Missing the Madness between games? ?

It's not over ? especially if your as big a fan of AI startups as your are basketball. 

Recently at NVIDIA's big GTC conference, we chatted with an Awesome 8 group of startups in NVIDIA's Inception program, which powers startups with cutting-edge tools, training, and global connections.

Join us for the first part of a two-part series, and help us vote who's going to move on to the finals!

You can vote twice. Voting ends Sunday, April 6th at 11:59 PM CST. 

1. Leave a comment on the LinkedIn livestream show with the company you want to vote for and a hashtag like this: #companyname

2. Vote on the April 4 edition of daily newsletter, which you can read here. 

Inception Games Round 1: Who's the Top NVIDIA AI Startup? ? An Everyday AI Chat with Jordan Wilson

Check out NVIDIA for Startups

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Topics Covered in This Episode:

Inception Games AI Startup CompetitionDeepChex Generative AI Systems EvaluationExpander AI's Multi-Agent AI PlatformBeamer's Video Compression TechnologyPlyOps' GenAI Application AcceleratorGlia Cloud's Automated Ad CreationContextual AI's Augmented Retrieval SystemDemocratize's Custom Apparel IntelligenceIllumix's Enterprise Data Analytics Platform

Timestamps:
00:00 AI Startup Showcase Series

06:43 Live Stream Engagement Instructions

10:02 Agent Interaction Evaluation System

12:18 Streamlined Evaluation and Deployment System

16:40 Streamlined AI Development Platform

19:53 Unified Framework Connector Platform

21:06 Beamer: Enhanced Video Optimization Technology

23:54 Inception Program Graduation Impact

28:56 Gen AI Transforming Data Centers

32:26 Automated Video Ads for Businesses

34:18 "Staying Ahead with Gen AI"

39:36 Solving RAG and Enhancing LLMs

40:56 Boost from NVIDIA Partnership

43:38 Fashion Tech Expands to Sportswear

48:17 Elumex: Trust Through Data Transparency

52:17 "Podcast & Ne

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Still experimenting with AI?

Cool. 

While you tinker with prompts and pilot projects, real businesses are stacking wins?and actual revenue.

They?re not chasing shiny tools.
They?re building unfair advantages.
They?re automating what matters and scaling faster than their competition can.

And no, it?s not just Big Tech.

It?s manufacturers. Retailers. Healthcare companies. Real people solving real problems?with AI that works today.

You?ve got two options:
? Stay stuck in ?research mode?
? Or see how the pros are doing it and steal their playbook

Ajay Malik?former Google exec and CEO of StudioX?joins us to share how real businesses are crushing it right now with AI.

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Topics Covered in This Episode:

Role of AI in Business CompetitionStudio X's AI Platform for BusinessesChallenges Businesses Face with AI AdoptionReal Applications for Top Line Growth with AIImproving Products with Predictive FeaturesIncreasing Bottom Line with Operational EfficiencyAI's Role in Automating Repetitive TasksEnhancing Business Operations through AIAI Steering Committees for Continuous EvaluationSpecific Metrics for AI Success in Companies

Timestamps:
00:00 AI Surpasses Turing Test

03:48 AI Milestones and Product Updates

09:54 AI-Driven Revenue Strategies

10:38 AI Enhancing Product Usability

14:36 Automate Repetitive Tasks

17:33 "Unlearning Manual Task Habits"

22:45 Maximize Productivity with AI

26:40 Embracing AI's Rapid Business Shift

27:44 "Identify Business Pain Points Together"

31:09 Leading With AI in Business

Keywords:
Generative AI, Large Language Models, Enterprise companies, Smaller businesses, Increase top line revenue, Increase bottom line efficiency, Real businesses, AI platform, AI adoption, ROI versus hype, Supply chain management, Predictive analytics, AI voice control, Embedded inspection, Retain customers, Operational efficiency, Repetitive tasks, Automated processes, Google, Skill differentiation, AI assistant, AI augmenter, AI-enabled products, Sales opportunities, Knowledge management, Error reduction, Demand forecast, Course correction, Steering committee, Business metrics, Lead generation, AI use cases, Measurable applications, Think big, Scale fast.

EP 496: How Real Businesses Are Actually Winning with AI

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Wait. Gemini 2.5 can do whhhaaaaat? ?

Finally coming up for air after generating 1,459 images in ChatGPT's new image generator?

Just in time.

After we wrapped up our Part 1 overview of Gemini 2.5 Pro Unlocked, we're going all-in on use-cases for Pt. 2. 

We're going to tackle some everyday business use-cases for Gemini 2.5, some wacky ones, and creative ones. 

All LIVE. 

(And we'll probably break things along the way.) 

Join Us. 

Gemini 2.5 Pro Unlocked: Exploring everyday use cases (Pt 2 of 2)

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Topics Covered in This Episode:

Innovative Uses of Gemini 2.5 ProAnalyzing Gemini's Built-in ThinkingReal-World Business ApplicationsLive Demos of Gemini FeaturesGemini's PDF and Image AnalysisInteractive Content with Gemini CanvasGemini's Onboarding and Training ToolsGemini's Unmatched Processing Power

Timestamps:
00:00 "Google's Gemini 2.5 Boosts Business"

04:51 Future Non-Coders Transform with AI

07:35 "Top Tech Podcast Episode: AI Demos"

10:44 Gemini 2.5 Pro Experimentation

13:26 Google Gemini Podcast Musings

16:21 Exploring Google Gemini's Tool Usage

20:23 Testing AI Podcast Analysis

25:17 "Efficient AI News Searching"

27:52 "Canvas and Claude: HTML Challenge"

