Everyday AI Podcast ? An AI and ChatGPT Podcast

To celebrate our 1 year anniversary, we're going to take a step back to where it all began with episode one and answer the hard-hitting question that no one wants to talk about when it comes to AI and job displacement. Will AI take our jobs?

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Join the discussion: Ask Jordan questions on AI and jobs

Related Episodes:
Ep 222: The Dispersion of AI Jobs Across the U.S. ? Why it matters
EP 1: Will AI Take Your Job?

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
02:00 Housekeeping items
05:00 Will AI take your job?
11:10 Generative AI advancing fast, concerns, hope remain.
15:46 2/3 jobs exposed to AI, 300M at risk.
23:26 False information spread by self-proclaimed influencers.
26:36 Smart people build AI, youth teach, AI superior.
36:26 Being creative involves processing past creativity for new ideas.
40:03 Generative AI now affordable, powerful, and reliable.
47:48 Facts presented: AI interest increasing in companies.
51:09 AI not always linked to increased employment.
58:14 OpenAI and Microsoft invest $100B in AI.
59:33 Smart software automates tasks with specialized models.
01:08:51 Workers are leaving big companies to start their own businesses due to AI.
01:09:45 Generative AI reshapes business and products.
01:16:40 Check out today's newsletter and enter giveaway.

Topics Covered in This Episode:
1. Current state of Artificial Intelligence
2. AI's impact on employment
3. Future of AI and jobs
4. The economics of AI
5. Misconceptions surrounding AI and jobs
6. AI in public and corporate view
7. Preparing for AI integration and job transpositions

Keywords:
Generative AI, AI affordability, AI accessibility, AI reliability, AI job impact, company layoffs, job automation, S&P 500, AI mentions in earnings calls, AI industry agents, OpenAI, Anthropic, Google, MetaLama, Cognition Labs, DeepMind, AI and knowledge work, domain-specific AI models, human intelligence and AI, AI democratization, AI exposure in jobs, AI impact on economy, AI and business survival, gig economy and AI, AI personalization, AI generalists, ongoing AI learning, AI giveaways, AI mentions in company earnings, AI expertise.

When we think recycling, we might think of plastics. Probably not Generative AI, right? Well, that's actually one of the ways that Lanzatech is fighting global warming -- by using Generative AI to help recycle carbon emissions.

How do they do it?
 
And how has Lanzatech created an internal Large Language Model that's giving them ridiculous in-office efficiencies?

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Join the discussion: Ask Jordan and James questions on GenAI and recycling

Related Episode:
Ep 224: AI and its Impact on Society - How it might look

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
01:50 About James and Lanzatech
04:49 Using AI to engineer biology for refining.
09:47 Create biological language model to engineer microbes.
13:00 Misconception about value from large language models.
15:58 Importance of creating and using specialized models.
17:10 AI accelerates technology development, leading to efficiency.
22:09 AI enhances scientific experiments with human oversight.
24:32 Golden age of technology with AI excitement.

Topics Covered in This Episode:
1. About James Daniell and Lanzatech
2. How generative AI helps recycling
3. Use and benefits of AI within LanzaTech
4. Potential of GenAI solving environmental problems

Keywords:
Generative AI, science, biology, productivity, sales cover letter, bio companies, life science companies, impact, everyday AI, Jordan Wilson, artificial intelligence, computational biology, LanzaTech, climate change, fossil fuels, pollution, carbon, carbon recycling, microbes, emissions, carbon recycling technology, building block chemicals, fuels, products, transformer, Google, genetic engineering, trash into treasures, internal scientific knowledge base, intelligence amplification.

Is this AI tool too good to be safe? Maybe.  We'll be taking a look at Microsoft's impressive VASA-1 deepfake cloning technology. 
We'll answer the important questions:
? What is this technology? 
? Why do we need it? 
? Is it so good that it's dangerous? 

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Join the discussion: Ask Jordan questions on Microsoft VASA-1

Related Episodes:
Ep 211: OpenAI?s Sora ? The larger impact that no one?s talking about
Ep 157: Future of AI Video ? Pika Labs 1.0, Runway updates, Meta Emu and more

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
01:20 Daily AI news
05:15 Is VASA-1 dangerous?
09:12 Potential dangers of AI outweigh potential benefits.
12:14 Voice inflection changes, impressive text to speech.
15:29 Generative content creation: impressive, concerning, and exciting.
18:54 Quickly scalable technology opens exciting possibilities but troubling.
21:23 Real-time face swapping with surprising computing power.
24:35 Realistic motion control, capturing human-like tendencies.
29:26 Use digital avatars for efficient training purposes.
30:16 Microsoft research paper VASA 1 creates human-like avatars.
34:20 Discussing generative AI's potential benefits versus risks.

Topics Covered in This Episode:
1. Explanation of VASA-1's capabilities
2. Concerns around Microsoft's VASA-1
3. Discussion on deepfakes
4. Potential Risks and Ethical Considerations
5. Potential Benefits and Positive Use Cases

Keywords:
Microsoft's VASA 1, deep fake model, Everyday AI, livestream podcast, AI news, Adobe, Photoshop, Google, DeepMind, Microsoft PHY 3 mini model, OpenAI's SoRUP, AI deepfakes, talking head images, Jordan Wilson, misinformation, disinformation, generative AI, AI's impact on jobs, lifelike talking faces, digital twin technology, AI avatar, AI-generated speech, Mona Lisa, Baidu's Emo, Synthesia, HeyGen, Hour 1, DID platform, training, personalized learning

Will Meta's Llama 3 take the LLM crown? Is Microsoft's VASA-1 so good that it's dangerous? What does the new Atlas model from Boston Dynamics mean for the intersection of AI and robotics? We'll catch you up on all of that and more, with this week's AI News that matters.

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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
02:20 New developments in Meta's llama.
05:03 Try Llama 3, important updates, December 2023.
08:30 Anthropic's models range from 8B to 400B parameters.
12:43 Artificial intelligence creates hyperrealistic talking head videos.
14:55 VESA 1 technology creates videos from one image and voice.
19:19 Boston Dynamics introduces electric Atlas robot model.
23:09 Next iPhone may partner with Google or OpenAI
26:40 Instagram post hints at Caitlin Clark's success.

Topics Covered in This Episode:
1. Introduction of Meta Llama 3
2. Microsoft's Introduction of VASA 1
3. Miscellaneous AI and Tech News

Keywords:
Jordan Wilson, Meta, Llama 3, Microsoft, visa 1, chat GPT 5, Meta AI, open model, closed source models, OpenAI, Google, public use, Facebook, knowledge cutoff, download, fork, benchmarking, parameters, model, Mark Zuckerberg, CEO, Google Gemini, Anthropic's Quad 3 OPUS, VASA 1, AI framework, hyperrealistic talking faces, lip syncing, AI-based movie making, Atlas robot, TED Talks.

We've been doing this whole 'talk about AI every day' thing for about a year. So you decided (literally, in a poll) that you wanted to grab the metaphorical mic and flip the script. It's your turn to interview me on the first (and maybe last?) edition of Freestyle Friday: Ask Me Anything (about AI).
 
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Related Episodes:
Ep 200: 200 Facts, Stats, and Hot Takes About GenAI ? Celebrating 200 Episodes
Ep 176: GenAI Catchup ? What?s coming in 2024

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
02:25 Daily AI news
06:52 Meta's large models outperform leading models.
12:15 ChatGPT feature automatically commits information to memory.
13:11 OpenAI struggles with sharing context window effectively.
20:38 Uncertainty surrounding AI monetization and impact on SEO.
23:56 Testing abilities of AI models compared to humans.
36:33 Detecting text-based disinformation is more challenging.
38:01 Struggling to keep up with industry changes.
41:48 OpenAI and Meta update knowledge cutoff dates.
48:10 Third-party tools lack necessary features for business.

Topics Covered in This Episode:
1. AI-related queries
2. AI in business and startups
3. Use of AI models
4. Legal and ethical challenges in AI

Keywords:
AI, ChatGPT, cross chat memory, AI apps, third-party tools, everydayai.com, Freestyle Friday, large language models, Meta, Microsoft Copilot, AI acquisitions, data collection, AI chats, AI and disinformation, AI anxiety, AI startup market, Llama 3, open-source models, closed source models, MMLU system, Mistral, Cast Magic, Voila, AI in education, AI in sports, US military dogfight, NVIDIA, LAMA 3.

What the heck is a GPT and do I need one? The answer is yes. GPTs take ChatGPT to the next level, allowing you to create custom workflows for your needs. Whether you're a beginner or you've built a GPT or 5, this episode is for you.

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Join the discussion: Ask Jordan questions on GPTs

Related Episodes:
Ep 183: Turning GPTs Into Gold ? Monetization Strategies and Practical Applications
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
01:25 Daily AI news
07:00 Basics of GPTs
08:52 Knowledge workers can benefit from GPTs.
11:49 Creating custom GPTs allows fine-tuned control.
15:40 Many publicly available GPTs for custom use.
19:04 Customized ChatGPT utilizes industry-specific knowledge.
22:01 Multiple GPTs used in chat for autonomy.
25:45 Sell custom GPTs and make some money.
27:47 Quick rapid-fire Q&A for live audience.
32:08 Identify repetitive tasks to create GPT.
35:01 Customize ChatGPT for specific tasks and needs.
39:44 Provide input-output pairs to improve GPT performance.
43:41 Use web reader GPT
48:59 Using GPT helps complete tasks efficiently.

Topics Covered in This Episode:
1. Custom GPTs: An Overview
2. Utilization of GPTs in Everyday Tasks
3. Creating Custom GPTs
4. Monetization of GPTs in GPT Store
5. GPTs in Action: Automating Work Operations

Keywords:
artificial intelligence, podcast, Bing, priming the AI, GPT, chat GPT, custom GPT, GPT store, workflow automation, repetitive tasks, knowledge tasks, ChatGPT Plus, GPT customization, business development, career growth, Slack's AI tools, Boston Dynamics' robot, Microsoft's AI model, GPT course, Copilot Pro, monetization, browser plugin, document recall, targeted research, configuration instructions, conversation starters, custom knowledge base, paying users.

Let's agree on this: so many schools are dropping the ball on GenAI. So, what should schools be doing NOW to make sure they can benefit from an AI future? We find out with Darren Coxon, Founder of Coxon AI.

