and careers.

To learn more go to https://www.marketingaiinstitute.com/events/ai-for-b2b-marketers-summit

Today’s episode is also brought to you by our 2024 State of Marketing AI Survey. Our 2024 State of Marketing AI Survey is an annual deep dive into how hundreds of marketers actually use and apply AI in their work.

To fill out the survey, go to www.stateofmarketingai.com

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In an episode of fascinating topics and an exploration of evolving models, hosts Paul Roetzer and Mike Kaput explore the rise of AI Emergent companies like Moderna and Asana, Microsoft's introduction of the Phi-3 family of small language models, and the formation of the US government's AI Safety and Security Board featuring tech leaders like Sam Altman, Satya Nadella, and Sundar Pichai. Our rapid fire section covers news from Eric Schmidt-backed Augment, Expansion of Meta Ray-Ban Smart Glasses Collection, Hubspot AI Updates and more.

00:04:24 — AI Emergent Case Studies

00:20:20 — Microsoft Phi 3

00:29:19 — OpenAI’s Sam Altman and Other Tech Leaders to Serve on AI Safety Board

00:30:34 — OpenAI CEO Sam Altman talks AI development and society 

00:35:04 — TSMC’s Debacle in the American Desert

00:39:53 — Expansion of Meta Ray-Ban Smart Glasses Collection

00:43:13 — Eric Schmidt-backed Augment launches out of stealth with $252M 

00:45:59 — Musk’s xAI Is Close to Raising $6 Billion from Sequoia, Others

00:48:16 — Apple Intensifies Talks With OpenAI for iPhone Generative AI Features

00:50:33 — HubSpot AI Updates

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In a special bonus episode this week, hosts Paul Roetzer and Mike Kaput delve into a range of quick-fire subjects. The episode begins by highlighting Dario Amodei, CEO of Anthropic AI, featured on the Ezra Klein Podcast, delving into scaling laws, the exponential growth curve of AI, and the societal adjustments required for AI integration. Additional rapid fire topics include Stanford's 2024 AI Index Report, tech giants' pursuit of AI Agents, AI mind-reading, and more.

00:04:09 — Anthropic CEO on the Trajectory of AI

00:23:07 — Stanford Releases 2024 AI Index Report

00:29:19 — Microsoft, Google, OpenAI Are Racing Towards Agents

00:32:40 — Rise in AI Job Roles

00:35:30 — AI is Already Reshaping Newsrooms

00:37:43 — How to Opt Out of AI

00:41:13 — AI Mind Reading

00:45:47 — Google Makes Structural Changes to Support AI Efforts

00:48:33 — The Ethics of Advanced AI Assistants

00:54:13 — On the Economics of Frontier Models

00:58:59 — Perplexity Raises $62.7M, Announces Enterprise Pro

Today’s episode is brought to you by rasa.io.

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Join us for Episode 93 as hosts Paul Roetzer and Mike Kaput explore Meta's powerful open-source models and AI assistant integration, Microsoft's impressively realistic VASA-1 video generator, and the intriguing concept of "Service-as-Software." Stay tuned for even more this week!

00:05:25 — Llama 3

00:31:18 — Microsoft’s VASA-1

00:37:29 — The Service-as-Software AI Paradigm Shift

00:47:56 — Adobe Adding Sora, Runway, Pika to Premiere Pro

00:53:26 — Boston Dynamics' Atlas Robot + The Robotics Revolution

00:56:24 — HeyGen’s AI UGC

00:58:19 — 20VC Interview with Sam Altman

01:00:55 — Drake Releases Track with AI Voices of Snoop Dogg and Tupac

01:02:59 — AI Fatigue

Today’s episode is brought to you by rasa.io.

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AI takes center stage at Google Cloud Next, WPP inks major ad deal, and hot AI startups make waves! Join Paul, and Mike as they dive into Google's AI-powered cloud offerings, WPP's collaboration with Google on AI-generated ads, and the latest developments from buzzworthy startups like Humane AI Pin, Udio AI, and Captions.

00:02:25 — Google Cloud Next

00:18:43 — Google’s Blockbuster Ad Deal with WPP

00:30:39 — Hot AI Startups Getting Attention - Humane AI Pin’s Brutal Early Feedback

00:37:05 — Hot AI Startups Getting Attention - Udio AI Music Generator

00:41:40 — Hot AI Startups Getting Attention - Captions AI-Powered Creative Studio

00:47:16 — Brands Adding AI Restrictions to Agency Contracts

00:51:35 — AI Legislation Updates

00:55:09 — Google’s Demis Hassabis Chafes Under New AI Push

00:58:27 — Gemini for Google Workspace Prompt Guide

01:02:23 — TikTok Plots Using Virtual Influencers for Advertising

01:04:50 — ChatGPT Is Now “More Direct, Less Verbose”

01:07:40 — Adobe’s ‘Ethical’ Firefly AI Was Trained on Midjourney Images

Today’s episode is brought to you by rasa.io.

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Despite a solar eclipse, nothing could overshadow the latest AI news! This week on The Artificial Intelligence Show hosts Mike Kaput and Paul Roetzer discuss the implications of Accenture’s earnings from Generative AI, looming legal issues within the AI industry, public perceptions of AI, Amazons future in the AI race and more.

00:03:04 — Accenture on track to make $2.4B from generative AI

00:13:21 — The AI industry is headed towards a legal iceberg

00:27:47 — Public perception of AI

00:41:20 — Amazon scrambles for its place in the AI race

00:46:54 — Microsoft and OpenAI are planning a $100-billion AI supercomputer

00:52:33 — Google considers charging for AI search and Perplexity plans to sell ads

00:56:13 — Demis Hassabis’ rising profile within Google

01:00:14 — HubSpot’s new AI-powered content hub

01:04:27 — OpenAI Voice Engine and voice deepfake concerns

01:08:42 —Google Deepmind paper

01:10:50 — You can now edit your images in ChatGPT

Today’s episode is brought to you by rasa.io.

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In last week's episode, the spotlight was on challenging developments in generative AI companies. This week, we delve into groundbreaking tools reshaping the AI landscape on The Artificial Intelligence Show. Mike and Paul explore topics like empathy in AI following Hume AI's new demo, the influence of AI on journalism, Claude 3's skill surpasses GPT-4 on the Chatbot Leaderboard, and much more.

00:02:32 — Hume AI Demo Is Turning Heads

00:11:48 — AI Journalists / AI + Journalism

00:24:33 — Claude 3 Opus Now Beats GPT-4 on Chatbot Leaderboard

00:30:55 — Stability AI CEO Is Out

00:33:58 — HeyGen Raises $60M at $440M Valuation + Avatar in Motion

00:39:22 — Databricks Releases Major Open Source Model

00:43:16 — Apple Set to Unveil AI Strategy at Developer Conference

00:46:18 — OpenAI Courts Hollywood Studios

00:50:01 — Anthropic + Cohere Funding

00:58:22 — Elon Musk Releases Grok 1.5, Teases Grok 2

Today’s episode is brought to you by rasa.io.

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In this week's episode of The Artificial Intelligence Show, we discuss some tough news for generative AI companies from this past week. The hosts break down the biggest happenings and events, including Altman's latest interview, Andreessen Horowitz's research on generative AI in the enterprise, major changes at Inflection AI, and more.

00:03:47 — Sam Altman Interview with Lex Fridman

00:17:33 — Changes to the Way Enterprises Are Building and Buying AI

00:28:32 — Big Changes at Inflection

00:36:04 — Stability AI Might Be Crashing

00:40:14 — Tepid Revenue at Cohere Shows OpenAI Competitors Face Uphill Battle

00:45:09 — Anthropic, AWS, and Accenture team up

00:48:57 — Claude 3 Opus + Prompt Library

00:56:23 — Gemini 1.5 API + Google AI Studio

01:03:09 — Chrome AI Rollout

01:06:53 — 8 Google Employees Invented Modern AI. Here is the Inside Story

This week’s episode is brought to you by our Marketing AI Conference (MAICON).

From September 10-12 this year, we’re excited to host our 5th annual MAICON at this pivotal point for our industry. 

MAICON was created for marketing leaders and practitioners seeking to drive the next frontier of digital marketing transformation within their organizations. At MAICON, you’ll learn from top AI and marketing experts, while connecting with a passionate, motivated community of forward-thinking professionals. 

Now is the best time to get your MAICON ticket. Ticket prices go up after Friday, March 22. Visit www.maicon.ai to learn more.

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After last week's predictions of the future of AI, we are starting to see glimpses of these innovations continue to grow in AI Agents, robotics, and more. In Episode 88 of the Artificial Intelligence Show, hosts Paul Roetzer and Mike Kaput highlight Cognition's AI software engineer 'Devin', the significance behind Figure’s Humanoid Robots and OpenAI's Mira Muratis's questionable responses to questions about Sora's training data in a WSJ Interview.

00:03:27 — Cognition releases Devin, the first “AI software engineer”

00:14:52 — The Significance Behind Figure’s Humanoid Robots 

00:22:08 — OpenAI CTO Questioned on Sora AI Model's Data Sources in WSJ Interview

00:29:13 — European Union’s Artificial Intelligence Act approved by the European Parliament 

00:33:46 — Suno AI, music generation based on text prompts

00:39:04 — Grok is now open source

00:43:26 — The Top 100 Consumer GenAI Apps from venture capital firm Andreessen Horowitz

00:46:58 — Apple Inc. in talks to build Google’s Gemini AI into the iPhone

00:50:06 — Midjourney introduces feature to maintain consistency in image creation

This week’s episode is brought to you by our Marketing AI Conference (MAICON).

From September 10-12 this year, we’re excited to host our 5th annual MAICON at this pivotal point for our industry. 

MAICON was created for marketing leaders and practitioners seeking to drive the next frontier of digital marketing transformation within their organizations. At MAICON, you’ll learn from top AI and marketing experts, while connecting with a passionate, motivated community of forward-thinking professionals. 

Now is the best time to get your MAICON ticket. Ticket prices go up after Friday, March 22. Visit www.maicon.ai to learn more.

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Prepare to look into the future in this episode of The Artificial Intelligence Show! Last week, we briefly discussed a bombshell quote from Sam Altman, this week, we explore its deeper implications. Alongside discussing Altman's insights, we'll examine the effects of AI on enterprise businesses, share our experiences from the AI for Writers Summit, and more. Join us for an episode filled with thought-provoking questions, insightful comments, and thorough analysis of the future of AI.

00:03:25 — Revisiting Sam Altman’s Bombshell Quote

00:49:31 — Deloitte predicts enterprise spending on generative AI will grow by 30%

00:54:39 — AI for Writers Summit Recap

01:01:16 — OpenAI releases emails from Elon Musk

01:03:46 — Musk announces Grok will be open sourced

01:06:04 — Political deepfakes are on the rise

01:09:04 — Inflection 2.5

01:11:44 — Google and Microsoft security incidents and what they mean for AI

Today’s episode is brought to you by Marketing AI Institute’s AI for Writers Summit.

The Summit drew more than 4,600 writers, editors, business leaders, and marketers from 50 states and 93 countries. During the event, AI experts covered topics like the state of AI and writing, generative AI writing tools to know, generative AI insights from an IP attorney, enterprise AI adoption, and more.

If you missed it—or want access to the sessions you saw as an attendee—the full Summit is available for purchase on-demand for $99.

To learn more, go to www.aiwritersummit.com.

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After a week of incredible AI happenings, Episode 86 of the Artificial Intelligence Show examines the lawsuit filed by Elon Musk against OpenAI, the broader implications of AI and AGI, and growing concerns among content creators about the rise of AI-generated content. All this and more in our rapid fire section!

00:04:22 — Elon Musk Sues OpenAI 

00:25:18 — AGI Timeline and Impact

00:40:54 — Creators fears about AI-generated content

00:49:51 — Figure raises $675M in Series B funding at a $2.6B valuation

00:52:30 — Apple’s abandoned quest to build a self-driving car, project Titan

00:55:17 — Salesforce’s Einstein Copilot

01:01:57 — Mistral AI positions itself as a rising star in the AI world

01:04:10 — Introducing the next generation of Claude

Today’s episode is also brought to you by Marketing AI Institute’s AI for Writers Summit, happening virtually on Wednesday, March 6 from 12pm - 4pm Eastern Time.

Following the tremendous success of the inaugural AI for Writers Summit in March 2023, which drew in 4,000 writers, editors, and content marketers, we are excited to present the second edition of the event, featuring expanded topics and even more valuable insights.

During this year’s Summit, you’ll:

• Discover the current state of AI writing technologies.
• Uncover how generative AI can make writers and content teams more efficient and creative.
• Learn about dozens of AI writing use cases and tools. 
• Consider emerging career paths that blend human + machine capabilities. 
• Explore the potential negative effects of AI on writers. 
• Plan for how you and your company will evolve in 2024 and beyond.  



The best part? Thanks to our sponsors, there are free ticket options available!

To register, go to AIwritersummit.com

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In this episode of The Artificial Intelligence Show, Paul and Mike dive into the latest AI news, starting with NVIDIA's impressive earnings, and the viral buzz around AI startup Groq. Our rapid fire section is packed with everything from the ethical considerations of AI companies licensing data, to AI mistakes in customer service as seen with Air Canada, and the critical efforts to combat AI deepfakes to protect elections.

00:03:20 — NVIDIA’s blockbuster earnings report

00:21:18 — AI startup, Groq, goes viral

00:31:20 — The true impact AI is going to have on your work 

00:42:35 — AI companies are licensing data from Reddit 

00:45:42 — AI Agents in the wild

00:49:23 — Google Gemini image generation issues

00:57:30 — Air Canada forced to give partial refund to a passenger due to AI chatbot mistake

01:00:43 — Efforts to Fight AI Deepfake and Protect Elections 

01:02:40 — Google Introduces Gemini Business

Today’s episode is also brought to you by Marketing AI Institute’s AI for Writers Summit, happening virtually on Wednesday, March 6 from 12pm - 4pm Eastern Time.

Following the tremendous success of the inaugural AI for Writers Summit in March 2023, which drew in 4,000 writers, editors, and content marketers, we are excited to present the second edition of the event, featuring expanded topics and even more valuable insights.

During this year’s Summit, you’ll:

• Discover the current state of AI writing technologies.
• Uncover how generative AI can make writers and content teams more efficient and creative.
• Learn about dozens of AI writing use cases and tools. 
• Consider emerging career paths that blend human + machine capabilities. 
• Explore the potential negative effects of AI on writers. 
• Plan for how you and your company will evolve in 2024 and beyond.  



The best part? Thanks to our sponsors, there are free ticket options available!

To register, go to AIwritersummit.com

Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase

Want to receive our videos faster? SUBSCRIBE to our channel!

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After a whirlwind week of AI announcements, hosts Paul Roetzer and Mike Kaput breakdown and analyze some of the key updates. Episode 84 of The Artificial Intelligence Show discusses the potential of OpenAI's new video generation model, Sora, Google's Gemini 1.5's advancements, and efforts by major tech companies, including Meta, to regulate AI-generated content through the C2PA standard.

00:03:12 — OpenAI Releases Sora

00:18:59 — Google’s next-gen model: Gemini 1.5

00:29:50 — Big tech gets behind C2PA industry standards for labeling AI content

00:41:21 — Researcher Andrej Karpathy Departs OpenAI

00:44:20 — Meta releases Video Joint Embedding Predictive Architecture (V-JEPA) model

00:49:33 — Memory and new controls for ChatGPT

00:56:11 — OpenAI Develops Web Search Product 

00:58:31 — Judge rejects most ChatGPT copyright claims from book authors

01:01:33 — Revisiting Paul’s MAICON 2023 Keynote

Today’s episode is also brought to you by Marketing AI Institute’s AI for Writers Summit, happening virtually on Wednesday, March 6 from 12pm - 4pm Eastern Time.

Following the tremendous success of the inaugural AI for Writers Summit in March 2023, which drew in 4,000 writers, editors, and content marketers, we are excited to present the second edition of the event, featuring expanded topics and even more valuable insights.

During this year’s Summit, you’ll:

• Discover the current state of AI writing technologies.
• Uncover how generative AI can make writers and content teams more efficient and creative.
• Learn about dozens of AI writing use cases and tools. 
• Consider emerging career paths that blend human + machine capabilities. 
• Explore the potential negative effects of AI on writers. 
• Plan for how you and your company will evolve in 2024 and beyond.  

The best part? Thanks to our sponsors, there are free ticket options available!

To register, go to AIwritersummit.com

Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase

Want to receive our videos faster? SUBSCRIBE to our channel!

Visit our website: https://www.marketingaiinstitute.com

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Looking for content and resources?

Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar

Come to our next Marketing AI Conference: www.MAICON.ai

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This week, you might notice something different about the podcast—we have changed the name to The Artificial Intelligence Show and dropped the word ‘Marketing’ from the title. 

Since our first episode, our audience has expanded beyond the marketing industry. In part of our evolution and our movement toward AI Literacy for All, we transitioned to our new name to simplify and align with our current audience. Nothing else has changed beyond our name; we will still follow the same format, release schedule, and dedication to exploring the constant changes in the world of AI. 

Welcome to Episode 83 of the Artificial Intelligence Show! Today, we delve into Google Bard's rebranding to Gemini, explore the inevitability of AI Agents, and discuss Sam Altman's trillion-dollar request to reshape AI.

This episode is brought to you by our sponsors: 

Today’s episode is also brought to you by Marketing AI Institute’s AI for Writers Summit, happening virtually on Wednesday, March 6 from 12pm - 4pm Eastern Time.

Following the tremendous success of the inaugural AI for Writers Summit in March 2023, which drew in 4,000 writers, editors, and content marketers, we are excited to present the second edition of the event, featuring expanded topics and even more valuable insights.

During this year’s Summit, you’ll:

• Discover the current state of AI writing technologies.
• Uncover how generative AI can make writers and content teams more efficient and creative.
• Learn about dozens of AI writing use cases and tools. 
• Consider emerging career paths that blend human + machine capabilities. 
• Explore the potential negative effects of AI on writers. 
• Plan for how you and your company will evolve in 2024 and beyond.  

The best part? Thanks to our sponsors, there are free ticket options available!

To register, go to AIwritersummit.com

--

This episode is also brought to you by our brand new Piloting AI 2024 course.

Piloting AI 2024 is a collection of 18 on-demand courses designed as a step-by-step learning path for beginners at all levels, from interns to CMOs. 

The course provides an overview of the basics of AI and how it works; deep dives into practical frameworks to get started; a brand new generative AI 101 course, and dozens of sample use cases and AI tools that will accelerate your adoption and success.

The series includes approximately 9 hours of content, complete with on-demand short courses, quizzes, downloadable resources, a final exam, and a professional certificate upon completion

The courses were recorded in January 2024, so you’ll get all the latest information. 

Go to PilotingAI.com to learn more, and register today!

Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase

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In Episode 82 of The Marketing AI Show, discover the newest advancements in AI, where certain updates may feel like they are directly from a Sci-Fi movie. Hosts Paul Roetzer and Mike Kaput explore the rationale behind paid AI tools, the newest updates from Google Bard, and Big Tech's AI-driven quarterly earnings calls.

