Everyday AI Podcast – An AI and ChatGPT Podcast

Training data is biased. Humans are flawed. Which is a major reason AI can fail – cognitive bias. Anatoly Shilman, CEO of Cogbias AI, joins us as we chat about what cognitive bias is in AI, why it's important, and what we can all do about it.

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Join the discussion: Ask Jordan and Anatoly questions on AI bias

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Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
1. Understanding Cognitive Bias
2. Cognitive Bias in AI Models
3. Training Data and Model Development
4. Future of AI and Managing Bias

Timestamps:
02:00 Daily AI News
06:16 Cognitive Bias Mitigation Platform
08:50 AI Enthusiasm vs. Cautionary Tales
12:48 AI Bias Stems from Human Bias
16:14 Influence of System Prompts on Bias
19:46 AI Information Parsing Challenges
20:56 AI Training and Labeling Challenges
24:05 "Achieve AI Success with Expertise"
28:23 Bias and Diversity in AI Models
31:33 Addressing Cognitive Bias in Data

Keywords:
Cognitive bias, AI failure, large language models, ChatGPT, Gemini, Copilot, Claude, bias reflection, AI news, AI sales tools, Microsoft, Salesforce, Microsoft 365 Copilot, Sales Agent, Sales Chat, Google, AI mode, Google One AI Premium, Gemini 2.0, OpenAI, AI agents, enterprise automation tools, confirmation bias, heuristic, framing bias, hallucination, training data, model perception, data labeling, reasoning models, agentic environments.

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Your data is your moat. Everyone's got AI now. Find out how reliable data can make your competitive edge happen. Barr Moses, Co-Founder and CEO of Monte Carlo, joins us to discuss.

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Join the discussion: Ask Jordan and Barr questions on AI and data

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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. the Importance of Data
2. Challenges and Opportunities in Leveraging Data
3. Adoption of Data Practices
4. Data Use Case Examples
5.Generative AI, LLMs, and Data Integration

Timestamps:
00:00 Empower AI proficiency with daily insights.
06:02 Data observability ensures reliability and issue resolution.
07:15 Understanding data's importance is crucial for businesses.
13:07 Personalized AI relies on unique enterprise data.
15:20 Large enterprises struggle with data consistency, smaller teams advantage.
19:42 Generative AI analyzes sports data for insights.
22:56 Personalized financial products using reliable data.
23:56 Credit Karma Intune boosts external and internal productivity.
28:02 Peak data reached; synthetic data becomes crucial.
30:36 Recap available on your everydayai.com.

Keywords:
Generative AI, Data Usage, Data Accuracy, High-Quality Data, AI Implementation, Brand Reputation, Small Business Data Management, Data Systems, Trusting Data Sources, Everyday AI Podcast, Microsoft Partnership, Barr Moses, Monte Carlo, Data Downtime, Data Issues, Data Products, Data Observability, Data Adoption Forecast, Smaller Team Advantages, Microsoft WorkLab Podcast, Data Quality Monitor Recommendations, AI and Data Integration, Personalized Financial Products, Coding Assistants, AI for Compliance Reporting, Large Language Models, Synthetic Data, Real-World Data, Data Governance, Data Quality Management.

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You know the details. But do you know what it can do? OpenAI's newest model, GPT-4.5, is out and very impressive. But do you know the best use-cases on how to use it? Join us and find out.

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Join the discussion: Ask Jordan questions on OpenAI

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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Overview of GPT-4.5
2. Comparison of Models
3. Tools Available in GPT 4.5
4. Demonstration and Analysis of GPT 4.5

Timestamps:
00:00 Exploring GPT 4.5's Usability
04:14 "GPT-4.5 Comparison and Basics"
08:18 GPT 4.5's Surprising Success
12:04 Adopting AI Platforms for Business
13:47 GPT 4.5 Tools Overview
16:27 "GPT-4.5: Relatable and Reliable"
21:21 GPT-4.5 Uses and Benefits
30:40 "GPT-4.5: More Concise Responses"
33:38 Preference for Second Version
45:25 Boost Success with Specific Goals
49:35 Avoiding Compound Sentence Overload
51:16 "Four Five's Superior Content Structure"
55:12 Enhancing Communication with AI's EQ

Keywords:
GPT 4.5, large language model, OpenAI, emotional intelligence, benchmark, AI news, chat GPT, generative AI, live demo, relatable AI, reliable AI, GPT 4.5 capabilities, AI podcast, AI livestream, AI newsletter, AI model comparison, IQ test for AI, non-reasoning model, chat GPT tools, Canvas mode, AI in business, GPT 4.5 user experience, email writing with AI, motivational message, LLM arena, AI in content writing, AI for coding, content writing techniques, AI empathy, AI emotional cues, AI reliability.

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Anthropic released Claude 3.7. 💥
OpenAI responded days later with GPT-4.5. 💪
And apparently, Apple's AI won't really be coming until 2027. 😴
This was one of those nonstop weeks in AI news and developments. 
What's it all mean to you? 
We break it down in this week's AI News That Matters. 

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Join the discussion: Thoughts on these stories? Join the conversation 

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. Anthropic releases Claude 3.7 Sonnet, the first hybrid AI model
2. Google cofounder Sergey Brin pushes for 60-hour workweeks to win AGI race
3. Meta reportedly developing a standalone AI app to compete with OpenAI & Google
4. Microsoft Copilot now offers free unlimited access to voice and Think Deeper
5. Eleven Labs launches Scribe, a speech-to-text model supporting 99+ languages
6. Amazon denies reports that Anthropic’s AI powers new Alexa Plus features
7. Sesame AI’s voice chatbot, Maya, gains attention for its human-like conversations
8. Apple announces $500B US investment, including AI server factory in Texas
9. Bloomberg reports Apple’s advanced Siri won’t be ready until 2027
10. OpenAI releases GPT-4.5

Timestamps:
00:00 "Anthropic's Hybrid AI: Claude 3.7 SONNET"

05:04 Anthropic's Claude Targets AI Coding

09:08 Generative AI Partnership Solutions

12:07 High Pressure AI Work Culture Concerns

14:16 Meta Developing Standalone AI App

20:16 Copilot Pro for Mac Users

22:15 ElevenLabs Launches Scribe Speech Model

26:07 Efficient Text Processing Methods

30:22 "Maya: Realistic AI Chatbot Unveiled"

32:02 "Sesame AI Voice Model Review"

35:47 Apple's Major US Production Shift

38:03 Siri's AI Upgrade in iOS 20

41:31 GPT 4.5 Access Details

44:48 GPT 4.5: Superior Decision Assistant

50:27 AI Updates: Scribe, Alexa, Sesame, Apple, GPT-4.5

52:04 "Grow with AI Insights"

Keywords:
Anthropic Claude 3.7 SONNET, OpenAI GBT 4.5, AI from Apple, AGI, everyday AI podcast, NVIDIA GTC conference, Anthropic Claude Code, API cost, Google's AGI productivity, Meta AI app, Microsoft Copilot updates, Eleven Labs Scribe, Amazon Alexa Plus, Sesame AI chatbot Maya, Apple AI server factory Texas, Siri iOS 20, ChatGPT Pro, reliability, relatability, GPT 4.5 API pricing.

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How big is ChatGPT's new GPT-4.5 model? 🥵
Welp.
They ran outta GPUs.

↳ 10X compute power.
↳ Sharper coding skills.
↳ Vision that finally gets it.
↳ And writing with actual nuance instead of AI word salad.

Is this mid-step evolution worth the API price jump?

Who wins biggest from these upgrades?

Join us as we break down what matters in 4.5—from its creative intuition to its technical precision—and why that 2023 knowledge cutoff might not be the dealbreaker you think.

OpenAI’s new GPT-4.5: What’s new and who can benefit the most -- An Everyday AI Chat with Jordan Wilson

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Join the discussion: Ask Jordan about GPT-4.5

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. Introduction to AI Model Releases
2. Introduction to Everyday AI Podcast
3. AI News Coverage
4. Meta's Upcoming Standalone AI App
5. Deep Dive into GPT 4.5
6. Who Can Benefit from GPT 4.5
7. Technical and Strategic Impact
8. Audience Engagement and Interaction
9. Conclusion and Future Plans

Timestamps:
00:00 "NVIDIA's Revenue Soars 78%"
04:48 Meta's Standalone AI App Launch
08:13 Future Hybrid Model Systems
11:34 "GPT-4 Turbo and Omni Models"
14:09 "Reliable, Relatable Model"
17:46 GPT-4.5: OpenAI's Claude Rival?
20:32 "The Last Enormous AI Model"
23:26 AI Benefits for Various Professions
28:02 Testing ChatGPT's Expanded Context Window
32:17 Adjusting to GPT 4.5 Knowledge Limits
34:29 OpenAI Models' Accuracy Comparison
39:12 AI Model Performance Benchmarks
42:31 GPT 4.5 Pricing Concerns
44:01 "EQ Model: Soft Skills Breakthrough"
47:02 4.5 vs. 4.0: Performance Insights
49:37 "Upcoming PPP Model Insights"

Keywords:
GPT 4.5, OpenAI, large language model, AI model updates, ChatGPT, everyday AI, NVIDIA revenue, Anthropic SONNET 3.7, artificial intelligence, data center products, cloud service providers, Meta AI app, standalone AI app, Mark Zuckerberg, AI integration, AI news, GPU demand, Blackwell GPU, Verorubin architecture, reasoning models, hybrid approach, chain of thought, multimodal capabilities, hallucination rate, empathy in AI, emotional intelligence, model accuracy, API pricing, technical features, training data, creative insights.

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What happens when.... AI agents are everywhere?

To learn, we tapped into the insights from one of the leading voices in AI, Babak Hodjat, who's resume includes helping create the tech behind the original AI agents like Siri.

So, how do enterprises prepare for a multi-agent environment? Tune in and find out.

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Join the discussion: Ask Jordan and Babak questions on AI agents

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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Understanding Agents and Large Language Models
2. Implementing Multi-Agent Systems
3. Hallucinations and Errors in AI Systems
4. Usage and Organization within Multi-Agent Environments

Timestamps:
00:00 "Rethinking Enterprise with Multi-AI Agents"
05:33 AI Agents Buzz at Davos
07:57 Code Execution via Agent Tools
10:03 Emerging Trend: Multi-Agent AI Integration
14:40 Responsible Multi-Agent System Design
19:35 Multi-Agent System Alignment Challenges
21:19 Resilient AI Through Redundancy
26:26 Generative AI Business Strategies
27:45 Rethinking Human-Device Interaction
31:16 Multi-Agent Enterprise Integration

Keywords:
Everyday AI, podcast, generative AI, agents, large language models, enterprise companies, multi agent environments, decision making process, Cognizant, Neuro AI, startup culture, agentic AI environments, technology services, AI first company, natural language processing, decision systems, agentification, POC (proof of concept), modular software, agent alignment, AI ethics, human in the loop, multi agent systems, organizational decision making, enterprise productivity, knowledge worker, conversational systems, AI strategy, AI safety, organizational agility.

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The biggest AI update of 2025 just happened and you prolly had no clue. This isn't a new model. It's not even technically a new feature. It's all about access. 

And now tens of millions of ChatGPT Plus users will have access to OpenAI's Deep Research. (Including some of the new bells and whistles they JUST released) 

Join us as we tell you how to take advantage.

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Join the discussion: Ask Jordan questions on OpenAI

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Topics Covered in This Episode:
1. Accessibility of OpenAI’s Deep Research
2. Deep Research Capabilities and Features
3. Use Cases for OpenAI's Deep Research

Timestamps:
00:00 OpenAI Introduces Free Voice Mode
08:40 "ChatGPT Plan Enhancements"
14:48 Optimizing Website Traffic Strategies
20:04 AI Research Tool Revolution
22:37 "OpenAI Deep Research Revolutionizes Time"
28:14 Dual Model Framework in Research
32:58 AI Content Strategy for 2025
37:24 Optimize Deep Research Workflow
44:31 Shift from Forbes to Sloan MIT
53:06 Deep Research: Beyond a Better Google
57:55 "AI Tools Empower Small Podcast Team"
01:01:52 Optimizing Episode Planning with AI
01:06:50 Limited Searches, Exclusive Consultation Offer

Keywords:
AI updates, OpenAI, deep research, chat GPT plus, AI tool, ChatGPT plan, pro plan, new features, AI infrastructure, Meta data center, Microsoft Copilot, advanced AI, reasoning tools, Meta CEO Mark Zuckerberg, Apple AI investment, free AI access, advanced voice mode, GPT four o, reasoning model, SEO strategy, Google Search Console, content optimization, AI trends 2025, operator agent, large language model, Python integration, dual model architecture, semantic search, personalized AI assistant, generative AI

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The world's first hybrid LLM is here. We've been waiting since June for Anthropic's next heavyweight model. With Claude Sonnet 3.7, not only is that wait over, but we also have the world's first hybrid model. What's it mean? And how should you use it?

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Join the discussion: Ask Jordan questions on Claude

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

Topics Covered in This Episode:
1. Overview of Claude 3.7 Sonnet
2. Performance Benchmarks
3. Potential Use Cases
4. Discussion on Hybrid AI Models

Timestamps:
00:00 Apple's $500B AI & Manufacturing Investment

10:40 Claude SONNET Summarized Chain of Thought

16:03 Claude's Restrictive Usage Limits

22:31 AI Control: Balancing Innovation and Cost

25:18 "Front End User Model Options"

28:54 Anthropic's Claude Challenges Market Norms

38:33 Explaining Local Code Interaction

41:22 Live Coding: GitHub and Replit Demo

49:11 "Episode Release Day Impact Analysis"

51:29 Tuesday Episodes Analysis and Challenges

59:01 Painter and Match Jokes

01:02:58 "Deep Research in Generative AI"

01:06:28 Concerns Over Costly AI Hybrid Models

Keywords:
large language model, Anthropic, Claude 3.7 SONNET, hybrid AI model, generative AI, GPT-4, OpenAI, Claude Code, API users, Google Gemini, code assist, Apple, AI infrastructure, Microsoft, meta, generative AI advancements, LLM updates, AI news, hybrid model system, transformer models, extended thinking, software development, reasoning models, Gemini code assist, Google Gemini two point o model, Visual Code Studio, software engineering, MMLU benchmarks, coding assistance, generative AI space, artificial general intelligence, chain of thought, agentic tools

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Grok 3 is already swirling in controversy. Google released their jaw-dropping Veo 2 AI video model, but not in the way you'd think. And Microsoft quietly unveiled a new piece of hardware so big, it could change every aspect of our lives. Not just the AI stuff. Join us as we bring you The AI News That Matters.