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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Darren questions on AI in education

Related Episodes:
Ep 168: AI in Higher Education is Broken. How to Fix it.
Ep 178: Teaching The Next Generation About AI

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
01:20 Daily AI news
04:05 About Darren and Coxon AI
07:57 Fear and misunderstanding of AI in education.
10:52 AI alignment with school leaders crucial for success.
15:59 AI in education example using Gemini and Claude.
17:51 AI as learning support, teachers should improve.
20:38 Schools under pressure to adopt AI strategies.
24:29 Feeling like part of an experiment, teaching above.
27:08 Kids learning DNA through friendly AI conversations.
30:38 Start using it with younger non-exam students.

Topics Covered in This Episode:
1. AI as a Support Tool, Not a Replacement
2. Schools and Their Relation to AI
3. Integration of AI Into Curriculum and Teaching Approaches
4. Slow Pace of Change in Education Systems
5. Adopting AI in Low-Stakes Educational Situations

Keywords:
AI in education, Darren Coxon, AI strategy in schools, artificial intelligence, engaging students, pedagogy, chatbots in education, cyberbullying, plagiarism, safeguarding, digital strategy in schools, human skills, critical thinking, creativity, education system change, generative AI, hyper-personalized learning, human-focused activities, everydayai.com newsletter, AI integration concerns, fear of AI, large language models, leadership alignment, AI misconceptions, future of education, AI fun, AI adoption, Microsoft & g42 partnership, AMD GPU chips, NVIDIA GPU chips.

Ready for a little LLM secret? Big tech companies are lying to us. They tell us their models are connected to the internet in real time. Are they really? Not really. We're doing an LLM breakdown, as we compare the internet connectivity of popular large language models like ChatGPT, Gemini, and Copilot. 

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Join the discussion: Ask Jordan questions on LLMs

Related Episodes:
Ep 246: No that?s not how ChatGPT works. A guide on who to trust around LLMs
Ep 204: Google Gemini Advanced ? 7 things you need to know

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
02:00 LLMs we are testing
05:33 RAG importance in AI and internet connection.
06:50 Browsing with Bing queries words in URL.
13:04 Comparing AI accuracy
15:40 Rating and evaluating ChatGPT and Copilot performance.
19:34 Acknowledgement of Google's helpful search feature.
26:14 Uploading files to ChatGPT.
29:21 Unofficial language model results from Internet connection.
31:14 Large language models being integrated everywhere.

Topics Covered in This Episode:
1. Testing Large Language Models
2. Using Large Language Models in Business
3. In-Depth Comparison of Different Language Models
4. Implications for Future Use

Keywords:
ChatGPT, Google Gemini, Microsoft Copilot, large language models, internet information retrieval, web reading platforms, information interpretation, accuracy, business use, safeguards against inaccuracies, up-to-date information, real-time data, live testing, language model performance, Everyday AI, Jordan Wilson, market cap, largest US companies, podcast episodes description, language models comparison, browse with Bing feature, web reader GPT feature, outdated information, information veracity, data retrieval, PDF hidden information, artificial intelligence, integrated AI, internet connectivity, knowledge workers.

Will Google be (more?) relevant now with its AI announcements? Why did Adobe reportedly train its AI image model with.... AI images? And is OpenAI in trouble with YouTube? We've got those answers and more with our weekly AI News That Matters segment.

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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI

Related Episodes:
Ep 204: Google Gemini Advanced ? 7 things you need to know
Ep 211: OpenAI?s Sora ? The larger impact that no one?s talking about

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
02:30 Google's new AI features from Cloud Next.
05:40 Google announces Google Vids and Gemini 1.5.
08:23 OpenAI's recent firings and internal investigation.
13:23 YouTube CEO warns against unauthorized use of content.
16:28 Debates on copyright and AI-generated content.
19:29 AI image generators raise copyright ownership concerns.
21:45 Adobe under scrutiny for using copyrighted material.
25:10 Adobe pays creators, future job security uncertain.

Topics Covered in this Episode:
1. Google's AI announcements
2. OpenAI's data leak and staffing changes
3. YouTube's CEO's concerns about OpenAI
4.  Controversies around Adobe's AI image model, Firefly
5. Adobe's incentives for AI training data collection

Keywords:
Google AI, Adobe, OpenAI, data leak, AI news, generative AI, AI developments, AI tools, software, Google's new AI features, Google Workspace, AI podcast, Google Cloud Next Conference, Google Vids, AI video, AI image, Midjourney, Firefly, AI model garden, everyday AI, training AI models, copyright infringement, Neil Mohan, YouTube, artificial intelligence, ChatGPT, YouTube's terms of service, AI transparency, Sora model, AI ethics.

Bigger isn't always better. Today, we're giving you 14 essential facts about Small Language Models. You'll not only learn the difference between large and small language models, but you'll be able to slice through the jargon and be the language model expert in the room.

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Join the discussion: Ask Jordan questions about small language models

Related Episodes:
Ep 204: Google Gemini Advanced ? 7 things you need to know
Ep 223: Anthropic Claude 3 ? Better Than ChatGPT and Google Gemini?

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
02:40 Exploring small language models vs large models.
03:42 Definition of small language models is changing.
08:49 Small language models are for specific purposes.
11:55 Small language models are faster and local.
14:45 Tim Cook announces new language model for devices.
21:25 2024 shift to smaller, focused language models.
27:56 RAG: Combining data, small language models' future.
28:52 Concern for large language models, potential for small models.

Topics Covered in This Episode:
1. Introduction to Language Models
2. Advantages and Usage of Small Language Models
3. Comparison of Small and Large Language Models
4. Future of Small Language Models

Keywords:
Large language models, Small language models, GPT-4, Gemini Ultra, PHY2, Llama, Parameters, Language translation, coding, Generating AI, GPT-5, MMLU, Speed, Efficiency, Fine-tuning, Maintenance, Copy-paste prompts, Chatbots, Search engines, Voice assistants, Hugging Face, Cloud-based services, Downloading models, Gemini Nano, NVIDIA's chat with RTX, RAG, Security, Privacy, Retrieval Augmented Generation

ChatGPT is still the biggest and best AI chatbot in 2024. Yet so many people are still confused about the difference in modes. So, we're gonna tackle one of the biggest questions we get - what's the difference between the free version of ChatGPT and the paid version of ChatGPT Plus? 

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Join the discussion: Ask Jordan questions about ChatGPT

Related Episodes:
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
02:15 Daily AI news
07:15 New updates with GPT-4 Turbo
13:18 ChatGPT still limited, information may be incomplete.
16:19 Paid account gets 40 messages every 3 hours.
17:18 Updated free 3.5 model faster, but still slow.
22:21 Efficiently complete multiple tasks within one chat.
24:57 Utilize ChatGPT for automating knowledge work.
28:26 Integration with Bing allows direct web connectivity.
33:27 Update: ChatGPT available without account.
38:02 Advantages of ChatGPT Plus
41:46 Copilot Pro enhances Microsoft 365 functionality for users.
42:46 Microsoft-centric tool, except for Teams integration.
48:57 GPT4 benchmarks old, still better than others.
51:42 PDF or GPT upload varies by performance.
54:31 ChatGPT upcoming features
56:25 Paid and free user input improves ChatGPT.

Topics Covered in This Episode:
1. Recent ChatGPT Updates
2. Free ChatGPT vs ChatGPT Plus
3. Limitations of Free ChatGPT
4.  Advanced Features of ChatGPT Plus
5. ChatGPT Plus vs Other Platforms
6. Speculations about Future Versions of ChatGPT

Keywords:
OpenAI, ChatGPT technology, GPT technology, free version of ChatGPT, paid version of ChatGPT, GPT-4 Turbo, UDO AI music generator, Suno, Amazon generative AI, Andy Jassy, Google Cloud event, enterprise AI models, AI integration in Google Meet, memory recall of ChatGPT, GPT tokens, custom GPTs, confidential documents, knowledge cut-off, ChatGPT 4 Turbo, large language models, integrations in ChatGPT, data analysis, code interpreter, OCR, DALL E image generator, Microsoft Copilot, Perplexity, beta features in ChatGPT

How should you view Artificial Intelligence? Can it be your new best friend, helping you with every task of your day? Or, could it be a legit nightmare and tech terror? Sheetal Rishi, AI Transformation Leader, joins us to help you understand the steps to take to make sure that Generative AI is more friend than foe.
 
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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Sheetal questions on AI

Related Episodes:
Ep 224:  AI and its Impact on Society: How it might look
Ep 206: There is No AI Hype ? This is how the world works now

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
01:20 Daily AI news
05:00 About Sheetal Rishi
09:24 AI adoption growing, democratization of technology capabilities.
12:26 Technology can generate answers from various sources.
14:28 AI infrastructure costs have decreased significantly.
19:16 Use machine for tasks, elevate your value.
22:57 Enterprises seek change, face resistance and innovation.
26:24 Emphasize enterprise-approved technology for faster data access.
27:53 AI must be embraced strategically to benefit.

Topics Covered in This Episode:
1. Evolution and democratization of AI technology
2. AI in the Corporate Sector
3. AI in Education and Skills
4. AI Integration in Daily Life
5. AI's Disruptive Influence

Keywords:
AI technology, evolution of AI, democratization of AI, electricity impact, individual AI adoption, enterprise AI adoption, data literacy, barriers to AI implementation, conversational systems, AI infrastructure cost, business transformation, Watson's AI success, AI potential threat, corporate challenges, GitHub Copilot, Power BI, Google's features, innovation in enterprise, enterprise education, job security, human and AI coexistence, change management, generative AI, legacy enterprises, fusion strategy, Tesla, artificial intelligence, machine learning, deep learning.

Whether you're browsing social media or searching the web, there's so much bad advice out there about ChatGPT. We're cutting down the rumors about what ChatGPT is and how to use it. Here's a beginner's guide on knowing who to trust around Large Language Models.

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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on ChatGPT

Related Episodes:
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Ep 109: LLM Showdown ? ChatGPT, Bing Chat, Google Bard, Claude 2 and Perplexity

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
02:00 Daily AI news
05:45 Lots of bad info around ChatGPT
08:00 Comparing Copilot and ChatGPT as similar
11:45 ChatGPT generates diverse outputs from similar inputs
13:40 Comparison of human and ChatGPT writing styles
17:08 Stop sharing incorrect GPT technology usage screenshots
22:40 trained AI outperformed human.
27:35 Ignore exaggerated prompts, focus on authentic communication.
32:26 Words analyzed by OpenAI's tokenizer.
35:29 Free ChatGPT like landline, GPT4 like smartphone.
36:29 Zapier enables custom GPT, data integration, workflow.