29:31 PDF Extraction for Business Automation

34:11 Canvas Integration: Google Doc Alternative

36:36 Google Gemini: Live Rendering & HTML Pasting

39:45 "AI Learning Tools: Pros and Cons"

43:11 OpenAI's $40B Funding Round

46:45 IBM Onboarding SOP Manual

50:47 "Revitalize Business with Google Gemini"

52:19 Effective Use of Large Language Models

Keywords:
Gemini 2.5, Google Gemini 2.5 pro, Google's new Gemini, Google's Gemini update, Gemini 2.5 pro unlocked, Large language model, Multimodal, AI Studio, Chain of Thought model, Chain of Thought reasoning, 1,000,000 token context window, Transformer model, Advanced coding, AI Studio vs. Gemini, AI Studio can?t turn off data training, Human preference, Benchmark scores, Self-help coding, AI-powered coding, Business use case, Coding capabilities, Hybrid model, Internet-connected models, PDF transcription, Sentiment analysis, Visual memory game, Interactive quiz, Chicago vibes HTML, Business dashboard, Interactive SOP, Gemini in education, Privacy in AI, Free access to Gemini 2.5, Built-in thinking, AI chain of thought.

Gemini 2.5 Pro Unlocked: Exploring everyday use cases (Pt 2 of

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We gotta talk about this ?

Everyone and their mama?s out here creating Ghibli-style AI images, but no one?s talking about the most capable AI ever created. 

And it?s available now. 

And for free. 

Let?s talk about (Pt 1 of 2) 

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Topics Covered in This Episode:

Gemini 2.5 Pro Background & ReviewGoogle's AI Model Update StrategyTech Hybrid Model Explanation1,000,000 Token Context WindowAdvanced Coding CapabilitiesMultimodal Features in Gemini 2.5Google AI's Free Access AnnouncementCompetitive Benchmark Scores

Timestamps:
00:00 Unscripted AI Insights with Gemini

04:32 SoftBank Funding Hinges on OpenAI's Status

07:01 "Overlooked Potential of Gemini 2.5"

09:33 Gemini 2.5: Chain-of-Thought Model

14:40 "Google Gemini's Unprecedented Triumph"

16:40 Google's New Strategy: Quiet Innovation

21:53 Google's New AI Strategy

24:39 Future-Proofing with AI Models

26:29 "Gemini's AI Excellence in Logic"

32:07 "Testing and Deploying Simple Apps"

35:32 AI Development in Smaller Contexts

37:17 Hybrid AI Models: Google vs. OpenAI

43:02 "OpenAI Overshadows Gemini 2.5"

44:12 "Feedback Needed: Testing Gemini 2.5"

47:33 "Subscribe to Everyday AI"

Keywords:
Gemini 2.5, Google, AI update, Large Language Model, Runway Gen 4, AI-powered video generator, OpenAI, $40 billion funding, SoftBank, Sam Altman, NovaACT, Amazon, AI agent, Alexa Plus, Google DeepMind, Chain of Thought reasoning, 1,000,000 token context window, Coding capabilities. Multimodal, GPT 4.5, Human preference, Elo score, AI Studio, Vertex AI, NotebookLM, Deeper integration, Personalized Gemini, LM arena, 2025 AI predictions, Humanities Last Exam

Gemini 2.5 Pro Unlocked: Inside the world?s most powerful AI model (Pt 1 of 2)

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OpenAI mighta just killed Photoshop (as we know it). ??

Microsoft released reasoning agents that are unmatched. ?

Yet.... it mighta been Google that had the biggest update of the week with Gemini 2.5 Pro. ?

? This week was a whirlwind. 
? Don't get left behind. 
? Get ahead with Everyday AI's weekly segment: AI News That Matters. 

ChatGPT?s groundbreaking image update, Google?s chart-topping Gemini 2.5 drop, Microsoft?s new reasoning agents and more

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Topics Covered in This Episode:

Microsoft unveils new AI agentsOpenAI's $40 billion funding roundApple's AI-powered health initiativesElon Musk's XAI acquires TwitterOpenAI updates GPT-4.0 modelNew York Times vs. OpenAI lawsuitAnthropic's AI model breakthroughOpenAI launches new image generationGoogle releases powerful Gemini 2.5 model

Timestamps:
00:00 AI's Revolutionary Week Unfolds

03:29 Microsoft Enhances Copilot Studio AI

09:18 SoftBank Leads $40B OpenAI Funding

11:44 "AI Business Growth Challenges and Solutions"

14:28 Apple's AI Health Expansion

18:37 Musk's XAI Acquires X for $45B

23:41 OpenAI GPT-4 Update Surges to Second

24:57 "New GPT-4 O Outperforms Benchmarks"

28:26 Judge Allows OpenAI Copyright Case

33:06 "Universal Concepts in AI Language"

38:18 "Omni-Model Studio Ghibli Craze"

39:32 New Image Model: Text Mastery

43:27 AI Revolutionizes Marketing Campaigns

47:36 AI Chatbot Memory Limitations

50:50 "Gemini 2.5 Outperforms on Benchmarks"

53:00 Tech Giants Expand AI Innovations

Keywords:
AI development, large language model, image model, creative industries, AI lab,  Microsoft Copilot Studio, AI agents, OpenAI, funding round, SoftBank investment, AI strategy, Apple healthcare, AI-powered doctor, AI lawsuits, Anthropic study, large language models, cross layer transcoder, GPT four zero. image generation. multimodal model, ChatGPT, Microsoft 365 Copilot, AI-driven marketing, OpenAI's valuation, Gemini 2.5 Pro, Google AI, AGI (Artificial General Intelligence), determinism in AI, XAI acquisition

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EP 493: ChatGPT?s groundbreaking image update, Google?s chart-topping Gemini 2.5 drop, Microsoft?s new

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How did no one notice these AI Agents? ?