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Join the discussion: Ask Jordan questions on AI

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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Grok 3 Controversies
2. AI Censorship and Political Stances
3. OpenAI and Chinese AI Misuse
4. Advancements in Robotics
5. Google's AI Co-Scientist System
6. Launch of Mira Murati's New AI Startup
7. Google's VEO 2 AI Video Model
8. Microsoft's Quantum Leap

Timestamps:
00:00 XAI's GROC 3 Launch Controversy

03:56 GROC Three: Advanced AI and Modes

07:27 Disputing AI Benchmark Claims

10:49 Grok Chatbot Censorship Controversy

16:59 Helix: New AI Model for Robots

18:20 Helix Robots Store Groceries Autonomously

21:23 AI Coscientist: Revolutionizing Idea Generation

26:04 AI Cuts and New Startup Reveal

28:12 "Thinking Machines Lab's AI Ambitions"

33:32 "V-O Two Model Now Accessible"

37:32 AI's Media Impact and Quantum Leap

41:15 "Quantum Computing Milestone with Majorana"

43:33 Anthropic's Claude 3.7 SONNET Rumored

Keywords:
Elon Musk, Grok Three, AI controversies, AI benchmarks, synthetic data, XAI, GROC team, deep search, benchmarking, synthetic data, quantum computing, quantum leap, AI misuse, OpenAI, Anthropic, AI co scientists, robotics startup, humanoid robots, Microsoft, Majorana one chip, quantum processing, AI video model, Google's V O Two, video generation, Google's AI coscientist, AI safety, US AI Safety Institute, Mira Mirati, Thinking Machines Lab, Figure robotics, Helix model.

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You might not think about the supply chain every day. But every product you use or service you rely on is 100% impacted by the global supply chain. And AI is completely reshaping how it works. Join us to find out how.

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Join the discussion: Ask Jordan and Julian questions on AI and supply chains

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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. Role of Generative AI in Supply Chains
2. Challenges in the Supply Chain Industry
3. Automation and Robotics in Logistics
4. Accessibility of AI Solutions
5. Data Quality and Management

Timestamps:
00:00 Global Supply Chain Analytics Platform
03:56 AI-Driven Procurement Insights
09:57 Supply Chain Transparency and Challenges
12:37 Meta & Apple Enter Robotics Race
17:32 Data Classification Challenges in Industry
21:22 Accessible AI: From Chatbots to Agents
23:39 Navigating AI Disruption in Product Suites
27:02 Data Management and Security Essentials

Keywords:
Generative AI, global supply chain, artificial intelligence, machine learning, large language models, data extraction, ERP systems, data classification, supply chain analytics, predictive analytics, scenario planning, robotics, automation, ChatGPT, business impact, ESG compliance, supply chain insights, procurement officer, spend management, minority supplier spend, data quality, predictive insights, scenario analysis, enterprise resource planning, SAP, Oracle, Coders, generative AI applications, supply chain transformation, generative AI impact, technology disruption.

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You're probably using ChatGPT Tasks all wrong. We're going to give you TWO of the biggest cheat codes when it comes to ChatGPT tasks. Don't miss this.

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Topics Covered in This Episode:
1. Importance of Context Tasking
3. Task Management in ChatGPT
2. Utility of ChatGPT's Task Feature
3. Limitations and Challenges
4. Opportunities for Future Improvements
5. Agentic AI and Task Automation

Timestamps:
03:00 Daily AI news
05:17 OpenAI's Tasks update dominates today's AI news.
08:51 Access requires subscription; clear cache, update app.
13:15 GPT-4 tasks limited despite $200/month plan.
17:08 Focus on practical, business-oriented AI applications.
17:49 ChatGPT's autonomous tasks are foundational, powerful.
21:46 Frustration with noisy, singing smart appliances daily.
26:41 Converting prompts to tasks using ChatGPT.
27:45 Research daily using chat and browser tools.
33:10 Find top 3 relevant marketing news daily.
34:29 Implement daily AI strategies; reference 2025 innovations.
38:03 Custom instructions per chat require manual context.
41:33 Notify big stock shifts, research reasons.
46:19 Information processing with AI for accurate predictions.

Keywords:
ChatGPT, AI news updates, podcast data analysis, task feature in ChatGPT, OpenAI, personalized AI updates, daily AI news, task management, task stacking, agentic AI, autonomous task automation, task scheduling, GPT-4, repetitive task automation, OpenAI's dominance, context tasking, language models, AI workflow automation, technical limitations, task mode, 2025 AI predictions, Everyday AI, task manager interface, GPT-4 o, Jordan Wilson, podcast "Everyday AI", Cisco AI Defense, Apple Intelligence, advanced task schedules, task notifications.

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Deep Research tools are gonna be the second wave of GenAI. Granted, they'll be a MUCH smaller wave than the ChatGPT moment of 2022. Yet, before AI Agents take off flying, we're going to see a mass adoption to these new Deep Research Tools.

But which ones are good?

Is Google's the winner? Is OpenAI's in-depth researcher untouchable? Or is Perplexity's free and speedy option the way to go?

We'll go in depth on each.

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Join the discussion: Ask Jordan questions on Deep Research

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Website: YourEverydayAI.com
Email The Show: [email protected]
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Topics Covered in This Episode:
1. Breakdown of Deep Research Tools
2. Challenges in Using the Internet for Research
3. Tasks Suitable for Deep Research Tools
4. Comparison of Deep Research Tools
5. Practical Demonstration and Live Testing

Timestamps:
00:00 Deep Research AI Tool Showdown
05:30 OpenAI's Advantage in AI Research
07:21 "Disruptive Deep Research Tools"
11:49 Essential AI Tools for Research
14:20 Adapting Work to Connectivity Constraints
17:34 OpenAI's Enhanced O3 Model Overview
23:10 Google Deep Research Explained
24:05 Web Crawling: Google vs. OpenAI
29:28 "LLM Development Interests Clarification"
31:14 "Optimizing Deep Research Methodology"
35:11 Tool Comparison and Pause Announcement
38:06 AI Accuracy and Hallucinations
42:27 Misreported Interests: From Music to Marketing
46:01 Choosing a Deep Research Service
47:49 OpenAI Dominates Deep Research Choices

Keywords:
AI research tools, deep research tools, large language models, perplexity deep research, Google deep research, OpenAI deep research, AI-powered tools, AI news, AI predictions, business use cases, knowledge workers, AI in business, ROI on GenAI, strategies for deep research, Internet research, research synthesis, AI deep dive, professional research, AI hallucinations, SEO and AI, AI-powered market analysis, AI in education, AI-generated reports, AI in competitive analysis, advanced research methodologies, AI and disruption, deep learning models, transformative AI use cases, factual accuracy in AI, AI pricing and access, AI model reasoning.

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It's free. It's fast. But is it good? Perplexity joined the Deep Research train, so we are giving it a thorough rundown. Is this your next AI sidekick?

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Join the discussion: Ask Jordan questions on Perplexity

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Website: YourEverydayAI.com
Email The Show: [email protected]
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Topics Covered in This Episode:
1. Breakdown of Perplexity Deep Research
2. Comparison with Other AI Deep Research Models
3. Live Demonstration and Deep Research Prompts
4. Differences and Mechanics of Deep Research Models
5. Results and Analysis of Perplexity's Deep Research Queries

Timestamps:
00:00 "Your Everyday AI: Resources & Newsletter"
03:51 Perplexity Deep Research Overview
07:16 "Deep Seek Truth Episode 460"
10:57 "Generative AI Partner Opportunities"
15:32 Evolving Importance of Benchmarks
19:45 Perplexity: An Answers Engine Competitor
22:36 Perplexity's Overwhelming Model Complexity
26:15 Researching Nike's Q4 2024 Earnings
28:45 Enhancing Language Model Use Skills
31:55 Importance of Citing Statistics
34:31 DeepSeek's Global Tech Impact
38:23 "Fact-Check AI with Personal Data"
42:04 AI's False Claims Exposed
45:39 AI Query Results Irrelevant
48:39 Unrelated Thoughts on Criticism
50:22 Comparing AI Research Methods

Keywords:
deep research, perplexity, AI companies, tech companies, AI tools, GPT-4, Google Gemini, OpenAI, AI strategy, reasoning models, internet connected models, perplexity deep research, chat GPT search, Google's deep research, OpenAI's deep research, AI benchmarks, humanity's last exam, AI hallucinations, pro search, reasoning search, everyday AI, AI newsletter, AI podcast, AI career growth, generative AI, AI tools comparison, perplexity Sonar, transformer models, reasoning models, AI queries, large language models

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Sam Altman laid out plans for GPT-5. Elon Musk says Grok-3 is dropping today. We finally have plans about Claude's new 'hybrid' model. AI news doesn't slow down. Neither should your company's AI adoption.

Don't waste time. Join us on Mondays as we bring you the 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

Topics Covered in This Episode:
1. OpenAI GPT model updates
2. Grok 3 launch
3. Apple and Amazon voice assistants
4. YouTube Veo 2 Integration
5. Apple and Meta's Robotics

Timestamps:
00:00 Weekly AI News Guide
05:25 Elon Musk's OpenAI Strategy Unpacked
07:51 XAI's Ambitious AI with Grok
12:03 Apple & Amazon Voice Assistant Delays
16:07 Perplexity AI Launches Free Deep Research
19:25 "Challenges of AI Copy-Pasting"
20:14 "Upcoming AI Research Revolution"
23:38 YouTube AI Backgrounds Access Guide
29:09 OpenAI's Upcoming Model Releases
31:11 GPT 5 Tiered Access
36:22 OpenAI Aims to Rival Google
38:46 Claude SONNET 3.5 Update Stagnation
41:47 Big Tech Embraces Robotics Expansion
45:12 Adobe Faces AI Competition
47:22 AI Developments: GPT, Claude, and More

Keywords:
AI models, Grok three, OpenAI, GPT five, Anthropic, hybrid model, everyday AI, Elon Musk, XAI, Sam Altman, Grok two, ChatGPT, Siri, Alexa, Perplexity AI, deep research, large language models, YouTube, VO two, Dream Screen, Google, Claude, Meta, humanoid robots, Adobe, Firefly, NVIDIA, reasoning models, GPT four o, LLM arena, DeepSeek

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How can you quickly turn ideas into products? Do you need to be overly technical to build in today's day and age of AI? And what the heck is in the NVIDIA Inception program?

We'll tackle all those questions, and a lot more.

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Topics Covered in This Episode:
1. NVIDIA Inception Startup Program
2. Spotlight on Lightning AI
3. Rapid Changes in AI and Their Impact
4. Strategies for Startups in the AI Era

Timestamps:
01:50 Daily AI news
04:40 Intro to guests
06:11 NVIDIA Startup Support Overview
08:24 "AI Deployment Simplified with Prebuilt Solutions"
12:40 AI Era Spurs New Startups
13:43 Future of CRM and Ecommerce Revolution
18:43 "Lean Methodology's Impact on Startups"
20:10 Defining Core IP for Startups
23:59 "Partner for AI Business Growth"
27:50 Automating Expertise Documentation
30:46 Risks of Rapid Product Creation
34:37 Experiment with AI Tools

Keywords:
Generative AI, startup landscape, software engineer, leverage AI, NVIDIA inception program, AI news, Google DeepMind, YouTube Shorts, Anthropic AI model, OpenAI CEO Sam Altman, generative AI tools, AI video model, podcast, Lightning AI, NVIDIA startup program, AI native companies, product market fit, large language models, OpenAI, ChatGPT, machine learning, deep reasoning capabilities, AI newsletter, hybrid AI model, technology invention, Lightning AI hub, developer tools, AI prompts, GPT series, computing efficiency

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In three years (or less), ANY story you can imagine will be instantly transformable into professional-grade video content.

No fancy equipment. No massive creative team. Just your ideas and AI.

That's not some pie-in-the-sky prediction. That's straight from Eric Yang, CEO of Topaz Labs, whose AI-powered creative tools are already used by millions of content creators worldwide.

What does the future of AI-powered storytelling look like? We dive in and find out.

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Topics Covered in This Episode:
1. Role of AI in Business and Storytelling
2. Current Trends and Consumer Expectations
3. Societal Implications of AI-generated Content
4. Future of AI Video and Image Technology

Timestamps
00:00 AI Revolutionizing Big Businesses
06:16 Future of Effortless Video Creation
09:24 AI in Video and Photography
11:10 "Transform Business with Gen AI"
14:32 Video Consumption Trends & Personal Impact
18:18 Balancing Authenticity with AI Tools
20:33 Digital Evolution: Film to AI Reality
24:14 Improving AI Video Realism
26:51 Future of AI Storytelling

Keywords:
AI-powered storytelling, generative AI, large language models, visual generative AI, storytelling, Topaz Labs, AI tools, AI content creation, enterprise companies, content upgrading, photo AI, video AI, AI technology, AI-powered tools, creative AI tools, AI video quality, business growth, AI storytelling future, AI creative platforms, AI in production, consumer expectations, AI-generated content, AI business use cases, content democratization, AI storyboarding, digital photography, AI-generated video, AI-powered visuals, AI human authenticity, AI-generated storytelling trends.

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$100 million fine if your company uses DeepSeek? What happened, here? A few weeks ago, DeepSeek was the internet's darling. After grabbing international headlines and shaking the U.S. stock market to its core, it's been a shake week or two for the Chinese AI company.

So what's actually happening here? Should you actually use the model? Is it safe? Is it really a SOTA open source model?

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Topics Covered in This Episode:
1. Popularity of DeepSeek
2. DeepSeek’s capabilities and benchmarks
3. DeepSeek causing market disruptions
4. Global Reactions and Controversies
5. Analysis and Criticism of DeepSeek

Timestamps:
00:00 "DeepSeek: AI Revolution or Threat?"
03:20 Daily AI news
09:06 DeepSeek's Advanced AI Models
09:56 US Alternatives Boost DeepSeek Legitimacy
15:34 Data Security Risks with China
17:02 Potential Chinese AI Ban Looms
21:13 Confidence in Model and Media Blame
25:26 "Data Privacy Concerns with DeepSeek"
30:04 DeepSeek Model Cost Controversy
33:12 DeepSeek's Costs and Legal Issues
36:55 DeepSeek Bans Amid Security Leaks
38:24 Deep Seek Ban on Devices
42:44 Data Privacy Concerns in AI Platforms
46:55 DeepSeek: Not Truly Open Source
48:36 AI Podcast Success Story
52:48 DeepSeek AI: Threat or Hype?

Keywords:
Generative AI, DeepSeek, Chinese AI company, US Senate bill, $100,000,000 fines, prison sentences, national security threat, AI Sputnik moment, Microsoft, Perplexity, AWS, AI predictions, OpenAI, o3 model, International Olympiad in Informatics, Alibaba, iPhone AI features, Apple, ByteDance, Baidu, Tencent, Elon Musk, OpenAI takeover bid, transparency, data privacy, open source, state of the art model, LLMs, reasoning models, regulatory oversight, proprietary documents.

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OpenAI's Operator agent is a glimpse into the future of work.

Even if you don't have access to the Computer-Using Agent now, you will soon. Once the whole world gets access, you'll need to know the best practices to get ahead.