Topics Covered in This Episode:
1. Overview of ChatGPT
2. Misconceptions around ChatGPT
3. Usage of Generic Business Prompts
4. Superiority of Large Language Models
5. Risks of Sole Reliance on Tools like ChatGPT with Bing

Keywords:
Chat GPT, ChatGPT Plus, GPT4, generative AI, large language models, NVIDIA GeForce RTX GPU, Free daily newsletter, outdated data, Bing, Jordan Wilson, Nike slogan writer, ChatGPT with Bing, SEO manipulation, Everyday AI podcast, GPU giveaway, US government semiconductor investment, copywriting, AI applications, custom-built ARM processor, Axion, Google Workspace, prime prompt polish chat GPT course, Lewis testimonial, business prompts, misleading information, refining large language model, tokenization of words, refine queue, zero-shot prompting, career growth.

Is Google really going to charge money for AI search? Will job loss be so bad that we'll need to be saved by....big tech? And is AI music actually so good that the world's biggest musicians are worried? We'll be talking about that and more on Everyday AI's news that matters for the week of April 8, 2024.

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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI

Related Episodes:
Ep 191: AI Search Takeover ? The End of Traditional SEO + Web Browsing?
Ep 207: AI Will Allow Us All to Make Music We Enjoy

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
01:50 Google introducing AI search with new ad formats.
07:51 Startup seeks funding for integrating AI into devices.
11:54 Claude's new tool will change global usage.
15:09 Musicians and authors unite against AI threats.
18:59 OpenAI, copyright, and lawsuits in tech companies.
22:12 Major tech companies form AI workforce consortium.
28:02 AI transformative, impacting workforce; JPMorgan embraces evolution.
30:10 Companies shifting stance to embrace generative AI.

Topics Covered in This Episode:
1. Google's proposed idea of charging for AI-based search.
2. AI in the Music and Writing Industries
4. Big tech companies forming a consortium targeting job loss due to AI.
3. JPMorgan Chase?s new position on generative AI.

Keywords:
Jordan Wilson, Ken, large language models, VC money, Anthropic AI, Claude AI models, Opus model, AI music generation tools, Billie Eilish, Nicki Minaj, Katy Perry, James Patterson, Suzanne Collins, AI news, Google, AI-based search, search generative experience, Jony Ive, Sam Altman, OpenAI, JPMorgan Chase, generative AI, ChatGPT, tech industry, Spotify, Apple Podcasts, copyright law, lawsuit, Adobe, tech layoffs.

If you're a fast-growing company needing to leverage all that Generative AI has to offer, the last thing you want is a vendor lock-in. Or, finding out the AI solution you thought you needed doesn't actually have the juice you need. One solution? Amazon Web Services (AWS). We sit down and talk all things AI models with Shruti Koparkar, Product Marketing Lead, AI/ML Acceleration at AWS.

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Join the discussion: Ask Jordan and Shruti questions on GenAI and AWS

Related Episodes:
Ep 238: WWT?s Jim Kavanaugh Gives GenAI Blueprint for Businesses
Ep 232: Creating and Capturing Business Value with GenAI ? Insights From HPE

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
01:20 About Shruti Koparkar and AWS
02:50 More on AWS and Generative AI
09:54 X-rated computing used to fine-tune models.
12:46 Adobe focused on AI tools, using AWS.
17:50 AI evolution and AWS preparedness for influx.
21:01 Experienced ARM engineer excited about NVIDIA's potential.
24:08 Identify use cases for small-scale applications.

Topics Covered in This Episode:
1. AWS and its Role in Generative AI
2. AWS and Foundation Models
2. AWS's Involvement with Companies Implementing Generative AI
4. Future Preparations of AWS for Generative AI Developments

Keywords:
generative AI, industry insider, Everyday AI, podcast, livestream, newsletter, AWS, Shruti Koparkar, product marketing, x rated computing, NVIDIA GPUs, Amazon Web Services, cloud computing, foundation models, Amazon Bedrock, API, Amazon SageMaker, customizing models, data security, ChatGPT, Perplexity, Amazon Code Whisperer, Adobe, ARM, Leonardo dot ai, apps, NVIDIA GTC conference, accelerated computing

If I had to count, I probably use Generative AI at least 100 times a day.  Some are advanced. Some are super simple. I'm going to be sharing some of the simplest ways that I use Generative AI to create Everyday AI and tell you the ways that you can use my same tactics to start winning back time today.
 
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Learn more in today's newsletter
Join the discussion: Ask Jordan questions on AI

Related Episodes:
Ep 189: The One Biggest ROI of GenAI
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
01:30 Daily AI news
07:17 Knowledge workers adapt to succeed in AI era.
10:44 Behind the scenes of Everyday AI production.
18:21 Steal this method to learn about your career.
19:10 Customize Google search for efficient news updates.
23:01 Using shortcuts to gather information efficiently.
27:15 Using CastMagic and its features.
29:13 Automated transcription
33:57 Microsoft 365 Copilot helps with team work.
37:05 Addicted to Chrome, but now liking Edge.
40:20 Request to find specific generative AI statistics in PDF.
44:17 Chat prompt reused for specific AI training.
45:02 Optimize chat model use with refined method.
50:12 Use perplexity for efficient research queries, not Google.
52:03 Generative AI can save knowledge workers time.

Topics Covered in This Episode:
1. Practical uses of Generative AI
2. Tips for saving time using AI
3. Summarizing web pages for quick updates
4. Organizing and training ChatGPT for specific tasks

Keywords:
Microsoft 365 Copilot, Microsoft 365 Teams, Cast Magic, Chat GPT, Microsoft Edge, Chromium, Chrome Extensions, Copilot Integration, Perplexity, Google Search, Generative AI, McKinsey Digital, AI News, Amazon Web Services, Voila, Organizing Chat GPT, AI in Research, Custom Prompts, Knowledge Workers, New York City AI-powered Chatbot, Google's AI Reply Suggestions, Premium AI Features, AI Automation, Chat GPT Summaries, AI Content Generation, Everyday AI, AI News Headlines, Third-Party Information Connection, Bullet Points Summaries, Web Content Summarization.

An underutilized superpower of generative AI? The way it can completely change how research is done. So how is AI impacting academic and scientific research and what tools are out there to help? Avi Staiman, Founder of sciwriter.ai, joins us to discuss AI tools to supercharge your research.

 
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Related Episodes:
Ep 89: AI?s Role in Responsible Research
Ep 121: Faster and More Accurate Results From ChatGPT with ScholarAI

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Timestamps:
01:20 Daily AI news
05:16 Simplify writing process for academic researchers with AI.
07:36 Democratization of science and skepticism in society.
10:33 ChatGPT has diverse data sources, impacts reliability.
18:36 AI researchers responsible for high standard, education.
19:32 Using AI in research
22:37 AI tools improving accessibility and accuracy.
27:30 Explore pain points, offer AI research tools.
31:17 Questioning scientific studies, AI's importance emphasized.
35:05 Encourage critical thinking when using AI tools.
37:18 AI can enhance research and understanding information.

Topics Covered in This Episode:
1. Importance of Research Accessibility and Transparency
2. Utilizing AI Tools in Research and Writing
3.  Integrity and Reliability of AI-Generated Content
4. Responsible Use of AI and Source Attribution
5. Problems of AI-generated Content in Research

Keywords:
skepticism around science, accessibility in research, transparency in research, AI tools, democratization of research, research integrity, research reliability, research fraud, misuse of AI tools, scientific literature, attribution in research, Jordan Wilson, ChatGPT, Sykespace, Illicit, Sciwriter, academic writing, AI Tool Up Tuesdays, curated content, Everyday AI, academic research, CodeRepair, Stable Audio 2.0, peer-reviewed journal article, publish or perish pressure, Consensus Scholar AI, Perplexity, Proofig, Image Twin.

Is your company banning AI? If so, they should prepare to shut down. When ChatGPT started the GenAI wave about 18 months ago, so many companies, enterprises, and universities made brash decisions. Instead of understanding it and using it to grow, they banned it. Here's why that's wrong.

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Related Episodes:
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Ep 200: 200 Facts, Stats, and Hot Takes About GenAI ? Celebrating 200 Episodes

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Timestamps:
02:30 Daily AI news
07:40 Banning AI? Company will fail.
11:18 Banning generative AI is like banning the Internet.
14:53 Companies followed JPMorgan in banning generative AI.
18:12 Need to embrace generative AI, prioritize security.
21:28 Trust employees with internet, extend trust to AI.
24:23 85% boost in productivity, embrace data security.
30:51 Industry giants will be overtaken by younger competitors.

Topics Covered in This Episode:
1. Consequences of Banning Generative AI
2. Importance of Adapting to New Technologies
3. Generative AI and Data Security
4. AI Legal Implications and Regulatory Compliance
5. Productivity Benefits and Risks of AI

Keywords:
Everyday AI, consequences of banning generative AI, failure of companies, industry concerns, sensitive data concerns, innovation, Blockbuster, Blackberry, Sears, technological changes, AI implementation, AI strategy, fear of generative AI, embrace generative AI, data security measures, cloud storage, email, misinformation, intellectual property issues, legal implications, regulatory compliance, productivity benefits, adaptation, VHS and DVD companies, online shopping, bankruptcy, Cisco Data Privacy Benchmark Study, restriction on generative AI, ChatGPT.

Have you seen the latest Apple rumors regarding AI? What does the $100-billion Stargate partnership between Microsoft and OpenAI actually mean? And will NVIDIA's competitors be able to catch them after forming the UXL Foundation? Here's this week's AI news that matters!

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Related Episodes:
Ep 201: Apple Vision Pro ? The AI-powered product that (hardly) no one needs
Ep 236: NVIDIA GTC Recap ? 3 ways NVIDIA is going to change the AI world

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Timestamps:
02:15 Apple to reveal AI strategy at WWDC.
04:45 Apple likely partnering with OpenAI or Google.
09:54 Stargate to host powerful AI chips, meeting demand.
12:56 Big investment in AI chips and infrastructure.
19:45 Partners granted early access to OpenAI's voice engine.
26:21 NVIDIA's rapid growth and innovation.
27:03 NVIDIA's new chip outperforms competition, unites rivals.

Topics Covered in This Episode:
1. Apple's AI strategy
2. Microsoft and OpenAI's AI Supercomputer Project
3. OpenAI's New Voice Engine
4. Collaboration between tech giants to counter NVIDIA.