 While we?ve all been busy playing with GPT-4o photos and checking Gemini 2.5 benchmarks, Microsoft legit dropped some of the most useful AI agents we?ve seen. 

But how do you use them? And how do they work? 

If only you could get the answers from?? say Ray Smith, the VP of AI Agents at Microsoft?

Oh wait, you can. Join us as we go over Microsoft Copilot?s brand new agents: and the insider tips on how to make them work for you.

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Topics Covered in This Episode:

Microsoft Copilot's New AI AgentsInsider Tips on Leveraging AI AgentsMicrosoft VP Ray Smith's InsightsMicrosoft Copilot Studio OverviewDeep Reasoning Capabilities in CopilotNew Agent Flows in Copilot StudioUsage-Based Pricing in Copilot StudioNatural Language as Primary Programming LanguageRole of AI Agents in BusinessesDetailed Functionality of Deep Reasoning AgentsIntegration of Agent Flows in Business Processes

Timestamps:
00:00 Microsoft Copilot's New AI Agents

07:00 Getting Started with M365 Copilot

10:43 Research Agents: Building Blocks for Apps

14:47 Dynamic Use Cases in Business Development

17:50 AI's Transformative Impact

21:11 Enterprise Agent Governance Essentials

24:06 "Integrating Automation with Copilot Studio"

27:59 "Hands-On AI Business Transformation"

Keywords:
AI Development, Microsoft Copilot, AI Agents, Everyday AI Show, Livestream Podcast, Daily Newsletter, Large Language Models, youreverydayai.com, Deep Reasoning Capabilities, Agent Flows, Autonomous Agents, Copilot Studio, Natural Language, RFP Generation, Sales Development, Enterprise Grade Controls, Azure Subscription, Usage-Based Pricing, Power Automate, Reinforcement Learning, Research Agents, Code Generation, Report Generation, Financial Analysis, Multi-Agent Scenario, Business Process, Deterministic Behavior, Generative AI, Experiential Learning, IT Integration.

Microsoft Copilot?s New Agents: Insider tips how to make them work for you

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Agentic AI is AI that does your work, right? ??

And Physical AI is just robots and stuff, right? ?

Not exactly. 

When those technologies are applied to the medtech space, though, the meanings change. 

Agentic AI can get you into the doctor faster. 

Phyiscal AI can (literally) save your life. 

Agentic and Physical AI in Medtech: How NVIDIA is Changing the Space

Prerna Dogra knows this all too well. 

She's the Senior Manager for Healthcare AI Products at NVIDIA, and she joined the Everyday AI show to show us how new GenAI advancements in the medtech space are doing more than spitting out quarterly reports. 

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Topics Covered in This Episode:

Augmented AI vs. Physical AI in HealthcareIntroduction of Prerna Dogra and NVIDIA's Role in Healthcare AINVIDIA?s Technology Stack and Impact on MedTechImage Reconstruction and Diagnostic Applications with NVIDIA GPUsRobotic Surgery and Personal Impact on Prerna DograCurrent State of AI and GenAI in MedTechAgentic AI and its Current Use Cases in MedTechAgentic AI Systems and Human Expert InvolvementExplanation of Three Computer System in AI by NVIDIAEthical Considerations and Safeguards in Agentic AIPotential Risks of Agentic AI in MedTechExciting Advancements in Agentic AI and Physical AI in HealthcareFocus on Real-Time AI Processing and Simulation ComputersFuture Challenges and Opportunities in Robotics and AI in Healthcare

Timestamps:
00:00 NVIDIA's AI Impact in Healthcare

05:56 AI's Impact on MedTech Progress

06:52 GenAI's Impact on Healthcare Transformation

10:20 "Agentic AI Revolutionizes Healthcare Navigation"

13:43 Digital Agents Enhancing Healthcare Delivery

18:13 Agentic AI Progress in Healthcare

21:22 Empowering Communication Through Robotics

Keywords:
augmented AI, physical AI, healthcare, medicine, medtech, generative AI, NVIDIA GTC, agentic AI, host, Everyday AI, livestream, podcast, newsletter, company growth, Prerna Dogra, NVIDIA, product management, algorithm ecosystems, computing appliance, accelerated computing, artificial intelligence, computer vision, MRI, CT scan, robotic surgery, Da Vinci system, prostate surgery, image reconstruction, Epic, MyChart, EMR systems

Agentic and Physical AI in Medtech How NVIDIA is Changing the Space EDAI.

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Imagine this ? Your phone has a built-in AI agent. It has access to all your data, info, calls and preferences. 

When someone calls you, their AI agent just talks to your AI agent. Might sound like some distant-off future. But, it's not. 

The Intersection of Generative AI and Telco is continually growing and continually changing what's possible. 

At NVIDIA's GTC event, we talked with a Telco leader who helped us understand how advancements in Generative AI are changing all our communications. 

What's new in Telco? Listen and find out. 