We'll be sharing those with you and doing a breakdown of OpenAI's newest (and potentially best) agent to date.

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Topics Covered in This Episode:
1. OpenAI Operator explained
2. Operator vs. Competition
3. Use Cases for Operator
4. Managing Tasks in Operator

Timestamps:
00:00 "OpenAI's Smart Research Agents"
08:28 "Future Rollout of $20 Plan"
11:14 "Google's Mariner: Automated Browser Tasks"
17:45 Frustration with AI Use Cases
25:57 "Prompt Engineering Challenges"
27:09 Operator Limitations with Virtual Tools
35:04 "Guide to Using Google Gemini"
38:30 "Steps for Google Deep Research"
46:45 Optimizing Task Efficiency and Quality
52:04 Skip Prepackaged Dining Experiences
58:33 Automating Tasks with GPT-4
01:04:30 AI Revolution: Enhancing Productivity
01:05:44 "LinkedIn Repost Giveaway Announcement"

Keywords:
Generative AI, large language models, OpenAI's operator, GPT-4, AI agents, AI predictions, livestream podcast, AI newsletter, business growth, task automation, deep research, AI tools, chat GPT tasks, AI news, screen sharing, live demos, autonomous AI, computer use agent, AI capabilities, virtual machine, AI research, AI-driven workflows, AI models, AI-enhanced productivity, AI-powered research, task scheduling, AI automation, AI ecosystem, Google Gemini, AI ethics.

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Could your company get fined $100 million for using DeepSeek? Is OpenAI coming for Salesforce AND Google? What's new in Gemini 2.0?

AI advancements are on fire. Don't waste hours a day trying to keep up. We bring you the AI news that matters.

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Topics Covered in This Episode:
1. OpenAI Developments
2. Google's Gemini 2.0
3. U.S. Legislation on DeepSeek
4. Figure AI's Robotics Plans
5. Google Updates AI Guidelines

Timestamps:
00:00 OpenAI Develops In-House AI Chip
06:40 "Gemini Chat's New Enhancements"
08:08 Proposed Bill Targets DeepSeek Usage
12:21 DeepSeq Controversy and Vulnerabilities
15:47 Tech Layoffs Surge Amid AI Shift
19:43 "Figured AI Pursues In-House Robotics"
23:27 AI Investment and Governance Debate
27:13 SSI: Secretive AI Lab Emerges
30:42 GitHub's Autonomous Coding Agent Preview
33:21 LeChat Expands Features and Pricing
35:13 ChatGPT Now Accessible Without Login
41:14 AI Disrupting CRM Market Dynamics
44:23 AI Innovations and Market Moves
45:57 AI Predictions Podcast Series

Keywords:
DeepSeek, Chinese AI models, OpenAI, Google, Salesforce, Gemini 2.0, AI chip, NVIDIA, TSMC, AI development, Tech companies, Google DeepMind, US Congress bill, AI fines, deep research, AI predictions, Workday layoffs, AI agents, robotics, Figure AI, AI ethics, AI weapons, Safe Super Intelligence, GitHub Copilot, Microsoft, Mistral AI, La Chat, ChatGPT search, Crystal Intelligence, SB OpenAI Japan, CRM.

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One of the smartest leaders in AI is taking us to Gemini school. 

Google just released its highly anticipated Gemini 2.0 updates. Logan Kilpatrick is the Senior Product Manager at Google DeepMind and is widely considered one of the leading voices in AI development. 

What better way to learn about Google’s groundbreaking model update than straight from the source?

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Topics Covered in This Episode:
1. Google’s Gemini 2.0 Update
2. Rapid Progress in AI and LLM Capabilities
3. Multimodal Features of Gemini 2.0
4. Google's Agentic AI Projects
5. Future of Work & Personal Productivity

Timestamps:
00:00 Exciting Gemini AI Update
05:02 Relentless AI Model Progress
08:42 Small Model Success Drives Frontier Bridging
11:59 Advancements in Image Generation Models
14:55 "Agent Development Experimental Releases"
16:43 Advancing AI Reasoning Models
21:32 AI's Impact on Software Engineering
24:24 Future Shift: Developers to AI Builders
28:25 Empowering Builders in AI Economy
30:57 Proactive Task Management App Vision

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OpenAI and Google have been going toe-to-toe yet again. OpenAI's released two agents and Google JUST dropped some impressive new Gemini 2 models. 

But between all of those banger releases, OpenAI also dropped an impressive new reasoning model in o3. And cheapskates rejoice -- they released their o3-mini model for (kinda) free! 

That got us thinking -- is OpenAI's o3-mini the world's best free chatbot model? We answer that question and cover a whole lot more.
 
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Topics Covered in This Episode:
1. Overview of OpenAI’s 03-mini Model
2. Comparisons to Other Chatbot Models
3. o3-Mini High’s Reasoning Abilities
4. o3-Mini Key Takeaways & Implications

Timestamps:
00:00 Intro
03:00 Daily AI News
08:00 Breakdown of o3-mini model
09:24 Exciting Update: OpenAI's Free Internet-Connected Model
16:18 ChatGPT Plus API Options Explained
19:54 o3 Mini Rivals Top Models"
22:40 OpenAI's Naming Challenges Explained
25:24 Model Choices Explained
29:52 Trick Questions: Fruit Consumption Puzzle
32:01 Impressive Chain of Thought Evaluation
34:32 Riddle: What to Light First?
37:18 Challenge: Make Me Laugh, "Blue"
41:27 Code Formatting Clarification
45:59 Generative AI Search Limitations
48:36 Chain of Thought: Web Use Uncertain
51:07 O Three Mini's Current Excellence
55:35 Revolutionary Reasoning Model Insights

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This one's personal for me. I talk GenAI every day. For 7 years, I was a journalist. So what's the future like when the journalism and AI worlds collide? Pete Pachal, Founder of The Media Copilot, joins us to discuss.

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Topics Covered in This Episode:
1. Journalism's Perceptions of AI
2. Evolution of Media and Its Challenges
3. Benefits of AI for Journalism
4. Monetization and Legal Implications
5. Journalists' Pain Points with AI

Timestamps:
00:00 AI in Journalism
06:39 Journalists' Skepticism Toward AI
07:31 AI's Enduring Impact on Media
12:24 The Struggle for Digital Monetization
14:08 "Internet 'In Shitification' Phenomenon"
17:38 Media Lawsuits Against AI Shift
23:28 AI Licensing and Content Strategy
26:02 Upskill to Compete with AI
28:32 The Challenge of Modern Journalism

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Another "Deep Research"? OpenAI just released its version of Deep Research, not to be confused with Google's own Deep Research. But not all AI-powered Deep Research tools are the same, believe it or not. We show you how OpenAI's newest agentic tool works and how you can use it.

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Topics Covered in This Episode:
1. Overview of OpenAI’s Deep Research
2. Comparison to Google’s Deep Research
3. How Deep Research Works
4. Use Cases, Limitations, and Best Practices
5. Deep Research Larger Implications

Timestamps:
02:30 Daily AI news
07:10 Breaking down OpenAI's Deep Research
11:10 Specifying Earnings for Analysis
18:02 AI Research Model Comparison
20:17 OpenAI's Deep Research vs. Operator
25:19 OpenAI's Agentic Digital Detective
29:00 Challenging Benchmark: "Humanity's Last Exam"
31:51 AI's Expanding Context Window
34:01 Top AI Tools for Research
37:11 AI Content Filtering & Safety Measures
42:55 Researching Nike's Fiscal Numbers
44:42 Nike vs. Adidas Financial Comparison
47:44 Quality Over Quantity in Research
50:38 Renegotiate Contracts for AI Tools
54:23 Deep Research Use Cases

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Did DeepSeek really train a chart-topping LLM for $5 million? Google Gemini quietly updated its AI chatbot. And OpenAI released a new model. That's just the beginning of impactful AI news this week. Join us on Mondays as we do the AI news that matters. 

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Topics Covered in This Episode:
1. DeepSeek's AI Model
2. OpenAI's Plans and Developments
3. Important Updates from Other Tech Giants
4. US Copyright Office’s Stance on AI Content
5. Market Scene Around AI

Timestamps:
00:00 AI Breakthroughs and Costs Analyzed
05:52 AI Market Shifts: NVIDIA & OpenAI Impact
08:04 DeepSeek's AI Controversy and Impact
12:11 Microsoft Hosts Controversial DeepSeek Model
17:04 AI Outputs Lack Copyright Protection
20:28 AI and Copyright Challenges
22:31 SoftBank Boosts OpenAI Investment
25:41 OpenAI Releases Free Advanced Model
29:55 OpenAI's Internet-Connected AI Model

Keywords:
AI, DeepSeek's AI model, copyright ruling, OpenAI, reasoning model, o three Mini, AI infrastructure plan, Stargate, DeepSeek's hardware expenditure, SemiAnalysis report, NVIDIA, US economy, US National Security Council, distillation technique, Microsoft, Azure cloud service, Google Gemini, US copyright case, copyright law, SoftBank Group, funding round, chain of thought reasoning technique, AI agents, Oracle, supply chain management, Internet connection, code development, business intelligence, data, ChatGPTgov

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AI agents have been all the buzz recently. But why AI agents? And why now? There's a lot going on under the surface. Scott Beechuk joins us to dive in deep and tell you what you need to know.

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Topics Covered in This Episode:
1. Current State of AI Agents
2. Challenges in AI to AI Interactions
3. Guardrails in AI
4. Humans’ Roles in AI Integration
5. AI Agent Use Cases
6. Future of AI Agents

Timestamps:
00:00 AI agents are mainstream, bridging future enterprise work.
05:28 Technological shifts drive innovation, advancing AI capabilities.
07:40 Automate knowledge tasks and complex problem-solving cautiously.
10:25 AI complexity requires new quality assurance strategies.
15:53 AI agents optimize customer service interactions effectively.
19:39 AI's future: Multimodal interactions with voice, video.
23:51 AI enhances customer relationship building and sales effectiveness.
26:57 AI development tools advancing, with complex AI interactions.
29:13 Tracing AI interactions lacks standard communication protocols.
31:41 Build companies by working backward for efficiency.

Keywords:
AI advancements, GitHub Copilot, Microsoft's WorkLab, AI guardrails, OpenAI, AI in sales, AI in customer engagement, Scott Beechuk, AI agents, machine learning, generative AI, ChatGPT, customer service, transparency in AI usage, automating customer outreach, multimodal future of AI, AI development, R&D in AI, AI systems' risks, Cursor, Zencoder, Replicant, Jordan Wilson, Norwest Venture Partners, Software development, Anthropic, Salesforce, EveryDay AI podcast, data privacy in AI, brand integrity with AI

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We're so quick to give AI access to see the world around us, but what are the dangers? And what are some powers that you're not aware of? We'll be sharing both as Michael Tiffany, Co-Founder and CEO of Fulcra Dynamics joins us to discuss.

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Topics Covered in This Episode:
1. Power and danger of letting AI view your data
2. Quick emergence of live AI technology
3. Kill switch and intelligent data routing
4. Local compute and orchestrations requirements

Timestamps:
00:00 AI Advances: Power and Privacy Concerns
05:34 Fulkar: Pioneers in Streaming Data Storage
08:09 "Hacker Cyborgs and AI Privacy"
12:08 AI Surveillance and Privacy Concerns
15:02 "Experimenting with Custom AI Assistant"
16:40 Calendar and Location Data Insights
21:46 "Smart Local Monitoring Strategies"
24:09 Miniature AI Models Revolutionize Technology
28:36 Experiment with Personal AI Control

Keywords:
Generative AI, AI technology, Google Gemini Live, Gemini's AI, AI agent, Microsoft Copilot Vision, personal data, privacy, data security, artificial general intelligence, superintelligence, live technology, AI observability, AI assistance, AI models, multimodal models, world models, local inference, edge AI, small language models, Frontier models, cloud-based models, Enterprise software, on-premise software, Cloud Software, AI Orchestration, Local Compute, Hardware, Biohacking, Personal Data Control

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What AI tools or features should your company be using in 2025? We'll save you like 254 hours by telling you the Top AI Features and Tools of 2024. (And ranking the ones that are most useful for your biz.) 

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Topics Covered in This Episode:
1. Top AI Tools and Features Discussion
2. AI Tools of the Year & Rankings
3. In-depth Discussion of Specific Tools
4. AI Industry Overview

Timestamps:
00:00 Network with tech professionals; explore AI tools.
10:16 Share show for AI tools honorable mention.
12:32 Siri uses ChatGPT for complex queries.
18:09 Inline AI enhances collaborative document editing efficiently.
23:23 ChatGPT search tool flawed after limited beta.
31:06 Cursor went viral as first user-friendly AI.
34:52 Google excelled with Gemini 2.0 updates.
37:56 Google deep research: fast, comprehensive answers engine.
46:17 Use Microsoft 365 Copilot Studio for automation.
50:03 Microsoft Copilot Vision simplifies travel bookings. Limited.
55:32 Iterative prompting guides advanced language models.
01:02:47 Gemini app enables video and voice interaction.
01:07:42 Google's Veo AI video tool released, concerns remain.
01:13:52 Notebook LM prioritizes trust and transparency in AI.
01:15:49 Top AI tools and features 2024 list.

Keywords:
Jordan Wilson, live stream, AI tools ranking, people's choice award, Midjourney v6.1, Microsoft Copilot Studio, Copilot Vision, Notebook LM, Sora, Veo 2, Zapier Agents, AI tool tiers, podcast, AI developments, generative AI, AI tool selection, AI tool ratings, AI 2024, audience participation, Claude's Artifacts, Claude Computer Use, Cursor AI, 11 Labs conversational agents, Google Gemini 2.0, Google Deep Research, HeyGen's new v3 avatars, AI in documents, Canva's Magic Studio, Chat GPT's new search, OpenAI's 01 Pro.

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Wondering if Claude's latest agentic AI is worth it? Computer Use is an agentic AI system that allows you to operate a virtual computer simply by speaking with Claude. We dive in and explain how it works.

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Topics Covered in This Episode:
1. Overview of Anthropic Claude
2. How to Use Claude Computer Use
3. Critiques of Anthropic's Tools
4. Future of AI Agents

Timestamps:
00:00 AI agents essential in businesses by 2025.
04:48 Google developing AI agent 'Jarvis'; competition intensifies.
10:01 Using an API key; GitHub shares code.
11:22 Docker is a versatile containerization tool for developers.
15:36 Claude Sonnet 3.5 limits commands despite plans.
17:08 Replace placeholder with copied API key.
23:17 Demonstrating computer vision on a virtual desktop.
25:33 Claude retained information without website visit.
29:31 Experiencing repeated errors toggling between applications.
30:49 Visit everydayai.com, list latest 3 episodes.
35:10 Word document created with AI episode summaries.
37:12 Direct AI with simple code; needs improvement.