00:05:18 — Are paid AI tools worth the $30/user/month cost?

00:16:33 — Google Bard just got some more big updates

00:27:47 — Apple, Alphabet, Microsoft and Meta’s AI-Driven Earnings Calls

00:42:25 — Apple Vision Pro launches 

00:49:25 — Who Owns Your Voice?

00:53:51 — The hottest new job in corporate America? Chief AI Officer.

00:57:11 — The First Human Received a Brain Implant from Elon Musk’s Neuralink

01:02:20 — Microsoft Copilot for Sales and Copilot for Service are now generally available

01:05:56 — Amazon announces Rufus, a new Gen AI-powered shopping experience

This episode is brought to you by our sponsors: 

Today’s episode is brought to you by Marketing AI Institute’s AI for Writers Summit, happening virtually on Wednesday, March 6 from 12pm - 4pm Eastern Time.

Following the tremendous success of the inaugural AI for Writers Summit in March 2023, which drew in 4,000 writers, editors, and content marketers, we are excited to present the second edition of the event, featuring expanded topics and even more valuable insights.

During this year’s Summit, you’ll:

• Discover the current state of AI writing technologies.
• Uncover how generative AI can make writers and content teams more efficient and creative.
• Learn about dozens of AI writing use cases and tools. 
• Consider emerging career paths that blend human + machine capabilities. 
• Explore the potential negative effects of AI on writers. 
• Plan for how you and your company will evolve in 2024 and beyond.  

The best part? Thanks to our sponsors, there are free ticket options available!

To register, go to AIwritersummit.com

--

This episode is also brought to you by our brand new Piloting AI 2024 course.

Piloting AI 2024 is a collection of 18 on-demand courses designed as a step-by-step learning path for beginners at all levels, from interns to CMOs. 

More than 800 learners registered for the inaugural 2023 edition. The fully updated series, including a new Generative AI 101 course, is available on pre-sale now, and the full course launches this week on Thursday, Feb. 8.

Go to PilotingAI.com to learn more.

Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase

Want to receive our videos faster? SUBSCRIBE to our channel!

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Looking for content and resources?

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Discover how Publicis Groupe's massive $326 million AI investment is set to revolutionize ad agency operations on Episode 81 of The Marketing AI Show with hosts Paul Roetzer and Mike Kaput. We also discuss Google Bard's leap over GPT-4 in AI model rankings and introduce our mission to enhance AI literacy for all with our latest educational courses. Tune in for even more insightful analysis on these significant AI advancements!

00:05:07 — Publicis to invest 300 mln euros in AI plan over next three years

00:22:14 — Bard with Gemini Pro surpasses GPT-4 on top LLM evaluation leaderboard

00:29:49 — Introducing AI Literacy for All

00:42:50 — The career trajectories of the researchers behind one of AI’s most important papers

00:47:04 — Google announces AI video generator Lumiere.

00:51:21 — Chrome is getting a new experimental AI writing feature.

00:55:04 — Fake Joe Biden robocall tells New Hampshire Democrats not to vote

00:58:09 — White House calls for legislation to stop Taylor Swift AI fakes

01:01:22 — What AI can’t—and shouldn’t—do

01:04:39 — One easy way to apply AI throughout your day

This episode is brought to you by BrandOps: 

Many marketers use ChatGPT to create marketing content, but that's just the beginning. When we sat down with the BrandOps team, we were impressed by their complete views of brand marketing performance across channels. Now you can bring BrandOps data into ChatGPT to answer your toughest marketing questions.

Use BrandOps data to drive unique AI content based on what works in your industry. Visit brandops.io/marketingaishow to learn more and see BrandOps in action.

Today’s episode is also brought to you by Marketing AI Institute’s AI for Writers Summit, happening virtually on Wednesday, March 6 from 12pm - 4pm Eastern Time.

Following the tremendous success of the inaugural AI for Writers Summit in March 2023, which drew in 4,000 writers, editors, and content marketers, we are excited to present the second edition of the event, featuring expanded topics and even more valuable insights.

Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase

Want to receive our videos faster? SUBSCRIBE to our channel!

Visit our website: https://www.marketingaiinstitute.com

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Looking for content and resources?

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Come to our next Marketing AI Conference: www.MAICON.ai

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Join our community:

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Join hosts Mike Kaput and Paul Roetzer in this informative episode as they explore the latest advancements in AI. They discuss Microsoft's innovative release of Copilot Pro, Meta's ambitious project on 'Open Source' Artificial General Intelligence, and the IMF's significant prediction that AI will affect 40% of jobs worldwide. Prepare for a comprehensive analysis of how these developments are revolutionizing the tech world and what it means for the future of work. Don't miss the rapid-fire section of the podcast for even more insights. 

00:03:35 — Microsoft’s new Copilot Pro brings AI-powered Office features to everyone

00:11:34 — Meta announces it’s building open source AGI.

00:25:57 — IMF warns AI to hit almost 40% of jobs worldwide and worsen overall inequality

00:36:35 — Altman says ChatGPT will have to evolve in “uncomfortable” ways

00:43:40 — How OpenAI, Meta, Google are planning for 2024 elections

00:47:22 — OpenAI says it’s “impossible” to create useful AI models w/o copyrighted material

00:49:40 — The AI phones are coming

00:52:30 — Elon Musk gives Tesla ultimatum: Another 12% of shares or no AI, robotics

This episode is brought to you by BrandOps: 

Many marketers use ChatGPT to create marketing content, but that's just the beginning. When we sat down with the BrandOps team, we were impressed by their complete views of brand marketing performance across channels. Now you can bring BrandOps data into ChatGPT to answer your toughest marketing questions.

Use BrandOps data to drive unique AI content based on what works in your industry. Visit brandops.io/marketingaishow to learn more and see BrandOps in action.

Today’s episode is also brought to you by Marketing AI Institute’s AI for Writers Summit, happening virtually on Wednesday, March 6 from 12pm - 4pm Eastern Time.

Following the tremendous success of the inaugural AI for Writers Summit in March 2023, which drew in 4,000 writers, editors, and content marketers, we are excited to present the second edition of the event, featuring expanded topics and even more valuable insights.

Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase

Want to receive our videos faster? SUBSCRIBE to our channel!

Visit our website: https://www.marketingaiinstitute.com

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Looking for content and resources?

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Hosts Mike Kaput and Paul Roetzer catch up in another episode of The Marketing AI Show, in a busy week where there was no shortage of AI news. OpenAI stays in the news with ChatGPT team subscriptions rolling out (which Paul signed our team up for) and GPT Store. Rabbit hit the news, and quickly sold out. And there’s much more in the rapid-fire section of the podcast, so be sure to tune in!

00:03:25 — OpenAI debuts ChatGPT subscription aimed at small teams

00:20:03 — Introducing the GPT Store

00:30:08 — Rabbit sells out 10,000 units of its R1 pocket AI companion in one day

00:46:57 — OpenAI and journalism

00:50:24 — OpenAI in content licensing talks with CNN, Fox and Time

00:51:58 — 94% of Google SGE links are different from organic search results, study finds

00:55:58 — Duolingo Cuts 10% of Contractors as It Uses More AI to Create App Content

00:57:03 — Google removes 17 features from Google Assistant and conducts layoffs

00:58:03 — Generative AI isn’t a home run in the enterprise

01:00:55 — Quora raises $75M from Andreessen Horowitz

This episode is brought to you by BrandOps: 

Many marketers use ChatGPT to create marketing content, but that's just the beginning. When we sat down with the BrandOps team, we were impressed by their complete views of brand marketing performance across channels. Now you can bring BrandOps data into ChatGPT to answer your toughest marketing questions.

Use BrandOps data to drive unique AI content based on what works in your industry. Visit brandops.io/marketingaishow to learn more and see BrandOps in action.

Today’s episode is also brought to you by Marketing AI Institute’s AI for Writers Summit, happening virtually on Wednesday, March 6 from 12pm - 4pm Eastern Time.

Following the tremendous success of the inaugural AI for Writers Summit in March 2023, which drew in 4,000 writers, editors, and content marketers, we are excited to present the second edition of the event, featuring expanded topics and even more valuable insights.

Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase

Want to receive our videos faster? SUBSCRIBE to our channel!

Visit our website: https://www.marketingaiinstitute.com

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Looking for content and resources?

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Join our community:

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Facebook: https://www.facebook.com/marketingAIinstitute

Kicking off the new year after a brief hiatus, our first 2024 episode looks at the latest advancements in AI. Join hosts Mike Kaput and Paul Roetzer as they discuss the significant legal battle between The New York Times and OpenAI/Microsoft, explore the concepts driving the 'e/acc' Movement, and examine the implications of deepfake technology.

00:05:19 — New York Times sues OpenAI and Microsoft for copyright infringement

00:23:38 — Inside the e/acc movement

00:42:20 — Ethan Mollick’s perspective on the growing power of deepfakes

00:51:51 — AI-powered search engine Perplexity AI raises $73.6M

01:03:35 — Microsoft’s new Copilot key is the first change to Windows keyboards in 30 years

01:05:08 — OpenAI’s app store for GPTs will launch next week

01:07:59 — Issues with Anthropic’s Claude

This episode is brought to you by BrandOps: 

Many marketers use ChatGPT to create marketing content, but that's just the beginning. When we sat down with the BrandOps team, we were impressed by their complete views of brand marketing performance across channels. Now you can bring BrandOps data into ChatGPT to answer your toughest marketing questions.

Use BrandOps data to drive unique AI content based on what works in your industry. Visit brandops.io/marketingaishow to learn more and see BrandOps in action.

Today’s episode is also brought to you by Marketing AI Institute’s AI for Writers Summit, happening virtually on Wednesday, March 6 from 12pm - 4pm Eastern Time.

Following the tremendous success of the inaugural AI for Writers Summit in March 2023, which drew in 4,000 writers, editors, and content marketers, we are excited to present the second edition of the event, featuring expanded topics and even more valuable insights.

Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase

Want to receive our videos faster? SUBSCRIBE to our channel!

Visit our website: https://www.marketingaiinstitute.com

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Looking for content and resources?

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Our Intro to AI courses offer foundational insights into the world of artificial intelligence. Having completed 32 sessions, we've encountered a diverse array of questions from our attendees. In this week's podcast episode, we're excited to delve into the most frequently posed questions and provide insightful answers. We hope you enjoy this episode, and join us for our first Intro to AI for Marketers class of 2024 on January 11! 

00:05:27 — How does an enterprise go from “one-off” approaches to a more holistic AI strategy where tools and apps are chained together and are aligned to the ultimate goal of the company?

00:07:46 — How can I train AI on my company’s content?

00:10:38 — How much concern should I (my company) have about the content we feed into these public models? How do we keep data privacy top of mind?

00:12:24 — What is (or what will be) generative AI’s impact on search? How can marketers and businesses mitigate risk or stay ahead?

00:14:34 — To what extent does success with AI require good data? Should we be using the potential of AI as a trigger to elevate a culture of data hygiene across our organization?

00:15:56 — What are your best recommendations for agencies looking to take their teams (or their leadership team) on this journey?

00:18:25 — Once AI usage in marketing scales and matures, how will it impact the marketing team structure, and certain roles & responsibilities?

00:23:03 — In which marketing roles/functions are you seeing the greatest increase in efficiency or productivity?

00:25:44 — What are the pros and cons of using ChatGPT in the workplace?

00:29:21 — What advice do you have for marketers eager to take your advice who are hamstrung by overly restrictive AI policies from risk-averse legal teams? Is there support for pushing back?

00:32:07 — Are there prompt engineering rules or best practices to help validate the accuracy of data included in the content and also avoid controversial topics/language?

00:36:32 —What suggestions do you have for AI development for small companies with a specialized market focus?  

00:39:04 — What marketing processes/tasks do you feel can/will benefit most from GenAI? Which ones do you feel are least likely to benefit? 

00:41:06 — We talked a little on the last Intro to AI class about AI for lead gen. You had some good thoughts about thinking bigger than generating leads, and more about the content needed, analysis being done, etc. Can we talk more about that?

00:43:59 — What’s the best way, the best tool, the best use case to get started? 

Algomarketing connects ambitious B2B enterprises to the competitive advantages of the autonomous. Their workforce solutions work to unlock the power of algorithmic marketing through innovation, big data, and optimal tech stack performance. Visit Algomarketing.com/aipod and find out how Algomarketing can help you deliver deeper insights, faster executions, and streamlined operations through the power of AI.

Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase

Want to receive our videos faster? SUBSCRIBE to our channel!

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After a week that began quietly, we are here with a multitude of AI developments. Mike and Paul look into Silicon Valley's intense AI competition, where tech companies like Google, Microsoft, and Meta rapidly shift gears to focus on rapid AI development, they also look at the implications of Google's new Gemini and read into the events within OpenAI, exploring the aftermath.

00:03:32 — New York Times research explores the AI arms race

00:14:41 — Meet Gemini, Google’s long-awaited GPT-4 competitor

00:28:02 — A Brief Wrap-Up of the OpenAI saga 

00:34:05 — GrokAI is now rolling out 

00:42:14 — The European Union agrees on final details of landmark AI law, the AI Act

00:45:00 — Mistral releases a new LLM with a torrent link and zero fanfare

00:50:06 — Microsoft announces what’s next for Copilot

00:53:18 — Runway partners with Getty Images to build a safe AI video generation model

00:56:59 — Andrej Karpathy and the “hallucination” problem

Algomarketing connects ambitious B2B enterprises to the competitive advantages of the autonomous. Their workforce solutions work to unlock the power of algorithmic marketing through innovation, big data, and optimal tech stack performance. Visit Algomarketing.com/aipod and find out how Algomarketing can help you deliver deeper insights, faster executions, and streamlined operations through the power of AI.

Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase

Want to receive our videos faster? SUBSCRIBE to our channel!

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A new week, a new update from OpenAI… We cover everything from OpenAI's official CEO announcement to Amazon's introduction of Q, discuss the potential risks associated with generative AI, and touch upon Google's recent decision to postpone their AI software release. With so much happening in the AI landscape, we're here to keep you informed. Tune in this week to stay up-to-date with the latest news! 

00:02:20 — OpenAI formally announces Sam Altman returning as company CEO

00:13:47 — Amazon introduces Q

00:23:19 — Mollick warns on the danger presented by AI-Generated content

00:33:34 — Microsoft research indicates the power of Generative AI 

00:40:54 — Google postpones big AI launch as OpenAI trails ahead

00:43:29 — Ego, Fear and Money: How the A.I. Fuse Was Lit

00:50:10 — More than half of generative AI adopters use unapproved tools at work

00:54:17 — Sports Illustrated Published Articles by Fake, AI-Generated Writers

00:58:07 — Apple launches personalized voice

01:01:03 — A fun experiment with ChatGPT / DALL-E 3

Algomarketing connects ambitious B2B enterprises to the competitive advantages of the autonomous. Their workforce solutions work to unlock the power of algorithmic marketing through innovation, big data, and optimal tech stack performance. Visit Algomarketing.com/aipod and find out how Algomarketing can help you deliver deeper insights, faster executions, and streamlined operations through the power of AI.

Use BrandOps data to drive unique AI content based on what works in your industry. Many marketers use ChatGPT to create marketing content, but that's just the beginning. BrandOps offers complete views of brand marketing performance across channels. Now you can bring BrandOps data into ChatGPT to answer your toughest marketing questions. 

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This week, returning from Thanksgiving, we are grateful for both Mike Kaput and Paul Roetzer joining us to share the latest AI news. Together, they tackle the latest OpenAI developments, analyze Andrej Karpathy's insightful video on LLMs, explore Ethan Mollick's new article on AI's business impact, and cover the latest AI advancements from various companies.

00:02:41 — AGI, Q* and the latest drama at OpenAI

00:21:59 — Andrej Karpathy’s “The Busy Person’s Intro to LLMs,” is now on YouTube

00:41:14 — Ethan Mollick’s article on how AI should cause companies to reinvent themselves

00:49:54 — Anthropic releases a new version of Claude, Claude 2.1

00:52:42 — Inflection unveils Inflection-2, an AI model that may outperform Google and Meta

00:55:10 — Google’s Bard Chatbot can now answer questions about YouTube videos

00:56:37 — ElevenLabs Speech to Speech tool

00:58:06 — StabilityAI releases Stable Video Diffusion

00:59:39 — Cohere launches a suite of fine-tuning tools to customize AI models.

Meet Akkio, the generative business intelligence platform that lets agencies add AI-powered analytics and predictive modeling to their service offering. Akkio lets your customers chat with their data, create real-time visualizations, and make predictions. Just connect your data, add your logo, and embed an AI analytics service to your site or Slack. Get your free trial at akkio.com/aipod.

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In light of the developments from OpenAI over the weekend, we are coming to you with a new episode a little ahead of schedule. Following OpenAI’s announcement on Friday, there has been widespread speculation about future implications amidst other significant developments. Join us this week as Paul provides a brief history of OpenAI’s journey, a recap of recent events, and thoughts on what is yet to come.

00:01:46 — An overview of this weekend's events; Sam Altman fired, Greg Brockman quits

00:06:35 — Taking flight while OpenAI crashes

00:13:09 — Three factors that initially jumped out to Paul

00:15:10 — The history and structure of OpenAI explained

00:33:35 — Superintelligence and navigating the future of AGI

00:36:00 — Altman’s next steps towards GPT-5 and development of OpenAI

00:42:15 — The current state of affairs of Sam Altman, Microsoft and OpenAI

00:49:49 — Final thoughts on the beginning of a transformational time

Meet Akkio, the generative business intelligence platform that lets agencies add AI-powered analytics and predictive modeling to their service offering. Akkio lets your customers chat with their data, create real-time visualizations, and make predictions. Just connect your data, add your logo, and embed an AI analytics service to your site or Slack. Get your free trial at akkio.com/aipod.

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Last week's episode of The Marketing AI Show delved into the recent GPT announcement and this week, we're taking it a step further with insights from our hands-on testing. Join us in episode 72 as we explore the latest capabilities of GPTs, delve into predictions about the rapid approach of AGI, and share our thoughts on the newly released AI wearable by former Apple experts, which, frankly, met our expectations. Stay tuned for an in-depth analysis and much more in this exciting episode!

00:01:49 — Our Hands-on testing with GPTs

00:23:31 — A new paper was released that proposes a framework for classifying AGI

00:36:30 — Wearable 'Ai Pin' launched by Humane

00:44:48 — Bill Gates claims AI is going to completely change how you use computers

00:47:59 — The Actors Strike in Hollywood has come to an end

00:50:28 — Meta to require advertisers to disclose AI content in political ads

00:54:13 — Microsoft announces five steps to protect electoral processes in 2024

00:56:52 — Amazon is training a new large language model, Olympus

00:59:43 —Google AI features across performance max campaigns within Google Ads

Meet Akkio, the generative business intelligence platform that lets agencies add AI-powered analytics and predictive modeling to their service offering. Akkio lets your customers chat with their data, create real-time visualizations, and make predictions. Just connect your data, add your logo, and embed an AI analytics service to your site or Slack. Get your free trial at akkio.com/aipod.