Keywords:
OpenAI, Voice Engine, clone voices, privacy implications, misuse of AI voice technology, US government, AI regulation, bans on AI voice cloned robocalls, Intel, Google, ARM, Qualcomm, Samsung, Unified Acceleration Foundation (UXL), NVIDIA, AI market domination, proprietary tech, hopper chip, Blackwell chip, super team, 2013 Miami Heat, Jordan Wilson, generative AI, Apple AI strategy, Siri, Apple's Iwork apps, AI supercomputer, Stargate, $100 billion project, Microsoft

How will AI change the way we shop online? Whether you own an e-commerce business or not, AI is changing the entire online shopping experience and will have an effect on all of us. Jo Lambadjieva, Founder of Amazing Wave, joins us to discuss how AI is impacting e-commerce.

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Related Episodes:
Ep 82: Using AI To Grow Your E-commerce Presence

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Timestamps:
01:50 Daily AI news
05:00 About Jo and Amazing Wave
07:37 AI's impact on e-commerce
10:35 AI changes consumer behavior in searching/browsing
14:10 Amazon Rufus and user experiences.
19:42 AI enhances business productivity and product development.
22:39 AI revolutionizes e-commerce through customer persona understanding.
25:16 AI-generated content may erode customer confidence.
29:15 Prepare for major changes in online shopping.
30:44 AI impact on email and e-commerce discussed

Topics Covered in This Episode:
1. Current State of AI in E-commerce
2. Democratization of E-commerce
3. Behavioral changes of customers due to AI
4. Importance of Customer Persona in AI
5. Future Predictions of AI in E-commerce

Keywords:
AI in e-commerce, Jo Lambadjieva, e-commerce automation, customizing customer experience, e-commerce sellers, content targeting, democratization of e-commerce, AI backlash, optimizing processes, Amazon stores, data analysis, process automation, ChatGPT, Zapier integrations, customer journey, Amazon AI, PPP course, ChatGPT course, e-commerce professional, online consumer behavior, Google's search generative experience, Amazon's chatbot Rufus, online shopping behaviors, AI news, AI chatbot Grok, AI startup Anthropic, White House AI guidelines, AI's impact on e-commerce, human touch in AI use, AI-generated content.

Businesses are trying to figure out the best way to implement GenAI. One company that has it figured out? World Wide Technology. WWT's CEO Jim Kavanaugh, is laying out their GenAI blueprint for business implementation. 

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Related Episodes:
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Ep 146: IBM Leader Talks Infusing GenAI in Enterprise Workflows for Big Wins

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Timestamps:
01:30 About WWT and Jim Kavanaugh
06:59 Connecting with users for effective AI.
10:06 Advantage of working with NVIDIA for digital transformation.
13:10 Discussing techniques and client example.
18:35 CEOs implementing AI, seeking solutions.
20:46 Creating awareness, training, and leveraging technology efficiently.
25:27 AI increasingly important, impacts all industries' outcomes.
27:18 Use secure, personalized language models for efficiency.
32:32 Streamlining data access for engineers and sales.
35:42 CEOs need to prioritize technology and innovation.
37:02 NVIDIA is the game-changing leader.

Topics Covered in This Episode:
1. Impact of Generative AI
2. Role of GenAI in World Wide Technology
3. AI Adoption for Business Leaders
4. Large Language Models and AI Impact
5. Challenges in the Generative AI Space
6. Organization Culture and AI Implementation

Keywords:
generative AI, challenges of AI implementation, Jim Kavanaugh, CEO, Worldwide Technology, digital transformation, value-added reseller, professional services, comprehensive solution, AI strategies, NVIDIA, OpenAI's ChatGPT, large language models, GenAI, Advanced Technology Center, data aggregation, real-time data access, intelligent prompts, business leaders, AI technologies, data science, Jensen and NVIDIA, multimodal languages, AI-first organization, financial performance, go-to-market strategies, software development efficiency, RFP process

If you want a successful business in the age of AI, you need to be able to collaborate in real-time. With the combination of COVID and generative AI, the way we work has completely changed. Zoom's CPO, Smita Hashim, joins us to discuss how AI is changing real-time collaboration.

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Related Episodes:
Ep 146: IBM Leader Talks Infusing GenAI in Enterprise Workflows for Big Wins
Ep 216: How to stand out in a world filled with AI startups ? Insights from Taplio CTO

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Timestamps:
01:45 About Smita and her role at Zoom
05:30 How real-time collaboration has changed.
10:12 Generative AI has transformative, practical possibilities.
11:30 Zoom announces new Zoom Workplace features
17:54 Zoom AI companion streamlines data for efficiency.
21:30 Next steps for AI and real-time collaboration

Topics Covered in This Episode:
1. Importance of Real-Time Collaboration
2. Zoom Enterprise Connect event
3.  New Zoom Workplace Features and AI Integration
4. Future of Real-Time Collaboration and AI

Keywords:
Generative AI, Real-time collaboration, Remote working, Hybrid working, Zoom, Chief product officer, Enterprise Connect, Microsoft Teams, Google Meet, Video communication, Zoom Workplace, Zoom AI companion, Productivity, Whiteboard functionality, Docs collaboration, Meetings summarization, Chats summarization, Zoom phone, Flexible work, Information overload, Data privacy, Total employee experience, Content production tool, Productivity software suite, Customer engagement, Multimodal, Security, Immersive reality, Augmented reality, Employee engagement

NVIDIA's announcements from its GTC conference will change the AI world. We partnered with NVIDIA and were at the conference all week. We're breaking down all the big headlines and explaining what it means for the future of AI.

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Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/

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Related Episodes:
Ep 234: Driving the Future ? NVIDIA?s Vision for AI-powered Transportation
Ep 233: Robots Among Us ? How NVIDIA is building the future of robotics

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Timestamps:
01:50 Daily AI news
08:19 Powerful GPUs are crucial for generative AI.
09:42 NVIDIA dominates GPU market with powerful technology.
15:58 2024: Year of generative AI, compute shortage.
19:34 Generative AI implementation expected to surge in 2024.
22:52 Partners investing in NVIDIA for compute tech.
26:32 Simulations revolutionize manufacturing process with accessible technology.
28:56 Predicting audience reaction based on data analysis.
33:41 NVIDIA's Gr00t system revolutionizes robot manufacturing.
36:33 AGI, humanoid robots with language models approaching.
38:25 Insights on robotics and AI at GTC conference.

Topics Covered in This Episode:
1. Nvidia?s Developments and Innovations
2. Nvidia?s Role in Changing AI Ecosystem
4. Benefits and Application of AI-powered Simulations
5. Nvidia?s Involvement in Robotics
6. Speculations and Aspirations for AGI

Keywords:
NVIDIA, GPUs, Blackwell system, NIMS, NEMO, NVIDIA AI Foundry, Omniverse, Isaac robotics, chipmaker, compute sweet spot, simulation-driven world, humanoids, AGI, digital twin, product simulation, service simulation, Groot, robot manufacturers, Figur, Isaac Robotics platforms, artificial general intelligence, Jensen Huang, Fora, NVIDIA GTC conference, Jordan Wilson, generative AI, computational power, edge AI, local model running, MIT researchers.

Did Microsoft just make the biggest AI power move? Can you play chess using your brain with Musk's  Neuralink chip? What's happening with Stability AI? We're breaking down this week's AI news that matters.

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Related Episodes:
Ep 211: OpenAI?s Sora ? The larger impact that no one?s talking about

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Timestamps:
02:20 "Microsoft makes major AI power move"
06:29 Microsoft CEO dismisses OpenAI amidst controversy.
07:42 Microsoft's Nadella shows confidence in OpenAI.
10:48 Neuralink's patient demonstrates brain chip success.
13:10 Stability AI CEO resigns
15:00 Open Interpreter new AI device
21:40 OpenAI taking Sora to Hollywood
24:26 Virtual production to revolutionize filmmaking industry soon.

Topics Covered in This Episode:
1. Microsoft's AI Division and Leadership Changes
2. Neuralink's AI-Powered Brain Chip
3. Stability AI CEO Resignation
4. Open Interpreter O1 AI device
5.  OpenAI's Sora in Hollywood

Keywords:
Microsoft AI division, Mustafa Suleiman, Inflexion AI, Karen Simeon, OpenAI, Sam Altman, Nadella, Neuralink chip, chess, stability AI, CEO resignation, hardware device, Open Interpreter, Sora, text-to-video technology, Hollywood, GPT technology, Lex Fridman podcast, Tyler Perry, AI disruption, Hollywood studios, film industry, AI video, personalized videos, Pixar, NVIDIA GTC, San Jose, CEO Jensen, GPU technology, workshops, AI content.

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Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/

You might think the auto industry hasn?t changed since the Model T.  There?s a lot going on under the hood, though. Especially with AI revving its engine now louder than ever. So what?s next in the auto industry with so much new AI tech behind the wheel? That?s exactly what we?ll be discussing with Danny Shapiro, NVIDIA?s Vice President of Automotive. 

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Timestamps:
00:00 About Danny and his role at NVIDIA
04:29 NVIDIA transforms into automotive-grade company with innovation.
08:48 Constant need for computing power for safety.
12:09 Testing autonomous trucks in Texas using simulation.
15:00 Collaboration in design and virtual simulations.
16:44 Future of automotive technology.
23:51 Phone-like software updates bring joy to vehicles.

Topics Covered in This Episode:
1.  NVIDIA's Role in the Automotive Space
2. Impact of Increased Computational Power in Vehicles
3. Impact of Generative AI in Vehicles
4. Automotive Simulations and Safety Measures
5. Future of Transportation

Keywords:
AI, transportation, future, self-driving, flying cars, automotive, NVIDIA, GTC conference, safety, supercomputing, autonomous vehicles, automotive industry, generative AI, connected cars, software updates, Blackwell architecture, Omniverse, digital twins, simulation, language models, perception algorithms, manufacturing, end-to-end approach, design, engineering, virtual test drive, service and maintenance, highway autopilot, urban autopilot, valet parking

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Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/

AI + Robots ? is it just science fiction? Or, could the intersection of AI and robotics change our daily lives WAY sooner than we?d expect? We find out with Amit Goel, the Director of Robotics at NVIDIA, a global leader in the robotics industry.