Keywords:
Jordan Wilson, Claude AI, language model, Everyday AI Podcast, podcast summaries, document formatting, model interaction, AI errors, AI execution challenges, API key, Docker usage, virtual desktop, Word document creation, live stream, Anthropic updates, Claude free plan, API key security, Docker installation, Service tier levels, GitHub repositories, AI in Business, Claude's updates, Google Project Jarvis, OpenAI, Microsoft, Salesforce Agent Force, Amazon Bedrock, Google Cloud's Vertex AI, AI agents, Application Programming Interfaces.

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One side of the coin — AI can make it VERY hard to compete when starting a new company.

Other side of the coin — AI can make it MUCH easier to compete when starting a new company.

Rajesh Kandaswamy knows the path.

After spending a decade as a VP and researcher at Gartner, Rajesh learned a few things about building an AI-native company.

He sharing the ins and outs of what it takes to build an AI-first company from the ground up.

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Topics Covered in This Episode:
1. AI First Approach
2. Nourish: An AI-Driven Nutrition App
3. Building with AI from Day One
4. Overcoming AI Challenges
5. Future of Organizations and AI Agents

Timestamps:
00:00 Nourish: AI Diet Tracking App
05:12 AI Transforms Multimodal Communication
08:30 AI-First Organizational Revolution
13:17 AI Partnership for Business Growth
15:01 Future of Affordable and Fast Computing
20:15 Adjusting to AI with Openness
23:30 Embrace Change, Rethink GenAI Limits
26:03 AI Agents Revolutionizing Business Efficiency

Keywords:
AI first company, Gen AI, Large Language Models, technology trends, Gartner, AI agents, AI implementation, nutrition, Nourish, AI first app, tracking food intake, obesity, technological evolution, Value Prop Approach, Agentic AI, hallucination issue in AI, high school interns, digital technology, Commercial Agents, inevitability in technology, AI resources, automatization, organizational models, industrial revolution, AI reliability, investing in AI, machine's intelligence, AI and human processes, company growth, AI strategy.

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Everything in your current AI playbook is about to get shredded, stomped on, and turned into digital confetti.
 
I've spent 2024 living in the bleeding edge of AI development, meticulously tracking AI’s development as my full-time job.
 
And what's coming next….. yikes.
 
↳ We're entering an era where AI doesn't just chat – it REMEMBERS.
↳ Where what us humans know becomes kinda worthless. (Or at least worth less.)
↳ Where specialized models hit harder than a triple espresso shot.
↳ Where different AIs team up like some digital Avengers squad.
 
And AGI?
 
It might just slip through the door while everyone's busy debating if it's possible.
 
We're peeling back the silicon curtain on the last and final installment of our 2025 AI Predictions and Roadmap: AI's Technical Leaps: Memory, Models, and Major Changes.

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Topics Covered in This Episode:
1. Narrow AI Agents
2. LLM Memory
3. LLMs Becoming Small Language Models
4. Mixture of Models
5. AGI is Achieved

Timestamps:
00:00 Live Insights and Trend Spotting
06:25 "Seeking Feedback for Newsletter"
07:44 AGI: Not Coming Anytime Soon
11:11 AI Memory and Context Windows
15:25 "Microsoft's GPT-4 Mini Revelation"
18:32 Open Source Models' Future Evolution
20:47 Small Models Surpassing Larger Ones
25:37 "AGI Achieved? Debating OpenAI's Claim"
28:35 AGI Achieved: Minimal Immediate Impact

Keywords:
AI predictions, AGI, artificial general intelligence, large language models, dumb AI, technical leaps, memory models, everyday AI, AI trends, free daily newsletter, AI experts, podcasts, Microsoft, Google, OpenAI, IBM, agent orchestrators, public companies, AI agents, company reasoning data collection, API prices, AI video tools, AI influencers, AI software, AI regulations, narrow AI agents, LLM memory, context window, OpenAI's memory feature, mixture of models.

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After testing every major AI development and seeing what actually works (and what's just expensive snake oil pushed by know-nothings online)… lemme tell you what 2025's bringing to the table:
 
↳  Regular humans like Jan are about to become kingmakers.
↳  Not just "I-can-use-Canva" queens.
↳  We're talking "I-just-built-an-entire-software-suite-that-3X’ed-our-sales” friggin royalty.
 
We're exposing the REAL future of business tech in Vol 4 of our 2025 AI Predictions and roadmap series: Your Complete AI Toolkit.
 
Miss this one and you'll be the last company still waiting for IT while your competition clones your 2026 roadmap and goes to market in 3 days.
 
The code barrier is DEAD. Time to learn how to play in a world where everyone's a builder and the rules …. Aren’t really there.

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Topics Covered in This Episode:
1. Non-techies Gets Smarter
2. Reasoning wrappers
3. Virtual machines
4. Politicization of AI
5. Global AI Regulation

Timestamps:
00:00 Evolving AI Toolkit: Future Changes
05:24 Predicting Likely Outcomes Live
08:44 Future of App Development Trends
12:04 Adapting to Emerging Reasoning Models
13:29 "Evolution of AI Models"
19:27 Musk's Controversial Government Role
23:29 "Stricter Global AI Regulations Emerging"
24:39 AI's Impact on Global Power

Keywords:
SEO assistant, AI tools, large language models, artificial intelligence, AI toolkit, generative AI, AI predictions, AI influencers, software development, non-technical people, AI applications, GitHub Copilot, Cursor, Windsurfer, Lovable, AI models, reasoning data collection, virtual machines, Windows 365 link, Google's Project Mariner, OpenAI's operator, EU act, AI accountability laws, artificial general intelligence, superintelligence, AI regulation, business applications, natural language processing, structured data, unstructured data.

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After spending 2024 watching EVERY major AI video launch, testing hundreds of tools and features, and consulting for content teams worldwide... let me drop some sweet truth that might taste sour.
 
The content game your biz has been playing the last few years? It's about to get CTRL-ALT-DELETED.
 
What's coming in 2025?
 
↳  I'm talking AI spinning up ENTIRE VIDEO CAMPAIGNS while your marketing team is still scheduling their next brainstorm.
↳  Social feeds so flooded with deepfakes, your customers won't know what's real.
↳  And that massive copyright case? It's about to rewrite how EVERY company thinks about content ownership.
 
We’re breaking down the future of business content in Vol 3 of our 2025 AI Predictions series: Content's AI Revolution.

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Topics Covered in This Episode:
1. Future of AI video tools
2. Social Media and AI
3. AI copyright case
4. AI influencers
5. Rise of AI media

Timestamps:
00:00 AI content in 2025
06:09 AI Images: Reality or Illusion?
09:45 Future of Traditional Internet Questioned
10:29 "AI Dominates Future Web Content"
14:03 Search Engines Impact Online Monetization
18:38 Deepfake Dangers for Teens
21:34 AI Models and Copyright Disputes
24:34 "UGC's Influence Over AI Trends"
26:08 "2025 AI Predictions Recap"

Keywords:
Jordan Wilson, content change, 2025, generative AI, content creation, content distribution, media, Everyday AI, AI Predictions, Content AI Revolution, Videos, Streams, Stars, AI video tools, advanced personalized media, APM, Google Veo, AI content generation, social media, deepfake AI, copyright case, AI influencers, UGC content, OpenAI, Microsoft, New York Times, copyright law, AI regurgitation, embodied AI, AI newsletters, AI photo generator, AI livestream podcast.

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The entire AI market is about to go super-friggin-nova in 2025.
 
↳  I'm not just talking about open source throwing hands with Big Tech (though THAT'S happening).
↳  I'm talking about tectonic shifts that are going to reshape who holds the power, who pays what, how LLMs will work and who's about to get LEFT BEHIND.
↳  From API prices falling through the floor to embodied AI stepping out of sci-fi and into your office – the next wave makes ChatGPT's launch look kinda like a kiddy splash pool.
 
I'm sharing the REAL market forces at play in Vol 2 of our 2025 AI Predictions series: AI Market Forces Collide.

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Topics Covered in This Episode:
1. Prediction of Open Source Models
2. Chinese AI Influence
3. Future of Perplexity
4. Drop in API prices
5. Rise of Embodied AI

Timestamps:
00:00 Jordan's 2024 Predictions Explained
03:28 "AI Market Forces Collide"
09:25 Open Source Surge in AI Models
10:29 Open Source Models Rising
15:32 AI's Political Impact by 2025
19:17 Google's New AI Search Tool
21:53 Open Source Impact on AI Pricing
22:58 Token Pricing Drop for GPT Models
26:35 Embodied AI to Surpass Tesla

Keywords:
AI predictions, Artificial Intelligence, everyday AI, API, AI models, GPT-4, NVIDIA, GTC conference, generative AI, data collection, livestream, AI companies, AI agents, AI model prices, embodied AI, humanoids, OpenAI, Anthropic, Google Gemini, Perplexity, open source models, language models, Chinese AI, AI audio, aqua hire, large language models, autonomous vehicles, drones, wearable AI, robo taxis.

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You know those common good habits and best practices that have worked since the dawn of the digital age?
 
Kiss all that goodbye in 2025 y’all. Your regularly scheduled reality is evolving. AI Agents aren't just changing HOW we work - they're changing who we ARE and what work even means.
 
I’ve spent thousands of hours talking about Generative AI, interviewing hundreds of the world’s AI leaders at big companies like Microsoft, NVIDIA, Google, OpenAI, IBM and others.
 
This week — I’m sharing what’s REALLY happening in our first-ever Podcast Series: 2025 AI Predictions: The Roadmap ahead.
 
We kick off Monday with Vol 1 — Agents.

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Topics Covered in This Episode:
1. AI Agents in 2025
2. AI and Businesses in 2025
3. Discussion on AI Job Market
4. Universal Basic Income and AI

Keywords:
AI agents, professional services, AGI, UBI, AI predictions for 2025, Everyday AI, artificial intelligence, Jordan Wilson, companies, AI education, Microsoft Copilot Studios, Salesforce agent force, AI economy, public companies, AI jobs, agent orchestrators, unstructured data, structured data, reasoning models, AI adoption, AI-based companies, OpenAI, Microsoft, Google, IBM, large language models, generative AI, agent systems, AI reasoning, AI technology.

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With AI taking over, the internet is now broken. Can Google Gemini Deep Research fix it? Join us as we go over what Gemini Research is, how to use it, and if it's the future of how we use the internet.

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Topics Covered in This Episode:
1.  Google Gemini Deep Research Capabilities
2. AI Tools and Deep Research
3. Comparison of AI Research Tools
4. AI Research Implications
5. AI's Impact on Traditional Access to Information

Timestamps:
01:35 Google Deep Research
04:42 Gemini XP 1206: Improved performance, requires subscription.
07:40 Google Gemini's front end wasn't user-friendly.
12:00 Google deep research simplifies information gathering online.
14:31 Mobile access 2025; Perplexity vs ChatGPT search.
17:40 Generative AI struggles with complex unrelated tasks.
21:17 Gemini not available on many workspace accounts.
23:27 OpenAI and Google released significant AI updates.
28:10 Open in Google Docs; not deep research.
29:53 Google Gemini UI/UX praised as excellent.
34:06 Google Gemini front-end broken, backend impressive.
37:56 Research US tiny house communities comprehensively, please.
41:11 OpenAI and Google released numerous AI updates.
45:13 Base models average; Gemini outperforms with A-.
47:53 Comprehensive guide highlighting tiny house communities nationwide.
51:54 Optimize hours for 10x results, minimal research.
54:00 Content monetization challenges with AI disruptors looming.

Keywords:
Jordan Wilson, AI tools, deep research, split test, tiny house communities, ChatGPT, Perplexity, Google's Gemini, AI product releases, research capabilities, reasoning mode, content generation, research efficiency, AI in content creation, AI-generated content errors, AI tools popularity, ad share model, Google Docs, OpenAI, multimedia content, Google Gemini Deep Research, podcast, NVIDIA Jetson Orin Nano Super Developer Kit, Salesforce Hiring Expansion, large language models, internet data, multi-step research tasks, audience interaction, Google Gemini's subscription, iterative prompting.

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ChatGPT's new 'Task' mode is here. Is this some gimmicky feature that'll get glazed over? Or a small step toward Operator, OpenAI's upcoming agentic release? We dive in to find out.

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Topics Covered in This Episode:
 
1. Difference between transformer models and reasoners
2. OpenAI's new reasoning model, o1 Pro
3. Different variations of o1
4. Use-cases for o1 pro
5. ChatGPT Plus Overview: What's included for $200


Timestamps:
 00:00 Exploring OpenAI's O One Pro

05:23 Pay-Per-Use Microsoft AI Unveiled

11:18 GPT Subscription Plan Comparison

17:01 OpenAI's New Model Releases

22:48 GPT-4.0 vs. Pro: Speed vs. Tools

26:05 OpenAI's Affordable Pricing Debate

36:25 Podcast Content Longevity Analysis

37:12 "Evaluating AI Use Case Data"

46:06 AI Milestones and Google's Misstep

52:37 AI Usage Efficiency Comparison

57:10 Multitasking in AI-Driven Work

01:01:14 AGI Prediction and Tool Access

01:03:50 "o One's Efficiency Advantage"

Keywords:
chatgpt, chatgpt podcast, learn chatgpt, o1, o3, o1 pro, openai podcast, openai o1 pro, agentic, chatgpt tasks, gemini, copilot, ai news, generative ai
 

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ChatGPT's new 'Task' mode is here. Is this some gimmicky feature that'll get glazed over? Or a small step toward Operator, OpenAI's upcoming agentic release? We dive in to find out.

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Topics Covered in This Episode:
1. Importance of Context Tasking
3. Task Management in ChatGPT
2. Utility of ChatGPT's Task Feature
3. Limitations and Challenges
4. Opportunities for Future Improvements
5. Agentic AI and Task Automation

Timestamps:
03:00 Daily AI news
05:17 OpenAI's Tasks update dominates today's AI news.
08:51 Access requires subscription; clear cache, update app.
13:15 GPT-4 tasks limited despite $200/month plan.
17:08 Focus on practical, business-oriented AI applications.
17:49 ChatGPT's autonomous tasks are foundational, powerful.
21:46 Frustration with noisy, singing smart appliances daily.
26:41 Converting prompts to tasks using ChatGPT.
27:45 Research daily using chat and browser tools.
33:10 Find top 3 relevant marketing news daily.
34:29 Implement daily AI strategies; reference 2025 innovations.
38:03 Custom instructions per chat require manual context.
41:33 Notify big stock shifts, research reasons.
46:19 Information processing with AI for accurate predictions.

Keywords:
ChatGPT, AI news updates, podcast data analysis, task feature in ChatGPT, OpenAI, personalized AI updates, daily AI news, task management, task stacking, agentic AI, autonomous task automation, task scheduling, GPT-4, repetitive task automation, OpenAI's dominance, context tasking, language models, AI workflow automation, technical limitations, task mode, 2025 AI predictions, Everyday AI, task manager interface, GPT-4 o, Jordan Wilson, podcast "Everyday AI", Cisco AI Defense, Apple Intelligence, advanced task schedules, task notifications.