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Topics Covered in This Episode:

Generative AI transforming telco industryLilac Ilan's role at NVIDIAAI's impact on telco operationsExamples of AI in telco customer serviceAI's role in network operation optimizationNVIDIA GTC announcements and AI factoriesTelco involvement in AI factoriesAI for language and communicationAnticipated consumer experiences with AICost savings and new revenue for telcos with AIFuture of telco industry with AI advancements

Timestamps:
00:00 Generative AI Benefits for Telcos

03:44 AI's Role in Transforming Telecom

09:03 Real-Time Language Translation Era

12:34 AI-Driven Technician Optimization

16:29 AI Services by Telcos Explained

19:21 Future of Telco Industry

21:58 "Subscribe for AI Insights

Keywords:
telco industry, generative AI, NVIDIA GTC conference, global head of business development, telco operations, AI factories, sovereign AI cloud, GPU as a service, AI services, AI for RAN, spectrum efficiency, connected cars, Indonesia AI chatbot, Language models, digital human, call center agents, network optimization, enterprise customers, Mobile World Congress, artificial intelligence advancements, cost savings, AI for healthcare, AI for education, agentic AI, autonomous network, Taylor Swift concert, telecommunications, language translation, bilingual communication, digital transformation.

EP 490: What's new in Telco? How NVIDIA's New Announcements Impact our Future

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Muscles hurt first before you build em. ?

But once you build it, you're stronger. 

Same can be true with company muscle. And your org might be missing a key piece of the AI puzzle: Operational muscle. 

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Topics Covered in This Episode:

Reasons for AI FailureOperational Muscle in AI StrategyIntroduction of Andy Lin from Mark three SystemsImportance of People, Culture, and Process in AINeed for Cross-functional Teams in AI and Digital TwinsChallenges in Enterprise AI AdoptionGenerative AI vs. Digital Twin ApplicationsStrategies for Starting Small with AI ProjectsImportance of Explainability in AI and Digital TwinsRole of People in Multi-Agent Systems and Digital Twins

Timestamps:
00:00 "Operational Muscle in AI Scaling"

05:31 "Scalable Intelligence through Collaboration"

07:26 Transformative AI in Healthcare Innovation

11:15 Building Operational Muscle with AI

13:38 "Scalable Expertise via AI & Digital Twins"

19:09 Iterative Approach Drives Leadership

22:08 Exploring AI's Impact on Governance

23:51 Building Effective AI Teams

28:20 "Success Through Close-Knit Teams"

Keywords:
 AI strategy, operational muscle, generative AI, NVIDIA GTC, digital twins, AI adoption, centers of excellence, people process culture, enterprise AI, ChatGPT, conversational AI, healthcare life sciences, AI models, unstructured data, scalable intelligence, agentic AI, digital twin simulation, AI education, three d representation, hybrid workforces, AI governance, AI explainability, AI-powered decision making, Fortune 500 companies, modern HPC, research institutions, LLMs (Large Language Models), automation, AI innovation, smart hospitals.

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You prolly missed a lot of this AI news: ?

Gemini got Canvas ?
ChatGPT got a new TTS model ??
Claude finally got the internet ??
NVIDIA re-invented AI computing ?

And that's barely the surface of this week's BIG AI news. 

Don't waste hours a day worry about AI. 

We'll cut through the nonsense and tell you what it all means during our weekly AI News that Matters segment. 

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

NVIDIA's AI Desktop Supercomputers: DGX Spark and DGX StationNVIDIA's AI Data Center and GPU RoadmapZapier and Microsoft Support for MCPPennsylvania's AI Pilot Program with ChatGPTAdobe and Microsoft Collaboration on AI ToolsOpenAI's Sora Unlimited Access for Paid UsersApple's AI Integration with Wearables and CamerasFederal Government's Generative AI Chatbot by GSAGoogle's New Features in Gemini: Canvas and Audio OverviewsOpenAI's New Voice Models: GPT 4 o TranscribeClaude's Real-Time Web Search Capability

Timestamps:
04:35 NVIDIA Unveils AI Supercomputers

08:05 Run AI Locally, Securely

11:07 NVIDIA's GPU and Platform Upgrade

16:12 AI Training and Strategy Partnership

18:34 Pennsylvania's AI Pilot Boosts Efficiency

23:07 Adobe-Microsoft AI Integration Unveiled

27:23 AI Video Tools: Limited Access ??

28:08 AI Video Tools: OpenAI's Position

32:29 AI-Powered Image Editing Expands

36:20 Apple's AI Wearables Delayed to 2027

39:14 "AI's Next Leap: Real World Data"

45:13 "Audio Summaries for Documents"

46:08 Create Audio Overviews Easily

52:56 Claude's Delayed Web Access Release

54:03 Weekly AI News Recap

Keywords:
NVIDIA, AI computing, GTC conference, Claude, Internet access, federal government, AI chatbot, MCP support, ChatGPT, voice models, Gemini, AI services, DGX Spark, DGX Station, Grace Blackwell platform, neural networks, AI applications, Zapier, Microsoft, Pennsylvania AI program, Adobe, Microsoft 365, Sora, OpenAI, Apple, wearable devices, cameras, Apple Watch, AirPods, General Services Administration (GSA)

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You're outsourcing your brain to AI ?.

Bad idea?

AI can write your SQL queries. Build your dashboards. Even brainstorm your next big idea.

It?s saving you hours. Maybe days.

But here?s the catch?it's also stealing your critical thinking. Making you reliant.

Maybe even... dumber.

Sumit Gupta knows this first-hand. He?s built data strategies at Notion, Snowflake, and Dropbox. 

And, he?s here to break down how AI is both supercharging productivity and quietly eroding our problem-solving skills.

Are we trading our brains for convenience? 

Let?s find out.