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It was another week of exciting news in the world of AI! Paul and Mike discuss recent ChatGPT announcements from OpenAI’s inaugural DevDay, xAI’s announcement of their new conversational AI agent Grok, and Gavin Baker’s analysis of enduring foundational models. There is lots to catch up on and understand, tune in to learn more!

00:02:26 — OpenAI made big ChatGPT announcements at DevDay and unveiled “GPTs”

00:19:33 — xAI and Elon Musk announced Grok, xAI’s new conversational AI Agent

00:30:28 — AI watcher, Gavin Baker, breaks down the future of foundational models

00:37:17 — Microsoft 365 CoPilot is now available for select enterprise customers

00:40:53 — Hubspot acquires Clearbit

00:43:01 — AI godfather Yann LeCun warns against AI one-percenters monopolizing power 

00:47:01 — AI leaders submit letter of concern to Biden over open-source AI development

00:48:50 — AI company creates chatbot of AI journalist and commentator, Sinead Bovell, without her consent

Meet Akkio, the generative business intelligence platform that lets agencies add AI-powered analytics and predictive modeling to their service offering. Akkio lets your customers chat with their data, create real-time visualizations, and make predictions. Just connect your data, add your logo, and embed an AI analytics service to your site or Slack. Get your free trial at akkio.com/aipod.

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Paul and Mike look into the “tricks-and-treats” of AI news this Halloween on Episode 70 of the Marketing AI Show! This week, our hosts examine the White House Executive Order on AI, Apple’s announcement to spend $1 billion on AI yearly, and OpenAI’s Chief Scientist’s discussion on his hopes and fears for the future of AI.

00:03:16 — White House issues ambitious executive order on development and oversight of AI

00:25:17 — Apple is set to spend around $1 billion per year in developing its own generative AI capabilities. 

00:31:58 — Ilya Sutskever discusses his hopes, fears, and the “earth-shattering” effects of AI in the future

00:39:59 — DadJokeGPT, experimenting with generative AI creativity

00:45:20 — MAII’s hands-on experience with fixing recorded speech with Overdub + AI Actions from Descript

00:48:23 — Amazon rolls out AI-powered image generation to help advertisers deliver a better ad experience for customers

00:51:29 — Generative AI, SEO, and what leaders should know: Google search in the future

00:56:26 — Google agrees to invest up to $2 billion in OpenAI rival Anthropic

Use BrandOps data to drive unique AI content based on what works in your industry. Many marketers use ChatGPT to create marketing content, but that's just the beginning. BrandOps offers complete views of brand marketing performance across channels. Now you can bring BrandOps data into ChatGPT to answer your toughest marketing questions. 

The AI for Agencies Summit is a virtual half-day summit happening on November 2. The AI for Agencies Summit is designed for marketing agency practitioners and leaders who are ready to reinvent what’s possible in their business and embrace smarter technologies to accelerate transformation and value creation. To register, go to AIforAgencies.com and use the code AIPOD50 to get $50 off your ticket.

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From lawsuits to the expansion of AI Agents, we are back with even more AI news this week on Episode 69 of The Marketing AI Show. Paul and Mike explore the growing role of AI Agents on the internet, discuss Air Street Capital's 2023 State of AI Report, and delve into a recent study highlighting executive’s worries about today's workforce skills becoming outdated within two years because of AI.

00:05:00 — The rise of AI Agents on the Internet

00:16:06 — Air Street Capital just released its sixth annual State of AI report

00:26:00 — Bombshell survey from edX reveals exec's belief that half of all skills in today’s workforce will not be relevant two years from now, thanks to AI.

00:35:08 — Marc Andreessen Techno-Optimist Manifesto

00:42:00 — Upcoming U.S. election indicative of a misinformation disaster due to AI-generated fake content

00:45:42 — Google announces they will defend users of its generative AI products 

00:47:22 — Anthropic being sued by Universal Music Group

00:49:07 — DALL-E 3 available to all users in ChatGPT Plus and Enterprise

00:52:52 — Descript teases new AI updates

Use BrandOps data to drive unique AI content based on what works in your industry. Many marketers use ChatGPT to create marketing content, but that's just the beginning. BrandOps offers complete views of brand marketing performance across channels. Now you can bring BrandOps data into ChatGPT to answer your toughest marketing questions. 

The AI for Agencies Summit is a virtual half-day summit happening on November 2. The AI for Agencies Summit is designed for marketing agency practitioners and leaders who are ready to reinvent what’s possible in their business and embrace smarter technologies to accelerate transformation and value creation. To register, go to AIforAgencies.com and use the code AIPOD50 to get $50 off your ticket.

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It was another interesting and busy week in the world of AI. Paul and Mike talk about tech updates with Zoom, Adobe, and DALL-E 3, and how OpenAI is on pace to reach $1 billion in revenue in the next 12 months. Wow! Tune in to learn more.

00:04:14 — Zoom’s AI companion

00:15:31 — DALL-E 3

00:25:21 — Adobe Creative Cloud’s AI updates

00:37:56 — Replit AI for all

00:41:27 — AI that identifies strangers online 

00:46:03 — OpenAI is on track to generate $1B in 12 months

00:48:32 — AI deepfakes in the music industry

00:51:02 — Meta’s new AI characters

Use BrandOps data to drive unique AI content based on what works in your industry. Many marketers use ChatGPT to create marketing content, but that's just the beginning. BrandOps offers complete views of brand marketing performance across channels. Now you can bring BrandOps data into ChatGPT to answer your toughest marketing questions. http://brandops.io/marketingaishow

The AI for Agencies Summit is a virtual half-day summit happening on November 2. The AI for Agencies Summit is designed for marketing agency practitioners and leaders who are ready to reinvent what’s possible in their business and embrace smarter technologies to accelerate transformation and value creation. To register, go to AIforAgencies.com and use the code AIPOD50 to get $50 off your ticket. AIforAgencies.com

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There was no shortage of AI product updates this week! We are back with lots of exciting AI news for episode 67 of The Marketing AI Show. Paul and Mike break down their experiences with ChatGPT Vision, delve into AI tech controversies, discuss a more personalized AI assistant with Bard, and more.

00:04:14 — MAII Tests ChatGPT’s Vision capabilities

00:23:14 — Rewind introduces controversial wearable AI pendant

00:35:41 — Google announces Assistant with Bard

00:43:06 — Adobe aims to improve AI image editing with Project Stardust

00:45:30 — Canva begins Magic Studio rollout

00:48:41 — Zoom expands features of AI companion

00:51:55 — Asana introduces new AI features

00:54:45 — Tom Hanks warns followers against synthetic AI Media

00:58:47 — Anthropic in talks to raise at least $2 billion more in funding

Use BrandOps data to drive unique AI content based on what works in your industry. Many marketers use ChatGPT to create marketing content, but that's just the beginning. BrandOps offers complete views of brand marketing performance across channels. Now you can bring BrandOps data into ChatGPT to answer your toughest marketing questions. http://brandops.io/marketingaishow

The AI for Agencies Summit is a virtual half-day summit happening on November 2. The AI for Agencies Summit is designed for marketing agency practitioners and leaders who are ready to reinvent what’s possible in their business and embrace smarter technologies to accelerate transformation and value creation. To register, go to AIforAgencies.com and use the code AIPOD50 to get $50 off your ticket.

AIforAgencies.com

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After travels to Miami and Austin (Paul), and Baltimore (Mike) for events and presentations, the team is back together in Cleveland to record episode 66 of The Marketing AI Show. And the AI news didn’t slow down. The guys break down the biggest happenings and advancements including further development of ChatGPT, Meta, Anthropic, Spotify, and more.

00:05:09 — Kevin Roose took ChatGPT’s new features to the test

00:26:13 — Meta introduces AI Experiences

00:37:12 — Amazon invests $4B in Anthropic

00:45:47 — Spotify clones podcasters’ voices

00:51:21 — Writers Guild and studios reach a deal

00:54:11 — Getty trains licensed images

00:57:03 — Google indexes public Bard conversations in search results

01:00:49 — Student use cases for AI

Use BrandOps data to drive unique AI content based on what works in your industry. Many marketers use ChatGPT to create marketing content, but that's just the beginning. BrandOps offers complete views of brand marketing performance across channels. Now you can bring BrandOps data into ChatGPT to answer your toughest marketing questions.  http://brandops.io/marketingaishow

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We’re back with an exciting week of AI news! This episode was recorded Sunday, Sept. 24, only to wake up to Anthropic/Amazon news, and ChatGPT updates! But more on that next week. In the meantime, Paul and Mike break down some exciting updates from OpenAI, Sequoia Capital, Microsoft, and more.

00:02:44 — DALL-E 3

00:08:12 — Sequoia Capital’s Act 2 of their Gen AI Market Map

00:18:45 — AI and the accounting industry

00:30:06 — Bard and the Google apps connection

00:33:29 — Microsoft announcements at its Surface and AI event

00:37:56 — EU Act implementation

00:42:28 — Jim Thune and Amy Klobuchar unveil major AI bill

00:43:00 — Famous writers join Authors Guild in class action lawsuit

00:46:17 — TikTok rolls out new label for AI-generated content

00:48:01 — Andy Crestodina’s AI for SEO blog post

00:49:58 — Twitter hides X posts with external links

This episode is brought to you by AiAdvertising. Start winning with AiAdvertising’s innovative approach to maximizing budget and performance. Use AI to optimize campaigns by gaining deep customer insights, drawing out motivations and behaviors, enabling intelligent targeting and ensuring messages hit the mark. Stop wasting time, money, and resources. Let AiAdvertising lead while you take the credit! Visit www.aiadvertising.com/aipod to learn more!

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Live from Los Angeles! As Mike records from Anaheim prepping for the California of Realtors annual REimagine event, and Paul Roetzer is coming off the heels of a whirlwind trip to Munich for an event he keynoted, they sit down for a quick 56 minutes to regroup on the latest in artificial intelligence, business, and marketing.

Paul and Mike discuss: AI and the workforce: professional services plus AI’s impact on our work, and what’s next for AI? And then, a handful of rapid-fire topics for you.

This episode is brought to you by AiAdvertising. Learn more at www.aiadvertising.com/aipod.

00:02:48 — Major service firms pivoting to AI

00:21:04 — AI and its impact on our work

00:42:59 — Where AI is going based on real-world experience

00:38:34 — “Getting this right with AI” according to Silicon Valley

00:43:32 — Dreamforce AI updates

00:46:22 — Google Gemini nears release

00:48:27 — Deutsche Bank and generative AI

00:51:08 — Newsom’s executive order on AI

00:52:39 — Stable Audio launches

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Inside Elon Musk’s struggle for the future of AI

We just got a never-before-seen look at how—and why—Elon Musk decided to go all-in on artificial intelligence. This comes from an article by Walter Isaacson in Time, and is adapted from his upcoming book Elon Musk, which publishes today! Issacson’s name may ring a bell, as he’s also the author of the Steve Jobs biography.) In the article, Issacson gives new details on the actions Elon Musk has taken to get highly involved in the future of AI. It turns out that Musk has become increasingly worried about the development of advanced AI—and considers it probable that we develop superintelligent AI that poses an existential risk to humanity if not properly shepherded into existence.

Much of his discontent seems to have come from rocky relationships with Google over its acquisition of DeepMind and displeasure that OpenAI, which he co-founded, pivoted away from being a non-profit lab releasing AI advancements for everyone to use and build upon. As Isaacson details, Musk has spent years developing dedicated AI capabilities across his companies, including Neuralink, Tesla, and SpaceX. He’s also actively considering how to use Twitter’s data to fuel AI systems.

Now, he’s founded an overarching AI company called xAI to tie together all these AI efforts—and tapped a former AI expert at DeepMind, Igor Babuschkin, to join the company. His goal? To ensure AI develops in a way that benefits humanity and guarantees that superintelligent AI doesn’t cause existential risks to the species at large. Musk has made some bold public statements before; it will be interesting to see what develops. 

We tested out Google Duet AI

Google recently released Duet AI for Google Workspace, an AI copilot across popular Google apps like Docs, Sheets, Slides, Gmail, and Meet—and Marketing AI Institute took a deep dive into its capabilities. Over the last week, we’ve spent hours kicking the tires of different Duet AI capabilities across the main apps…and we definitely have some thoughts on how marketers and business leaders can take advantage of these new AI capabilities.

Microsoft offers legal protection for AI copyright infringement challenges

Microsoft just announced Copilot Copyright Commitment, a policy that provides legal protection for customers sued for copyright infringement when using Microsoft's AI systems like GitHub Copilot and Bing Chat. 

This comes as the explosion of generative AI tools has raised concerns about reproducing copyrighted material without attribution, and Microsoft aims to give customers confidence in deploying AI without worrying about copyright issues by covering any legal damages. The policy covers Microsoft AI products that use built-in guardrails, as the company faces ongoing litigation over Copilot's alleged copyright violations from scraping code. 

"As customers ask whether they can use Microsoft’s Copilot services and the output they generate without worrying about copyright claims, we are providing a straightforward answer: yes, you can, and if you are challenged on copyright grounds, we will assume responsibility for the potential legal risks involved," writes Microsoft. A big statement. What does that mean for businesses? 

Enjoy the episode…and stick around for the rapid-fire topics, including announcements at INBOUND, Time’s Top 100 People in AI, and much more.

Introducing ChatGPT Enterprise

OpenAI announced they’re launching ChatGPT Enterprise. This is a version of ChatGPT with enterprise-grade security and privacy, unlimited higher-speed GPT-4 access, longer context windows, advanced data analysis capabilities, customization options, and more. 

The move appears to be a response to enterprise demand for a safe, compliant version of ChatGPT, says OpenAI. “Since ChatGPT's launch just nine months ago, we’ve seen teams adopt it in over 80% of Fortune 500 companies. We've heard from business leaders that they’d like a simple and safe way of deploying it in their organization.” Now, it looks like they’re getting just that.

New Google AI Updates at Google Cloud Next 23

Google made some big AI announcements at Google Cloud Next ‘23. The event was headlined by Google’s announcement that Duet AI for Workspace, its generative AI tool in Gmail, Docs, Sheets, Slides, Chat, and Meet, is now generally available and has a no-cost trial. 

As part of the event, Google also announced new models in Vertex AI, their suite of APIs for foundational models. You can now access Llama 2 and Code Llama from Meta using Vertex AI—and Claude 2 is coming soon. Also mentioned, there is a new digital watermarking functionality for Imagen, Google’s image generation technology. This is powered by Google DeepMind’s SynthID and could give us a preview of how we’ll be accurately identifying AI-generated images and text in the future.

OpenAI disputes authors’ claims that every ChatGPT response is a derivative work

OpenAI has finally broken its silence after being sued by a number of authors, all of whom allege that ChatGPT was illegally trained on their work without permission. OpenAI is looking to dismiss the lawsuits, saying: "the use of copyrighted materials by innovators in transformative ways does not violate copyright." 

Unlike plagiarists who seek to directly profit off distributing copyrighted materials, OpenAI argued that its goal was "to teach its models to derive the rules underlying human language" to do things like help people "save time at work," "make daily life easier," or simply entertain themselves by typing prompts into ChatGPT. Citing a notable copyright case involving Google Books, OpenAI also reminded the court that "while an author may register a copyright in her book, the 'statistical information' pertaining to 'word frequencies, syntactic patterns, and thematic markers' in that book are beyond the scope of copyright protection."

Enjoy the episode! It was a busy week in the world of AI!

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Pirated books are powering generative AI

The Atlantic just released a major investigative journalism piece that proves popular large language models, like Meta’s LLaMA, have been using pirated books to train their models—a fact that was previously alleged by multiple authors in multiple lawsuits against AI companies.

The article states, “Upwards of 170,000 books, the majority published in the past 20 years, are in LLaMA’s training data. . . . These books are part of a dataset called “Books3,” and its use has not been limited to LLaMA. Books3 was also used to train Bloomberg’s BloombergGPT, EleutherAI’s GPT-J—a popular open-source model—and likely other generative-AI programs now embedded in websites across the internet.”

According to an interview in the story with the creator of the Books3 dataset of pirated books, it appears Books3 was created with altruistic intentions. Reisner interviewed the independent developer of Books3, Shawn Presser, who said he created the dataset to give independent developers “OpenAI-grade training data,” in fear of large AI companies having a monopoly over generative AI tools.

The 2023 State of Marketing AI Report findings

Marketing AI Institute, in partnership with Drift, just released our third-annual State of Marketing AI Report. The 2023 State of Marketing AI Report contains responses from 900+ marketers on AI understanding, usage, and adoption. In it, we’ve got tons of insights on how marketers understand, use, and buy AI technology, the top outcomes marketers want from AI, the top barriers they face when adopting AI, how the industry feels about AI's impact on jobs and society, who owns AI within companies, and much more. Paul and Mike talk about some of the most interesting findings from the data.

You can now fine-tune GPT-3.5 Turbo

OpenAI just announced a big update: You can now fine-tune GPT-3.5 Turbo to your own use cases. This means you can customize the base GPT-3.5 Turbo model to your own needs, so they perform much better on use cases that may be custom to your organization’s specific needs. For instance, you might fine-tune GPT-3.5 Turbo to better understand text that’s highly specific to your industry or business. You might also fine-tune models to sound more like your brand in their outputs or remember specific examples or preferences when producing outputs, so you don’t have to spend resources and bandwidth on highly complex prompts every time you use a model. Notably, OpenAI says: “Early tests have shown a fine-tuned version of GPT-3.5 Turbo can match, or even outperform, base GPT-4-level capabilities on certain narrow tasks.” They also note fine-tuning for GPT-4 will be coming this fall.

Plus…the rapid-fire topics this week are interesting, so stick around for the full episode.

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AI is going to eliminate way more jobs than anyone realizes

AI is going to eliminate way more jobs than anyone realizes, according to a new in-depth article from Business Insider. The publication says AI could disrupt over 300 million jobs worldwide but also add trillions in value to the economy. The article dives into a number of data points that support this conclusion from various sources, including the fact that non-generative and generative AI is estimated to add between $17 trillion and $26 trillion to the global economy. While it’s very hard for economists and technologists to predict exactly what happens next, the article does a solid job of curating the current thinking from some of the top minds and institutions—including AI’s impact on employment and career skills.

AI’s exciting and uncertain impact on schools

Kids are in full swing going back to school here in the U.S., but there are equal parts excitement and uncertainty as schools everywhere try to grapple with the chaos and opportunity provided by AI tools like ChatGPT. We’re seeing more schools release policies or guidance on the use of AI in the classroom, but those policies and guidelines are often different in tone and content. Some schools are cracking down on AI use in the classroom, and restricting how students are able to use it. Others appear to be taking a positive view of the technology, attempting to guide students and educators on how to make the most of AI tools in a sensible way. Given how important the topics are, and how much uncertainty there is around these policies, we wanted to explore them more in-depth given how quickly AI has upended education as usual.