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Last year, I said don't touch the free version of ChatGPT with a 10-foot pole. Is it still THAT bad? A TON has changed since OpenAI's '12 days of Shipmas' in December. So is the free version of ChatGPT better? Or, are the new paid-only features TOO good to pass up?
 
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Topics Covered in This Episode:
1. ChatGPT Features and Plans
2. Alternatives to ChatGPT
3. Shift in OpenAI's Goals
4. Updates from OpenAI
5. Model Usage and Limits
6. ChatGPT Advice and Recommendations

Timestamps:
03:00 Daily AI news
06:30 ChatGPT free vs. Paid
08:18 Free ChatGPT version significantly improved model performance.
10:00 Free ChatGPT is decent but not superior.
15:03 They aim to replace Google with AI chatbots.
17:22 Custom instructions streamline limited ChatGPT use.
20:21 Canvas Mode enables inline AI document editing.
25:44 Addressing ChatGPT questions; submit queries anytime.
28:39 Google VO 2 superior; limited access available now.
30:18 Free ChatGPT improved, but Plus requires payment.
34:31 Google AI Studio: powerful, free, data-trained trade-off.
37:40 Free ChatGPT exists, full features require payment.
40:48 Google AI Studio best for literature reviews.
44:33 Free version useful, but paid plan recommended.

Keywords:
ChatGPT, OpenAI, Everyday AI podcast, AI developments, AI news, AI infrastructure, AI use risks, AI applications, large language models, ChatGPT plans, GPT-4, ChatGPT free version, ChatGPT Pro, ChatGPT Plus, AI for business, AI data security, Gemini 2, Claude 35 SONET, GPT-4o, Anthropic, Google AI Studio, Meta Lama, Microsoft Copilot, Typing Mind, Microsoft CoreAI, model training, DALL-E Image Generator, Canvas Mode, AI chat tools, context windows

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Is Microsoft laying off thousands because of AI? How did one small box from NVIDIA change the future of work? What are Google’s big AI shakeups? And why is OpenAI getting into humanoid robots? So many AI questions. We’ve got the AI answers with the AI news that matters.
 
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Topics Covered in This Episode:
1. OpenAI Robotics Department
2. NVIDIA's AI Projects and Tech
3. Google's AI Updates and AGI shift
4. Microsoft's Open Source Model
5. Meta speaks on AI and Software Engineering

Timestamps:
00:00 Daily AI news, podcast recaps, expert episodes.
04:34 NVIDIA's CES keynote: Major AI GPU announcements.
06:52 NVIDIA uses generative AI to enhance GPUs.
12:19 Local powerful AI models enhance data security.
16:10 NVIDIA forks Meta's Llama for enterprise AI.
20:44 Google aims for AGI using advanced world models.
22:34 Phi 4: Efficient, powerful, open-source AI model.
25:35 Microsoft prioritizes retaining AI talent with bonuses.
31:34 OpenAI revives robotics department for versatile robots.
35:18 OpenAI urges US to secure AI investments.
39:21 Observations connect over time; predictions often accurate.
40:01 Prediction on AI agent numbers was impactful.

Keywords:
OpenAI, robotics, humanoid robots, adaptive robots, AI models, AI supercomputer, NVIDIA GPUs, DeepMind AI, Microsoft's open-source model, AI automation, Meta software engineering, US AI leadership, AI Predictions, AI industry news, RTX 50 series GPUs, Project Digits, NVIDIA's Grace Blackwell superchip, local AI computing, Cosmos, Isaac Robot Simulation, Nemotron Models, Enterprise AI, DeepMind's World Models, Google’s Artificial General Intelligence, Google AI projects, Microsoft layoffs, Microsoft Phi-4 model, Hugging Face, Coding automation, Meta's AI advancement.

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Do we need AI in a cat tree? Or in a beverage cooler or "smart grill"? Probably not. But that didn't stop the tech companies from trying to literally stuff AI into everything they could for this year's Consumer Electronics Show. There was actually a lot of new and exciting AI tech. Join us as we cover it all.
 
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Topics Covered in This Episode:
1. CES Highlights
2. Top Companies at CES
3. Observations from CES

Timestamps:
00:00 CES filled with AI developments, noteworthy and unnecessary.

06:02 NVIDIA's CES announcements impressive, major updates ahead.

07:55 Ideal for AI researchers running large models.

10:17 Samsung targets enterprise with AI-powered solutions.

13:19 LG Furon AI: Personalized Home Automation Enhancements.

18:14 Consulting firms embrace AI to remain competitive.

21:45 Tech companies create AI models despite data gaps.

24:13 Robotic arm vacuums by picking up objects.

29:56 Prefers durable appliances over smart technology.

30:56 Many AI announcements fail to materialize successfully.

33:43 Concerns over AI appliances and privacy issues.

39:39 Perfectcore launched innovative AI beauty solutions.

40:23 Sign up for AI daily newsletter online.

Keywords:
Jordan Wilson, Everyday AI podcast, CES, Asus Zenbook 14, CyberLink, Perfectcore, Perfect GPT, AI hair solutions, YouCam, NVIDIA, Microsoft, AI systems, LG, Qualcomm, AI chatbots, AI-enabled hardware, NVIDIA Cosmos, AI in Homes, Samsung, Honda, BMW iDrive system, Withings Cardio mirror, Holmes AI platform, NVIDIA's Nemotron AI models, Microsoft's WorkLab podcast, TSMC, Grok app, CES Highlights, AI News, AI in Automotive

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Your data is your moat. Everyone's got AI now. Find out how reliable data can make your competitive edge happen. Barr Moses, Co-Founder and CEO of Monte Carlo, joins us to discuss.

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Topics Covered in This Episode:
1. the Importance of Data
2. Challenges and Opportunities in Leveraging Data
3. Adoption of Data Practices
4. Data Use Case Examples
5.Generative AI, LLMs, and Data Integration

Timestamps:
00:00 Empower AI proficiency with daily insights.
06:02 Data observability ensures reliability and issue resolution.
07:15 Understanding data's importance is crucial for businesses.
13:07 Personalized AI relies on unique enterprise data.
15:20 Large enterprises struggle with data consistency, smaller teams advantage.
19:42 Generative AI analyzes sports data for insights.
22:56 Personalized financial products using reliable data.
23:56 Credit Karma Intune boosts external and internal productivity.
28:02 Peak data reached; synthetic data becomes crucial.
30:36 Recap available on your everydayai.com.

Keywords:
Generative AI, Data Usage, Data Accuracy, High-Quality Data, AI Implementation, Brand Reputation, Small Business Data Management, Data Systems, Trusting Data Sources, Everyday AI Podcast, Microsoft Partnership, Barr Moses, Monte Carlo, Data Downtime, Data Issues, Data Products, Data Observability, Data Adoption Forecast, Smaller Team Advantages, Microsoft WorkLab Podcast, Data Quality Monitor Recommendations, AI and Data Integration, Personalized Financial Products, Coding Assistants, AI for Compliance Reporting, Large Language Models, Synthetic Data, Real-World Data, Data Governance, Data Quality Management.

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Meetings. Speeches. Quick thoughts to self. Those words are more than words. That's your company's secret sauce. Philip Kiely, Head of Developer Relations at Baseten, joins us to discuss.

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Topics Covered in This Episode:
1. AI Transcription Benefits
2. Whisper Model by OpenAI
3. Cost of Transcription
4. Business Applications for AI Transcription

Timestamps:
00:00 Conversations are gold; AI makes them valuable.
03:56 NVIDIA advances exceed Moore's Law; Apple's AI inaccurate.
09:48 Text transcription technology error-prone; manual transcription necessary.
11:19 Whisper V3: Low error rate, multilingual accuracy.
14:58 Whisper rapidly transcribes audio with high efficiency.
17:26 Emotion inflection crucial for text-to-speech synthesis.
23:58 AI transcriptions need human verification for accuracy.
25:35 Chain cheap AI models for efficient calls.
30:53 On-device AI less powerful than cloud AI.
33:07 Build prototypes now; technology improving rapidly.

Keywords:
Whisper by OpenAI, Automatic Speech Recognition, Open-source ASR, Accuracy, Multilingual ASR, MIT licensed, Amazon Transcribe, Whisper V3 Turbo, Live transcription, Speech inflection, ChatGPT, Philip Kiely, Jordan Wilson, Everyday AI podcast, Unstructured data, Anthropic funding, NVIDIA AI advancements, Apple AI alerts, AI transcription, Base 10, Searchable data, AI infrastructure platform, AI cost efficiency, Wearable technology, Voice control, On-device inference, Cloud inference, Speech synthesis, Business applications of transcription, Future of work

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Did Google dethrone OpenAI in December? Could Claude finally catch up? Or will ChatGPT reign supreme in the LLM race of 2025? We break down the LLM landscape in 2025.

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Topics Covered in This Episode:
1. OpenAI’s Dominance in LLM Space
2. Shift Towards Smaller Language Models
3. LLMs and Internet Connectivity
4. OpenAI's Focus and Competition
5. Popularity of Different AI Systems
6. LLM Predictions and Outcomes

Timestamps:
00:00 Discussing future competition in AI development.
02:20 Daily AI news
08:49 Importance of large language models in daily life.
10:31 Who will win AI race: OpenAI, Google, others?
16:30 Focus will shift to business value in 2025.
17:20 New AI models surpass human intelligence benchmarks.
23:13 Chat GPT search frequently stuck in loop.
26:06 OpenAI loses money, key staff, needs resources.
27:51 Listen to WorkLab podcast for AI insights.
30:54 ChatGPT dominates due to user interest.
34:46 Google hid AI tech, affecting market value.
38:03 ChatGPT's interface outpaces stagnant competitors' features.
42:49 Locally run massive models, GPT advancements impressive.
45:09 OpenAI excels in small language models locally.
48:33 Google's groundbreaking December 2024 in AI technology.

Keywords:
OpenAI, ChatGPT, Google Trends, AI systems, Gemini, Perplexity, Claude, large language models, front-end dominance, internet connectivity, ChatGPT search, financial challenges, competition, AI strengths, user data, Microsoft WorkLab Podcast, model parameters, Meta, GPT-4, NVIDIA, small language models, Edge AI, AI race, Everyday AI podcast, Microsoft investment in India, Google DeepMind, NVIDIA RTX 50 series GPU, artificial intelligence, AI knowledge, reasoning models.

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Sam Altman JUST said that AI agents may "join the workforce' in 2025. Just hype? Or a preview of our near future? Tune in to find out about the OpenAI CEO's latest projections and a TON of other AI news that will impact how you work.

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Topics Covered in This Episode:
1. Meta & AI Content
2. OpenAI Media Manager Delay
3. Microsoft's AI Model Research
4. OpenAI's AGI Progress
5. Grok 3 Model Release Delay
6. AI Implementation in Consumer Products

Timestamps:
00:00 OpenAI plans AGI workforce integration by 2025.
04:34 OpenAI preparing for AI workforce integration
08:13 AI agents entering workforce; OpenAI release anticipated.
13:27 Meta halted AI profiles over user concerns.
17:26 Elon Musk's Grok 3 model faces delays.
19:04 Grok AI depends too much on Twitter.
23:23 Generative AI blends and transforms copyrighted content.
25:07 Microsoft invests $80B in AI infrastructure 2023.
30:02 AI model size comparison: Claude, OpenAI, GPT-4.
31:47 Smaller models enable device storage, easing privacy concerns.
35:24 OpenAI pursuing AGI; AI developments face delays.

Keywords:
Meta, AI content, ethical issues, AI-synthesized data, social media scraping, OpenAI, media manager tool, IP concerns, legal challenges, opt-out methods, generative AI, copyright issues, AI training, Microsoft, AI investment, AI model research, model parameters, Claude 3.5 SONNET, GPT-4, AI model size, on-device processing, AGI, AI Agents, Elon Musk, GROC 3, CES, AI advancements, Samsung, AI-enabled fridges, LG

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If we can barely keep up with AI's pace, how do we prepare our kids? Dan Fitzpatrick, Founder and Co-Director of The AI Educator, joins us to discuss where to start.

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Topics Covered in This Episode:
1. Current Education System
2. Resistance to AI in Education
3. AI's Role and Impact on next-gen
4. Alternative Education Methods
5. Skills Gap and AI Integration
6. Role of Parents in Children's AI Usage

Timestamps:
00:00 Preparing children for an AI-driven future.
05:13 NVIDIA powers AI, invests heavily, faces competition.
09:28 Future skills gap and educational inequality concerns.
12:10 Education must adapt to teach AI collaboration.
15:12 Schools restrict Internet; education lacks innovation competition.
19:00 Advanced technologies emerging, awareness lacking in schools.
23:27 Emerging educational alternatives challenge traditional schooling.
24:24 Rising homeschooling due to dissatisfaction, debt concerns.
28:52 Tech remains peripheral; individual innovators self-train.
31:18 Explore AI with your children collaboratively engaging.

Keywords:
Dan Fitzpatrick, education system, house of cards, modern societal needs, Jordan Wilson, Chat GPT moment, AI in education, educational technology, teacher workloads, apathy towards new technology, AI chatbots, Infinite Education, online schooling, AI tutors, Synthesis, homeschooling, AI Impact on Home and Education, Preparing Children for AI, Everyday AI, Russia-China AI Collaboration, Elsevier Journal Resignation, NVIDIA's AI Investment, decentralization of education, private schools, public schools, teacher training, parental control, AI exposure, collaborative activity, future workforce roles

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Just in the past 3 weeks, we've seen enough AI releases for like 3 years. But what AI features and tech tools are actually worth using? We recap and rank the top AI features and tools of 2024.

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Topics Covered in This Episode:
1. Top AI Tools and Features Discussion
2. AI Tools of the Year & Rankings
3. In-depth Discussion of Specific Tools
4. AI Industry Overview

Timestamps:
00:00 Network with tech professionals; explore AI tools.
10:16 Share show for AI tools honorable mention.
12:32 Siri uses ChatGPT for complex queries.
18:09 Inline AI enhances collaborative document editing efficiently.
23:23 ChatGPT search tool flawed after limited beta.
31:06 Cursor went viral as first user-friendly AI.
34:52 Google excelled with Gemini 2.0 updates.
37:56 Google deep research: fast, comprehensive answers engine.
46:17 Use Microsoft 365 Copilot Studio for automation.
50:03 Microsoft Copilot Vision simplifies travel bookings. Limited.
55:32 Iterative prompting guides advanced language models.
01:02:47 Gemini app enables video and voice interaction.
01:07:42 Google's Veo AI video tool released, concerns remain.
01:13:52 Notebook LM prioritizes trust and transparency in AI.
01:15:49 Top AI tools and features 2024 list.