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Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn

Topics Covered in This Episode:

Personal use of Generative AI and productivity vs. intelligence dichotomyJordan Wilson's participation in the NVIDIA conferenceIntroduction of Sameet Gupta as a guestRole and experience of Sameet Gupta at NotionThe impact of AI on productivity and critical thinkingExamples of AI tools used by Sameet GuptaChallenges of balancing AI use with retaining critical skillsPotential risks and costs of over-reliance on AIWhite coding and its implicationsRecommendations and personal strategies to maintain skills alongside AI useThe influence of AI on different age groups, particularly studentsDiscussion on cost implications of using AI improperlyNotion's capabilities in enhancing productivity and retentionThe future impact of AI on knowledge workers and the workforcePractical advice for business leaders on AI integration and maintaining productivity

Timestamps:
00:00 "Using AI to Stay Sharp"

04:11 Anthropic's Claude Gains Real-Time Web Access

08:02 Streamlining Dashboards with AI

10:48 "GPT for Quick Code Debugging"

15:34 Guardrails Needed for Costly AI Mistakes

17:27 AI for Repetitive Tasks

20:35 Growing Business with AI Expertise

23:20 AI's Impact on Younger Generation

28:04 AI?s Impact on Future Workforce

30:12 "Notion: Beyond Note-Taking"

33:22 "Validate or Lose Job Security"

36:25 Balancing Productivity and Uniqueness

Keywords:
generative AI, large language models, productivity, NVIDIA conference, OpenAI, voice models, GPT-4, transcription, text to speech, real-time streaming, Google AI, Gmail search, AI-powered fea

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You ever autonomously land a robot on Mars? ?

Marco Pavone has helped do just that. Marco is NVIDIA's Director, Autonomous Vehicle Research.

His next challenge?

Bring true autonomy to vehicles on the road. ?

Yeah, yeah, yeah.

We?ve been hearing that autonomous vehicles are coming for like a decade.

But new announcements at NVIDIA GTC are making that a reality.

Like?. This year.

Join us as we dive in: Autonomous Driving: How new NVIDIA tech will make it a reality -- An Everyday AI Chat with Jordan Wilson and Marco Pavone.

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Topics Covered in This Episode:

NVIDIA's GTC Conference and Autonomous Vehicle AnnouncementsMarco Pavone's Background and Role at NVIDIAIntroduction to Helios Full Stack SystemOverview of Current State of Autonomous VehiclesNVIDIA's Role in the Auto and Autonomous Vehicle IndustryNVIDIA and General Motors PartnershipChanges in Autonomous Driving TechnologiesGenerative AI and Simulation in Autonomous DrivingChallenges in Scaling Autonomous Vehicle DeploymentsHandling Location-Specific Driving Behaviors with Data-Driven ParadigmsNVIDIA's Use of Foundation Models and Simulation Technologies

Timestamps:
00:00 "Autonomous Vehicles: A Reality?"

04:52 Autonomous Vehicles: Emerging Consumer Reality

08:53 NVIDIA Expands Partnership in Physical AI

13:00 Advancements in AI and Simulation

15:40 Generative Simulation for Autonomous Vehicles

17:15 Autonomous Vehicle Technology Challenges

23:17 Adapting to Autonomous Vehicle Data

24:06 "Data-Driven Bias in Autonomous Vehicles"

27:53 Key Announcements in Vehicle Autonomy

Keywords:
Everyday AI Show, autonomous vehicles, NVIDIA GTC conference, AI advancements, autonomous driving, robotic systems, safety principles, Tesla autopilot, simulation technology, Internet pretrained models, generative AI, simulation to realism gap, hardware and software tools, NVIDIA Pride, sensor systems, driver assistance systems, GM partnership, physical AI, humanoids, space vehicles, self driving technology, operational design domains, data-driven

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Will we see humanoids in the grocery store soon? ?

One of the few sectors of AI advancing at the same pace as LLMs is robotics and humanoids.

Spoiler alert ? NVIDA powers the humanoid movement.

So what was announced at NVIDIA GTC?

Will we be seeing humanoids out and about anytime soon?

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Topics Covered in This Episode:

NVIDIA GTC Conference and Embodied AIRole of Humanoids and RoboticsIntroduction to Agility Robotics and DigitsState of Humanoids in Logistics and ManufacturingHumanoids' Capability and Shift OperationsNVIDIA Inception Program and Agility RoboticsNew Announcements at NVIDIA GTCIsaac Lab and Whole Body Motion Control DemoNVIDIA Mega PlatformDifference Between Robots and HumanoidsEvolution in Humanoid SpacesFuture Applications Beyond ManufacturingSafety and Integration of HumanoidsOnboard Safety System DevelopmentImportance and Impact of Humanoids in Robotics

Timestamps:
00:00 Exploring Humanoids and Robotics

03:22 Rapid Advancement of Humanoid Technology

06:46 AI-Powered Robotic Motion Control Advances

11:22 Humanoid Robots Transform Warehouses

13:27 Humanoids in Manufacturing and Logistics

18:04 Developing Cooperative Robot Safety

19:25 Humanoids: A Permanent Robotics Evolution

Keywords:
 NVIDIA GTC, Agility AI, Everyday AI, Humanoids, Robotics, Embodied AI, Agility Robotics, Digits robot, Logistics, Manufacturing, Retail, AI trained stack, NVIDIA Isaac Lab, Mega platform, Whole body motion control, Retail grocery items, Simulation environment, AI advancements, Supervisor safety system, Cooperative safety, GTC announcements, NVIDIA hardware, NVIDIA inception program, Energy storage, Actuation, Sheffler customer, GXO contract, Industrial settings, Warehouse automation, Cognitive function.

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Startups are changing quickly.

That means Venture Capital is changing just as fast. ???????

And with that breakneck pace has emerged a surprising trend: the skyrocketing value of domain expertise.

Today, we dive in with a startup and VC leader at NVIDIA. 