New York Times considers legal action against OpenAI as copyright tensions swirl

The New York Times is exploring suing OpenAI over using its articles to train AI models like ChatGPT without permission, according to reporting from NPR, setting up a potential major copyright battle over generative AI. The Times is concerned ChatGPT competes with it by answering questions using the paper's original reporting. If AI tools replace visiting news sites, it threatens the Times' business. The Times is also concerned about how OpenAI’s systems get information by scraping the internet, and potentially copyrighted material, to train models. The Times and OpenAI have been discussing a licensing agreement for the Times’ content, but NPR seems to indicate this has gone so poorly the Times is now considering legal action.

And, unsurprisingly, there’s a lot more covered.

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It’s been another interesting week in the world of AI…with a few things we need to keep our eyes on. Paul and Mike break it all down—and then some—on this week’s episode of The Marketing AI Show.

Anthropic CEO joins the Dwarkesh podcast to talk about the future of AI.

Dario Amodei, CEO and co-founder of Anthropic (maker of the Claude 2 large language model released in July of this year), just gave a wide-ranging interview on the future of AI. The interview took place on a recent episode of the Dwarkesh Podcast (linked in the show notes). It’s a must-listen, primarily because these types of interviews aren’t all that common. Due to considerations around competition and security, the heads of major AI outfits don’t always share in-depth their views on the industry and where it’s going. Not to mention, Amodei himself has a relatively small footprint online, so hearing from him is even less common. We’d encourage you to listen to the entire episode, but on our podcast, Paul and Mike call out some big highlights that have us thinking a little differently about the future of AI.

Red-teaming at DEF CON finding flaws and exploits in chatbots

If you aren’t familiar with “red-teaming,” it’s a critical aspect of making generative AI models that are as safe and aligned as possible. For example, GPT-4 was red-teamed for 6 months before its release in March 2023. This week, top hackers from around the world have converged at DEF CON in Vegas to find flaws and exploits in the latest chatbots from OpenAI, Google, Anthropic, and Stability. The teams working on red teaming often find these exploits by trying to “break” these systems in novel ways and by imagining creative, though nefarious, ways in which AI tools can be misused. The Washington Post shares examples of red-teaming: “AI red teams are studying a variety of potential exploits, including “prompt attacks” that override a language model’s built-in instructions and “data poisoning” campaigns that manipulate the model’s training data to change its outputs.” The results of the competition will be kept under wraps for a few months, so companies have time to address any issues highlighted by the red teaming efforts.

Award-winning author finds AI-generated books written in her name

Author Jane Friedman, who has written multiple books and was named a “Publishing Commentator of the Year” for her work in the publishing industry, woke up to a nightmare this week. A reader emailed her about her new book which just hit Amazon. The nightmare wasn’t due to getting a terrible review from a reader, it was due to the fact Friedman hadn’t written a new book at all. Friedman quickly discovered that half a dozen books had been published under her name that she didn’t write—and the books were AI-generated. The fake titles have since been removed from Amazon, but not before Friedman met resistance from the company. Paul and Mike explain the situation…and the implications.

There are rapid-fire topics to be discussed, including Zoom backtracking since last week’s episode, and much, much more. Tune in!

Huge updates for ChatGPT are announced

OpenAI just announced huge updates for ChatGPT that hold the potential to transform how we use this popular AI tool. The updates include a number of things including: Prompt examples: At the beginning of a new chat, you’ll now see examples to help you get started; Suggested replies: ChatGPT now suggests relevant ways to continue your conversation; GPT-4 by default: When starting a new chat as a Plus user, ChatGPT will remember your previously selected model — no more defaulting back to GPT-3.5; Upload multiple files: You can now ask ChatGPT to analyze data and generate insights across multiple files. This is available with the Code Interpreter beta for all Plus users; Stay logged in: You’ll no longer be logged out every 2 weeks; Keyboard shortcuts: Work faster with shortcuts, like ⌘ (Ctrl) + Shift + ; to copy last code block. Try ⌘ (Ctrl) + / to see the complete list.

Also, missing from the update announcement but spotted by entrepreneur Neal Khosla on Twitter (and confirmed by Marketing AI Institute) it looks like the cap on messages in GPT-4 (within ChatGPT Plus) has gone away. 

A new, autonomous AI agent debuts from OthersideAI

Matt Shumer, the CEO of OthersideAI, maker of the popular AI writing tool Hyperwrite, just debuted an AI system called “Agent-1,” a breakthrough model that can operate software like a human. Agent-1 will power the company’s Personal Assistant product, which lets you give AI commands that it can then execute autonomously using your web browser. In a demo video posted to Twitter, Shumer showed Agent-1 controlling a Google Cloud dashboard on its own.

Other demo videos of Personal Assistant have shown the tool autonomously planning travel for a user and drafting and sending an email to team members on its own based on a simple command given by the user. 

A vertical-specific LLM launches - and is a good example of what’s possible

Writer, a leading AI software tool and friend of Marketing AI Institute, has released a large language model designed specifically for use in healthcare. The model is called Palmyra-Med, and Writer says it has outperformed both GPT-4 and medically trained human test-takers on PubMedQA, the leading benchmark for biomedical question answering.

Unlike a generic model like GPT-4, which knows a little bit about a lot of things and, as such, can be used for a wide variety of tasks, Palmyra-Med is specifically trained on publicly available sets of medical data. Writer clearly hopes to make generative AI much more accessible to healthcare organizations. Historically, adoption in healthcare of LLMs has been limited, given healthcare organizations’ needs for specific medical accuracy from AI tools and robust security and compliance features that many AI systems lack. How will this change AI in an industry like healthcare?

There are many more topics to be discussed, including McKinsey’s annual report, and a peek inside what’s happening over at Zoom.

That’s a wrap on MAICON 2023, and Paul and Mike break down some common themes, key takeaways, thoughts on what’s next, and much, much more. And while our annual Marketing AI Conference was top of mind the most, a story on Sam Altman and more news on generative AI’s impact on jobs were two topics that needed to be covered.

A recap of MAICON 2023

In case you’ve missed it, it’s been a huge week here at Marketing AI Institute as we just wrapped up our 2023 Marketing AI Conference (MAICON) last Friday. This event was our biggest yet by far, with 700+ amazing marketers and business leaders coming together in Cleveland (our home base) to share, collaborate, learn, and grow together. We had a spectacular lineup of speakers, 2+ days of incredible content, and world-class conversations and connections between some of the top professionals in AI, marketing, and business. Paul and Mike talked through some of the highlights. Whether you attended or weren’t able to make it, we hope this portion of the podcast creates some value for you and helps you learn more about this unique event in our industry.

The Atlantic posts an interesting story on Sam Altman

The Atlantic just published one of the most comprehensive deep dives into OpenAI—its history, where it stands today, and where it’s going. And this article was informed by several in-depth interviews with CEO and co-founder Sam Altman. Titled “Does Sam Altman Know What He’s Creating?”, the article looks at how OpenAI went from near-failure trying to develop rudimentary AI models to GPT-4, which Altman described to the reporter as an “alien intelligence.” This article is long but well worth reading in full. The link is below. There’s too much to summarize in this short paragraph, so be sure to tune in. You won’t regret it! 

Generative AI and another look at the future of work

Will AI take your job? According to some new research from McKinsey, it’s complicated. McKinsey just released a report called “Generative AI and the future of work in America.” In this report, they attempt to forecast AI’s impact on employment in the U.S. Overall, McKinsey said that employment changes caused by AI that they’ve been tracking in earlier research “are happening even faster and on an even bigger scale than expected.”

Some of the research’s key findings include:

• By 2030, activities that account for up to 30 percent of hours currently worked across the US economy could be automated—a trend accelerated by generative AI. 
• Generative AI could enhance the way STEM, creative, and business and legal professionals work rather than eliminating a significant number of jobs outright. 
• Automation’s biggest effects are likely to hit other job categories, which include office support, customer service, and food service employment.
• An additional 12 million occupational transitions may be needed by 2030. As people leave shrinking occupations, the economy could reweight toward higher-wage jobs. Workers in lower-wage jobs are up to 14 times more likely to need to change occupations than those in highest-wage positions, and most will need additional skills to do so successfully. Women are 1.5 times more likely to need to move into new occupations than men.
• The United States will need workforce development on a far larger scale as well as more expansive hiring approaches from employers. Employers will need to hire for skills and competencies rather than credentials, recruit from overlooked populations (such as rural workers and people with disabilities), and deliver training that keeps pace with their evolving needs.

There’s plenty more data in this research that is worth checking out, and this is a segment in the podcast worth listening to.

With MAICON 2023 just around the corner, Paul Roetzer and Mike Kaput break down very different directions of AI this week. From incredible to dumb, from thorough to questionable, there’s lots to break down.

Meta’s incredible new (free!) ChatGPT competitor is here

Meta’s latest announcement has big implications for the world of AI. The company announced that its new, powerful large language model, LLaMA 2, will be available free of charge for research and commercial use. The model is “open source,” which means anyone can copy it, build on top of it, remix it, and use it however they see fit. This puts an extremely powerful large language model into anyone’s hands—and gives them the appropriate permissions to build products with it.

But that’s not all. It signals a major strategic direction that Meta is taking to compete with other AI companies—one that could have an effect on AI safety. Some major AI players place serious restrictions on the use and release of their models, often due to concerns about how models might be misused if they’re put in the wrong hands without guardrails. Meta is taking the opposite approach, believing that getting the technology into anyone and everyone’s hands will make the technology better much faster—and more quickly help Meta reveal and address issues that contribute to safety, like the use of the model to produce misinformation or toxic content. Will this new approach be successful? 

Elon Musk changes Twitter to X

Musk is in this news again. As of the morning of the podcast recording (July 24, 2023), he has formally rebranded Twitter as X. The platform formerly known as Twitter hasn’t changed much aside from its logo, but it seems like Musk and leadership are viewing it as just one piece of a much larger entity. 

In a somewhat cryptic set of tweets, CEO Linda Yaccarino said: “X is the future state of unlimited interactivity – centered in audio, video, messaging, payments/banking – creating a global marketplace for ideas, goods, services, and opportunities. Powered by AI, X will connect us all in ways we’re just beginning to imagine.” In the past couple weeks, Musk has also announced xAI, his new company dedicated to building “good” artificial general intelligence and competing with OpenAI, among others. Time will tell what this means for the future of the brand.

Meta, Google, and OpenAI Make AI Responsibility Promises to the White House

Seven major AI companies—Amazon, Anthropic, Google, Inflection, Meta, Microsoft, and OpenAI—have all agreed to safety commitments proposed by the White House.

The commitments include promises to engage in “security testing” carried out by independent experts, using digital watermarking to identify AI-generated vs. human-generated content, testing for bias and discrimination in AI systems, and several other safety-related actions.

It should be noted these are simply voluntary commitments publicly announced by the companies and the White House, not any type of formal regulation or legislation. We discuss this on this week’s episode and will keep our eyes on this for you.

Tune into the last pre-MAICON 2023 episode! We’ll be back next week with more news, more insights, and lots of MAICON takeaways to share with you all.

AI-Powered Content Strategy

In exciting news, this podcast, The Marketing AI Show, recently surpassed 100,000 downloads. That’s exciting and a huge milestone for us, but the story is the content strategy…and AI’s role in it. Prior to October 2022, the podcast format was interview-style, where Paul was vetting experts, scheduling interviews, and more, causing inconsistency. This led to the podcast being an afterthought in the marketing strategy. Then in October, we put the weekly podcast at the center of our content strategy. 

Today, each episode averages more than 4,500 downloads. To put that in perspective, we had 4,800 downloads the entire year of 2022! Plus, we’ve heard from listeners all over the world about how the podcast has impacted them, and how they’ve come to rely on it for their weekly AI news. In this podcast episode, we’re going to talk a bit about how the podcast became key to our content strategy and how AI makes it possible to efficiently produce high-quality episodes that perform.

Claude 2 from Anthropic

Major AI company Anthropic just announced the release of Claude 2, its new foundational AI model. Similar to ChatGPT, you can engage with Claude 1 and now Claude 2 through natural language prompts to perform a range of functions, like generating text, answering questions, and producing code. Claude 2 has improved reasoning from Claude 1, and even scores above the 90th percentile on the GRE reading and writing exam. Some of the changes are impressive, including most notably, the number of tokens you can input into Claude 2 is massive. You can input up to 100,000 tokens into a single prompt, which, says Anthropic, “means that Claude can work over hundreds of pages of technical documentation or even a book.” Is 100,000 a lot? Yes…The Great Gatsby would be about 72,000 tokens! There are also so many other great benefits and enhancements. Paul and Mike break them down in the 2nd story of the podcast. 

Major Google Bard updates

Google just announced a ton of new features for Bard, its ChatGPT-like conversational agent. Bard is now available in 40 languages and many more countries than before, including the European Union. Some of the other major updates include changing the tone and style of Bard's responses to five different options, you can drop images into it and have Bard perform a range of tasks related to the image, you can share Bard’s responses with others via shareable links, and more. Tune in to the podcast to hear more of the updates both from a functionality as well as a UX standpoint. 

We cover a lot of ground this week, and per usual, it was another big week in AI news stories, so be sure to tune in!

As generative AI continues to improve, iterate, and integrate, there are news stories to discuss and advancements to break down. That’s why we’re happy Paul Roetzer and Mike Kaput are back for episode 54 of The Marketing AI Show.

ChatGPT Code Interpreter available for all

OpenAI announced on July 6 that ChatGPT’s Code Interpreter feature will be made available to all ChatGPT Plus users. Previously, only select users received access after signing up for a waitlist. Code Interpreter gives ChatGPT the ability to run code, use files you upload to produce outputs, analyze data, create charts, and perform sophisticated math. This gives ChatGPT the ability to do all sorts of data analysis and code-dependent tasks it couldn’t do well before. People are already using Code Interpreter in interesting ways including customer segmentation, data visualization, and data analysis. 

The misuse of AI in content and media

A handful of stories in the past several weeks are shedding light on the dangers and misuse of AI in content and media. A report from misinformation tracking site NewsGuard shows that content farms using AI to generate hundreds of low-quality articles a day are raking in programmatic ad dollars—and hundreds of brands are unwittingly supporting them. And otherwise legitimate media sites are following their lead. Tech site Gizmodo recently started publishing AI-generated content and the results were problematic. One article on Star Wars movies was riddled with inaccuracies and prompted an outcry from Gizmodo staff, who said these types of stories were “actively hurting our reputations and credibility” and showed “zero respect” for journalists. Last, but certainly not least, news came out of a leaked email from German tabloid Bild detailing how the publication plans to replace over a hundred jobs with AI. 

Investors are betting on generative AI. Why and how?

Research recently published by McKinsey estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion of annual value to the global economy. The firm estimates that about 75% of this value will accrue through four use cases: customer operations, marketing and sales, software engineering, and R&D.The impact will be felt across all industries and sectors, but McKinsey specifically points out that banking, high-tech, and life sciences could see the largest impact. The full research report is well worth a read. But the larger point here is that the possible market impact of generative AI is massive. And investors are clearly responding to that, having just written some huge checks to leading generative AI companies.

One big example: Inflection AI announced it raised $1.3 billion in a fresh fundraising round led by Microsoft, LinkedIn founder Reid Hoffman, Bill Gates, and NVIDIA.Inflection AI has been around just over a year and, in that time, the company has built one of the world’s most sophisticated large language models, which powers Pi, its personal AI assistant product. The company is also the “largest AI cluster in the world comprising 22,000 NVIDIA H100 Tensor Core GPUs.” It’s also important to note that Inflection AI’s CEO and co-founder Mustafa Suleyman also co-founded DeepMind, which was acquired by Google and forms the backbone of their AI work.

Another example: At the same time, Runway, which builds generative AI tools for creators, announced a $141 million extension to its Series C funding round from companies like Google, NVIDIA, and Salesforce Ventures.

The band is back together! After Episode 51’s Year (so far) in Review and Episode 52’s Top AI Questions episodes, Paul Roetzer and Mike Kaput are back to the podcast format you’re used to. Well, sort of. Because there’s a bit of news to catch up on, many topics that took place over the past few weeks were covered in this episode. We hope you enjoy it!

Salesforce Unveils AI Cloud Offering

Salesforce just launched “AI Cloud,” which gives enterprises the ability to safely use enterprise-ready AI. AI Cloud is a platform that hosts the company's AI-powered products, such as Einstein, Slack, and Tableau, as well as large-language models from other providers like Amazon Web Services. The firm aims to cater to enterprises by ensuring data privacy and preventing AI models from retaining sensitive customer information. According to Reuters, Salesforce says the AI Cloud “starter pack” will be available for $360,000 annually, the company said. 

The U.S. Senate Gets Up to Speed on AI 

Senate Majority Leader Chuck Schumer announced a series of educational sessions on artificial intelligence for senators as Congress explores potential regulations for the technology. The first session, led by MIT professor and machine learning expert Antonio Torralba, aims to provide a general overview of AI and its current capabilities. The initiative underscores the importance of lawmakers understanding AI, its implications, and its challenges in order to create legislation that both fosters its potential for human prosperity and mitigates its risks. This seems like a positive step forward, but is it surprising that the Senate is only just now starting to educate its members on AI’s basics?

In addition, President Biden and his advisors have been leveraging AI technology, such as OpenAI's ChatGPT, and have moved AI from a peripheral concern to a central priority in policy development, recognizing its potential for both tremendous benefits and risks. The White House is acting with urgency to establish a regulatory framework for AI through executive orders and new policies, aiming to maximize positive impact and mitigate unintended consequences, with a focus on areas such as cybersecurity, consumer protection, and economic transformation.

Hyperwrite’s Matt Shumer announces GPT Author

What if we told you AI can now write entire novels in minutes based on an initial text prompt? Matt Shumer, co-founder and CEO of OthersideAI, which makes the AI writing tool, HyperWrite, recently announced an open-source project called GPT Author. The project strings together a chain of AI systems to write an entire book for you in minutes, complete with cover art and easy export to the Kindle store—all based on a description of the high-level details you want to see in your novel. Tune in for his experience and Paul’s reaction.

This summary only scratches the surface of the topics covered, so be sure to tune in! The Marketing AI Show can be found on your favorite podcast player and be sure to explore the links on our website: www.marketingaiinstitute.com.

After 26 Intro to AI classes since November 2021, we’ve seen quite the gamut of questions from our attendees. So far in 2023, we’ve hosted seven classes, with a collective 147 questions asked. We wanted to take this week’s podcast episode and run through the most commonly asked questions–and answers. We hope you enjoy this episode, and join us for our next Intro to AI for Marketers class on June 28!

00:07:03 — How do you define "generative" in the context of AI, and how might it be applied in various marketing disciplines, such as marketing, design, or podcasting?

00:08:07 — How can marketers balance the integration of AI in their strategies while maintaining the human touch and creativity in their campaigns? How will the role of human creativity evolve within this AI-driven landscape?

00:11:14 — As AI continues to improve, how can writers maintain their value in a world where AI is getting better at creating flowing and creative content?

00:13:13 — Given the rapid pace of change in marketing technology, what advice would you offer to businesses trying to navigate the influx of AI tools in the market, and how can they build a coherent tech stack?

00:16:01 — As more and more AI-based companies emerge, how can marketers discern which ones to invest in for their company's specific needs?