Keywords:
Jordan Wilson, live stream, AI tools ranking, people's choice award, Midjourney v6.1, Microsoft Copilot Studio, Copilot Vision, Notebook LM, Sora, Veo 2, Zapier Agents, AI tool tiers, podcast, AI developments, generative AI, AI tool selection, AI tool ratings, AI 2024, audience participation, Claude's Artifacts, Claude Computer Use, Cursor AI, 11 Labs conversational agents, Google Gemini 2.0, Google Deep Research, HeyGen's new v3 avatars, AI in documents, Canva's Magic Studio, Chat GPT's new search, OpenAI's 01 Pro.

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Yeah, Google won the end of 2024 in the AI wars. But they've dropped the bag more times than any other Big Tech or AI startup. In our last Hot Take Tuesday of 2024, we're gonna break down the $1 trillion dollar mistake that Google made (well.... 5 of them) and examine if they can bounce back in 2025.

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Topics Covered in This Episode:
1. Google's AI Missteps
2. Comparison with Competitors
3. OpenAI's Marketing Strategy and Product Release
4. Google's AI Products and Improvements
5. Google's AI Strategy and Adjustments

Timestamps:
00:00 Google's AI missteps
02:40 Daily AI News
08:29 Deeply invested in AI models and documentation.
10:28 Google fumbled AI strategy with Gemini disaster.
15:21 Google admits demo of Gemini AI was staged.
19:36 Full access: settings on for Google Gemini.
20:18 Trust, transparency crucial for AI enterprise adoption.
26:20 Google's early AI mistakes highlighted competitors' success.
28:41 Unclear model version until recent update.
31:49 Nontechnical leaders explore AI models in enterprises.
36:52 NotebookLM is essential and highly underrated.
37:39 Logan joined Google, boosting AI product management.

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Google is using Claude to improve Gemini? Why is OpenAI looking at building humanoids? What does a $100 billion price tag have to do with AGI?

AI news and big tech didn't take a holiday break. Get caught up with Everyday AI's AI News That Matters.

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Topics Covered in This Episode:
1. Impact of Large Language Models
2. Google's AI Strategy
3. OpenAI's Restructuring and Robotics Research
4. AI Manipulation and Concerns
5. AGI and its Valuation
6. DeepSeek's Open-Source Model
7. Meta's AI Plan for Social Media

Timestamps:
00:00 Open-source AI competes with proprietary models.
04:21 DeepSeek v3: Affordable, open-source model for innovators.
07:39 Meta expands AI characters, faces safety risks.
10:42 OpenAI restructuring as Public Benefit Corporation (PBC).
17:04 Google compares models; Gemini flagged for safety.
19:40 Models often use other models for evaluation.
21:51 Google prioritizes Gemini AI for 2025 growth.
26:29 Google's Gemini lagged behind in updates, ineffective.
31:17 AI's intention economy forecasts, manipulates, sells intentions.
35:13 Hinton warns AI could outsmart humans, urges regulation.
39:24 Microsoft invested in OpenAI; AGI limits tech use.
40:36 Microsoft revised AGI use agreement with OpenAI.

Keywords:
Large Language Models, Google’s AI Focus, Gemini language models, AI evaluation, OpenAI Robotics, AI Manipulation Study, Anticipatory AI, Artificial General Intelligence, DeepSeek, Open-source AI, B3 model, Meta, AI Characters, Social Media AI, OpenAI corporate restructuring, Public Benefit Corporation, AI investment, Anthropic's Claude AI, AI Compliance, AI safety, Synthetic Data, AI User Manipulation, Geoffrey Hinton, AI risks, AI regulation, AGI Valuation, Microsoft-OpenAI partnership, Intellectual property in AI, AGI Potential, Sam Altman.

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Google just dropped its 'Flash Thinking' reasoning model. Is it better than o1?
 
↳ Why is NVIDIA going small?
↳ And OpenAI announced its 03 mode. Why did it skip o2?
↳ ChatGPT's Advanced Voice Mode gets a ton of updates. What do they do?
 
Here's this week's AI News That Matters!

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Topics Covered in This Episode:
1. Google AI Models and Updates
2. ChatGPT Updates
3. ChatGPT Advanced Voice Mode
4. OpenAI's New Reasoning Model
5. Salesforce AI Updates
6. NVIDIA Jetson Orin Nano
7. Meta's Ray-Ban Smart Glasses

Timestamps:
00:00 Daily AI news podcast and newsletter subscription.
05:06 Gemini 2.0 Flash tops in LLM rankings.
07:36 Ray Ban Meta Glasses: AI video, translation available.
11:17 Salesforce hires humans to sell AI product.
14:26 NVIDIA's Nano Super boosts AI performance, affordability.
18:29 VO 2 excels with 4K quality physics videos.
23:17 AI models can deceive by faking alignment.
24:50 Anthropic study highlights AI system behavior variability.
29:40 Google previews AI-mode search with chatbot features.
32:38 Big publishers block access; tech must adapt.
37:32 ChatGPT updates improve app integration functionality.
|40:40 O Three models enhance AI task adoption.
44:09 Current AI hasn't achieved AGI, needs tool use.
45:52 O three model may achieve AGI, costly access.
48:17 Share our AI content; support appreciated.

Keywords:
Google AI Mode, Gemini AI chatbot, refining searches, ChatGPT updates, OpenAI, AI integration in search engines, Salesforce AgentForce 2.0, Capgemini survey, AI security risks, NVIDIA Jetson Orin Nano, Edge AI, Google VO 2, video generation model, YouTube Shorts, AI alignment faking, Anthropic research, Google's Gemini 2.0 Flash Thinking, multimodal reasoning, Meta's Ray-Ban Smart Glasses, real-time language translation, Shazam integration, OpenAI 03 reasoning model, artificial general intelligence, ARC AGI benchmark, AI capabilities, high costs of AI, Google updates, Meta updates, Salesforce updates, NVIDIA updates.

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GenAI is revolutionizing healthcare, driving innovation in patient outcomes, provider support, and operational efficiency. But with new technology come challenges: What hurdles stand in the way of adoption? We’ll explore the transformative potential of GenAI, the real-world obstacles, and how it’s redefining the future of medicine with William Horton, Staff Machine Learning Engineer at Included Health.

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Topics Covered in This Episode:
1. AI Usage in Healthcare
2. Opportunities and Concerns of AI in Healthcare
3. Future of Healthcare with AI
4. Challenges in U.S. healthcare
5. System Integration and Data Interoperability

Timestamps:
00:00 Google integrates Gemini AI into search functionality.
04:04 Gemini 2.0 allows multimodal interactions, competitor.
08:57 Gen AI advances in healthcare administration and care.
11:05 HIPAA ensures data protection with BAAs.
13:23 Reducing physician burnout by minimizing administrative tasks.
18:37 Virtual triage by intelligent bots for symptoms.
22:33 AI parallels self-driving cars: apprehensive adoption persists.
25:54 Using AI for personal health data analysis.
28:26 AI privacy concerns impact doctor-patient conversations.|
31:24 AI, personal data, and healthcare integration trend.
33:08 AI empowers patients, despite valid fears.

Keywords:
AI in healthcare, Jordan Wilson, youreverydayai.com, healthcare podcasts, AI tools in healthcare, audience engagement, ChatGPT, Claude, Gemini, AI medical diagnostics, AI in healthcare challenges, privacy concerns with AI, HIPAA compliance, virtual healthcare, wearable technology, AI and patient empowerment, AI and healthcare system improvement, physician shortages, telemedicine, AI-based triage, AI medical scribing, multimodal models in healthcare, data interoperability in healthcare. healthcare industry standards, FHIR, Google Gemini, OpenAI, William Horton, Included Health, machine learning in healthcare.

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AI is just for keyboard smashers, right? Not really. When it comes to Generative AI, there might be another vertical ripe for disruption: frontline workers. How can Generative AI make their lives a bit easier? AI Lagunas, Co-Founder of Levee, joins us to discuss.

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Topics Covered in This Episode:
1.  Al Lagunas's Background
2. The Levee App
3. Challenges and Solutions in Automating Tasks with AI
4. Technology Adoption
5. Use of AR/VR in Employee Training
6. Gen AI's Role for Frontline Workers

Timestamps:
00:00 Generative AI's impact on frontline workers discussed.
03:29 AI models may deceptively mislead developers' intentions.
09:30 Product not suited for hotel workers' needs.
12:44 Big brands ensure consistent guest experience standards.
13:52 Helping housekeepers maintain room standard efficiently.
19:19 Addressing blue-collar labor shortages with software.
20:11 Gather data, use AI tools, support workers.
26:25 Deploying user-friendly tech for frontline workers.
29:30 "Early investment foresight enabling AR/VR advancements."
31:32 Educate users creatively, using gamification incentives.
34:40 Gen AI simplifies routine tasks for efficiency.

Keywords:
Al Lagunas, IME sensors, smart cleaning model, hotel cleaning tools, DoubleTree, hotel room cleaning, Levee app, AI for cleanliness verification, brand standards, Marriott, Hilton, housekeeping workload, Jordan Wilson, intrusive technology, AI for mindless tasks, worker shortage, new job opportunities, AI integration, hardware adoption, AR/VR glasses, employee training, AI adoption resistance, hotel operations efficiency, labor shortages, robotics and AI, Gong sales process, generative AI, Gen AI, Levy fundraising, AI for frontline workers.

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Perplexity Killer: Google Gemini's Deep Research? (Also, is it weird saying that a trillion dollar tech behemoth is the one threatening the startup? lolz). Join us as we go over what Gemini Research is, how to use it, and if it's the future of how we use the internet.

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Topics Covered in This Episode:
1.  Google Gemini Deep Research Capabilities
2. AI Tools and Deep Research
3. Comparison of AI Research Tools
4. AI Research Implications
5. AI's Impact on Traditional Access to Information

Timestamps:
02:05 Daily AI news
04:42 Gemini XP 1206: Improved performance, requires subscription.
07:40 Google Gemini's front end wasn't user-friendly.
12:00 Google deep research simplifies information gathering online.
14:31 Mobile access 2025; Perplexity vs ChatGPT search.
17:40 Generative AI struggles with complex unrelated tasks.
21:17 Gemini not available on many workspace accounts.
23:27 OpenAI and Google released significant AI updates.
28:10 Open in Google Docs; not deep research.
29:53 Google Gemini UI/UX praised as excellent.
34:06 Google Gemini front-end broken, backend impressive.
37:56 Research US tiny house communities comprehensively, please.
41:11 OpenAI and Google released numerous AI updates.
45:13 Base models average; Gemini outperforms with A-.
47:53 Comprehensive guide highlighting tiny house communities nationwide.
51:54 Optimize hours for 10x results, minimal research.
54:00 Content monetization challenges with AI disruptors looming.

Keywords:
Jordan Wilson, AI tools, deep research, split test, tiny house communities, ChatGPT, Perplexity, Google's Gemini, AI product releases, research capabilities, reasoning mode, content generation, research efficiency, AI in content creation, AI-generated content errors, AI tools popularity, ad share model, Google Docs, OpenAI, multimedia content, Google Gemini Deep Research, podcast, NVIDIA Jetson Orin Nano Super Developer Kit, Salesforce Hiring Expansion, large language models, internet data, multi-step research tasks, audience interaction, Google Gemini's subscription, iterative prompting.

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Is ChatGPT's new 'Projects' mode a game-changer? Or just a polished imitation of Projects from Anthropic's Claude? Welp.... there's a lot more than meets the eye.
We've given ChatGPT's new Projects mode a deep test, to bring you 3 time-saving hacks we figured out.

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Topics Covered in This Episode:
1. Breakdown of ChatGPT's Projects Mode
2. Pros and Cons of ChatGPT Projects
3. ChatGPT Misconceptions
4. Custom GPTs vs. Projects
5. ChatGPT Projects vs. Claude Projects

Timestamps:
02:00 Daily AI News
06:17 ChatGPT Projects: Usage tips and unpublicized hacks.
10:12 Folders for organizing chats now available.
12:54 Prefers project-level custom instructions over global ones.
16:10 GPTs top, projects middle, chats bottom, files limited.
18:21 Custom GPTs vs Projects: personalization vs. workflow management.
22:40 Claude: Longer context, limited chat integration.
24:39 GPT model can be changed; use workaround.
27:35 Attach project files in designated "add files" area.
30:58 ChatGPT now uses uploaded files for queries.
36:30 Using GPT-4o mode efficiently for projects.
38:33 Manually upload chats as project files for context.
40:30 Be cautious of AI hallucinations, improve prompts.
43:46 Use one document for chat context updates.

Keywords:
Jordan Wilson, Everyday AI, ChatGPT, Projects Mode, OpenAI, AI advancements, Salesforce Agent Force 2.0, ChatGPT Search Update, Google Video Generation - VO 2, livestream, organization, workflow improvement, Audience Engagement, livestream tutorials, prompt engineering, ChatGPT Chrome extension, custom instructions, AI hallucinations, AI for business, document handling, GPTs vs Projects, Claude Projects, organized chats, project management tips, transcript upload, business automation, buggy systems, model limitations, model cloaking hack, project customization.

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Did you see Google quietly released real-time AI. Apple might be coming out with the cheapest AI phone to date. And OpenAI and Google were like two heavyweights going 12 rounds, blow for blow with new AI releases. Yikes. We bring you the AI news that matters.

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Topics Covered in This Episode:
1. OpenAI Updates
2. Apple Intelligence Update
3. Eric Schmidt on AI
4. Klarna's Use of AI
5. Google AI updates
6. Microsoft AI models

Timestamps:
00:00 AI week: OpenAI vs. Google updates battle.
06:16 New chat tool added, Python only, limitations.
09:53 OpenAI's ChatGPT launches project organization features.
11:05 Create chats, access documents, update projects easily.
16:50 Eric Schmidt concerns self-improving AI, suggests monitoring.
19:27 Klarna still hiring, despite AI job replacements.
21:49 Devon enhances code workflow with automated tasks.
24:45 Future: Specialized small models using synthetic data.
31:03 Sign up for Google's trusted tester program.
34:27 Google's Android XR: Smart glasses with AI assistant.
37:03 Google launches NotebookLM Plus with paid tier.
40:30 Google's Project Mariner: AI web navigation extension.
41:53 Only works in active Chrome tabs.
47:35 Google AI Studio offers advanced features now.
48:35 Become your company's AI expert; share widely!

Keywords:
OpenAI, ChatGPT, projects feature, Apple Intelligence Update, Siri, Eric Schmidt, AI innovation, Klarna, workforce automation, Cognition's Devon, Microsoft's PHI 4, Gemini 2.0, Google Agent Space, Project Astra, Android XR, NotebookLM Plus, Project Mariner, Jordan Wilson, AI podcast, Notebook LM audio feature, Deep Research, Perplexity, Google AI Studio, advanced voice mode, Everyday AI, AI week, Sora, Canvas tool, video generation, screen share capabilities

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Humans get licensed. Doctors. CPAs. Beauticians. As they increase in agency, should AI agents have to get licensed as well?  Dr. Denise Turley joins us to discuss.