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Topics Covered in This Episode:

Changing Landscape of AI and Startup EcosystemNVIDIA's VC Alliance and Startup SupportRole of NVIDIA Beyond GPUsNVIDIA Inception Program and VC AllianceStartup Progression to VC AllianceIncreasing Integration of AI in StartupsRole of Domain Experts in StartupsEvolution from Tech-focused to Problem-focused StartupsChallenges for VCs and Startups in Rapid AI InnovationImportance of Domain Expertise in AI-driven StartupsTrends in Venture Capital and Startup Strategies with AI

Timestamps:
00:00 "Everyday AI: NVIDIA GTC Live Coverage"

04:06 VC Alliance: Inception Program Subset

08:17 AI Opportunities for Non-Tech Companies

10:36 "VCs Value Deep Problem Understanding"

13:09 AI Research vs. Human Expertise

18:39 Product Market vs. Investment Challenges

19:54 VCs Cautious in AI Investments

22:33 Entrepreneurial Opportunities for Laid-Off Experts

28:11 Leverage AI for Research Insights

30:25 Domain Experts? Unique Value

31:47 "Daily AI Tune-In"

Keywords:
Generative AI, Venture Capital, NVIDIA GTC, Startup Ecosystem, Industry Experts, AI Optimization, AI Implementation, NVIDIA VC Alliance, Inception Program, GPU, Software, Open Source Models, Platform Support, Investment Side, Portfolio Companies, Domain Experts, Large Language Models, Commoditization of Knowledge, AI Integration, AI Landscape, Problem Solving, AI Accessibility, AI-Powered Startups, Rebalancing Ecosystem, Customer Reach, Product Market Fit, Breakneck Pace, Traction, AI Innovations, AI Day for VCs.

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OpenAI and Google are essentially asking the federal government to skip the whole copyright law. ?

Deepseek is essentially asking its employees to stay in China. ?

And Apple is essentially asking themselves internally?. WTF. How did we drop the ball on AI? ?

Don't waste hours each day trying to figure out what the latest in AI developments mean for you or your company. 

We break it down in this week?s The AI News That Matters.

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Topics Covered in This Episode:

OpenAI and Google seek copyright law exemption for AI model trainingDeepSeek restricts employees' travel over data security concernsGoogle's Gemini 2.0 updates and language model advancementsElon Musk versus OpenAI legal dispute on for-profit modelApple's AI challenges and Siri development issuesOpenAI and Google fair use protection proposal to US governmentDeepSeek's state control and US government responseOpenAI's new agents SDK platform for AI agent developmentChatbots' shortcomings in retrieving and citing news contentNVIDIA's GTC conference and implications on the economyZoom's AI advancements and new features announcement

Timestamps:
00:00 Everyday AI News and Insights

03:52 Google's Gemini 2.0 Unveiled

09:44 Nonprofit to Profit: Musk Strategy

13:19 Siri Feature Delays and Challenges

17:20 Generative AI Partnerships & Copyright Debate

18:54 US AI Strategy: Copyright Vs. Security

24:16 AI & Copyright: Future Implications

27:41 China Restricts AI Expert Travel

29:47 OpenAI's RAG Tool Challenges Vendors

34:31 Caution on Grok and Perplexity

38:29 OpenAI Urges U.S. Ban on DeepSeek

42:22 AI Industry Challenges Affecting Economy

43:32 NVIDIA's Dominance in AI Hardware

47:00 Zoom Expands with AI Features

50:28 "Exclusive GTC Coverage & Insights"

Keywords:
OpenAI, Google, Federal government, Copyright law, Everyday AI, AI news, Gemini two point o Flash Thinking, Multimodal capabilities, Image generation, SEO, NVIDIA GTC conference, AI updates, Google Wor

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Google woke up mid March and chose madness. 

Gemini is refreshed.

Deep Research is supercharged. 

Gemma 3 is a tiny heavyweight. 

Whuuuuuuut. 

Who saw this coming? 

We break down what's new and how it changes the LLM race. 

Google?s surprise AI releases: What?s new and how it changes the LLM race -- An Everyday AI Chat with Jordan Wilson 

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Topics Covered in This Episode:

Google's Surprise AI ReleasesNew Gemini 2.0 FeaturesGoogle AI Studio UpdatesDeep Research EnhancementsGemini Personalization ModeGemini Robotics for Physical ActionsNotebook LM Updates with Gemini 2.0Gemma 3 Small Language Model

Timestamps:
00:00 "Explore AI Insights & Resources"

04:25 "NVIDIA GTC Conference Insights"

07:38 Google's Gemini Release Missteps

10:02 "Google Gemini 2.0 Overview"

14:20 "Optimizing Workflow with Google AI"

19:37 "Gemini Chatbot's Deep Research Feature"

23:11 New Features in Google Workspace

25:53 YouTube TV Personalization Issues

30:09 Google Gemini 2.0 Robotics Update

32:06 Google's AI Data Strategy Shift

37:09 Notebook L M: Notes with Citations

40:46 AI: Cloud Risks & Paid Privacy

43:57 Future of AI on Mobile Devices

44:49 "Evaluating Language Models with Elo Scores"

49:06 AI Model Cost Revolution 2025

51:33 "Subscribe, Rate & Share Now"

Keywords:
Google AI updates, Gemini models, AI race, Daily livestream podcast, Free daily newsletter, Google Workspace, Large language models, AI Studio, Flash thinking, Inline image generation, Deep research, Reasoning models, Personalized Gemini, Google Gems, Robotics, Midjourney, Notebook LM, AI-powered insights, NVIDIA partnership, Open source, DeepSeq, ELO scores, Small language models, Google's deep research, Workspace data protection, AI search history, Gemma three, Google Robotics, Local AI models, Real-world data.