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Timestamps:
01:30 About Amit and NVIDIA robotics
04:11 Large language models and consume data teach robots.
06:20 NVIDIA's role in robotics at GTC conference.
10:38 Public perception of robotics and humanoid future.
14:47 Robots and AI replacing human tasks concern.
15:49 Robotics tasks, automation, and train workforce.
20:44 Keynote discusses faster computing's impact on industries.
23:51 Large language models enable natural language interaction.
27:03 Excited about improving existing robots with AI.

Topics Covered in This Episode:
1. Robotics and AI Advancements
2. Public Perception Towards Robotics
3. Deploying Tasks to Robots
4. Use of Generative AI in Robotics
5. NVIDIA's Role and Impact in Robotics

Keywords:
Robotics, NVIDIA, GTC conference, Amit Goel, AI, large language models, generative AI, simulation technology, computing power, embedded products, Yaskawa, digital twin, industrial robots, manufacturing, logistics, Boston Dynamics, humanoids, human-robot interaction, automation, IT systems, operations, traditional robotics, Graphics, chat GPT, Blackwell, data, real physical implementation, robot-specific language, Groot model, public perception.

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Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/

Every business leader is wondering: How can you create value company-wide with Generative AI? And how can you actually capture that value and show the impact?
Evan has some answers. Evan is the General Manager and VP for AI Solutions & Cloud at Hewlett Packard Enterprise.

Join us as we get answers from an HPE leader in the GenAI Enterprise space as part of our partnership with NVIDIA at the NVIDIA GTC conference.

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Timestamps:
00:00 About Evan and HPE
05:11 Blindly trusting tools leads to data leaks.
08:40 Enterprise search evolving to synthesize and respond.
10:46 Cloud providers and software vendors handle basics
13:47 Genai tools make analysts more efficient, valuable.
16:18 Data is essential for significantly better models.

Topics Covered in This Episode:
1.  Creating value in business with generative AI
2. Adoption and Effectiveness of Generative AI
3. Customer and Industry Involvement
4. Pitfalls and Successes with Generative AI
5.  HPE Collaboration with NVIDIA

Keywords:
generative AI, business value, ChatGPT, language models, NVIDIA GTC conference, AI Solutions, HPE, hardware, infrastructure, enterprise customers, computer vision, deep learning, NLP, generative AI, customer experience, retailer, search, mobile app, data security, privacy, cost, small model, large language model, AI workloads, cloud, data centers, RAG, enterprise search, document store, software, microservices, venture, data, moat

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Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/

AI is being used in about every facet of the financial industry. A company you might not know helping power the entire industry forward? NVIDIA. And Malcolm deMayo is a key player making it all happen. Malcolm is NVIDIA?s Global Vice President of the Financial Services Industry. Tune in as he gives us the behind-the-scenes of the AI-powered money moves that NVIDIA is making. 
 
This is a special in-person interview in partnership with NVIDIA and their NVIDIA GTC Conference.

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Timestamps:
00:00 About Malcolm and his role at NVIDIA
05:28 Generative AI is a game changer.
06:38 Financial firms must embrace technology for success.
12:43 Generative AI's role in financial sector risk.
14:15 Financial firms adopting NVIDIA's compute platform.
19:42 NVIDIA's impact on financial institutions through digitization.
22:02 Firms aiming to build our amazing tech.
24:06 Server providers build and offer trading data.

Topics Covered in This Episode:
1. NVIDIA's Platform and Partnerships in Financial Services
2.  Application of Generative AI in the Financial Sector
3. Challenges and Risks in Adopting Generative AI
4. Future Outlook and Developments in Generative AI

Keywords:
NVIDIA, AI, computer graphics, financial services, AI applications, generative AI, GTC conference, San Jose, California, GPU, microprocessor, strategy, partnerships, Lighthouse customers, ecosystem partners, hyperscalers, deep learning, financial firms, generative AI implementation, chatGPT, AI technology, accelerated compute platform, data analysis, customer experience, AI adoption, AI infrastructure, executive briefing center, upskilling, AI factory, Jensen's keynote, AI development

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Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/

Should we be worried about what OpenAI said about Sora? What does Google's new video game-playing model mean about agents? (Almost) Every week, we dive deep into the AI news and developments to help you keep up with what really matters.

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Related Episodes:
Ep 211: OpenAI?s Sora ? The larger impact that no one?s talking about

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Timestamps:
01:50 Google DeepMind enters the world of AI agents.
03:56 OpenAI Sora data concerns
09:40 Apple develops multimodal language model in 3 sizes.
14:42 Generative AI breakthrough in smartphone productivity discussed.
20:18 Free GPU chip giveaway
25:36 Inadequate multitasking skills; admiration for AI capabilities.
27:39 NVIDIA GTC AI event with industry leaders and breakthroughs.

Topics Covered in This Episode:
1. Google DeepMind's New AI Model, Sima
2.  Scrutiny Around OpenAI's Sora Model
3. Figure 01, by OpenAI and Figure
4. Apple's New Large Language Model, MM1

Keywords:
Figure AI, real-time conversations, ChatGPT, large language model, OpenAI, NVIDIA, GTC conference, San Jose, California, AI advancements, keynote, CEO, AI in financial services, generative AI, robotics, AI-powered transportation, GPU giveaway, Apple, m m one, multimodal large language model, image recognition, natural language reasoning, Google's Gemini, GPT 4, edge computing, on-device AI, Siri, iPhone, former employees of OpenAI, Boston Dynamics, Tesla, Microsoft, humanoid robots, visual recognition, Tesla's Optimus bots, Google DeepMind, Sima, video games, natural language instructions, video game studios, agents, smart AI, SoRA, text to video model, training data accuracy.

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Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/

We always hear how much AI and tools like ChatGPT have helped the everyday person. But besides the day-to-day work, AI can also help those that are neurodivergent. Maureen N. Dunne, Ph.D., Educator, Entrepreneur, and Author, joins us to discuss the positive impact AI has on Neurodiversity. 

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Related Episodes:
Ep 224:  AI and its Impact on Society: How it might look
Ep 213: AI Meets Doctors ? Turning Healthcare from a Service to a Product

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Timestamps:
01:45 About Dr. Maureen and her work
04:15 Neurodiversity term coined to value diverse perspectives.
08:42 Neurodiversity, biases, and inclusive talent assessment strategies.
11:44 AI aiding cognition and productivity for neurodivergent.
14:28 AI empowering neurodiverse individuals through communication and learning.
17:48 Neurodiversity community valued for unique talents.
23:38 AI's impact on diverse thinking abilities emphasized.
25:36 Embrace neurodiversity and human-AI cooperation for innovation.

Topics Covered in This Episode:
1. Neurodiversity and AI
2. Challenges Faced by Neurodivergent Individuals in the Workplace
3. Positive Impact of AI on Neurodivergent Individuals
4. Future Implementations of AI in the Workplace

Keywords:
neurodiversity, ChatGPT, everyday AI, generative AI, neurodivergent, neurotypical, cognitive biases, inclusivity, workforce, AI integration, AI impact, AI applications, AI limitations, future of work, skill sets, complementary cognition, leveraging AI, organizational inclusivity, artificial intelligence, workplace challenges, productivity, innovation, cognitive diversity, cultural fit, leadership, human resources, cognitive approaches, organizational change, emerging technologies, interdisciplinary thinking

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Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/

There's one secret skill for more effective prompting! It's a skill set that we all have but not recognized as something you can use toward prompts. Even better, we have an OpenAI Ambassador here to help talk about prompting and how to do it effectively. Abran Maldonado joins us to discuss what that secret skill is and how you can use it for better results. 

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Related Episodes:
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Ep 194: 5 ChatGPT Facts You Might Not Know

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Timestamps:
01:55 Daily AI news
04:35 About Abran and being an OpenAI Ambassador
08:01 Access to future models, testing, providing use cases.
11:10 Engineers from diverse locations think quickly.
16:31 Proficiency with AI tools and Excel important
20:46 Elon Musk invented Neuralink for brain communication.
26:26 Imposter syndrome, calm down, noncoder perspective.
30:04 Excited for early access to custom GPTs.
30:51 Limiting Internet searching could impact ad revenue.
35:35 New technology levels the playing field.

Topics Covered in This Episode:
1. Abran's role and involvement with OpenAI
2. Secret Skill for Effective Prompting
3. AI and Communication Skills

Keywords:
Custom GPTs, Generative Pre-trained Transformers, personalized learning, department-specific GPTs, AI technology, practical advice, careers, AI news, Siri, Google Bard, OpenAI, AI ambassador, Create Labs Ventures, pandemic, prompt engineering, communication skills, prompt guidance, feedback, AI art, prompt engineering, GPT store, user feedback, Chat GPT, job seekers, AI-related skills, intent understanding, communication assistance, communication challenges, communication styles, AI communication bridge

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AI can be ugly. But it can also be beautiful. Literally. Like when AI is used in the beauty industry. Wayne Liu, President and Chief Growth Officer at Perfect Corp, joins us to talk about how AI is changing the beauty industry.

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Join the discussion: Ask Jordan and Wayne questions on AI in the beauty industry

Related Episodes:
Ep 207: AI Will Allow Us All to Make Music We Enjoy
Ep 213: AI Meets Doctors ? Turning Healthcare from a Service to a Product

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Timestamps:
01:45 About Wayne and Perfect Corp
05:51 Experimenting with generative AI in fashion simulation.
06:51 Discussion on virtual beauty technology.
09:15 AI and medical education
16:25 AI images shaping societal perception of beauty.
23:54 AI helps choose products suitable for skin.

Topics Covered in This Episode:
1. AI in the Beauty Industry
2. About Perfect Corp
3.  Future of AI in the Beauty Industry
4. AI's Broader Medical Applications

Keywords:
AI impact on beauty industry, artificial intelligence, future of AI in beauty, generative AI, leveraging AI, daily livestream podcast, newsletter, virtual try-on, makeup, skin analysis, medical field, deep learning, machine learning, shade matching, skin tone, simulation, GAN, stable fusion, fashion, 3D object, personalization, societal impacts, augmented intelligence, return on investment, user experience, sustainable beauty, responsible AI, social responsibility, education, beauty industry trends.

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One group that can really benefit from generative AI is nonprofits. So what are the barriers, and how can nonprofits leverage this cutting-edge tech while still respecting donor data and keeping trust with stakeholders? Nathan Chappell, Chief AI Officer at DonorSearch AI, joins us to discuss how we can use AI responsibly. 