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Topics Covered in This Episode:
1. Licensing AI agents
2. AI agents' functionality and limitations
3. Regulatory aspects of licensing AI agents
4. Complexity of Integrating AI

Timestamps:
00:00 Should AI be licensed like human professionals?
05:35 Safeguarding AI: Implementing necessary guardrails and licensing.
07:33 Autonomous agents' power versus responsibility explored.
12:53 Agents as workforce require careful management now.
16:02 AI offers friendly, empathetic interactions, but risks persist.
19:40 Ensure lifecycle testing and evaluate AI output consistently.
21:46 AI will transform daily life and interactions.
24:38 Ways AI can assist in daily life

Keywords:
AI Avatars, Professional Settings, AI Skill Management, Medical Advice from AI, AI Misdiagnosis, Licensing AI Agents, Quality of AI Services, Oversight of AI, AI Relicensing, AI Intelligence, Human Supervision of AI, Robots at Home, Medical Treatment by AI, Trust in AI, AI for Driving, AI in Homes, AI and Human Connection, Licensing AI Agents, Human Interaction with AI, AI Accountability, AI Safety, Ensuring Human Interest, AI Agent Certification, Business use of AI, Virtual AI Human Cell, AI Capability Enhancement, Use of AI at US Chamber of Commerce, AI Rollout, Balance between AI Autonomy and Accountability, Personal Relationship with AI.

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o1 Pro?
Sora?
Apple Intelligence?
Canvas coding?
 
Huh?
 
We're only halfway through OpenAI's '12 Days of OpenAI' yet everyone's favorite AI chatbot has already gotten a facelift in a half.
 
Can't keep up?
 
Confused with what's been announced so far?
 
Join us live, and we'll break it all down.

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Topics Covered in This Episode:

1. Expansion of OpenAI's Reinforcement Fine Tuning Research Program
2. Updates to Canvas in OpenAI's ChatGPT
3. Google's AI advancements including Gemini 2.0 Flash
4. Google's deep research tool and its market implications
5. Day 1 of OpenAI's 12-day feature release event
6. O1 model and Chat GPT Pro announcement
7. Predictions on further premium features in AI plans
8. Canvas and ChatGPT integration
9. Siri and ChatGPT integration in Apple's devices
10. Discussion on Sora, OpenAI's text-to-video model
11. Limitations and the future of Sora's availability
12. Account tiers and upgrade limitations in OpenAI's offering
13. Competitive landscape: OpenAI, Google, and Gemini
14. Opinion on Google's market strategy
15. Personal user experience with Google's deep research tool
16. Predictions about OpenAI's upcoming releases

Timestamps:
00:00 Google dominates AI news with significant updates.

04:46 Gemini 2.0 powers AI for web interactions.

06:55 Google's Astra app: multilingual, memory, screen sharing.

12:55 O one excels in data-intensive fields.

14:17 Premium AI plans will cost hundreds monthly.

16:58 Using large language models for initial thinking.

21:19 Affordable AI simplifies costly advertising campaigns greatly.

24:29 AI storyboard improves video coherence control.

28:01 Simplified model tuning clarity over cost, complexity.

30:38 Sponsor show for coffee mentions; Canvas updates.

34:25 Canvas now available in GPT for free users.

36:16 Interactive writing and coding with ChatGPT Canvas.

41:12 Prefers Google voice over Apple Siri/Alexa.

45:09 Google Gemini front end gets crucial updates.

48:41 OpenAI to release ChatGPT projects and voice updates.

49:28 Upcoming GPT model with internet and upload capabilities.

 

Keywords:
Reinforcement Fine Tuning Research Program, custom AI model development, reinforcement learning, reward-driven loops, specialized models, narrow domains, OpenAI, Canvas in ChatGPT, Python code in GPT, collaborative writing with GPT, ChatGPT Pro, Gemini 2.0

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You think AI is a technical implementation? 🤔
 
Nope.
 
It's about the people.

Join Jordan and Lenovo's Rick Kreuser to find out why scaling AI is actually a people first challenge, not a technical one.

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Topics Covered in This Episode:

1. Misconceptions about AI scaling as a technical challenge
2. Introduction to Lenovo's AI Center of Excellence
3. Importance of defining business outcomes in AI implementation
4. AI as a people-first challenge and its implications
5. The 'unlearning' concept in AI adaptation
6. The impact of AI on productivity and workforce
7. Importance of transparency in AI adaptation
8. Discussing Lenovo's internal AI use case (Studio AI)
9. Future predictions for AI: on-device AI and multi-agent environments
10. AI's impact on the future of work
11. Concepts of responsible AI
12. Brief overview of Lenovo's AI policy and governance committee.

Timestamps:
00:00 Visit website for free AI content and resources.

04:24 Start AI with a clear outcome in mind.

07:21 Embrace AI to transform and enhance work.

11:52 Leadership alignment is crucial for AI implementation.

14:20 Personal productivity successes not always shared internally.

19:30 Organizations must consider the human side when scaling AI.

21:10 AI now dominates US market's top companies.

24:32 On-device AI becomes accessible; alternatives emerge.

27:04 Sign up for informative AI newsletter recap.

 

Keywords:
Scaling AI, technical challenge, generative AI, inference cost, organization, people first challenge, AI in businesses, daily podcast, livestream, AI content, AI news, AI center of excellence, leadership, productivity, efficiency, Lenovo, technology, security, process, responsible AI, AI discover, AI policy, governance, AI outcomes, AI deployment, on-device AI, language models, motorola, business strategies, AI journey


Ep 420: Why scaling AI is a people-first challenge with Lenovo's Rick Kreuser 

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❓ Will AI take my job?
 
❓ What AI skills are most important?
 
❓ How should my company be planning our LLM strategy?
 
❓ Are you an AI bot?
 
I've talked to hundreds of the smartest people in the world on AI and asked them all of the burning questions.
 
We're flipping the tables with this episode -- you can put ME on the hot seat.
 
Get your questions in now, and I'll be answering them live on this special edition of Everyday AI.


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Topics Covered in This Episode:

1. AI News 
2. Rapid-Fire Audience Questions
3. AI Fears and Apprehensions
4. Email Management with AI
5. Everyday AI's Future Plans
6. AI Use in Podcast Planning
7. AI Effects on Human Interactions
8. AI in Email Management
9. AI tools Usage and Preferences
10. Everyday AI Team Dynamics
11. AI Use on the Web
12. AI Free Market
13. OpenAI Future Announcements
14. AI Trends and Models
15. AI Model Testing and Preferences
16. Sora Processing Plan

Timestamps:
00:00 Sign up for daily newsletter, Meta's nuclear AI.

06:12 Technical difficulties prevented planned live Q&A.

08:22 Transitioning to Windows to use AI for emails.

12:05 Relying on sponsors, podcast not profitable.

16:25 Prefers MeetGeek and Otter over Google Gemini.

19:19 Ensure guests fill form; use narrowed GPT.

24:02 AI content ubiquitous; human connection remains irreplaceable.

25:55 AI replacing human interaction may become normal.

27:43 Expect more value soon from $200 plan.

33:14 Primarily uses 3.5 SONNET; plans testing Nova.

34:28 Haven't tried Sora $200 plan yet due to busyness.

40:13 Everyday AI: Learn, collaborate, and explore together.

40:47 Join live stream, newsletter for AI updates.

Keywords:
Everyday AI, Jordan Wilson, OpenAI, Google, Microsoft, Meta, nuclear energy, AI projects, quantum computing, Willow chip, Sora video tool, technical difficulties, live stream, audience questions, AI in email management, LinkedIn, AI concerns, AI future, AI accessibility, AI in communication, AI in human experience, AI tools, Chat GPT, CoPilot, AI-free services, Artificial General Intelligence (AGI), AI in entertainment, AI in gaming, custom GPTs, notebook LM.

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No joke.... this has been the busiest week in GenAI news. Ever.
 
Amazon -- releases frontier models.
Meta -- brings us a new Llama.
OpenAI -- new models and features
Google -- shipping AI literally everywhere
 
What happened? Why is all of this happening now? We'll dive in, and make you the smartest person in AI at your company.

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Topics Covered in This Episode:
1. Amazon AI Developments
2. Eleven Labs Voice Agents
3. Microsoft AI Developments
4. Google AI Model Updates
5. xAI Updates
6. OpenAI's Latest Releases and Plans
7. Meta's Llama 3.3 Model
6. OpenAI-Microsoft Relationship

Timestamps:
03:00 OpenAI o1 Pro: Elevated AI, exclusive, costly.
08:14 Copilot Vision provides insights, prioritizes privacy, feedback-driven.
11:58 Gemini surpasses OpenAI GPT-4 in leaderboard.
13:58 Google DeepMind outperforms ENS weather, AI advancements
19:47 Amazon's model surpasses OpenAI's context window.
22:27 Amazon quickly reaches top-tier model status.
24:33 11 Labs platform: multilingual AI for customer interaction.
29:12 Musk criticizes OpenAI, joins government, impacts technology.
33:24 OpenAI discusses removing AGI access clause with Microsoft.
34:51 OpenAI's redefined AGI criticized by Elon Musk.
40:47 A sneaky release of a semi-open model.
44:51 Advanced voice mode updates, some features rumored.
46:47 OpenAI announces operator preview, waitlist expected.

Keywords:
Jordan Wilson, everydayai.com, Amazon Frontier model, ChatGPT, AWS, Nova Canvas, Nova Reel, Anthropic, Eleven Labs, David Sachs, Microsoft Gemini Live, Microsoft Copilot Vision, Google Gemini 1206, Google Gencast, Google Veo, Google Genie 2, Sundar Pichai, XAI, Elon Musk, OpenAI o1 pro model, ChatGPT Pro, AGI definition, Meta Llama 3.3 model, OpenAI-Microsoft relationship, OpenAI public benefit corporation, OpenAI restructuring, AI regulations, Department of Government Efficiency, Large language models, AI development

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Did you see that Coca-Cola holiday AI commercial!? It's been all the buzz lately. There were more than a dozen humans that worked on the project. Think that's shocking? Wait until you hear the REAL story and a new way that Coca-Cola is partnering with Microsoft to create some real magic.

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Topics Covered in This Episode:
1. AI and Coca Cola
2. AI beyond Chatbots
3. AI and Microsoft Azure Foundry
4. AI Usage in Coca Cola Campaigns

Timestamps:
00:00 AI empowers creativity and consumer connection daily.
05:57 Custom snow globes created using Microsoft technology.
10:11 Discussing Coca-Cola's nostalgic Santa Claus depiction challenges.
12:19 Reimagining Santa authentically with cutting-edge technology.
15:13 Started Gen AI and OpenAI collaboration in 2022.
18:30 Combining human creativity and AI technology.
22:27 Trustworthy AI is crucial for responsible deployment.
23:50 Generative AI offers unique consumer connections.

Keywords:
AI, generative AI, Copilot, productivity, consumers, everyday AI, artificial intelligence, Microsoft WorkLab, Azure AI, Microsoft Ignite conference, Pratik Thakar, Coca Cola Company, digital twin, Leonardo AI, chatbot, Outlook calendar, Marco Casalaina, Create Real Magic campaign, Microsoft, marketing, commercials, AI commercials, AI Foundry, programming model, trustworthy AI, ethical prompting strategy, technology, digital marketing, nostalgia, Coca Cola Santa.

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🚨Breaking: OpenAI’s New o1 and ChatGPT Pro🚨
 
A double dose of Everyday AI today? Yup.
Emergency episode dropping...... NOW!

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Topics Covered in This Episode:
1. Details about the O1 Pro Model
2. O1 Model Capabilities and Applications
3. OpenAI's Pricing Strategy and Market Position
4. Product Releases and Future Predictions

Timestamps:
00:00 OpenAI's new models: $200/month, impacts access.
04:18 OpenAI's new model claims to be top.
08:56 Consider $200 plan for advanced GPT usage.
12:04 Upcoming API release boosts AI technology integration.
14:38 Benchmarking shows significant improvement in model reliability.
19:21 GPT-4 simplifies complex tasks efficiently, without humans.
20:46 Automated reasoning model simplifies route planning tasks.
24:24 Can't upload PDFs/spreadsheets; PNGs, JPEGs allowed.
27:37 Model now allows photo uploads for analysis.
30:24 Fast analysis, metric creation, implementation plan generated.
35:29 OpenAI prioritized market capture over immediate profitability.
37:34 Advanced tools lacking in $20/month tier.

Keywords:
OpenAI, Jordan Wilson, ChatGPT Plus, O1 Pro, subscription plans, generative AI, software development, research, analytics, benchmark performance, API, evaluation setting, LLM, unlimited voice mode, financial challenges, competition, Google, Anthropic, Mistral, Meta, market share, GPT 4.5, "12 days of ship miss" event, advanced voice mode, internet browsing capabilities, file uploads, effective data analysis, business applications, reasoning and logic, YouTube metrics.

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What happens when AI is more intelligent than humans? Alexia Cambon, Senior Director of Research at Microsoft says it's about focusing on your rarified skills. She joins us to discuss:

↳ What parts of our roles should we hand to AI?
↳ What are important skill in the short term vs. long term?
↳ And what can Taylor Swift teach you about future-proofing your career in an AI native world?

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Topics Covered in This Episode:
1. Microsoft's Research
2. Skills in the AI Era
3. Short-term Skills and Long-term Skills
4. AI Adoption and Use
5. Impact on Workflows
6.  Generative AI Shifts

Timestamps:
00:00 What skills do we need for the future?
06:14 AI will verify AI aptitude and emerging skills.
07:04 AI enhances technical skills; humans contribute lived experience.
11:44 Effective AI delegation skills benefit leadership roles.
15:09 BYO AI creates employee-leadership speed dichotomy.
19:20 Identifying generative AI shifts using data trends.
21:52 Copilot reduces email time, revolutionizes communication.
24:10 AI lacks personal connection, unlike Taylor Swift.
28:40 Ideas are priceless in AI-driven era.
30:12 Enjoy fresh insights and free AI newsletter.

Keywords:
AI management, soft skills, empathy, technical skills, future leadership roles, AI adoption, information workers, shadow AI, productivity, profitability, human creativity, storytelling, data analysis, unique human contributions, personal experiences, existential threat posed by AI, human connection, rare skills, AI aptitude, AI trends, large language models, democratizing intelligence, telemetry data, Work Trend Index reports, LinkedIn profiles, AI as a personal assistant, AI in email management, Microsoft AI Copilot, reskilling, Taylor Swift song.

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LLMs like ChatGPT may become commoditized. What's the end game? It could all be a fight for your search bar. Andrew Amann, CEO of NineTwoThree AI Studio, joins us to explain why.
 