00:19:09 — How can the marketing department work collaboratively with IT/AI/technology teams to leverage AI capabilities? 

00:20:48 — Do marketers need to be concerned with plagiarism when using AI writing tools? Do AI writing detection tools work?  

00:25:43 — How can someone verify the content generated by AI? 

00:28:33 — Can AI replace or supplement roles like graphic designers? And how accessible are these AI tools for non-designers to create their own visuals? 

00:30:08 — What are the potential impacts and opportunities for agencies as AI technology advances? How can they adapt today to ensure they aren't left behind?

00:32:56 — In terms of language capabilities, how far have AI tools come, and what can expect moving forward?

00:36:01 — Given the rise of privacy concerns with AI tools, what guidelines should companies follow while using AI models like ChatGPT?

00:38:06 — How can companies ensure they comply with copyright regulations when generating images with AI? How do you envision the evolution of copyright legislation in the context of large language model AI? How should companies handle their proprietary data?

00:44:13 —I want to get started TODAY. What are some steps I should take immediately to learn or to identify ways I should get started? 

00:47:03 — As we move toward an increasingly AI-driven world, what are your thoughts on the future role of humans? What advice would you give to those who might feel threatened by the rise of AI?

Learn more about us at www.marketingaiinstitute.com. You'll find webinars, reports, blueprints, research, and more.

This week’s episode features Paul Roetzer giving a quick year-in-review. It’s been a busy six months, and Paul references some of the top stories and developments of 2023.

Hear more, and visit our website for links, YouTube videos, and more. (www.marketingaiinstitute.com)

00:05:08 Jan. 16: ChatGPT Disrupts Education

00:05:53 Jan. 17: Getty Images Announces That It Has Commenced Legal Proceedings Against Stability AI;

00:08:05 Jan. 28: Marketing AI Institute’s Responsible AI Manifesto

00:11:51 Feb. 1: UBS Announces That ChatGPT Hit 100M Users in January

00:12:33 Feb. 6: Google Bard Is Announced

00:14:13 Feb. 7: Microsoft Announces AI-Powered Bing and Edge

00:14:53 Feb. 24: Meta Publicly Releases LLaMA Under a Noncommercial License Focused on Research Use Cases

00:17:44 Mar. 2: Marketing AI Institute’s Law of Uneven AI Distribution

00:20:24 Mar. 6: HubSpot Releases ChatSpot in Public Alpha (and Content Assistant in Private Beta)

00:22:19 Mar. 7: Salesforce Announces Einstein GPT in Closed Pilot

00:23:36 Mar. 14: GPT-4 Is Announced

00:25:02 Mar. 14: Google Announces PaLM and Expanded AI Features in Google Workspaces

00:27:04 Mar. 14: Anthropic Announces Claude

00:29:03 Mar. 16: U.S. Copyright Office Releases Generative AI Guidance

00:30:48 Mar. 16: Microsoft Introduces Microsoft 365 Copilot

00:32:55 Mar. 20: Runway Announces Gen-2

00:34:34 Mar. 21: Adobe Announces Firefly Generative AI Capabilities

00:36:25 Mar. 22: AI Experts Release Open Letter to Pause AI Development

00:38:46 Mar. 23: OpenAI Announces ChatGPT Plugins

00:40:05 Mar. 30: Release of AutoGPT

00:42:24 Mar 31: Italy Bans ChatGPT

00:43:28 Apr. 13: Amazon Announces Generative AI in AWS

00:44:55 Apr. 19: Marketing AI Institute Statement on Knowledge Work

00:47:02 May 1: Geoff Hinton Announces He Has Quit Job at Google Over Safety Concerns

00:49:35 May 10: Google Announces Generative Search Experience

00:50:35 May 16: Sam Altman Testifies Before Congress

00:52:40 May 30: AI Poses “Risk of Extinction” According to AI Leaders

00:54:06 June 5: Apple announces Vision Pro

00:55:51 Jun 7: DeepMind Announces AlphaDev Breakthrough in Sorting Algorithms

00:59:02 June 8: Cohere announces $270M Series C

Thanks for joining us for episode 50! While AI breakthroughs slowed down this week, insights, best practices, and conversations continued. Paul Roetzer and Mike Kaput catch up on the artificial intelligence news impacting marketing and business leaders.

OpenAI dropped chat prompt suggestions

Logan Kilpatrick from OpenAI gave us helpful tips on crafting prompts. Quite simply (or so it seems), Kilpatrick offers six strategies for getting better results: write clear instructions, provide reference text, split complex tasks into simpler subtasks, give GPTs time to "think", use external tools, and test changes systematically. Is it that easy? What has OpenAI learned, and how can marketers follow these strategies while still differentiating themselves? 

Could generative AI transform healthcare? 

Could generative AI transform healthcare for the better? One expert thinks so. Dr. Robert M. Wachter, professor, and chair of the Department of Medicine at the University of California, San Francisco, outlines why in a new essay commissioned by Microsoft. In it, Dr. Wachter says he’s optimistic that generative AI systems like GPT-4 have the potential to reshape how healthcare works. This article caught Paul’s attention, and Paul and Mike break it down on the podcast, discussing not only marketing but also better patient outcomes and a reduction in healthcare costs. 

High costs and AI adoption

According to a new report from The Information: “More than 600 of Microsoft’s largest customers, including Bank of America, Walmart, Ford, and Accenture, have been testing the AI features in its Microsoft Office 365 productivity apps, and at least 100 of the customers are paying a flat fee of $100,000 for up to 1,000 users for one year, according to a person with direct knowledge of the pilot program.” The proposed pricing models for AI features will impact business leaders' decision-making regarding AI adoption, especially small businesses.

This helpful episode of The Marketing AI Show can be found on your favorite podcast player and be sure to explore the links below.

Google Introduces AI-Powered Ads

Google just announced new AI features within Google Ads, from landing page summarizations to generative AI helping with relevant and effective keywords, headlines, descriptions, images, and other assets for your campaign.

Microsoft Rolls Out AI Copilots and AI Plugins

Two years ago, Microsoft rolled out its first AI “copilot,” and this year, Microsoft introduced other copilots across core products and services, including AI-powered chat in Bing, Microsoft 365 Copilot, and others across products like Microsoft Dynamics and Microsoft Security.

Cities and Schools Embrace Generative AI

We see some very encouraging action from schools and cities regarding generative AI. According to Wired, New York City Schools have announced they will reverse their ban on ChatGPT and generative AI. Additionally, the City of Boston's chief information officer sent guidelines to every city official encouraging them to start using generative AI to understand its potential.

AI Resources from Andreessen Horowitz

Andreessen Horowitz recently shared a curated list of resources, their “AI Canon,” they’ve relied on to get smarter about modern AI. It includes papers, blog posts, courses, and guides that have had an outsized impact on the field over the past several years.

DeepMind’s AI Risk Early Warning System

In DeepMind’s latest paper, they introduce a framework for evaluating novel threats–misleading statements, biased decisions, or repeating copyrighted content–co-authored with colleagues from a number of universities and organizations.

OpenAI’s Thoughts on the Governance of Superintelligence

Sam Altman, Greg Brockman, and Ilya Sutskever recently published their thoughts on the governance of superintelligence. They say that proactivity and mitigating risk are critical, alongside special treatment and coordination of superintelligence. 

White House Takes New Steps to Advance Responsible AI

Last week, the Biden-Harris Administration announced new efforts that “will advance the research, development, and deployment of responsible artificial intelligence (AI) that protects individuals’ rights and safety and delivers results for the American people.” This includes an updated roadmap and a new report on the risks and opportunities related to AI in education.

Fake Image of Pentagon Explosion Causes Dip in the Stock Market

A fake image purporting to show an explosion near the Pentagon was shared by multiple verified Twitter accounts on Monday, causing confusion and leading to a brief dip in the stock market. Based on the actions and reactions of the day, are we unprepared for this technology?

Meta’s Massively Multilingual Speech Project

Meta announces their Massively Multilingual Speech (MMS) project, combining self-supervised learning, a new dataset that provides labeled data for over 1,100 languages and unlabeled data for nearly 4,000 languages, as well as publicly sharing models and code so that others in the research community can build upon Meta’s work.

More Funding Rounds

Anthropic raised $450 million in Series C funding. Figure Raises $70M Series A to accelerate robot development, fund manufacturing, design an end-to-end AI data engine, and drive commercial progress. OpenAI CEO Sam Altman has raised $115 million in a Series C funding round for Worldcoin which aims to distribute a crypto token to people "just for being a unique individual."

NVIDIA Stock Soars on historic earnings report

Nvidia’s stock blew past already-high expectations last Wednesday in its earnings report. Dependency on Nvidia is so widespread that Big Tech companies have been working on developing their own competing chips, much like Apple spent years developing its own chips so it could avoid having to rely on — and pay — other companies to outfit its devices.

AI came to Washington in a big way. OpenAI CEO Sam Altman appeared before Congress for his first-ever testimony, speaking at a hearing called by Senators Richard Blumenthal and Josh Hawley. The topic? How to oversee and establish safeguards for artificial intelligence.

The hearing lasted nearly three hours and focused largely on Altman, though Christina Montgomery, an IBM executive, and Gary Marcus, a leading AI expert, academic, and entrepreneur, also testified. During the hearing, Altman covered a wide range of topics, including a discussion of different risks posed by generative AI, what should be done to address those risks, and how companies should develop AI technology. Altman even suggested that AI companies be regulated, possibly through the creation of one or more federal agencies and/or some type of licensing requirement.

The hearing was divisive. Some experts applauded what they saw as much-needed urgency from the federal government to tackle important AI safety issues. Others criticized the hearing for being far too friendly, citing worries that companies like OpenAI are angling to have undue influence over the regulatory and legislative process.

An important note: This hearing appeared to be informational in nature. It was not called because OpenAI is in trouble. And it appears to be the first of many such hearings and committee meetings on AI that will happen moving forward.

In this episode, Paul and Mike tackled the hearing from three different angles as our three main topics today, as well as talked about a series of lower-profile government meetings that occurred.

First, they do a deep dive into what happened, what was discussed, and what it means for marketers and business leaders. 

Then they took a closer look at the biggest issues in AI safety that were discussed during the hearing and that the hearing is designed to address. At one point during the hearing, Altman said "My worst fear is we cause significant harm to the world.” Lawmakers and the AI experts at the hearing cited several AI safety risks they’re losing sleep over. Overarching concerns included election misinformation, job disruption, copyright and licensing, generally harmful or dangerous content, and the pace of change. 

Finally, Paul and Mike talked through the regulatory measures proposed during the hearing and what dangers there are, if any, of OpenAI or other AI companies tilting the regulatory process in their favor. Some tough questions were raised in the process. Senate Judiciary Chair Senator Dick Durbin suggested the need for a new agency to oversee the development of AI, and possibly an international agency.

Gary Marcus said there should be a safety review, similar to what is used with the FDA for drugs, to vet AI systems before they are deployed widely, advocating for what he called a “nimble monitoring agency.” On the subject of agencies, Senator Blumenthal cautioned that the agency or agencies must be well-resourced, with both money and the appropriate experts. Without those, he said, AI companies would “run circles around us.”

As expected, this discussion wasn’t without controversy. Tune in to this critically important episode of The Marketing AI Show. Find it on your favorite podcast player and be sure to explore the links below.

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Another week of big news from Google

Google just announced major AI updates, including an AI makeover of search. The updates were announced at Google’s I/O developers conference and some of the more important updates were discussed on the podcast. 

A new next-generation large language model called PaLM 2, “excels at advanced reasoning tasks, including code and math, classification and question answering, translation and multilingual proficiency better than our previous state-of-the-art LLMs.” Next, an AI makeover of search through Google’s “Search Generative Experience” will deliver conversational results to search queries. This will become available to users who sign up for Google’s Search Labs sandbox.

Additional improvements include new AI writing tools for Gmail, the removal of the waitlist for Bard, and the ability to create full documents, generate slides, and fill in spreadsheets across tools like Docs, Slides, and Sheets. 

What’s next for Claude

Anthropic, a major AI player and creator of the AI assistant “Claude,” just published research that could have a big impact on AI safety. In the research, the company outlines an approach they’re using “Constitutional AI,” or the act of giving a large language model “explicit values determined by a constitution, rather than values determined implicitly via large-scale human feedback.”

This concept is designed to address the limitations of large-scale human feedback, which traditionally determines the values and principles of AI behavior. It aims to enhance the transparency, safety, and usefulness of AI models while reducing the need for human intervention.

The constitution of an AI model consists of a set of principles that guide its outputs, and in Claude’s case, encourages the model to avoid toxic or discriminatory outputs, refrain from assisting in illegal or unethical activities, and aim to be helpful, honest, and harmless. Anthropic emphasizes that this living document is subject to revisions and improvements based on further research and feedback.

More on the economy and knowledge workers 

In a recent Brookings Institution article titled, Machines of Mind: The Case for an AI-powered Productivity, the authors explore the potential impact of AI, specifically large language models (LLMs), on the economy and knowledge workers.

The authors predict LLMs will have a massive impact on knowledge work in the near future. They say: “We expect millions of knowledge workers, ranging from doctors and lawyers to managers and salespeople to experience similar ground-breaking shifts in their productivity within a few years, if not sooner.”

The productivity gains from AI will be realized directly through output created per hour worked (i.e. increased efficiency), and indirectly through accelerated innovation that drives future productivity growth. The authors say they broadly agree with a recent Goldman Sachs estimate that AI could raise global GDP by a whopping 7%. But there’s more to it, so be sure to tune in.

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Hinton departs Google

Geoffrey Hinton, a pioneer of deep learning and a VP and engineering fellow at Google, has left the company after 10 years due to new fears he has about the technology he helped develop. 

Hinton says he wants to speak openly about his concerns, and that part of him now regrets his life’s work. He told MIT Technology Review: “I have suddenly switched my views on whether these things are going to be more intelligent than us. I think they’re very close to it now and they will be much more intelligent than us in the future. How do we survive that?”

He worries that extremely powerful AI will be misused by bad actors, especially in elections and war scenarios, to cause harm to humans. He’s also concerned that once AI is able to string together different tasks and actions (like we’re seeing with AutoGPT), intelligent machines could take harmful actions on their own.

This isn’t necessarily an attack on Google specifically. Hinton said that he has plenty of good things to say about the company. But he wants “to talk about AI safety issues without having to worry about how it interacts with Google’s business.”

“No Moats”

“We have no moat, and neither does OpenAI,” claims a leaked Google memo revealing that the company is concerned about losing the AI competition to open-source technology. The memo, led by a senior software engineer, states that while Google and OpenAI have been focused on each other, open-source projects have been solving major AI problems faster and more efficiently. 

The memo’s author says that Google's large AI models are no longer seen as an advantage, with open-source models being faster, more customizable, and more private. What do these new developments and rapid shifts mean? 

The exciting future of AI 

We talk about a lot of heavy AI topics on this podcast—and it’s easy to get concerned about the future or overwhelmed. But Paul recently published a LinkedIn post that’s getting much attention because it talks about what he’s most excited about AI. 

Paul wrote, “Someone recently asked me what excited me most about AI. I struggled to find an answer. I realized I spend so much time thinking about AI risks and fears (and answering questions about risks and fears), that I forget to appreciate all the potential for AI to do good. So, I wanted to highlight some things that give me hope for the future…” We won’t spoil it in this blog post, so tune in to the podcast to hear Paul’s thoughts. 

Listen to this week’s episode on your favorite podcast player and be sure to explore the links below for more thoughts and perspectives on these important topics.

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Big changes are coming to ChatGPT

OpenAI just announced two big updates to ChatGPT. The first is a soon-to-be-released subscription tier called ChatGPT Business. Designed for enterprises, the plan will follow OpenAI’s API data usage policies. That means user data won’t, by default, be used to train ChatGPT. The second is a feature that now allows ChatGPT users to turn off their chat history, which will prevent conversations from being used to train ChatGPT.

We got a startling preview of how AI is going to impact politics

In the U.S., the 2024 presidential election season kicked off with an attack ad generated 100% by artificial intelligence. The ad imagines a future dystopia where President Joe Biden remains in office after next year’s results. The images, voices, and video clips are stunningly real and were created with widely available AI tools. And they foreshadow an election season where AI can be used by all parties and actors to generate hyper-realistic synthetic content at scale.

At the same time, lawmakers in the U.S. and Europe signaled this week that they’re taking more aggressive action to regulate AI. In the U.S., four major federal agencies, including the Federal Trade Commission and the Department of Justice, released a joint statement on their stance toward AI companies. The agencies clarified that they would not treat AI companies differently from other firms when enforcing rules and regulations.

In Europe, the European Parliament has reached a deal to move forward on the world’s first “AI rulebook,” the Artificial Intelligence Act. This is a broad suite of regulations that will govern the use of AI within the European Union. These include safeguards against the misuse of these systems and rules that protect citizens from AI risks.

AI’s major impact on big tech companies

A recent round of tech earnings calls saw major companies like Microsoft, Google, and Meta displaying strong or better-than-expected results—and some of that growth was driven by AI.

In Microsoft’s case, Azure revenue was up 27% year-on-year and Microsoft said it was already generating new sales from its AI products.

Google was less specific about its AI plans but committed to incorporating generative AI into its products moving forward. Reports have surfaced that Meta is playing catch-up to retool its infrastructure for AI but still saw an unexpected increase in sales in the past quarter. 

At the same time, these companies face enormous pressure from shareholders to get leaner. Some have conducted layoffs already, with more expected to come. And they’re all relying on AI to capture efficiencies. We saw a stark example of this in practice with a recent announcement from Dropbox that they’re cutting staff by 16%, or 500 people. How should knowledge workers think about this? What steps should we be taking?

Today’s rapid-fire topics include Runway Gen-a for mobile, PwC invests $1 billion in generative AI, and AI and human empathy in healthcare, Replit’s funding round, and Hinton’s Google exit.

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New announcements, fast training with repercussions, and more are discussed in this week’s Marketing AI Show with Paul Roetzer and Mike Kaput. Read more, then tune in! 

Stunning results from ChatGPT plugins

The way we all work is about to change in major ways thanks to ChatGPT—and few are ready for how fast this is about to happen. In a new TED Talk, OpenAI co-founder and president Greg Brockman shows off the power and potential of the all-new ChatGPT plugins…and the results are stunning. Thanks to ChatGPT plugins, ChatGPT can now browse the internet and interact with third-party services and applications, resulting in AI agents that can take actions in the real world to help us with our work. In the talk, Brockman shows off how knowledge workers will soon work hand-in-hand with machines—and how this is going to start changing things months (or even weeks) from now, not years. Paul and Mike talk about capabilities that caught their eye, and what this means for the future of work.

Google just announced some huge AI updates

However, some within the company say Google is making ethical lapses in their rush to compete with OpenAI and others. There were three significant updates: Google announced that its AI research team, Brain, would merge with DeepMind, creating Google DeepMind.

It was also revealed that Google is working on a project titled “Magi.” It involves Google reinventing its core search engine from the ground up to be an AI-first product, as well as adding more AI features to search in the short term. Details are light at the moment, but the New York Times has confirmed some AI features will roll out in the US this year and that ads will remain a part of AI-powered search results.