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Join the discussion: Ask Jordan and Nathan questions on AI and nonprofits

Related Episodes:
Ep 105: AI in Fundraising ? Building Trust with Stakeholders
Ep 148: Safer AI ? Why we all need ethical AI tools we can trust

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Timestamps:
01:50 About Nathan and DonorSearch AI
05:52 Decreased charity giving, AI aids nonprofit efficiency.
09:39 AI enhances nonprofit efficiency, prioritizes human connections.
13:35 Nonprofits need to embrace AI for advancement.
16:22 Use AI to create engagement stories, scalable.
18:59 Internet equalized access to computing power.
25:02 Nonprofits rely on trust, need responsible AI.
29:52 Ensuring trust and accountability in generative AI.
33:35 AI is about people leveling up work.
34:16 Daily exposure to new tech terms essential.

Topics Covered in This Episode:
1. Impact of Generative AI for Nonprofits
2. Digital Divide in Nonprofit Sector
3. Role of Trust in Nonprofits and responsible AI usage
4. Traditional Fundraising vs. generative AI
5. Future of AI in Nonprofits

Keywords:
Nonprofits, generative AI, ethical use of AI, Jordan Wilson, Nathan Chappell, DonorSearch AI, algorithm, gratitude, machine learning, digital divide, AI employment impact, inequality, LinkedIn growth, Taplio, trust, Fundraising AI, responsible AI, AI explainability, AI accountability, AI transparency, future of nonprofits, AI adaptation, predictive AI, personalization, data for donors, generosity indicator, precision and personalization, AI efficiency, human-to-human interaction, AI tools.

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Jason Feifer says we should use AI to break things. Might sound abrupt. But it?s sound advice coming from one of the leading voices in entrepreneurship and business. So how can we use AI to break things? We give a step-by-step guide.

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Join the discussion: Ask Jordan and Jason questions on AI and innovation

Related Episodes:
Ep 196: The Silent AI Productivity Killer ? Why companies can?t fully leverage AI
Ep 216: How to stand out in a world filled with AI startups ? Insights from Taplio CTO

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Timestamps:
01:30 About Jason and Entrepreneur Magazine
03:15 Break things that are already broken - what it means
09:20 Questioning familiar systems, seeking improvement through change.
11:18 AI tools streamline tasks, freeing time.
14:46 First interactions with AI
18:15 AI opportunities and caution in market focus.
20:23 Develop systems for desired outcomes, AI's role.
25:31 Belief in fixed work, worker ratio fallacy.
26:37 New technology leads to economic shifts and innovations.
30:46 Adapt to change for future job fulfillment.

Topics Covered in This Episode:
1. AI's Impact on Traditional Business Processes
2. Viewpoints on Business and AI
3. Future of AI in Business and Everyday Life
4. Jason Feifer's Stance on AI and its Potential for Transformation
5. Impact of AI on Media Industry

Keywords:
AI, Jordan Wilson, Jason Feifer, antiquated business processes, challenging systems, property managers, generative AI, newsletters, business growth, creative expression, DALL E, Fathom, AI in business, consumer problems, Gartner hype cycle, microwaves, tech layoffs, entrepreneurship in AI, Entrepreneur Magazine, Jason Pfeifer, law, academia, student learning, AI advice, Everyday AI newsletter, job losses, economic shifts, lump of labor fallacy, automation, fast food kiosks.

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AI is going to have a huge impact on society. It already has impacted the labor market and other parts of society. Will AI be more disruptive than we think, or can it be an overpowering force for good? James Hodson, CEO of AI For Good Foundation, joins us to discuss the future of society with AI.

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Join the discussion: Ask Jordan and James questions on AI in society

Related Episodes:
Ep 202: The Holy Grail of AI Mass Adoption ? Governance
Ep 206: There is No AI Hype ? This is how the world works now

Next Episode: Break Things That Are Already Broken
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Timestamps:
01:40 About James and the AI For Good Foundation
04:33 International organization born from academic and policy community.
07:41 Economic development through technology and infrastructure.
11:01 Rethinking humanitarian aid and leveraging technology's potential.
13:25 Exploring AI's impact and potential economic disruption.
17:04 AI impact on labor market analyzed, adaptation needed.
20:45 Government role in technology shift and regulation.
25:25 Promoting AI audit program for ethical technology.
28:45 Reengaging economists and policymakers for economic shift.
33:17 Community resilience crucial for technology adoption and innovation.

Topics Covered in This Episode:
1. Role of AI in Global Development
2. Community-Driven Development and AI
3.  AI's Impact on Labor Market
4. Government Role in AI Implementation
5. Navigating AI-Driven Economic Changes

Keywords:
Artificial Intelligence, Global Development, Community-Driven Approach, Traditional Humanitarian Aid, Technology, International Involvement, Economic Fallout, Labor Market, Data-Driven Revolution, Policy and Decision Making, Rescaling Programs, Investments, Safety Nets, AI-driven Economic Shifts, Universal Basic Income, government assistance, engaging economists, US vs EU approaches, Healthcare System, Education Structure, Community Resilience, Tech Education, Innovation, High School and University Education, Government Involvement, Labor Market Protection, Human-Centric Approach, Nonprofit AI Audit Program, Technological Advancements, Gen AI Boom.

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Anthropic just released its new AI model Claude 3 and it's setting impressive standards. Is it better than other models like ChatGPT and Google Gemini? We're breaking down Claude 3 and showing you just how good it actually is.

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Join the discussion: Ask Jordan  questions on Claude 3

Related Episodes:
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Ep 204: Google Gemini Advanced ? 7 things you need to know

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Timestamps:
04:49 Claude 3 beats competitors in technical test.
07:07 Comparison of language models and market competition.
10:58 Math discussion on language model capabilities.
15:51 Opus demo allows interactive chart manipulation.
20:22 Claude, recent knowledge cut-off, warn against hallucinations.
25:13 Discussion about ocean poem and its style.
26:33 Math Riddles
32:13 Image recognition and text extraction capabilities demonstrated.
35:39 Standard business advice, focus on loyal audience.
38:46 Free NVIDIA conference in San Jose, virtual option.
44:07 Claude 3 Opus API improves interactivity and coding.
45:55 Claude 3 vs Chat GPT and Google Gemini

Topics Covered in This Episode:
1. About Anthropic Claude 3
2. AI Model Challenges and Tests
3. Discussion on Claude Opus API
4. Comparison of ChatGPT, Claude 3, and Google Gemini

Keywords:
San Francisco, California, Gen AI startups, funding, investors, valuation, revenue projection, Claude 3, Opus, SONNET, Haiku, task automation, data processing, customer interactions, computer vision, natural language models, NVIDIA conference, marketing plan, Jordan Wilson, Chat GPT, Google Gemini, Anthropic, AI challenges, AI poetry challenge, logic problems, AI newsletters, competitive landscape analysis, Claude Opus API, everyday AI, everydayai.com.

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Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/

When we talk about AI jobs, we normally think that AI is just taking our jobs. But that's not necessarily how it's happening in the real world right now. AI jobs are being dispersed all across the US. Anil K. Gupta, Michael Dingman Chair in Strategy, Smith School of Business, The University of Maryland, and Evan Schnidman, Co-Founder & CEO of Outrigger Group, join us to take a look at AI jobs in the US.

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Join the discussion: Ask Jordan, Anil, and Evan questions on AI jobs

Related Episodes:
Ep 132: Enterprise AI ? Future Careers and How to Prepare
Ep 106: Using AI to Land a New Career

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Timestamps:
01:40 Daily AI news
04:45 Intro to Anil and Evan and the
06:30 UMD LinkUp AI Map
11:16 Interactive map shows dispersion of AI jobs.
15:35 Key sectors for AI talent: finance, retail.
20:07 AI job growth surprises, emphasizes Washington DC.
23:16 Anil discusses AI's impact on future jobs.
27:18 Upcoming research will cover sectors, skills, geographies.
28:41 Universities can use data to uncover AI opportunities.
32:52 AI job growth expected to accelerate, then plateau.
35:02 Access company career pages for information. Use data portal to find geographical information.

Topics Covered in This Episode:
1. The UMD LinkUp AI Map Project
2. AI Workforce and Labor Market
3. Understanding AI Job Growth in Various Sectors
4. Dissecting the Job Landscape and the Rise of AI Jobs
5. Future of AI Jobs

Keywords:
AI Jobs, AI technology, Artificial Intelligence, Job market, Labor market data, LinkUp, Washington DC, AI job growth, Defense sector, Intelligence agencies, Technology companies, Banking, Insurance, Retail, Consulting firms, Deloitte, Accenture, John Deere, Caterpillar, Heavy equipment industry, UMD link up AI maps tool, Geographic dispersion, IT Jobs, Total employment, AI skills, Silicon Valley, Outrigger Group, UND Link Up AI Maps project, AI workforce, AI job opportunities.

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We're giving away a free YEAR of Taplio, our favorite AI-powered tool to grow on LinkedIn. ENDS tomorrow!
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Elon Musk is suing OpenAI and accusing the company of abandoning its mission in putting the public before profit. Does Elon have a point? Or is this just some useless drama? We're diving in and taking a look.

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Related Episodes:
Ep 181: New York Times vs. OpenAI ? The huge AI implications no one is talking about
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Timestamps:
02:35 Daily AI News
03:41 Tech companies prioritize responsible AI development and use.
08:49 Elon Musk raises valid points in lawsuit.
11:36 OpenAI 2015 founding, Musk's 2018 departure.
15:34 AI-powered suite discovers trending topics, creates content.
17:24 OpenAI has multiple layers and investments.
21:27 Elon Musk claims OpenAI breached founding agreements.
25:08 NVIDIA's GTC AI conference, giveaway, new model.
29:09 Elon Musk attacks Google and AI.
30:31 Elon Musk's lawsuit seeks to hinder competition.
34:34 OpenAI's public benefit argument is flawed.
37:23 Investment in profit-making ventures requires secure agreements.

Topics Covered in This Episode:
1.  Elon Musk's Lawsuit Against OpenAI
2. Background and Changes in OpenAI
3. Implications of OpenAI's Shift in Focus
4. Reactions and Predictions on the Lawsuit

Keywords:
Elon Musk, OpenAI, lawsuit, for-profit, closed source, artificial general intelligence, profit over humanity, tech companies, responsible AI development, AI startup, Anthropic, Cloud 3 series, AI models, Opus, GPT technology, Microsoft, Google Gemini, Access GPT, non-profit, Jordan Wilson, PR stunt, donatation, corporate structure, 501c3 nonprofit, LLCs, LPs, subsidiaries, breach of contract, GPT-4, NVIDIA

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Awesome Stuff From Our Partner, Taplio -
We're giving away a free YEAR of Taplio, our favorite AI-powered tool to grow on LinkedIn. ENDS tomorrow!
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Figure AI raises $675 million from Big Tech, Elon Musk sues OpenAI, and LTX Studio challenges Pika Labs. Here's this week's AI news that matters and why it's important to you.