EP: 482 Google?s surprise AI releases: What?s new and how it changes the LLM race. Gemini 2.0 Flash Thinking, Deep Research 2.0, Gemma 3 and more.

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Maybe we should just skip the whole AGI thing? ????

And instead focus on something ..... useful?

Ruchir Puri thinks that's the way forward. 

Ruchir, IBM Research & IBM Fellow, knows a thing or two about AI and how to make it useful. 

For decades, he's helped develop the world's biggest AI breakthroughs, like IBM Watson. 

Don't miss this convo if you're ready to make AI a bit more useful. 

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Topics Covered in This Episode:

Allocation of AGI Focus vs. AUI (Artificial Useful Intelligence)Ruchir Puri?s Background in Automation and AI at IBMDiscussion of AGI?s Unclear Definition and Historical Milestones (Deep Blue and Watson)Breakdown of Intelligence into IQ, EQ, and RQEmphasis on AUI?s Practical Uses in Daily Life and BusinessEvolution of Human Work Due to AI AdvancementsIBM's Software Engineering Agent for Developer ProductivityImportance of Feedback Systems and Intelligent AgentsSteps for Business Leaders: Education, Strategy, and Skill Development

Timestamps:
00:00 Everyday AI Podcast & Newsletter

03:57 Debating AGI and Scaremongering

09:31 Evolution of Knowledge Work

10:47 Seamless Language Generation's Impact

13:57 AI's Growing Reasoning Abilities

19:18 "Software's Dominance and Developer Focus"

22:22 AI Solutions for Cybersecurity Challenges

26:40 ChatGPT Struggles with Math

29:32 Preparing Human Skills for AI's Rise

30:35 "Embrace and Strategize with AI"

34:00 "Subscribe for Daily AI Insights"

Keywords:
artificial intelligence, AI podcast, large language models, LLMs, artificial general intelligence, AGI, artificial useful intelligence, AUI, IBM, AI in business, AI strategy, AI implementation, machine learning, deep blue, jeopardy, Watson, Granite models, reasoning AI, agentic AI, AI in software development, AI tools, AI automation, generative AI, EQ, RQ, IQ, AI reasoning, AI technology, AI in careers, AI and human skills, AI in enterprises.

EP: 481 The case for artificial useful intelligence (AUI) over AGI

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Think AI is hitting a wall? ? Nope. 

This is just the start. Actually, we're at Day Zero. Here's what that means, and how you can move your company ahead. 

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Topics Covered in This Episode:

Generative AI's current phaseMeta's in-house AI chips developmentOpenAI's new developer toolsDay zero of AI and future prospectsReinforcement learning advancementsEmergent reasoning capabilities in AIBusiness implications of AI advancementsAI in healthcare and science

Timestamps:
00:00 Meta's In-House AI Chips Unveiled

03:31 AI Tools Enhance Customization & Access

09:02 Reinforcement Learning Enhances AI Reasoning

11:27 Agentic AI: The Future of Tasks

15:59 Tech Potential vs. Everyday Utilization

18:48 AI Models Offer Broad Benefits

23:15 "Generative AI: Optimism and Oversight"

27:08 Generative AI vs. Domain-Specific AI

29:24 Superhuman AI: Next Frontier

31:38 "Subscribe to Everyday AI"

Keywords:
Generative AI, Fortune 100 leaders, chat GBT, Microsoft Copilot, enterprise companies, day zero of AI, livestream podcast, free daily newsletter, leveraging AI, capital expenditures, Meta AI chips, Nvidia, Taiwan's TSMC, AI infrastructure investments, Amazon, Google, Microsoft, OpenAI, responses API, agents SDK, legal research, customer support, deep research, agentic AI, supervised learning, reinforcement learning, language models, health care, computational biology, AlphaFold, protein folding prediction.

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Limits? ? Microsoft's getting rid of them for free users on some SUPER useful AI features. 

Between headline-grabbing LLM updates from OpenAI, Grok, Claude and others, Microsoft snuck in some HUGE AI updates for free Copilot users. 

Find out what they are and how to use them. ?

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Topics Covered in This Episode:

New Copilot Features from MicrosoftUse of OpenAI Models in Microsoft CopilotConfusion About Access to Microsoft 365 CopilotMicrosoft 365 Copilot Free FeaturesThink Deeper Feature Powered by O1 ModelCopilot Voice Mode IssuesGitHub Copilot Free Code CompletionsMicrosoft 365 Copilot Chat Free VersionDifferences Between Copilot Tiers

Timestamps:
00:00 Exploring Microsoft Copilot Features

04:07 Microsoft Copilot: Pros, Cons, Access

07:08 Better Than GPT's Free Plan

11:19 "Inconsistent Copilot Experience on Mac"

16:56 Microsoft 365 Copilot Chat Unveiled

19:21 "Copilot Expands with Free Features"

22:23 Microsoft Copilot Subscription Confusion

27:46 Microsoft 365 Copilot Chat Cost

30:57 Personal vs. Business Interface Guide

34:00 "Think Deeper Mode Activation"

36:42 Boost YouTube Views: 5 Tips

39:51 Longer Videos Boost Engagement

42:24 Improving Data Processing Limitations

47:57 Voice Mode Technical Glitch

49:23 Advancements in AI Copilot Tools

Keywords:
Microsoft Copilot, OpenAI, AI announcements, large language model, Copilot product, Google, DeepSeek, Anthropic Claude, AI tools, AI technology, large language model releases, free users, Microsoft 365 Copilot, business growth, leveraging AI, AI news, free daily newsletter, Copilot features, AI podcast, Microsoft Ignite conference, Think Deeper, O1 model, reasoning model, Copilot voice mode, GitHub Copilot, code completions, Microsoft 365 Copilot chat, enterprise security, Copilot Pro, ChatGPT, cloud integrations, enterprise customers, AI coding assistance, dynamic files.

