Afleveringen
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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.Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
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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
Topics Covered in This Episode:
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 feaSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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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.Newsletter: Sign up for our free daily newsletter
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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
Topics Covered in This Episode:
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-drivenSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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Zijn er afleveringen die ontbreken?
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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?Newsletter: Sign up for our free daily newsletter
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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
Topics Covered in This Episode:
Timestamps:
00:00 Exploring Humanoids and Robotics03:22 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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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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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
Topics Covered in This Episode:
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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Ready for ROI on GenAI? Go to youreverydayai.com/partner
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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.
Newsletter: Sign up for our free daily newsletter
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
More on this Episode: Episode Page
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Topics Covered in This Episode:
Timestamps:
00:00 Everyday AI News and Insights03:52 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 WorSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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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 WilsonNewsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Thoughts on these stories? Join the conversation
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
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
Topics Covered in This Episode: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.
Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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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.Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
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Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
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
Topics Covered in This Episode:
Timestamps:
00:00 Everyday AI Podcast & Newsletter03:57 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.
Newsletter: Sign up for our free daily newsletter
More on this Episode:Episode Page
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Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
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
Topics Covered in This Episode:
Timestamps:
00:00 Meta's In-House AI Chips Unveiled03:31 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Ready for ROI on GenAI? Go to youreverydayai.com/partner
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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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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
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
Topics Covered in This Episode:
Timestamps:
00:00 Exploring Microsoft Copilot Features04:07 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
Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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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. 👇Newsletter: Sign up for our free daily newsletter
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
More on this Episode: Episode Page
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn
Topics Covered in This Episode:
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 startupSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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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.
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
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan and Lina questions on AI bias
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:
Timestamps:
00:00 Everyday AI Podcast Intro05:05 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Ready for ROI on GenAI? Go to youreverydayai.com/partner
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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.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan and Anatoly questions on AI bias
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. 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 DataKeywords:
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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Ready for ROI on GenAI? Go to youreverydayai.com/partner
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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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More on this Episode: Episode Page
Join the discussion: Ask Jordan and Barr questions on AI and data
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. 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Ready for ROI on GenAI? Go to youreverydayai.com/partner
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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.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on OpenAI
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. 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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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.Newsletter: Sign up for our free daily newsletter
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
More on this Episode: Episode Page
Join the discussion: Thoughts on these stories? Join the conversation
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:
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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Ready for ROI on GenAI? Go to youreverydayai.com/partner
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How big is ChatGPT's new GPT-4.5 model? 🥵
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
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
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan about GPT-4.5
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:
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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Ready for ROI on GenAI? Go to youreverydayai.com/partner
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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.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan and Babak questions on AI agents
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. 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 IntegrationKeywords:
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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Ready for ROI on GenAI? Go to youreverydayai.com/partner
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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.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on OpenAI
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. 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 AISend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Ready for ROI on GenAI? Go to youreverydayai.com/partner
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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?
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on Claude
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. 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 Investment10:40 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 toolsSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Ready for ROI on GenAI? Go to youreverydayai.com/partner
-
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.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn
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 Controversy03:56 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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
Ready for ROI on GenAI? Go to youreverydayai.com/partner
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