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Join the discussion: Ask Jordan questions on AI

Related Episodes:
Ep 181: New York Times vs. OpenAI ? The huge AI implications no one is talking about
Ep 211: OpenAI Sora ? The larger impact that no one?s talking about

Tomorrow' Show: What the Elon Musk vs. OpenAI lawsuit actually means
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Timestamps:
03:05 Humanoid robot company Figure raises $675 million
06:40 OpenAI, Microsoft, Bezos, and NVIDIA are key partners for humanoid robots.
10:38 Humanoid robots could bring local manufacturing jobs.
11:45 Elon Musk sues OpenAI
16:37 Debate over Elon Musk's lawsuit against Twitter.
21:32 NVIDIA GTC conference in San Jose, March.
23:20 Lightricks launches LTX Studio - AI video tool
27:31 Challenges in creating consistent AI image tools.
31:00 Cost of new AI tools may rise.
35:40 Generative AI tools produce high-quality lifelike content.

Topics Covered in This Episode:
1. Figure Raises$675 million from Big Tech
2. Elon Musk Sues OpenAI
3. Lightricks releases LTX Studio - AI Video Tool

Keywords:
AI-powered apps, Facetune, Videoleap, LTX studio, AI video making, OpenAI, Pika Labs, lip syncing, AI characters, Alibaba, Emo Video, animated avatar video, Everyday AI, Jordan Wilson, Figures AI, humanoid robots, Azure Cloud Services, robot market projection, lawsuit, nonprofit transition, Elon Musk, Taplio giveaway, NVIDIA GTC conference, NVIDIA GeForce GPU giveaway, manufacturing jobs, LinkedIn for brand growth

How can we get more women in AI roles? It's an important conversation we need to have, especially in the IT and tech space in the US. Dona Fanara, VP of Women Impact Tech, joins us to discuss how we can rebuild the staffing industry and get more women into AI roles.

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Join the discussion: Ask Jordan and Dona questions on women in AI

Related Episodes:
Ep 127: How AI is Impacting All Aspects of HR
Ep 139: How To Transition to an AI-First World

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Website: YourEverydayAI.com
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Timestamps:
02:20 About Dona and Women Impact Tech
03:45 Why are tech roles skewed towards men?
09:39 AI roles need strong communication skills, gender differences.
13:45 Gender biases in tech require corporate action.
17:38 Encouraging creation of women-focused tech employee groups.
20:40 Seek practical tips for addressing systemic problems.
23:45 Support early education for women in AI.

Topics Covered in This Episode:
1. Getting More Women in AI Roles
2. Challenge of Gender Imbalance in AI and Tech Roles
3. Traits for Success in AI and Tech Roles
4. Advice for Women Breaking into Tech and AI Roles

Keywords:
women in AI roles, stereotypes, tech and IT roles, US, generative AI, newsletter, artificial intelligence, AI news, website, unbiased information, AI in career, AI in sales, AI in entrepreneurship, rebuilding the staffing industry, women in AI roles, Women Impact Tech, corporate partnerships, talent solution company, regional events, Chicago, San Francisco, New York, virtual events, membership program, job board, bias, technical roles, global, men, women, leadership roles, technologists

If you want better AI images and videos, sometimes you have to roll the dice and play the probability game. But you don't have to do it blindly. Tianyu Xu, Founder of TYAI, joins us to share secrets on how you can get better AI image and video results.

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Join the discussion: Ask Jordan and Tianyu questions on AI visuals

Related Episodes:
Ep 198: Midjourney V6 ? What?s new and producing powerful ad creatives
Ep 157: Future of AI Video ? Pika Labs 1.0, Runway updates, Meta Emu, and more
Ep 181: New York Times vs. OpenAI ? The huge AI implications no one is talking about

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Timestamps:
01:30 Daily AI news
04:15 About Tianyu and TYAI
09:44 Tianyu discusses starting simple with natural language.
14:24 Text-to-video models can generate short films.
18:23 Experiment with camera settings to optimize motion.
20:15 Using AI video generators to speed up processes.
24:43 Experiment results favor tilt up movement for video.
27:29 Creative rights ownership.
35:22 Emphasizing creativity and accessibility in utilizing technology.

Topic Covered in This Episode:
1. Unpredictability of generative AI visuals
2. Process of generating AI images and videos.
3. Organizing media outputs and importance of creative rights
4. Limitations and challenges in AI video and images

Keywords:
Generative AI, Image/Video Categories, Successful Images, Marketing Videos, AI Technology, Creativity in Businesses, Gradual Process, Pica Labs, Video Generation, Parameters, Video Quality, Consistency in Movement, Everyday AI, Open Source Language Model, Offensive AI results, Gemini AI, OpenAI, Copyright infringement, Market Research, Large Language Models, Text-to-Video Methodology, OpenAI Sora Model, Visual Projects, Prompts Reuse, Creative Rights, Embedding Text in Images, AI Limitations, CGI Animation, Long-Term Projects, Experimentation

You're using ChatGPT wrong. Sorry, but it's the truth. We'll tell you what you're doing wrong and cover everything we know about ChatGPT as of today. We're going over the 7 steps on how to actually use ChatGPT in 2024.

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Join the discussion: Ask Jordan questions on ChatGPT

Related Episodes:
Ep 194: 5 ChatGPT Facts You Might Not Know
Ep 179: Mastering Prompts With An OpenAI Ambassador ? The One Secret Skill Revealed

Tomorrow' Show: Roll the dice: Winning the probability game in AI visuals
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
03:40 Chat GPT high-level overview
08:39 Access existing GPTs, utilize ChatGPT Vision.
13:15 ChatGPT is superior to other language models.
16:22 Tokenize text, emphasizes need for communication clarity.
29:57 Experts caution against inadvertent use of GPT.
32:38 User highlights concern over ChatGPT's memory.
38:51 Grow brand on LinkedIn with Taplio efficiently.
44:05 Large language model gobbles up low-quality information.
50:12 Comparing expert chat training with GPT training.
53:07 Altman discusses improving GPT's reasoning abilities for future versions.
58:05 Enterprise versions handle data differently. Be cautious.

Topics Covered in This Episode:
1. Understanding ChatGPT
2. New Features in ChatGPT
3. Data Privacy and Security in ChatGPT
4. Future Directions and Advancements in Large Language Models

Keywords:
ChatGPT, Large language models, Tokenization, Generative AI, AI education, Business operating system, AI tool, Automating tasks, Everyday AI, Open AI, Google, Microsoft, Memory recall, Prompts, Plugins, New features, GPT store, ChatGPT Vision, Browse with Bing, Data analysis feature, Teams mode, Document upload, Memory personalization, GPT 4 Turbo, DALL E, Multi-modal default, Bing, Generative AI for business growth, Enterprise versions, Confidential data.

Everyone's an AI-powered startup nowadays. So how can you actually stand out and build a product or service that matters? Tibo Louis-Lucas knows a thing or two about building successful companies. He co-founded both Taplio and Tweethunter, two Saas products powered by AI that were sold for over $10 million. So how can your product or service stand a chance when just about everyone's an AI company? Let's dive in.
 
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Join the discussion: Ask Jordan and Tibo questions on AI and startups

Related Episodes:
Ep 196: The Silent AI Productivity Killer ? Why companies can?t fully leverage AI
Ep 126: Real Business Use Cases for AI

Tomorrow' Show: 7 steps on how to ACTUALLY use ChatGPT in 2024
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Timestamps:
02:00 Daily AI News
04:45 About Tibo and Taplio
07:15 Building Taplio
13:06 Unconventional partnership approach for growth.
15:30 Excitement for creator economy, small product acquisitions.
18:00 AI's capabilities and impact on startups
22:14 Pressure to keep up with rapid AI changes.
24:10 Opportunities for automation in companies, social media.

Topics Covered in This Episode:
1.  Leveraging AI in Startup Development
2. Successfully Building and Growing AI Startups
3. The Future of AI and Potential Product Development
4. Key Advice for Young Entrepreneurs

Keywords:
AI startup, stand out, generative AI, livestream, podcast, newsletter, Microsoft, Azure AI, Mistral, partnership, OpenAI, TechCrunch, European Commission, Apple, wearables, smart glasses, AirPods, Bloomberg, innovation, tech, science, culture, 11 Labs, Perplexity, Discover Daily, Tivo Louis Lucas, CTO, Taplio, tweet hunter, Lemnist, products, startups, video editing software, visualization AI.

ChatGPT Plugins are on their way out! Tyler Perry is putting his studio expansion on hold due to AI, and Google is making TONS of news right now! Here's this week's AI news that matters and why it's important.

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Join the discussion: Ask Jordan questions on AI

Related Episodes:
Ep 211: OpenAI?s Sora ? The larger impact that no one?s talking about
Ep 204: Google Gemini Advanced ? 7 things you need to know

Tomorrow' Show: How to stand out in a world where everyone can create an AI Startup?
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
03:42 Tyler Perry concerned about AI job loss.
07:22 OpenAI Sora video excels over other platforms.
12:54 11 Labs updated model, ChatGPT phasing out.
15:27  Plugin packs for ChatGPT.
16:55 Limitations on using multiple GPTs for now.
22:16 Unsatisfied with Google Gemini Enterprise integration.
23:13 Google and Reddit partnership for language models.
28:39 Google Gemini Images paused due to diversity concerns.
31:16 Google now has three Gemini models.
34:54 Best text-to-speech AI
37:11 AI content creation raises copyright concerns

Topics Covered in This Episode:
1. OpenAI's changes and future focus
2. Google's Significant AI content deal with Reddit
3. Google's AI model developments and issues
4.  Trends in AI utilization within the entertainment industry

Keywords:
OpenAI, GPT, AI agents, AI assistants, prime prompt polish program, Google, Reddit, AI content licensing deal, AI models, search engine, Gemini AI, large language models, user-generated content, university student data, Google Gemini Imagine 2, Gemma, Gemini Ultra, Gemini Pro, Gemini Nano, Tyler Perry, Sora, AI in entertainment, text-to-speech AI, business productivity, ChatGPT plugins, Well Said Labs, Asura, AI video platforms, Perry's studio expansion, AI regulation

When it comes to using AI, there's no limit to the ways businesses can use it for growth. But there probably should be some limits on how you implement AI. There's ethical considerations that you should keep in mind when using AI. Kelly Dowd, Senior Consultant, Innovation Lab at KPMG, joins us to discuss how to balance the ethics and innovation of AI.