EP 479: Microsoft Copilot beyond limits: Exploring new free Copilot features

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An AI agent that costs $20,000 a month? ?
Are Microsoft and OpenAI fighting? ?
And why does Meta have its eyes sets on hundreds of millions small businesses? ?
Don't waste hours each day trying to figure out what the latest in AI developments mean for you or your company. 

Instead, join us on Mondays for the AI News That Matters. ?

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Topics Covered in This Episode:

Microsoft and AI Sales AgentsReflection AI and FundingManus by Chinese Startup MonicaMeta's AI VisionAnthropic's Proposal for AI and National SecurityGoogle's AI Mode in SearchAlibaba's QWQ 32B ModelOpenAI's ChatGPT Desktop App UpdateOpenAI's $20,000 Monthly AI Agent PlanMicrosoft's Exploration of AI Options Beyond OpenAI

Timestamps:
00:00 "AI Innovations and Industry Shifts"

03:47 Salesforce vs. Microsoft: AI Agent Battle

06:24 Reflection AI's Autonomous Superintelligence Vision

10:55 Manus AI Challenges OpenAI

13:23 Early Access Tech Review Prospect

16:24 Meta's Expanding AI Vision

22:54 Google's AI Mode: Enhancing Search

27:18 Small Model Beats Giants in AI

28:42 Chinese AI Models Surpassing Western Rivals

34:44 OpenAI Launches Premium AI Agents

36:21 OpenAI's Potential Revenue Shift

39:27 Advanced GPT-5 Model Insights

43:05 Microsoft's Backup AI Plan

48:27 AI Advancements Span China to Silicon Valley

50:51 Subscribe for Daily AI Updates

Keywords:
autonomous agent, Meta AI, OpenAI, Microsoft Copilot, AI innovation, AI news, NVIDIA GTC, Reflection AI, Salesforce CRM, AI sales agents, Google DeepMind, AI coding tool, artificial general intelligence, China's AI agent, Claude model, Alibaba QWQ model, AI business applications, classified info sharing, Google AI mode, Anthropic, Meta AI agents, open source AI, ChatGPT desktop app, professional AI agent, AI security, AI development, Microsoft AI strategy, Llama, generative AI, AI startup

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(Almost) Everyone hates the medical system. It's slow. It's expensive. It's archaic. GenAI is starting to change that. Find out how from an industry leader. Putting patients first with medical AI.

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

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Topics Covered in This Episode:

Introduction to Everyday AI ShowGeneral Discussion on AI in the Medical FieldOverview of Recursion and Lina Nilsson's RoleAdvancements and Impact of Medical AIRole of Large Language Models (LLMs) and AI Models in Medical AIPredictive and Preventive Applications of AI in HealthcareFuture Directions and Considerations in Medical AIConclusion and Final Thoughts

Timestamps:
 00:00 Everyday AI Podcast Intro

05:05 CRISPR: Revolutionary Genome Editing Technology

08:10 Streamline AI Strategy, Achieve ROI

13:01 Data-Driven Science Evolution

14:42 Reducing Drug Costs with AI

17:55 "LLMs Revolutionize Scientific Research"

23:45 AI Advancements May Double Lifespan

25:23 AI-Driven Drug Discovery Insights

Keywords:
AI, drug discovery, generative AI, machine learning, medical field, healthcare, Recursion, CRISPR, biotechnology, models, human genome, dataset, protein structure, large language models, transformers, FDA, pharmaceuticals, rare diseases, clinical trials, data-driven, drug approval, artificial intelligence, patient care, healthcare affordability, innovation, medicine, bioinformatics, aging, disease prevention, scientific research.

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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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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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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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Website: YourEverydayAI.com
Email The Show: info@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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Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn

Topics Covered in This Episode:

Anthropic releases Claude 3.7 Sonnet, the first hybrid AI modelGoogle cofounder Sergey Brin pushes for 60-hour workweeks to win AGI raceMeta reportedly developing a standalone AI app to compete with OpenAI & GoogleMicrosoft Copilot now offers free unlimited access to voice and Think DeeperEleven Labs launches Scribe, a speech-to-text model supporting 99+ languagesAmazon denies reports that Anthropic?s AI powers new Alexa Plus featuresSesame AI?s voice chatbot, Maya, gains attention for its human-like conversationsApple announces $500B US investment, including AI server factory in TexasBloomberg reports Apple?s advanced Siri won?t be ready until 2027OpenAI 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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Website: YourEverydayAI.com
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Topics Covered in This Episode:

Introduction to AI Model ReleasesIntroduction to Everyday AI PodcastAI News CoverageMeta's Upcoming Standalone AI AppDeep Dive into GPT 4.5Who Can Benefit from GPT 4.5Technical and Strategic ImpactAudience Engagement and InteractionConclusion 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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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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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

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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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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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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: info@youreverydayai.com
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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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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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Join the discussion: Ask Jordan questions on AI

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
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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Join the discussion: Ask Jordan and Will and William questions on AI

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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

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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Join the discussion: Ask Jordan and Eric questions on AI and storytelling

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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
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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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Join the discussion: Ask Jordan questions on DeepSeek

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Email The Show: info@youreverydayai.com
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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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Join the discussion: Ask Jordan questions on OpenAI

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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

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

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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

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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