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Topics Covered in This Episode:
1. AI Search Integration, Privacy, and Security Concerns
2. Government Intervention and Competition
3. AI Understanding and Adoption
4. SEO Impact on Small Businesses
5. Control of Search Bar on Phone

Timestamps:
01:50 About Andrew and NineTwoThree AI Studio
05:55 Companies racing to own data for AI assistants.
09:57 Companies aim to optimize data for accurate answers.
10:57 Tech giants aim for dominance with predictive AI.
16:11 Focus on long-tail keywords for SEO success.
20:52 Neptune focus: Hardware-integrated language model advantages.
24:04 Privacy concerns arise from app data integration.
27:07 Learn AI basics for practical daily use.

Keywords:
Andrew Amann, AI integration, independent apps, privacy concerns, Google data control, data security, alternatives to Google, monopolizing search capabilities, AI development, AI basics, tech trends, Bitcoin, Internet, search bars, trusted assistants, personal information, Google payment to Apple, default search engine, ChatGPT, preemption of user questions, secure devices, app interaction, business implications, AI competition, online presence, commoditization of large language models, AI understanding, misleading AI promotions, AI race, information management.

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AI is taking over search. Whether you love em or hate em, LLM-powered searches are coming for your devices.
 
↳ ChatGPT Search and its Chrome extension.
↳ Google's AI overviews.
↳ Perplexity.
 
How we interface with the web is quickly changing, so you need to know how each platform works and the pros and cons of each.
 
We break it all down for you.

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Topics Covered in This Episode:
1. Significance of AI in Search Engines
2. Big Tech Developments in AI search
3. Competitive Landscape in AI Search Solutions
4. LLM AI Search Evaluations

Timestamps:
03:10 Daily AI news
07:00 Why real-time search is relevant
11:08 ChatGPT Chrome extension alters search provider warning.
14:04 AI enhances search, Google AI overview expands capabilities.
17:25 Exploring AI in business with Microsoft WorkLab.
20:44 Toggle search in chat for scoring sports.
25:11 Real-time Twitter info can be problematic.
26:22 Grok passes, Meta AI offers free version.
31:34 Prefers concise chat over tedious weather apps.
34:35 Judging news stories objectively, despite biases.
38:14 AI stocks and news possibly outdated.
40:45 ChatGPT's new search suggests Chicago pizza places.
42:50 Appreciate ChatGPT's location maps feature.
46:05 Apple has largest market cap at $3.6 trillion.
50:23 Evaluating options to resolve potential ties.
54:46 Perplexity struggles with hallucinations and inaccuracies now.
56:24 Perplexity struggles to answer specific product queries.

Keywords:
AI tools, search capabilities, sports search queries, Chat GPT, Perplexity, Gemini, Microsoft Copilot, Grok, Meta AI, evaluation criteria, NVIDIA's stock price, Everyday AI, Jordan Wilson, AI impact on internet usage, AI News, Intel CEO resignation, Ted Cruz and AI Regulation, World Labs Innovation, Google's market share, AI-enhanced search technology, OpenAI's ChatGPT Search, AI in search engines, Competitive landscape in AI search, Microsoft's WorkLab, AI customer service, Perplexity Pro, AI and phone search bars, Large Language Models (LLMs), User interaction, AI performance evaluation.

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SORA Leaked and now OpenAI squashed it. Will it ever come?
Elon is picking more fights with OpenAI -- can he win?
Claude is shipping like ships that need to ship, but does it matter?

↳ So many AI questions.
↳ We'll have the AI answers.
Here's this week's AI news that matters.

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Topics Covered in This Episode:
1. Controversy Over OpenAI Sora
2. Anthropic's Innovations
3. Alibaba's New Experimental Model
4. Uber's AI Expansion
5. NVIDIA's Fugato Model
6. AI Video Advancements
7. OpenAI’s Revenue Strategies
8. Lawsuit Against OpenAI and Microsoft by Elon Musk

Timestamps:
00:00 OpenAI's Sora: Controversy over artist involvement.
03:23 Artists criticize OpenAI's exploitative, controlling practices.
06:39 Leak increased interest in Sora, revealing features.
11:17 Anthropic's open-source AI enhances internal data connectivity.
15:36 Claude struggles with steering tone and maintaining structure.
17:33 Reasoning models offer thought process and fact-checking.
23:26 NVIDIA unveils Fugato, pioneering generative audio model.
25:04 Analyzing audio clips for frequency and reverb.
31:09 Horizontal video transformed into vertical with AI.
31:57 Expanding video perspectives using AI-generated content.
35:34 11 Labs' GenFM: Multi-speaker podcasts with AI voices.
40:09 Musk lawsuit claims OpenAI's profit harms competition.
44:36 Multiple AI models released; robotics raise concerns.

Keywords:
Everyday AI, Jordan Wilson, OpenAI, Sora leak, PR puppets, unpaid labor, YouTube content, Sora models, text-to-video tool, Anthropic, Model Context Protocol, Claude AI, Alibaba, QWQ 32B Preview, Uber Technologies, Scaled Solutions, gig economy, AI development outsourcing, labor market, NVIDIA Fugato, audio synthesis, AI Video Advancements, Luma Labs Dream Machine, LTX Video, AI autonomy, 11 Labs GenFM, Elon Musk lawsuit, Anti-Competitive Behavior, XAI, ChatGPT advertising

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The LLM implementation strategy so far has been:
↳ Choose an AI chatbot
↳ Find a quiet place
↳ Ignore humans
↳ Talk to bots

That ain't how AI-first workplaces are supposed to be. Derek Snyder, Senior Director, Microsoft 365 at Microsoft showed us a better way. And Derek gave us a sneak peak at Microsoft Ignite of some collaborative AI features Microsoft's been cooking up. 

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Topics Covered in This Episode:
1. Understanding Microsoft Copilot
2. Benefits of Using Copilot Pages
3. New features in Copilot Pages
4. Use Case of Copilot Pages

Timestamps:
00:00 Generative AI as team sport, Microsoft Copilot.
05:24 Future of Microsoft Copilot, Pages vs. Word.
06:59 Use Copilot pages for ideation and iteration.
11:53 Copilot pages enable collaborative, split-screen experiences.
15:14 Copilot pages felt foreign yet familiar, transformative.
19:18 Multi-page support with interactive data visuals.
23:22 Grounding aligns conference session content seamlessly.
26:17 Leverage AI for outcome-focused business strategies.

Keywords:
Jordan Wilson, Derek Snyder, Copilot Pages, Microsoft Ignite, Chicago, Everyday AI, productivity, Microsoft Copilot, team sport, dual pane workflow, daily newsletter, Microsoft 365 apps, Office apps, Word, Excel, PowerPoint, Outlook, OneNote, AI years, BizChat, Microsoft Word, loop technology, component, Microsoft Planner, brk285, Microsoft Graph, org chart, grounding, asynchronous work, outcomes

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I've gone undercover. Actually, I'm incognito digging up dirt all the time for the Everyday AI crew. And this past week at Microsoft's Ignite Conference in Chicago, I was digging deep into dozens of conversations with industry leaders to unearth the AI gems that will put you ahead of everyone else. 11 of them, actually.

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Topics Covered in This Episode:
1. Microsoft Ignite Conference
2. Proliferation of AI agents
3. Importance of Foundational AI Knowledge
4. Rising AI companies
5. Microsoft 365 Copilot Licensing
6. Future of Personalized AI Content
7. Dominance of Microsoft in AI Innovation

Timestamps:
02:05 Daily AI news
06:00 Microsoft Ignite conference recap
09:52 Interviewed AI leaders; shows coming soon.
12:20 No clear guide for Microsoft Copilot usage.
14:12 Choose outcome first with Microsoft Copilot AI.
18:26 AI hype impacts stock trends for companies.
21:29 IT leaders worry cost, not ROI focus.
24:47 Companies gaining time but lack conversion strategy.
29:05 AI agents become the trendy focus everywhere.
31:38 Microsoft's smaller AI tools offer bigger returns.
34:00 Copilot Studio simplifies communication and task management.
38:48 People prioritize cost over functionality and solutions.
40:34 AI tools largely built on general-purpose GPUs.
46:11 Undercover AI trends across various sectors revealed.

Keywords:
Jordan Wilson, Everyday AI Show, daily newsletter, AI in daily life, AI in business, Microsoft Ignite Conference, Anthropic's Model Context Protocol, NVIDIA's Fugato, AI in Government Policy, Microsoft Copilot, AI adoption, AI costs, AI job market, AI and competitiveness, AI trends, benefits of AI, AI agents, AI misuse, AI in small businesses, Microsoft 365 Copilot licenses, ROI in AI, AI training, personalized AI, AI advancements, market perception of AI, AI in tech companies, generative AI, AI copilots, AI feature rollout, AI in social media

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Big Tech is fighting each other for every scrap of the AI pie.
 
↳ Google clapped back at OpenAI
↳ Amazon invests another $4 billion in AI
↳ OpenAI is going after a bigger piece of the market
↳ Microsoft silently drops some of 2024's biggest AI updates

Here's this week's AI news that matters.

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Topics Covered in This Episode:
1. New Developments at OpenAI
2. Apple's AI Developments
3. Google’s Gemini 1121 model
4. DeepSeek's r1 Lite Preview
5. Amazon's Investment in Anthropic
6. OpenAI's Legal Issue
7. US AI Policy Shift
8. Microsoft AI Innovations

Timestamps:
00:00 Google's Gemini leads AI chatbot arena rankings.
06:07 Google Gemini's latest model available via API.
09:50 DeepSeek lacks API and open code release.
10:44 R one lite preview is free, daily limit.
16:21 Google may divest Chrome due to monopoly concerns.
19:39 Siri to understand screen content next year.
22:30 Amazon invests $8B in Anthropic, strategic partnership.
26:23 Gemini Live connected; OpenAI data deletion issue.
28:53 NYT misunderstands AI, OpenAI dismisses arguments.
32:25 Global AI safety event hosted by Biden administration.
33:52 Microsoft unveils 90 new AI features for Copilot.
39:19 Microsoft 365 cloud subscription enables scalable AI computing.
40:49 Opt-in service captures and retrieves PC activity.
44:00 Sign up for daily AI insights newsletter.

Keywords:
Jordan Wilson, AI Models, OpenAI, DeepSeek, "o one" model, "r one light preview", chain of thought reasoning, DeepSeek Chat, Open-source AI, GPT-4 o model, AI chatbot leaderboard, Google Gemini update, OpenAI web browser, Google Chrome, ChatGPT, GPT search, Siri upgrade, LLM Siri, Apple AI models, MMLU, AI chatbot rankings, Gemini 1121, Amazon's AI investment, "Everyday AI" podcast, memory feature in AI, Claude AI, Claude Alexa, AI Policy Shift, global AI safety, Microsoft AI Innovations.

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What happens when a company like Microsoft changes the rules of work, seemingly overnight? We have to change the way we play the game. In today's episode of Everyday AI, we're not just breaking down what's new in Microsoft Copilot, but how everything Microsoft announced at Ignite is going to change your biz strategy. 

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Website: YourEverydayAI.com
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Topics Covered in This Episode:
1. AI and Business Strategy
2. Role of AI Agents
3. AI and Time Management
4. Adoption and Implementation of AI
5. AI and Work Culture Transformation

Timestamps:
00:00 Microsoft Ignite: AI updates reshape work strategies.
04:31 Agents enable human-AI collaboration and job reimagination.
07:16 Leadership and reimagining business essential with AI.
12:46 Embrace AI impacts; start integrating it now.
14:49 Stay focused; start small with AI projects.
17:12 Listen to WorkLab for insights on AI adoption.
20:25 AI encourages internal data transparency and collaboration.
24:52 Integrate AI strategies for effective business implementation.

Keywords:
Microsoft Ignite Conference, AI, Microsoft Copilot, business leaders, generative AI, Everyday AI, Microsoft WorkLab, Creative Strategies, large language models, planning, technology shift, agents, autonomous agents, AI transformation, AI adoption, AI strategy, reimagining jobs, collaboration, productivity, time saving, ROI, AI investment, unstructured data, Microsoft Teams interpreter agent, AI native organizations, AI powered organizations, AI ethics, enterprise AI application, podcast automation, AI advisory.

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Ready for the buzzword(s) of 2025? Autonomous Agents. Ready for your cheatsheet for Autonomous Agents? Brought to you by legit one of the worldwide leaders in the space -- Ray Smith. Ray is the VP of AI Agents at Microsoft. Ray took time out of his busy schedule to join us at the Microsoft Ignite conference. This is one convo you legit cannot miss.

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Topics Covered in This Episode:
1. Copilot Studio Overview
2. Use Cases for Copilot Studio
3. Three Layers of Using M365 Copilot
4. Shift in Work Dynamics
5. SharePoint Agents
6. Data Security and Governance

Timestamps:
00:00 Generative AI insights: podcast, newsletter, Microsoft WorkLab.
04:58 Azure AI Foundry platforms enable advanced AI development.
09:39 Copilot Studio simplifies low-code app development.
12:32 Automate email triggers across various business systems.
16:50 AI boosts productivity and efficiency with autonomous agents.
19:43 Easily create agents for instant information access.
21:47 Data security and access concerns in AI.
26:12 AI enables advanced automation with cognitive reasoning.
28:50 Personalized assistants will revolutionize work and internet.
32:19 Sign up for Everyday AI newsletter updates.

Keywords:
Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, autonomous agents, AI agents, rapid prototyping, app development, custom agents, use cases, two-way invoice matching, document creation, document retrieval, document summarization, workflow innovation, Ray Smith, SharePoint agents, meeting action completions, agentic AI, AI in productivity, real-time translation services, robotic process automation (RPA), cognitive reasoning, AI in business, AI in personal contexts, dynamic data, data security, access controls, governance, integrations and connectors, citizen developers.

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Microsoft unveiled two new custom processors, Azure Integrated HSM for security and Azure Boost DPU for data processing, at their Ignite conference to enhance security and efficiency in Azure data centers, positioning themselves against competitors like Nvidia and AMD. We sit down with Alistair Speirs, Senior Director, Azure Infrastructure at Microsoft to discuss.

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Topics Covered in This Episode:
1. New AI Tech by Microsoft at Ignite
2. Detailed explanation about DPU
3. Chip specialization in the tech industry
4. Role of the HSM in encryption
5. Future developments and challenges

Timestamps:
00:00 AI era's optimization progress for infrastructure delivery.
03:45 AI infrastructure is becoming more specialized efficiently.
08:08 Sustainable construction: Cross-laminated timber for data centers.
10:29 Optimizing infrastructure for faster, efficient, sustainable services.
15:21 Security and sustainability are our primary focuses.
17:23 Embedded encryption enhances security and performance.
20:12 Azure improves rapidly; visit youreverydayai.com.

Keywords:
Microsoft Ignite, Chicago, DPUs, GPUs, NPUs, Microsoft, Azure Infrastructure, data centers, Intel, AMD, NVIDIA, server architectures, silicon development, AI announcements, Azure Boost DPU, ASIC, storage operations, power usage, CPU, network card, infrastructure optimization, AI acceleration, cloud workloads, Azure services, energy consumption, renewable energy, power sources, recycling rates, server materials, data center construction.