Finally, Google announced Bard had been updated with new features to help you code. Bard can now generate code and help you debug code. As these updates rolled out, reporting from Bloomberg revealed that some Google employees think the company is making ethical lapses by rushing the development of AI tools, particularly around Bard and the accuracy of its responses.

What problems arise during training AI tools?

AI companies like OpenAI are coming under fire for how AI tools are trained, and social media channels are pushing back. Reddit, which is often scraped to train language models, just announced it would charge for API access, in order to stop AI companies from training models on Reddit data without compensation. Additionally, Twitter recently made a similar move. And Elon Musk publicly threatened to sue Microsoft for, he says, “illegally using Twitter data” to train models. Other companies are sure to follow suit.

An investigative report by the Washington Post recently found that large language models from Google and Meta trained on data from major websites like Wikipedia, The New York Times, and Kickstarter. The report raises concerns that models may be using data from certain sites improperly. In one example, the Post found models had trained on an ebook piracy site and likely did not have permission to use the data it trained on. Not to mention, the copyright symbol appeared more than 200 million times in the data set the Post studied.

And if that wasn’t enough, StableLM and AI Drake were discussed!

AI-driven automation is quickly becoming a fundamental part of businesses’ tech stacks, but there are also potential dangers associated with this technology.

Paul pointed out that AI-driven automation is quickly becoming a fundamental part of businesses’ tech stacks. "I feel like the large language model is going to be as fundamental to the tech stack as a CRM has been for the last ten to 15 years," he said.

Mike added that businesses should look for models that allow them to customize the model with their own data and integrate it into their own applications. "You want to tune these models on that data, whether it’s for internal external use cases, and you want to be highly confident in the privacy and security of that data and how these models work within your organization," he said.

AI technology is rapidly advancing and is capable of performing complex tasks autonomously with minimal human intervention.

Paul discussed AI technology and the need for safety and alignment when building these applications. "We're not going back, we're not going to just stop trying to build these action transformers," he said.

"But I really hope that the people that are building these things understand the potential ramifications of what they're building and do everything in their power internally and with their peers who are working on similar technology, to do everything possible, to do it in a responsible way, and to do it with safety, first and foremost."

Mike then discussed the impact of AI on labor, noting that AI tech has accelerated the ability of AI to perform knowledge work, including strategic and creative work.

AI is advancing quickly and is likely to significantly reduce the time it takes to complete knowledge tasks such as writing, design, coding, and planning.

Paul noted that AI-driven disruption of knowledge work is a very real possibility and that organizations and leaders should plan for significant job loss. He also pointed to a survey of almost 800 people, which showed that lack of education and training was the top obstacle to adoption.

"It’s coming; it’s going to intelligently automate large portions of your work," Roetzer said.

"Based on my own experiences in research as well as the context of dozens of conversations, it is reasonable to assume the time to complete most knowledge tasks such as writing, design, coding, planning, et cetera, can be reduced on average 20% to 30% at minimum with current generative AI technology. And the tech is getting faster and smarter at a compounding rate, so these percentages are only going to rise what it's capable of doing."

AI technology has the potential to create a wide range of new jobs and career paths.

Paul and Mike discussed the potential impacts of AI technology on the job market and the economy. Mike noted that "this is not just wild speculation," and Paul agreed, saying "I do believe it's going to create lots of new jobs and career paths we can't imagine."

He went on to explain that "the flaws and limitations of generative AI are greater than are being discussed in the media and will prevent mass disruption in the near term."

Paul also highlighted the importance of humans in the AI process, noting that "the dependence of the machine on the human to make sure it's accurate and safe and aligned with human values" is essential. He suggested creating "generative AI policies that explicitly say how you're using language tools, image generation tools, video generation tools, etc."

This episode is brought to you by BrandOps, built to optimize your marketing strategy, delivering the most complete view of marketing performance, allowing you to compare results to competitors and benchmarks.

One step forward, two steps back…or at least made with caution. Meta announces their Segment Anything Model, and in that same breath, we’re talking about ChatGPT and safety, as well as the limitations of being able to detect the usage of ChatGPT. Paul and Mike break it down:

Meta AI announces their Segment Anything Model

An article from Meta introduces their Segment Anything project, aiming to democratize image segmentation in computer vision. This project includes the Segment Anything Model (SAM) and the Segment Anything 1-Billion mask dataset (SA-1B), the largest segmentation dataset ever.

This has wide-ranging applications across different industries. Meta cites that it could do things like be incorporated into augmented reality glasses to instantly identify objects you’re looking at and prompt you with reminders and instructions related to an object.

In marketing and business specifically, Gizmodo calls the demo of SAM a Photoshop Magic Wand tool on steroids, and one of its reporters used it to do sophisticated image editing on the fly with ease by simply pointing and clicking to remove and adjust images.

Right now, the model is available only for non-commercial testing, but given the use cases, it could find its way into Meta’s platforms as a creative aid.

Paul and Mike discuss the opportunities for marketers and the business world at large.

Does ChatGPT have a safety problem?

Is OpenAI's April 5 statement on their website is a response to calls for increased AI safety, like the open letter signed by Elon Musk and others, and Italy’s full ban on ChatGPT?

A new article from WIRED breaks down why and how Italy’s ban could spur wider regulatory action across the European Union—and call into question the overall legality of AI tools. When banning ChatGPT, Italy’s data regulator cited several major problems with the tool. But, fundamentally, their reasoning for the ban hinged on GDPR, the European Union’s wide-ranging General Data Protection Regulation privacy law. 

Experts cited by WIRED said there are just two ways that OpenAI could have gotten that data legally under EU law. The first would be if they had gotten consent from each user affected, which they did not. The second would be arguing they have “legitimate interests” to use each user’s data in training their models. The experts cited say that the second one will be extremely difficult for OpenAI to prove to EU regulators. Italy’s data regulator has already been quoted by WIRED as saying this defense is “inadequate.”

This matters outside Italy because all EU countries are bound by GDPR. And data regulators in France, Germany, and Ireland have already contacted Italy’s regulator to get more info on their findings and actions.

This also isn’t just an OpenAI problem. Plenty of other major AI companies likely have trained their models in a way that violates GDPR. This is an interesting conversation and topic to keep our eyes on. With other countries follow suit?

Can we really detect the use of ChatGPT?

OpenAI, the maker of ChatGPT, just published what it’s calling “Our approach to AI safety,” an article outlining specific steps the company takes to make its AI systems safer, more aligned, and developed responsibly.

Some of the steps listed include delaying the general release of systems like GPT-4 to make sure they’re as safe and aligned as possible before being accessible to the public, protecting children by requiring people to be 18 or older, or 13 or older with parental approval, to use AI tools. They are also looking into options to verify users. They cite that GPT-4 is 82% less likely to respond to requests for disallowed content.

Listen for more. Why now? Are we confident they’re developing AI responsibly?

AI leaders say slow down, Italy blocks AI, the United Nations implements global framework. But, other leaders keep finding ways to integrate ChatGPT, and new companies are launched. This dichotomy makes for an interesting episode. Paul and Mike break it all down.

“The Letter’ heard round the world made waves - but what does it really mean?

In an open letter published by the nonprofit Future of Life Institute, a number of well-known AI researchers and tech figures, including Elon Musk and Steve Wozniak, have called on all AI labs to pause the development of large-scale AI systems for at least 6 months due to fears over the profound risks to society and humanity that they pose. 

The letter notes that AI labs are currently locked in an “out-of-control race” to develop and deploy machine learning systems that no one can understand, predict, or reliably control. 

The signatories call for a public and verifiable pause and for the development of shared safety protocols for advanced AI design and development.

What does it mean, will other countries follow suit, is it a PR play, and at this point, does it even matter? Are we thinking about misinformation and job loss the right way?

At the same time, moves are being made internationally: UNESCO (United Nations Educational, Scientific and Cultural Organization) is calling for the immediate implementation of its Recommendation on the Ethics of Artificial Intelligence, a global framework for the ethical use of AI. 

And, in a bold move, Italy has become the first Western country to block OpenAI's chatbot ChatGPT, citing privacy concerns. The Italian data protection authority said it would ban and investigate OpenAI with immediate effect, following a data breach involving user conversations and payment information. Will other countries follow suit? 

Prompt engineering - a job, a function, or a skill? 

Paul recently wrote about one possible future he’s seeing for prompt engineering on LinkedIn, saying: “How soon until we have a Prompt Copilot that helps users write far more effective and optimized generative AI prompts? Think of it as a prompting assistant that improves and expands your prompts as you type them.”

He also talked about how the quality of human user prompts is crucial for the effectiveness and value of generative AI software—and that companies are motivated to reduce the friction in their products and speed up time to value for all users. 

The development of a prompting assistant that helps users write more effective and optimized prompts using AI seems like an obvious and achievable innovation to solve this problem and could render prompting as a career path or human skill less important beyond 2023.

Will it become a must-know in any career path?

BloombergGPT is announced

Bloomberg has announced the development of a new large-scale generative AI model specifically trained on a wide range of financial data to support natural language processing tasks within the financial industry. 

The model, called BloombergGPT, represents the first step in the development of a domain-specific model to tackle the complexity and unique terminology of the financial domain. 

The new model will enable Bloomberg to improve existing financial NLP tasks such as sentiment analysis, named entity recognition, news classification, and question answering while bringing the full potential of AI to the financial domain.

On top of this, Seth Godin and David Sacks are using ChatGPT. What’s next?

Rapid-fire topics include the All-In podcast, a Redditor loses his love of his career because of AI, Replit teams up with Google Cloud, Sam Altman chats with Lex Fridman, Sam Altman launches Worldcoin, and more. 

Listen to this week’s episode on your favorite podcast player, and be sure to explore the links below for more thoughts and perspectives on these important topics.

GPT-4 is changing the game. Access is easier, outputs are better, and technologies connecting to it are increasing exponentially with the help of a new plugin system. What will the rest of this week bring us?

OpenAI launches a plugin system for ChatGPT

OpenAI just announced a plugin system for ChatGPT, enabling it to interact with the wider world through the internet. The plugins, developed by companies like Expedia, Instacart, and Slack, will allow users to perform a variety of tasks using these sites from right within ChatGPT. 

It’s not just companies wanting to embed AI into their sites. OpenAI itself is hosting three of the plugins: one that gives ChatGPT access to up-to-date information on the internet, a Python code interpreter, and a retrieval plugin that allows users to ask questions of documents, files, notes, emails, and public documentation.

Of particular note, one of the plugins available integrates with Zapier, which itself integrates with thousands of other tools. Right now, there’s a waitlist to access the plugins for developers and ChatGPT Plus users.

Did we just open a whole new world of AI use cases?

Artificial General Intelligence…one step closer 

"OpenAI’s mission is to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity.” We read this in episode 36 of The Marketing AI Show, just over a month ago.

Now, OpenAI is saying, "Our mission is to ensure that artificial general intelligence—AI systems that are generally smarter than humans—benefits all of humanity." A team of Microsoft AI scientists claims that GPT-4, the latest iteration of OpenAI's Large Language Model, exhibits "sparks" of human-level intelligence, or artificial general intelligence (AGI).

The researchers argue that GPT-4's impressive performance in a wide range of tasks, such as mathematics, coding, and even legal exams, indicates its potential as an early version of an AGI system. 

While some argue that AGI is a pipe dream, others believe that it could usher in a new era for humanity, and this research indicates GPT-4 might just be leading the way.

Are these thoughts and findings legit? How seriously should we take it?

It only took 30 minutes to market a product launch

Imagine leveraging the power of AI to complete a massive business project in just 30 minutes, accomplishing tasks that would take humans hours or even days. 

In a remarkable experiment from Wharton professor Ethan Mollick, a combination of AI tools was used to market the launch of an educational game, conduct market research, create an email campaign, design a website, and craft a social media campaign, among other tasks—in just 30 minutes.

The results demonstrated the unprecedented potential of AI as a multiplier of human effort, with vast implications for the future of work, productivity, and creativity. Over the course of half an hour, Mollick used no more than 20 inputs, actions, or prompts to generate 9,200 words of content, a working HTML/CSS file, 12 images, a voice file, and a movie file across a marketing positioning document, email campaign, website, logo, script and video, and social campaigns.

As he put it “AI would do all the work, I would just offer directions.”

Is this the new normal for marketers?

Listen to this week’s episode on your favorite podcast player, and be sure to explore the links below for more thoughts and perspectives on these important topics.

In what may have been the biggest week in marketing AI (to date), we have a lot to review in this week’s podcast, so let’s jump right in.

GPT-4 is released to the public

The week started with the much-anticipated release of GPT-4, the latest, most powerful version of OpenAI’s large language model. And it’s now is being integrated into existing products via API, as well as ChatGPT.

According to OpenAI, “GPT-4 can solve difficult problems with greater accuracy, thanks to its broader general knowledge and problem-solving abilities.” OpenAI says that GPT-4 surpasses ChatGPT in its reasoning capabilities. In fact, the new model was tested on the Uniform Bar Exam, where it scored in the 90th percentile compared to ChatGPT’s 10th percentile score. 

GPT-4 will be able to accept images as input;. OpenAI demoed one jaw-dropping example of the model being able to generate code for a webpage based on a hand-drawn sketch of what the webpage should look like. 

Has OpenAI veered too far away from its non-profit roots? Is a company with “open” in the name being as forthcoming as they should be? Paul and Mike discuss.

Microsoft and Google embed AI in their core products 

Google just announced that developers will now have access to its PaLM API, which gives them the ability to build on top of Google’s language models in Google Cloud. The company also announced generative AI features coming to Google Workspace, the firm’s productivity suite. That means you’ll soon see generative AI features in Gmail and Docs that draft copy on any given topic for you.

At the same time, Microsoft announced Microsoft 365 Copilot, an AI tool that is “your copilot for work.” According to the company, Copilot combines the power of large language models with your data in the Microsoft Graph and Microsoft 365 apps to increase productivity.

That happens in two ways, says Microsoft. First, Copilot works alongside you in popular apps like PowerPoint, Word, and Outlook to increase productivity. For instance, in Word, it can now generate drafts for you. In PowerPoint, you can use natural language prompts to create presentations. Copilot also enables a new feature called “Business Chat” that surfaces insights from data across your company and makes performing tasks easier. Our team watched the launch demo, and some instant applications came to mind.

The U.S. Copyright Office is getting involved…so make sure you’re not breaking any laws.

Warning: If you’re using generative AI tools to create content—articles, blog posts, books, images, software, songs, videos, etc—you do not own that content, according to the U.S. Copyright Office. That means anyone can reproduce it without your permission, create derivative works from it, display it, perform it, and sell it.

On Mar 16, 2023, the Copyright Office launched an initiative to examine the copyright law and policy issues raised by AI, including the scope of copyright in works generated using AI tools and the use of copyrighted materials in AI training.

“This initiative is in direct response to the recent striking advances in generative AI technologies and their rapidly growing use by individuals and businesses. The Copyright Office has received requests from Congress and members of the public, including creators and AI users, to examine the issues raised for copyright, and it is already receiving applications for registration of works including AI-generated content.”

The Office also issued updated registration guidance that has an immediate effect on your ability to protect your original works. 

Paul and Mike discuss ways to use AI-powered technologies that are legal, and what tech companies need to address with their tools. 

Listen to this week’s episode on your favorite podcast player, and be sure to explore the links below for more thoughts and perspectives on these important topics.

The Marketing AI Show is back! The smart CRM market is evolving…and so are marketers and businesses with the help of AI. 

First comes ChatSpot, then comes Salesforce Einstein GPT

Coming on the heels of HubSpot’s ChatSpot announcement, Salesforce just announced Einstein GPT, a generative AI tool for its market-leading CRM. The tool, which is currently in closed pilot, creates content across marketing, sales, and service use cases.

Salesforce’s communications say, “Einstein GPT will infuse Salesforce’s proprietary AI models with generative AI technology from an ecosystem of partners and real-time data from the Salesforce Data Cloud, which ingests, harmonizes, and unifies all of a company’s customer data.”

They say Einstein GPT can generate personalized emails, generate specific responses for customer service teams, generate targeted content, and auto-generate code for developers. In the same breath, the company also announced a $250 million Generative AI fund through its venture arm. 

The value (or lack thereof) gained by AI is dependent on three factors. 

Paul recently published a post on an AI topic framing his idea of  “the law of uneven AI distribution.” In it, he wrote: “The Law: The value you gain from AI, and how quickly and consistently that value is realized, is directly proportional to your understanding of, access to, and acceptance of the technology.”

This uneven distribution will create dramatic differences in people’s experiences with and perceptions of AI. And it’s all dependent on three factors: how well you understand AI, the level of access you have to AI, and how much you accept the radical changes that AI will bring about in business and society. 

Do we need to fill the time saved by AI with more…work? 

When we talk about AI, we often hear that the wondrous productivity gains produced by AI technology will give us back more time, in turn making our lives less busy and more fulfilling.

And these productivity gains are valuable. Venture fund ARK Invest predicts that we could boost the productivity of the average knowledge worker by 140% with AI, which would create $56 trillion in value globally. But a new article from the Centre for International Governance Innovation challenges the idea that AI will liberate our time and goes so far as to call the AI productivity narrative “a lie.”

However, history has shown that efficiencies often heighten expectations and standards. How can we as marketers, business leaders, and humans, ensure we aren’t exacerbating Parkinson’s law by adding to the idea that “work expands so as to fill the time available for its completion?” How can we invest that time in things we want to do? This is a topic we all need to listen to!

This week’s episode of The Marketing AI Show touches on generative AI, and you guessed it, ChatGPT. But it’s not more of the same. APIs and HubSpot take ChatGPT to the next level. Tune in! 

ChatSpot…the latest in ChatGPT

The week is starting off with a big development. Just yesterday, Monday, March 6, HubSpot co-founder and CTO Dharmesh Shah released ChatSpot, an AI tool that combines the power of ChatGPT, image generation AI, and HubSpot’s CRM. The tool lets you ask questions of your HubSpot portal and provide instructions in natural language through a chat interface. For example, you can use ChatSpot to give you a summary of data in your portal, create a report of companies added last quarter summarized by country, or generate an image of an orange rocket ship. Mike and Paul break down this latest development and what it means for HubSpot customers and agencies. 

The biggest winners generative AI tech stack…so far

Legendary venture capital firm Andreessen Horowitz published a deep dive into the generative AI market: “Who Owns the Generative AI Platform?” To create this, the firm met with dozens of startup founders and operators who deal directly with generative AI to better understand where the value in this market will accrue. Andreessen breaks down the generative AI tech stack into three main categories: 

• Infrastructure - the cloud platforms and chips used to train models
• Models - the foundational models like GPT-3 that power generative AI tools
• Apps - the actual products like Jasper that customers use



Andreessen observed that infrastructure vendors are likely the biggest winners in this market so far, capturing the majority of dollars flowing through the stack. Application companies are growing topline revenues very quickly but often struggle with retention, product differentiation, and gross margins. And most model providers, though responsible for the very existence of this market, haven’t yet achieved a large commercial scale.