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Join the discussion: Ask Jordan and Kelly questions on AI and ethics

Related Episodes:
Ep 165: Ethical Leadership for AI Implementation in the Workplace
Ep 138: AI for Good ? Strategies for Ethical and Sustainable AI Development

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Timestamps:
01:40 Daily AI News
04:40 About Kelly and KPMG
07:15 Companies adapting to AI
12:36 Companies embrace AI for effective, equitable hiring.
16:49 Technology adoption speeds up processes, requires transparency.
18:14 Communicate transparently, collaborate, and build ethical framework.
25:13 GDPR and CCPA provide control over personal data.
28:17 Assessing client's business, advising on AI adoption.
30:47 Government anticipation for ethical AI

Topics Covered in This Episode:
1. Essential Key Factors for AI Adoption
2. Personalization in Customer Experiences
3. Addressing Regulations in Different Regions
4. KPMG?s Approach Towards AI Adoption
5. Recommendations for Ethical AI Adoption

Keywords:
Kelly Dowd, Jordan Wilson, transparent communication, customer expectations, data collection, AI adoption, collaboration, regulatory bodies, AI experts, ethical framework, governance, GPT course, personalization, customer experiences, AR system, Sephora, privacy, ethics, data protection, GDPR, CCPA, KPMG, AI strategy, industries adopting AI, tech, healthcare, aerospace, fashion, generative AI, COVID-19 pandemic, business adaptation, Pentagonia, IBM, small and medium-sized businesses, customer-centric approach, stakeholders, transparency, Stable Diffusion 3, Stability AI, Apple, Chat GPT plugins, OpenAI, Innovation Lab.

What does the future of healthcare look like with the constantly growing world of GenAI? Will there be doctors? Are future doctor offices going to be run by AI? Adrian Aoun, Founder and CEO of Forward, joins us to discuss how AI is transforming Healthcare from a service to a product.

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More on this Episode: Episode page
Join the discussion: Ask Jordan and Adrian questions on AI and healthcare

Related Episodes:
Ep 199: Maximizing The Effectiveness of AI in Health Care
Ep 111: How AI is (and Will Be) Used in Healthcare

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
01:40 Daily AI News
05:05 About Adrian and Forward
06:51 Healthcare scaled by technology with data-driven treatment.
10:09 Health care system is not effective, disappointing.
16:18 Innovation in tools for doctors is crucial.
18:52 Giving up privacy could lead to longevity.
22:54 Forward enables rapid iteration and innovation.
24:57 Healthcare disparities.
28:25 Adrian's takeaway

Topics Covered in This Episode:
1. Evaluation of the US Healthcare System
2. Potential of AI in Healthcare
3. Insights into the Forward Platform
4. Future of Forward
5. Speculation on the future of AI and Healthcare

Keywords:
Adrian Aoun, Google, AI in healthcare, hub and spoke model, US health care system, technology in health care, proactive care, Jordan Wilson, Everyday AI Show, ethical considerations of AI, doctor and AI combination, privacy concerns in healthcare, prevention in healthcare, Forward's platform, mobile computing revolution, healthcare disparities, Forward clinics, CarePods, insurance and healthcare, home healthcare services, robot doctors, nurse-less healthcare facilities, Google's Gemini AI, NVIDIA earnings, dangers of deep fakes, OpenAI's Chat GPT, AI-driven healthcare pod, data in healthcare, treatment paths, employer-based health care.

Quality content can be hard but generative AI can help. One of the most underused aspects of GenAI is using it to take your voice and style and create multiple pieces of content. Blaine Bolus, Co-Founder of Castmagic, joins us to discuss how you can use AI and your voice/style to create a content machine.

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More on this Episode: Episode page
Join the discussion: Ask Jordan and Blaine questions on AI and content

Related Episodes:
Ep 187: Canva Magic Studio ? Revolutionizing AI Design
Ep 207: AI Will Allow Us All to Make Music We Enjoy

Tomorrow' Show: AI Meets Doctors: Turning Healthcare from a Service to a Product
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
02:00 Daily AI News
05:00 About Blaine and Castmagic
08:45 Content creation essential for business growth and trust.
13:08 Content strategy, channels, authenticity, tone, and leverage.
16:52 Reverse engineering writing style with content samples.
20:18 Stand out with unique content and system.
22:58 AI writes show notes, emails, newsletters, social posts.
27:18 Build media library, enrich user experience, workflows.
31:29 Leverage AI with intention for authenticity.

Topics Covered in This Episode:
1. Building a successful content engine with AI
2. About Blaine and Castmagic
3.  Leveraging AI in content creation
4. Castmagic?s functionality in content creation

Keywords:
Blaine Bolus, Jordan Wilson, Everyday AI podcast, AI content, authenticity, trust building, podcasting, human voice, AI for businesses, context, strategy, tone matching, AI-generated content, generative AI, KVA, Adobe Research, META, Mark Zuckerberg, AI-powered wristband, Anthropic, Amazon, Cast Magic, content assets, video content, content processing, AI in healthcare, workflows, Chat GPT, media library, content creation

OpenAI released its new text-to-video model Sora. Everyone has been talking about how extremely impressive the video output is. And IT IS. But, there's something much larger going on with Sora that no one is talking about.

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More on this Episode: Episode page
Join the discussion: Ask Jordan questions on OpenAI's Sora

Related Episodes:
Ep 209: AI as a Creativity Enhancer, not a Creativity Replacement
Ep 198: Midjourney V6 ? What?s new and producing powerful ad creatives

Tomorrow' Show: Your Voice + Your Context: How To Scale A Content Engine With AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
02:15 Daily AI News
08:30 About OpenAI's Sora
16:03 Example of Sora content
20:03 Detecting real vs fake media is challenging.
23:23 Is AGI a realistic development in tech?
26:08 OpenAI's agents perform device control and actions.
32:01 New GPT 4 turbo version released last week.
35:39 AI-generated document looks closer to real video.
38:40 Big companies balance cost with model quality.
41:16 Altman and OpenAI leading in AGI push.
47:25 Generative AI reshaping economy faster than predicted.
48:46 Tech world understanding leads to inevitable acquisition.
51:24 Meta and tech titans need strategic acquisitions.

Topics Covered in This Episode:
1. Detailed Examination of Sora?s Technology
2. Comparison of AI Art Technologies
3. The Push towards Artificial General Intelligence

Keywords:
OpenAI, Sora, Runway Gen 2, Artificial general intelligence (AGI), Martech communications, Video production, GPT models, DALL E, Real-world scenarios, World simulator, Compute power, Will Smith, Training models, Human interactions, Large language models, Cost and quality, Sam Altman, Microsoft partnership, Pica Labs, Meta, Google, Text to video platforms, Music creation, Code writing, Industry domination, Technological advancements, Tech titans, AI startups, Everyday AI, Responsible use of AI.

The last 7 days of AI news have been crazy!  OpenAI announced its amazing text-to-video Sora, Gemini released Ultra 1.5, NVIDIA's Chat with RTX, Andrej Karpathy leaves OpenAI, and more! Here's this week's AI news that matters.

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More on this Episode: Episode page
Join the discussion: Ask Jordan questions on AI
Read the newsletter on this episode: Read it here

Related Episodes:
Ep 204: Google Gemini Advanced ? 7 things you need to know
Ep 181: New York Times vs. OpenAI ? The huge AI implications no one is talking about
Tomorrow' Show: OpenAI's Sora: The larger impact that no one's talking about.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
02:40 OpenAI text-to-video model Sora
07:50 Gemini 1.5 update: Developer and enterprise access.
15:19 NVIDIA's Chat with RTX
19:18 OpenAI announces 2 new AI agents.
21:12 OpenAI and Sam Altman's ambitious plans.
25:21 Tech companies form unofficial accord to avoid penalties.
29:14 Discussion on AI models and election safety.
31:18 AI companies shift data acquisition to formal agreements.
33:56 Potential impact of AI on publishing industry.

Topics Covered in This Episode:
1. OpenAI's Sora
2. Google Gemini 1.5
3. NVIDIA Chat with RTX
4. Andrei Kapathy's departure from OpenAI
5. Reddit's AI content deal

Keywords:
Large language models, Star Wars, token memory, ChatGPT, Google, Gemini Ultra 1.5, NVIDIA, Chat with RTX, Andrei Kapathy, OpenAI, generative AI, Everyday AI, OpenAI SOAR model, AI legislation, social media regulations, disinformation/misinformation, 2024 US elections, Reddit, AI content deal, AI companies, content providers, SORA, text-to-video model, Entre Kuparthy, Tesla, AI agents, Sam Altman, GPU chips, deep fakes.

Can AI replace our creativity or is it there just to enhance it? How can it help someone go from a 5 to a 10 in creativity? Paul Eder, Strategy and Data Consultant, joins us to discuss how AI is changing the way we perceive creativity.

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More on this Episode: Episode page
Join the discussion: Ask Jordan and Paul questions on AI and creativity
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
01:40 Daily AI news
05:00 About Paul and his work
08:36 Confusing speed with creativity in AI creation.
10:53 Skeptical of AI's usefulness in improving coding.
15:51 AI replacing employees, fear of being replaced.
17:39 Trust, authenticity crucial in building online presence.
21:53 Diverse skills enable new opportunities in coding.
26:43 Discussing creativity, AI, and advice for creators.

Topics Covered in This Episode:
1. Paul Eder's Perspective on AI and Creativity
2. Impact of Generative AI on human content
3. Exploration of Creativity Affect and AI
4.  Legal Aspects of AI

Keywords:
AI, watermark attribution enforcement, fair use, educational purposes, legal system approach, copyright infringement, IP, watermarks, generative AI, school curriculums, AI content detection, creativity, Everyday AI newsletter, Jordan Wilson, Anthropic, chatbot, Claude, Google, Gemini 1.5, OpenAI, Sora, text-to-video model, Paul Eder, data poet, large language models, workforce, storytelling, prompt engineering, supervisor creativity, AI course.