Bottom line: the companies creating the most value — i.e. training generative AI models and applying them in new apps — haven’t captured most of it. 

APIs are available for ChatGPT and Whisper

We knew it would happen soon: developers can now integrate ChatGPT and Whisper, OpenAI’s human-level speech recognition system, into apps and products through the company’s API. Since December, OpenAI says it has reduced the cost of ChatGPT by 90%—savings that API users will now receive when they use it, making it much easier and cheaper for companies to incorporate the capabilities of ChatGPT and Whisper into their businesses.

However, this doesn’t just mean every business can have its own instance of ChatGPT. It means they can use these capabilities to build innovative new products.

And tech and e-commerce companies are here for it. Already, Snap, the creator of Snapchat, introduced My AI, a customizable on-platform chatbot that is built on the ChatGPT API. Instacart is using the ChatGPT API to pair ChatGPT with its own data so that customers can ask open-ended natural language questions. And Speak is an AI language learning app and the fastest-growing English app in South Korea. They’re using the Whisper API to power an AI-speaking companion product. It’s impressive to see the API in action. 

These advancements and developments—happening at lightning speed—have an immediate impact on the marketing world. Paul and Mike help us uncover new opportunities and possibilities. 

Listen to this week’s episode on your favorite podcast player, and be sure to explore the links below for more thoughts and perspectives on these important topics.

This week’s episode of The Marketing AI Show brings out some strong opinions from Paul and Mike. The common thread in the three stories covered? Humans. 

OpenAI drops a big announcement planning for AGI.

OpenAI, the creator of ChatGPT, just published a bombshell article titled “Planning for AGI and Beyond,” AI systems that are smarter than humans at many different tasks. OpenAI says that AGI “has the potential to give everyone incredible new capabilities; we can imagine a world where all of us have access to help with almost any cognitive task, providing a great force multiplier for human ingenuity and creativity.” But it also notes the serious risks of misusing such a hyper-intelligent system. Because of this, OpenAI outlines short- and long-term principles to “carefully steward AGI into existence.”

AI-generated content will lead to more human content.

Paul recently posted on LinkedIn about the “rise of more human content,” and it’s gotten some attention. In the post, he outlines one possible future for content in the age of AI-generated content, saying “As AI-generated content floods the web, I believe we will see authentic human content take on far greater meaning and value for individuals and brands.”

Readers had some things to say, including Alvaro Melendez, who said, “I totally agree I think we will see a rise in relevance and appreciation of artisan content. Human-crafted stories will gain in value.” Paul and Mike discuss their thoughts and observations. See the show notes below for a link to Paul’s post. 

Get-rich-quick schemes are on the rise as ChatGPT takes center stage.

Internet scammers are now selling get-rich-quick advice on how to use ChatGPT to churn out content that makes money. 

In one noted example, the editors of Clarkesworld, a popular science fiction and fantasy magazine that accepts short story submissions, recently estimated that 500 out of 1,200 submissions received in February were AI-generated by tools like ChatGPT. The problem got so bad, the magazine had to suspend submissions. And Clarkesworld is not alone. 

This trend is impacting far more than fiction. Similar advice on how to make a quick buck generating content across book publishing, e-commerce, and YouTube is prevalent. In fact, there are already 200+ books on Amazon that now list ChatGPT as an author or co-author.

Paul and Mike have a lot to say on this topic! 

Plus, stick around for the rapid-fire questions at the end, covering Bain x OpenAI, and Meta AI’s LLaMA release.

Paul and Mike are back together for a new episode of The Marketing AI Show. As technologies fast-track some rollouts, it’s clear that it might be time to slow down, and this includes ChatGPT better explaining its value. Then the guys discuss “World of Bits” and what this means for marketers and the business world.

Microsoft’s Bing chatbot is not ready for primetime.

A recent interaction between New York Times technology reporter, Kevin Roose, and a chatbot developed by MIcrosoft for its Bing search engine went a bit awry. 

Suffice it to say, it turned into bizarre and unsettling human/machine interaction. During a two-hour conversation, the chatbot told Roose unsettling things like that it could hack into computer systems and also suggested Roose leave his wife.

Roose concluded that the AI wasn’t ready for primetime, and Microsoft is now doing damage control. 

ChatGPT vows to better educate the public.

For marketers who have taken time to understand ChatGPT, you have seen some degree of value in the tool. For your average consumer, many are confused or generally scared by the idea of what AI could do. Because of this and a myriad reasons, OpenAI recently published a blog post that addresses some of the known issues with ChatGPT’s behavior. It also provides some education on how ChatGPT is pre-trained, and how it is continuously fine-tuned by humans. 

Open AI is working hard to improve ChatGPT’s default behavior by better addressing biases in the tool’s responses, defining the AI’s values within broad bounds, and making an effort to incorporate more public input on how the system’s rules work.

“World of Bits” has transformative implications on marketing and business.

Paul wrote a blog post over the weekend about a powerful concept called “World of Bits,” saying that it could transform marketing and business. In the post, Paul said, “Based on a collection of public AI research papers related to a concept called World of Bits (WoB), and in light of recent events and milestones in the AI industry, including legendary AI researcher Andrej Karpathy announcing his return to OpenAI, it appears that the capabilities for AI systems to use a keyboard and mouse are being developed in major AI research labs right now.” 

The outcomes? If AI develops these abilities at scale, the UX of every SaaS company will have to be re-imagined, and it will have profound impacts on productivity, the economy, and human labor. It’s a great and thought-provoking way to end this week’s podcast. 

Listen to this week’s episode on your favorite podcast player, and be sure to explore the links below for more thoughts and perspectives on these important topics.

This week on The Marketing AI Show, Paul takes the show on the road—to San Francisco for Jasper’s GenAI Conference—while Mike is here in Cleveland. The big news is Bard, Bing, and a $6 Billion valuation. Suddenly, it’s ChatGPT against the world.

Google responds to ChatGPT with its conversational AI tool, Bard.

Google just announced an experimental conversational AI tool named Bard. Bard uses Google’s LaMDA language model to provide natural language answers to search queries. Think of it like ChatGPT, but backed by all the knowledge and information that Google’s search engine has cataloged over the last couple of decades. 

The announcement of Bard—a response to OpenAI and ChatGPT—prompted some critics to say the rollout was rushed, while others said they moved too slowly after ChatGPT took center stage in December and January. 

If you missed it, the demo didn’t quite go as planned.

OpenAI gives Bing a new lease on life.

Microsoft’s Bing is getting more attention now than its previous 14 years combined. The latest version of the search engine is powered by OpenAI, complete with ChatGPT-like conversational capabilities. Bing can now respond to searches and queries in natural language, like ChatGPT, and use up-to-date information, like Google’s Bard release. 

Kevin Roose, technology writer at the New York Times, took the new capabilities for a test drive and was impressed. 

Will Bing and OpenAI make Edge, Microsoft’s browser, interesting for customers?

Cohere answers the call for ChatGPT for the enterprise.

Major AI startup, Cohere, is in talks to raise money at a $6 billion valuation and bring ChatGPT-like capabilities to businesses. Established in 2019 by former researchers at Alphabet/Google, Cohere is a big player in the world of AI. The foundational language AI technology allows businesses to incorporate large language models into their work.

The group is now in talks to raise hundreds of millions at a $6 billion valuation, reports Reuters, as the AI arms race heats up. Cohere is no stranger to the VC world, having already raised $170 million from venture capital funds and AI leaders like Geoff Hinton and Fei-Fei Li.

The appeal is the company’s focus on building for the enterprise, with an emphasis on real-world applications for their technology.

Listen to this week’s episode on your favorite podcast player, and be sure to explore the links below for more thoughts and perspectives on these important topics.

This week on The Marketing AI Show, the guys discuss responsible AI, do a deeper dive into Meta’s CICERO (after a short discussion in Ep. 25 of the podcast), and the job posting Mike came across for an AI Marketing Specialist. Is this the first? 

A manifesto for responsible AI—for companies to use for themselves

Last week on the Marketing AI Institute blog, you may have seen our Responsible AI Manifesto for Marketing and Business. In it, Paul lays out the 12 principles that we’re using to guide us in the responsible use of AI within our organization. From this blog post and Paul’s subsequent LinkedIn post, we received feedback, comments, and some praise on taking this step. Much of the feedback asked if we had considered a certain principle, or questioned one of the bullet points in the article. On the podcast, Paul and Mike walk through each principle and break down their thoughts and how businesses and marketing leaders can use this document to create a manifesto of their own.

What is CICERO…and what are the implications?

In November 2022, Meta AI introduced CICERO, the first AI to play at a human level in Diplomacy, a strategy game that requires building trust, negotiating, and cooperating with multiple players…essentially trying to make it fundamentally honest and collaborative. Is there a place for CICERO in business and life? Will AI assistants be able to help us negotiate and navigate through life? Many of these questions touch on conversations Paul has had, and posts he’s shared: there’s a much bigger story to these AI developments, and the implications for business and society are huge.

The first (that we’ve seen) AI marketing job listing

Tomorrow.io’s CMO Dan Slagen shared his company’s most recent job posting for an AI Marketing Specialist. The good news is that this is a junior role, and years of experience aren’t needed. It’s interesting and exciting that one function of this role will be to stay up to date on the latest AI developments and learn to pilot and scale AI programs as they learn. What a great way for businesses to stay ahead of the AI curve and bring on interested, enthusiastic talent.

This podcast episode ends with rapid-fire questions talking about Big Tech’s Q1 earnings calls, updates on Microsoft and Bing, ChatGPT breaking records, and Runway Gen-1’s big announcement.

Listen to this week’s episode on your favorite podcast player and be sure to explore the links below for more thoughts and perspective on these important topics.

This week on The Marketing AI Show, all three topics focus on AI and writing. This mega-episode brings to the surface many of the questions we’re hearing from our community. 

AI writing tools are rapidly transforming the art and science of storytelling, and in the process, they're disrupting writing as we know it. Everyone at every size company now has access to powerful and affordable AI technologies that are redefining writing and forcing companies to reimagine content teams and strategies to remain competitive. 

We can already 10X our content output, like ads, articles, blog posts, emails, and more, with today’s AI—and it’s growing more powerful by the day. This has created massive uncertainty for writers, brands, agencies, and media companies. 

And it’s made it essential that writers, editors, and content leaders take action to understand and apply AI. Today’s podcast episode is a mega-episode on AI writing and the impact it will have on writers and writing as we know it.

Funding is flooding the space, and we’re already seeing media businesses incorporate AI writing into their business models—with mixed results. But these businesses are moving forward anyway. It’s important for marketing and business leaders to remember that a tool like ChatGPT is just the tip of the AI iceberg for marketers and business leaders. It's the shiny object that's captured everyone's attention, and rightly so. 

So what is the future of AI and writing? 

The second topic on AI and writing touches on AI writing tools.

These tools can enable all sorts of highly valuable use cases across writing functions. Used intelligently, these tools can dramatically improve your productivity and performance as a writer.

On the other hand, they also have plenty of limitations that any writer using these tools must be able to identify if they want to succeed at AI-powered writing. 

How should these tools be used by individuals and brands? We believe that understanding the very real issues raised by this technology is key to adopting it in a responsible way.

And finally, how will AI change writing careers? AI is going to have a major impact on the careers and skills of writers and content professionals. These more intelligent tools are already opening up new frontiers of creativity, productivity, and writing at scale for savvy professionals.

But they’re also changing the nature of writing work and business models, and writers and companies will need to adapt accordingly.

Mike and Paul invest these 45 minutes in helping listeners understand what these new developments mean, providing context on what marketers and business leaders can do, need to consider, and how to adapt. 

Listen to this week’s episode on your favorite podcast player and be sure to explore the links below for more thoughts and perspective on these important topics.

This week in AI news, we talk about education, an AI arms race, and a very dark side of AI training. 

First up, A 22-year-old has created an app that claims to detect text generated by ChatGPT. The tool is called GPTZero, and it was created by Edward Tian, a senior at Princeton University, to combat the misuse of AI technology. Tian believes AI is at an inflection point and has the potential to be "incredible" but also "terrifying." The app works by looking at two variables in a text: “perplexity” and “burstiness,” and it assigns each variable a score. First, the app measures its familiarity with the text presented, given what it has seen during training. The less familiar it is, then, the higher the text's perplexity is, meaning it's more likely to be human-written,  according to Tian. It then measures burstiness by scanning the text to see how variable it is; if it varies a lot, it's likely to be human-written. Tian's app aims to incentivize originality in human writing and prevent the "Hallmarkization of everything" where all written communication becomes formulaic and wit. Paul and Mike discuss what this means, ethical issues, and opportunities and challenges for this tool. 

Next up, this week, Google staked its position in the AI arms race by announcing its commitment to dozens of new advancements in 2023. The New York Times reported that Google’s founders, Larry Page and Sergey Brin, were called in to refine the company’s AI strategy in response to threats like ChatGPT and major players like Microsoft, who just formally announced its multi-billion-dollar partnership with OpenAI. According to the Times, Google now intends to launch more than 20 new AI-powered products and demonstrate a version of its search engine with chatbot features this year.

And finally, a new investigative report reveals the dark side of training AI models. A recent investigation by Time found that OpenAI used outsourced Kenyan laborers earning less than $2 per hour to make ChatGPT less toxic. That included having workers review and label large amounts of disturbing text, including violent, sexist, and racist remarks, to teach the platform what constituted unsafe outputs. Some workers reported serious mental trauma resulting from the work, which was eventually suspended by OpenAI and Sama, the outsourcing company involved, due to the damage to workers and the negative press. 

As Paul put it in a recent LinkedIn post, this raises larger questions about how AI is trained: “There are people, often in faraway places, whose livelihoods depend on them exploring the darkest sides of humanity every day. Their jobs are to read, review and watch content no one should have to see.”

Generative AI has so many benefits for marketers. But with the rapid pace of adoption—often with little to no oversight–-issues are quickly arising. From educational concerns to legal ramifications, Paul and Mike discuss this on this week’s Marketing AI Show podcast episode. Also, stick around for an update on the developments between OpenAI and Microsoft.

First up, higher education has been rocked by ChatGPT. Professors and educators need to rethink assignments when it comes to essay writing, take-home tests might become a thing of the past, oral exams will be on the rise, and identifying plagiarism has a new twist. Schools are banning the use of ChatGPT in assignments, but how can they truly know how the assignment was completed? And should educators teach students how AI can augment their learning? One student has created a tool to identify content generated by ChatGPT, but is that really the solution?

Next, generative AI is having some legal troubles. Stability AI has received formal notification of impending litigation. Intellectual property, derivative works, and copyright violations are all discussion points as these technologies advance and learn. As the line isn’t clear, and precedent has not been established, the court cases will continue to mount. GitHub and Midjourney are in the thick of this as well. Once fast to market, Reuters reported that Sam Altman says OpenAI’s GPT-4 will launch only when they can do it safely & responsibly. “In general we are going to release technology much more slowly than people would like. We’re going to sit on it for much longer…” That’s a good thing, but is it too late? 

Finally, last week in episode 29, we discussed Microsoft and OpenAI. On Microsoft Azure’s website, they announce, “Today, we are excited to announce the general availability of Azure OpenAI Service as part of Microsoft’s continued commitment to democratizing AI, and ongoing partnership with OpenAI.” As part of this, DALL-E 2 and ChatGPT can be integrated into their clients’ cloud apps. Developers are currently required to apply for access, and have to describe their intended use cases and applications before they can get access. 

Catch up on the latest news and think about these developments and what it means to you and your business.. Listen to the podcast below or in your favorite podcast player.

It’s been another exciting week in the world of artificial intelligence. What does it mean for marketers? The guys break it down on The Marketing AI Show. 

First up, Paul and Mike have hypothesized about this, and now the speculation has come true. According to a scoop from The Information, Microsoft plans to incorporate OpenAI’s ChatGPT into its Bing search engine. Today, Google handles more than 80% of search traffic. In comparison, Bing processed about 9% of worldwide searches in 2022. Rumor has it Microsoft is making a major play into using ChatGPT-like AI answers in search. Not to mention, this could open the door to using ChatGPT in Word and other Office products. Just days after the scoop, Semafor reported that Microsoft has been in talks to invest up to $10 billion in OpenAI. The funding would eventually give Microsoft a 49% stake in the company, valuing it at $29 billion total.

Next, Microsoft just announced a major milestone development in voice AI. The company revealed an AI model called VALL-E that can synthesize anyone’s voice using just 3 seconds of audio. Microsoft shared some audio samples, and simply put, Mike Kaput said they are “pretty stunning.” Based on just a few seconds of a person saying a random sentence, VALL-E can create completely new speech from scratch in their exact voice. The implications of hyper-realistic voice AI technology are widespread and mind-blowing. 

Finally, Paul’s recent LinkedIn post on AI disrupting marketing agencies got a lot of attention. In it, Paul said, “Artificial intelligence is going to disrupt a lot of marketing agencies in 2023. Some will seize the opportunity and create enormous value for themselves and their clients, while many will be obsoleted. These laggards won’t all die off overnight, but their relevance and value will quickly fade, and their clients (and people) will move on.” Hear Paul’s motivation for writing the post and the conversation that ensues. 

As advancements become more prevalent, conversations have become more important for marketers and business leaders. Tune in to see how you can act on these developments. Listen to the podcast below or in your favorite podcast player.

At Marketing AI Institute, we are seeing strong quantitative and qualitative evidence that indicates we are at an AI inflection point, where the technology begins to go fully mainstream in 2023—with profound effects on…well…everything.

For years, we have hypothesized that AI has the power to change just about everything in marketing, business, the economy, and society at large.

In 2022, we saw that hypothesis confirmed thanks to an explosion of AI capabilities and technologies driven by the stunning power of generative AI tools like ChatGPT. 

In a matter of months, even the brightest minds in AI have been surprised by how quickly and effectively AI tools have reshaped what we thought possible in marketing and business.

We’re going to devote today’s episode to outlining why we think we’re about to enter a golden age of AI progress that will reshape the work of every professional in every industry.

Mike and Paul are back for another episode of The Marketing AI Show.

Paul ran a head-to-head test of AI writing tools and posted about it on Twitter and LinkedIn. On both platforms, the posts gained traction and good feedback from our community and from technology companies. In the experiment, Paul ran the same three prompts/use cases through a handful of different tools. The tools were OpenAI’s ChatGPT and their Playground functionality; Cohere; Jasper; Writer; and HyperWrite. It’s an interesting case study showing AI in action.

Next up,  we’ve all seen plenty of examples online, many impressive, of what ChatGPT can do. In addition to writing text, ChatGPT is generating outlines, doing research, answering complex questions, and surfacing information. This has led to some serious online conversations asking the following question: Will ChatGPT replace Google search? Today, plenty of ChatGPT’s responses are inaccurate and don’t contain citations, but some people are already imagining a future where we no longer use a Google search to find information. 

The third topic of this week’s podcast is MyHeritage. MyHeritage is a discovery platform that helps you find people related to you. The company just released a free tool called AI Time Machine. You upload photos of yourself, then the AI creates hyper-realistic avatars of you in different historical time periods, from prehistoric times to Ancient Egypt to modern times. It’s a timely twist on hyper-popular photo apps like Lensa that are getting a lot of buzz.

Paul and Mike discuss three hot topics in the world of marketing and artificial intelligence:

An app called Lensa AI is taking the world by storm—and creating a lot of controversy as it does. Lensa allows you to upload photos of yourself, about 10-20 selfies, then it uses AI to generate dozens of avatar photos of you in many different styles, from serious and realistic to fantastical. The app has been generating $1 million or more in revenue per day as everyone and anyone can now create images of themselves using AI. But controversy ensues.

For five years now, McKinsey has been conducting its Global Survey on AI by surveying thousands of business leaders on how they use artificial intelligence. This year’s findings are now out in McKinsey’s State of AI in 2022. There’s a ton to unpack, so check out the show notes for the link. But three big points jumped out at me.

The third topic stems from Paul Roetzer's LinkedIn post and a Twitter thread that are getting a lot of attention. In both of them, Paul outlined why anyone who runs or invests in a software company needs to have a concrete plan for considering how AI will enhance and disrupt the business. Specifically, Paul mentions that “If I was running a software company right now, I would be aggressively exploring how recent advancements in AI (and the ones that are coming in 2023) could disrupt the business.”

Tune in!

Paul and Mike are back on The Marketing AI Show covering this week's top stories in AI, marketing, and business. This week, ChatGPT takes center stage, but there are also some other developments worth mentioning.

On November 30, OpenAI launched ChatGPT, a chatbot that anyone can converse with by typing in text prompts. All you have to do is type in a question or a command, and ChatGPT produces a response. Now, this sounds simple, but everyone in the AI world is positively stunned by the result. That’s because, as Kevin Roose at the New York Times puts it, “ChatGPT is, quite simply, the best artificial intelligence chatbot ever released to the general public.” Our team tested it out, and we share our results.

ChatGPT isn’t just a big deal for marketing. Some commentators have started to connect the dots about what ChatGPT means for business as a whole, the economy, and society.

We also discuss Meta's CICERO, the Lensa app, Runway's funding, DeepNash, Character.ai, and more.

While our Institute focuses on AI in the marketing world, some of the biggest companies in the world are finding AI applications for the business world and our personal lives. Artificial intelligence will be, and already is, embedded in our world. What are the big players working on? Mike and Paul discuss this on this week’s podcast. 

This episode kicks off discussing consulting firm Deloitte, who recently published a rundown of how AI for work relationships could be the next big thing in your office. Deloitte says that AI can “analyze human interactions during and after an event to generate personalized, confidential recommendations at an individual and organizational level to help improve human interactions at work.” 

They give a hypothetical example to illustrate the point: Imagine a near-future workplace where AI recommends how you should write a diplomatic email to two leaders pulling you into a nasty turf war. In this scenario, AI could recommend appropriate language and courses of action to resolve the dispute. It’s an interesting discussion on the opportunities and challenges, including the five areas Deloitte feels AI will have a big impact on work relationships.

Next, OpenAI, the creators of GPT-3 and DALL-E 2, just launched a program to fund and support founders creating transformative AI companies. The program is called Converge. According to the company, it is a “highly-selective, five-week program for exceptional engineers, designers, researchers, and product builders using AI to reimagine products and industries.” Participants receive a $1 million equity investment from OpenAI’s Startup Fund. They also get early access to OpenAI models and programming tailored to AI companies. In addition, they get workshops, office hours, and events with AI practitioners.

OpenAI says it’s motivated by “the belief that powerful AI systems will spark a Cambrian explosion of new products, services, and applications.” Mike and Paul discuss why hungry entrepreneurs are critical to the success and adoption of AI. 

Lastly, this past week, Google revealed a handful of incredible AI projects that it’s been working on, and they provide a glimpse of the near future of AI. These reveals break down into two broad categories: AI for social good and generative AI. On the social good front, Google revealed ideas such as AI for wildlife tracking, AI for flood forecasting, an AI-powered maternal health app, and an AI model that speaks the world’s 1,000 most-spoken languages. On the generative AI side, Google revealed self-coding robots, where robots can autonomously generate new code. Mike goes through a cool example, and they discuss the implications of these new projects. 

Listen to this great conversation with our team, and stick around for the end of the podcast for the rapid-fire discussion at the end!

This week Paul and Mike talk about three news stories and happenings in the world of artificial intelligence, and they break down their importance to marketers. In a word (or two): buckle up.

Well-known marketer Neil Patel recently revealed the results of Google’s latest algorithm updates on sites he owns that have AI-generated copy—and the results weren’t pretty. Patel disclosed that he has “100 experimental sites that use AI-written content.” He claims the sites are simply to figure out how Google perceives AI-written content, not to “game” the algorithm. Regardless of the motivation, he sure found out.

Next, Boston Consulting Group, BCG, recently released its guidelines for how companies should approach AI based on its Responsible AI Leader Blueprint. BCG defines responsible AI as “developing and operating artificial intelligence systems that align with organizational values and widely accepted standards of right and wrong while achieving transformative business impact.

And finally, earlier this year, the Partnership on AI did work on better understanding how AI will change the local news landscape by talking to 9 different experts in the space, including prominent media outlets and technologists. The Partnership on AI is a major nonprofit that was founded by Amazon, Facebook, Google, DeepMind, Microsoft, and IBM to research and share best practices around the development and deployment of artificial intelligence.

Listen to the conversation.

Paul and Mike return, discussing three more hot topics in the world of artificial intelligence.

Adobe, along with many other innovators, has been experimenting with Generative AI. It is a transformational technology, one that will accelerate the ways artists brainstorm and explore creative avenues — and make creativity accessible to millions more people.

At the same time, like many new technologies, Generative AI has raised valid concerns. Among the questions: How is the work of creative people being used to train AI models? And how will we know whether something we see was created by a human or a computer?

Next, New York City-based CALA, a startup that bills itself as the “world’s first operating system for fashion,” offers a digital platform (including a mobile app launched in March) that allows creators to design and produce clothing lines, unifying the process from product ideation through order fulfillment. With the addition of DALL-E-powered text-to-image generating tools, users can generate new visual design ideas from natural text descriptions or uploaded reference images – which the company says are first-of-its-kind capabilities for the fashion industry.

And finally, Sequoia Capital just signaled that they’re all-in on generative AI. Sequoia is one of the best-known venture capital firms on the planet, with decades of experience investing in some of tech’s biggest names like Apple, Google, Instagram, LinkedIn, and PayPal.

Recently, Sequoia published a post called “Generative AI: A Creative New World,” where they laid out their position on generative AI tools like Jasper, DALL-E 2, Stable Diffusion, and others taking the world by storm.

Listen to the conversation.

It was a busy week in the world of artificial intelligence! Mike and Paul are back on The Marketing AI Show to discuss three AI hot topics in the news. They’ll add their take on these developments and what it means for marketers and business leaders—and perhaps with an idea or two on how the Marketing AI Institute could support you.

Gartner came out with a report identifying seven technology disruptions that will transform sales over the next five years. Gartner says sales leaders need to recognize, prioritize and respond to these disruptions: generative artificial intelligence (AI), digital twin of the customer, augmented reality/virtual reality (AR/VR), machine customers, digital humans, emotion AI, and multimodality. 

Next, It was a good week for generative AI funding. Stability AI, the world's first community-driven, open-source artificial intelligence (AI) company, raised $101 million in funding. Additionally, Jasper secured a $125 million series A funding round at a $1.5 billion valuation.

This week Paul and Mike talk about three AI stories in the news and add their take on these developments and what it means for marketers and business leaders.

On October 4, the White House released what it calls an “AI Bill of Rights,” a document that offers a blueprint of “five principles that should guide the design, use, and deployment of automated systems.” It is not binding in any way, legally or otherwise. But they are an important initial effort by the US government to draw attention to the impact of artificial intelligence on our daily lives.

In an exclusive interview with McKinsey released in late September, Dr. Kai-Fu Lee, a world-leading AI expert, investor, and author spoke with McKinsey about how business leaders can use AI in their operations and what it means to be a truly AI-driven company.

Meta, the company formerly known as Facebook, just released Make-A-Video, an AI system that turns text prompts into machine-generated video clips. This means you can type in a prompt, like “a horse drinking water,” and Make-A-Video will understand the prompt and create a video clip of it in a specific style. This type of generative AI does for video what a tool like DALL-E 2 does for images: it creates unique visuals from a simple text prompt in seconds. The tool isn’t yet publicly available like DALL-E 2 but has major implications for businesses and creators.

This is a special, book-launch edition for Marketing Artificial Intelligence: AI, Marketing and the Future of Business, which is available starting June 28, 2022, in audio, digital, and print.

Marketing AI Institute’s Founder & CEO, Paul Roetzer, and Chief Content Officer, Mike Kaput, join forces to show marketers how to embrace AI and make it their competitive advantage...and discuss it on this week's podcast.

Marketing Artificial Intelligence draws on years of research and dozens of interviews with AI marketers, executives, engineers, and entrepreneurs. Roetzer and Kaput present the current potential of AI, as well as a glimpse into a near future in which marketers and machines work seamlessly to run personalized campaigns of unprecedented complexity with unimaginable simplicity.

In a survey by IBM, 3,000 CEOs said technological factors were the number one concern for their enterprises over the next two to three years. As a result, 60% say they’re accelerating digital transformation efforts.

This should be good news for CMOs. According to research from The CMO Council, the majority of the C-suite says the essential role of a CMO is to be a digital transformation leader. As companies go all-in on digital transformation driven from the top, CMOs should stand to benefit. But are CMOs prepared? 

In this week’s episode, Paul and Mike break down some key findings from our AI for CMOs report, discuss opportunities for CMOs and marketing leaders, and more.

AI has many use cases for the marketing world, and this week Paul Roetzer and Mike Kaput are talking about AI for advertising. From allocating ad budgets to optimization, ad versioning, targeting, copywriting, and more, AI can help advertisers and agencies more than many realize. This episode is the first in a series of AI use cases by marketing discipline, based on chapters of their new book, Marketing Artificial Intelligence: AI, Marketing, and the Future of Business. Paul and Mike talk about case studies including HOLT CAT, Vanguard, and more.

With each day that passes, and each advancement in artificial intelligence language and vision technology, it is becoming more apparent that there will be three types of businesses in every industry: AI Native, AI Emergent, and Obsolete.

Paul Roetzer kept running through examples in his mind—retailers, ecommerce shops, marketing agencies, event businesses, media companies, law firms, medical practices, artists, writers, graphic designers, financial advisors, banks, insurance brokers and carriers, software makers, game and app developers, real estate brokers, consumer products makers, hotels, restaurants, manufacturers, distributors, educational institutions—and he couldn’t come up with an industry or business model where this won’t be true.

That's the basis for this week's Marketing AI Show podcast. In this episode, Paul is in the hot seat, and our Chief Content Officer, Mike Kaput, interviews Paul about this topic and a recent article he posted about it.

In this week's episode, Paul and Mike sit down to talk about AI and how we use it at the Marketing AI Institute. With our annual Marketing AI Conference (MAICON) coming up in August, we're currently marketing the event and pushing registrations. But with so many folks in our database, how can we laser focus our efforts? We're using AI and technology to help us predict high priority contacts based on their probability to purchase (more intelligent)...so we can reach out to them with customized, personalized communications (more human).

We get transparent about our internal processes and hope you can learn something from this as well.

Paul Roetzer and Mike Kaput discuss AI in the news in this new format for our podcast.

Recent breakthroughs in language and vision AI technologies are accelerating innovation and creating increased uncertainty about where the limits of intelligent systems will be in the months and years ahead. 

Every career path, business, and industry will be changed by AI. It’s simply a matter of time 

And as designers learned with the introduction of DALL-E 2. And writers are learning with the rapid advancement of large language models from OpenAI, Google, Meta AI, and others. The future may be closer than we care to believe. 

So, what can you do to turn this uncertainty into opportunity?

Start by asking three questions:

1. What will be lost?
2. What will be gained?
3. When?

If you’re curious enough to understand what AI is, and what it is capable of doing, you will be able to see the inevitable transformations that are coming to your profession. 

Listen to this episode with Mike and Paul.

As part of our AI for CMOs series sponsored by Persado, Paul Roetzer is interviewing CMOs paving the way in onboarding and scaling AI-powered technologies in their marketing and businesses.

In this second episode in the series, Paul sits down with Andrea Brimmer, CMO of Ally. Ally, a leading full-scale digital financial services company, is currently using AI-powered technologies for conversational AI, document management, and to speed up and more efficiently run processes.

Brimmer is widely recognized as one of the country’s most innovative and effective marketing leaders. Among her many honors and accolades include being named a winner of Adweek’s 2020 Brand Genius awards for marketers who have skillfully led their brands’ messaging to new heights. She has been named three times to Forbes’ list of World’s Most Influential CMOs and a two-time honoree of 100 Leading Women by Automotive News.

As part of our AI for CMOs series sponsored by Persado, Paul Roetzer is interviewing CMOs paving the way in onboarding and scaling AI-powered technologies in their marketing.

In this first episode in the series, Paul sits down with John Dougherty, Chief Marketing Officer at Brighton Jones. John's role spans audience segmentation, automation, branding, digital media, events, messaging, inbound marketing, demand generation, and ROI. He develops the marketing vision and strategy with the support of his martech stack. Leaning on his agency experience, John views his business development team and business segments as “clients,” and focuses on providing the assets and tools needed for each to accomplish their goals. Improving marketing through the use of AI-powered tech opens up opportunities for John and his team to build and nurture and community through unique relationships with their customers.

In this week's episode, show host Paul Roetzer sits down with Cade Metz, technology correspondent for The New York Times, and author of the book Genius Makers: The Mavericks Who Brought AI to Google, Facebook and the World. This special episode took place during MAICON 2021 when Paul and Cade sat down for a fireside chat to discuss the story of AI throughout the past few decades.

Cade's book, published in 2021, gives readers an insider’s look at the mavericks leading the race for AI supremacy. Genius Makers dramatically presents the fierce conflict between national interests, shareholder value, the pursuit of scientific knowledge, and the very human concerns about privacy, security, bias, and prejudice. Like a great Victorian novel, this world of eccentric, brilliant, often unimaginably yet suddenly wealthy characters draws you into the most profound moral questions we can ask. And like a great mystery, it presents the story and facts that lead to a core, vital question: How far will we let it go? 

As one of Paul's opening lines of the interview, "[Genius Makers] literally just changed my perspective on the significance of what's happening," this episode dives into greater detail into some important moments in the book.

In this week's episode, show host Paul Roetzer sits down with Karen Hao, senior AI editor, MIT Technology Review. This special episode took place during MAICON 2021 when Paul and Karen sat down for a fireside chat to discuss responsible AI.

In this episode, Paul and Karen explore the ethical development and application of AI.

Drawing on her expansive research and writing, Hao offers:

• An inside look at the policies and practices of major tech companies.
• Lessons learned that you can use to ensure your company’s AI initiatives put people over profits. 
• A look into what's next and what's needed for responsible AI. 

In this week's episode, show host Paul Roetzer, sits down with Britney Muller, Founder of Data Science 101 and former senior SEO scientist with Moz. Britney is a prototype of what we call a next-gen marketer—or someone who understands what is possible with smarter technologies. 

In the episode, Muller talks about machine learning from her perspective, and the different tools and resources available to help apply AI in your career. She also discusses:

• Specific AI use cases for SEO.
• The impact of AI on marketing and SEO professionals in the next 3 - 5 years.
• Advice for marketers who are just getting started with machine learning and AI.

In this episode, Kevin Walsh, Group Product Manager for AI at HubSpot, gives us an inside look at how HubSpot thinks about artificial intelligence, and what customers can be doing to take advantage of AI-powered features within the CRM platform. Show host Paul Roetzer also dives into HubSpot’s point of view on AI, AI applications in the platform that customers can use today to make their marketing smarter,  and a little bit into the company’s product roadmap for AI solutions!

How can AI enable brands to deliver personalized customer experiences in real-time, so you can increase your revenue, shorten your sales cycle and strengthen your brand? Drift leaders, Maggie and Jordan, discuss how they use AI to achieve all of the above. They also share how Drift (the world's leading conversational marketing and sales platform) thinks about AI, plus how the company is integrating AI into its platform. Listen to the full episode for more on:

• Virtual Selling Assistants and how they differ from other chatbots.
• What an AI-powered industry means for marketers.
• Tips to get started with conversational marketing or advance the process you already have. 

We are entering the age of intelligent automation. What does it mean for marketers? How will our jobs evolve?

These are just a few of the questions we sought to answer in the 2021 State of Marketing AI Report. We teamed up with Drift in fall 2020 to gain unparalleled insights into the awareness, understanding and adoption of AI throughout the industry. 

What we learned is that the industry is on the cusp of transformation. In this episode Paul Roetzer, Founder and CEO, Marketing AI Institute, and Mike Kaput, Director, Marketing AI Institute, dive deep into 10 key findings from the newly released research. Listen to the whole interview to hear more about:

• Were there any surprises in the results?
• What does it all mean for the future of the industry?
• What does it mean for your career?

During his interview with show host Paul Roetzer, Harry discusses practical applications of AI that he has worked on and forecasts game-changing innovations coming in the next three to five years. Listen to the whole interview to hear more about:

• How AI will change our jobs as marketers. 
• How machines can make us more human. 
• Why McDonald’s is one of the most innovative brands he’s worked with. 
• Tips for marketers looking to become innovators.

David Meerman Scott digs into the dark side of social media and considers the question: Is Facebook evil? He also shares his thoughts on how AI-powered algorithms are affecting the way we consume news, and what it all means to brands and marketers.

In this episode, we address the burning question that drove our show host, Paul Roetzer, to start exploring AI years ago: Can AI create content? Back in 2015, the answer was generally no. But, so much has changed that impacts journalists, marketers, and the future of business. In this interview with Jeff, we discuss: 

• How AI can level up your content marketing. 
• How major advancements in natural language generation (NLG) are transforming the field. 
• Predictions for the future of content marketing as we know it. 
• Plus, major MarketMuse announcements for 2021.

In this episode, our main topic is conversational AI. Paul and Christi discuss the prevalence of conversational AI in our everyday lives—from voice search to chatbots and how they affect consumer behavior. She also answers several questions she gets from her marketing peers: 

• When it comes to voice search, where are the answers pulled from? And how does that affect my brand’s ability to show up?
• What is the difference between voice search and digital assistants?
• How can marketers get started with conversational AI? And what role will it play for the future of marketing?

Mathew is regarded as one of the leading minds on the future of marketing. During his interview, Mathew discusses the “Post AI Consumer,” and how AI has already changed the way consumers connect, find things, interface with technology, and make purchasing decisions. Listen to the show to hear more about:

• How deep fakes can actually be a positive thing. 
• Shopping on the "edge," and why it’s the next major wave of commerce.
• How you can adapt to a world in which AI powers everything.
• Ways to understand and apply AI in your career now.

In The Marketing AI Show, you’ll hear from top authors, entrepreneurs, researchers and executives as they share case studies, strategies and technologies that have the power to transform your business, and your career. Listen to the trailer for more on what to expect.