Everyday AI Podcast – An AI and ChatGPT Podcast

Everyday AI
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21 snips
Mar 25, 2025 • 30min

EP 489: Operational Muscle: The Missing Key to Every Company's AI Strategy

Andy Lin, VP of Strategy and CTO at Mark III Systems, specializes in AI innovations. He discusses the essential concept of 'operational muscle' for successful AI integration. Companies often overlook this, leading to AI failures. Andy emphasizes the importance of culture, process, and cross-functional collaboration in harnessing AI potential. He also explores digital twins as a practical strategy for organizations starting small with AI projects. The conversation highlights the need for effective teamwork and the iterative approach necessary for lasting AI success.
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41 snips
Mar 24, 2025 • 58min

Ep 488: NVIDIA’s big AI advancements, Claude gets the internet, ChatGPT gets new voice models, Gemini goes Canvas and more aI news that matters

NVIDIA unveils groundbreaking AI supercomputers that promise to change the game for local capabilities. Claude now has internet access, enhancing real-time web search. Exciting integrations emerge from Adobe and Microsoft, boosting productivity with new AI tools. Google’s Gemini offers new features, including Canvas and audio overviews. Plus, OpenAI rolls out fresh voice models! The discussion wraps around essential AI advancements, unpacking what these developments mean for businesses and industries.
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32 snips
Mar 21, 2025 • 38min

EP 487: How AI is making us more productive and dumber at the same time

Sumit Gupta, Lead BI Engineer at Notion, shares his insights on the double-edged sword of AI. With expertise in building data strategies, he discusses how AI tools can massively boost our productivity while simultaneously eroding our critical thinking. Gupta highlights the paradox of being more efficient yet potentially 'dumber' due to over-reliance on these technologies. He emphasizes the importance of balancing AI use with skill retention and urges listeners to maintain a thoughtful approach to integrating AI into their work.
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16 snips
Mar 20, 2025 • 33min

EP 486: Autonomous Driving: How new NVIDIA tech will make it a reality

Marco Pavone, Director of Autonomous Vehicle Research at NVIDIA and associate professor at Stanford, shares his insights on the cutting-edge advancements in autonomous driving technology. He unveils the Helios Full Stack System and discusses NVIDIA’s groundbreaking partnerships, including one with General Motors. Marco breaks down the challenges of scaling self-driving vehicles and emphasizes the role of data-driven paradigms. He also sheds light on how generative AI and innovative simulation technologies are paving the way for the future of road safety.
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Mar 19, 2025 • 21min

EP 485: Humanoids in our world. How it’ll work and what’s next

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 newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on these stories? Join the conversationUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics 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 RoboticsTimestamps:00:00 Exploring Humanoids and Robotics03:22 Rapid Advancement of Humanoid Technology06:46 AI-Powered Robotic Motion Control Advances11:22 Humanoid Robots Transform Warehouses13:27 Humanoids in Manufacturing and Logistics18:04 Developing Cooperative Robot Safety19:25 Humanoids: A Permanent Robotics EvolutionKeywords: 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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37 snips
Mar 18, 2025 • 33min

EP 484: The Next Frontier of Startups: Domain Experts in the Age of AI

Alia Babool, Platform Manager for NVIDIA's VC Alliance and a PhD holder in astrophysics and AI, shares her insights on the shifting startup landscape. She discusses the rising importance of domain expertise in AI-driven companies, emphasizing the transition from pure tech focus to addressing real-world problems. Alia also highlights NVIDIA's role in supporting venture capitalists and explores the challenges and opportunities for startups within this rapidly evolving ecosystem. The conversation uncovers how seasoned professionals can leverage their industry knowledge for innovation in an AI-centric world.
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38 snips
Mar 17, 2025 • 52min

EP 483: Inside Apple’s AI failures, Google and OpenAI asking feds for help on AI, NVIDIA GTC & more AI News That Matters

This installment digs into OpenAI and Google’s plea for copyright law changes to aid AI model training. Apple faces scrutiny over its AI strategy and the struggles of Siri amidst fierce competition. There’s a look at Google’s Gemini 2.0 enhancements, and the heated legal battle between Elon Musk and OpenAI regarding profit motives. Plus, DeepSeek's controversial employee restrictions highlight data security concerns, while NVIDIA's GTC conference reveals new economic implications of AI advancements.
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47 snips
Mar 14, 2025 • 54min

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.

Google sent shockwaves through the AI landscape with surprising updates to their Gemini models. The enhancements in Deep Research and the introduction of a lightweight Gemma 3 are game-changers for workflow efficiency. Excitement builds around the personalization features of Gemini and its integration with robotics. The discussion also dives into Google's shift towards local AI modeling, raising intriguing questions about privacy and personalization in the age of advanced AI. Tune in to discover how these developments are reshaping the competitive LLM landscape!
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20 snips
Mar 13, 2025 • 35min

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

Ruchir Puri, an IBM Fellow with a rich history in AI innovations like IBM Watson, discusses the shift from artificial general intelligence (AGI) to artificial useful intelligence (AUI). He argues for a focus on AI's practical applications that can enhance everyday life and business. Ruchir highlights how recent advancements in AI, especially large language models, are transforming the workforce. He also emphasizes the importance of human intelligence and emotional intelligence in leveraging AI effectively.
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20 snips
Mar 12, 2025 • 33min

EP 480: Day Zero of AI: Why Generative AI Is Just the Start

Ron Green, CTO of Kung Fu AI, shares insights on the exciting realm of generative AI, claiming we're at 'Day Zero'—the brink of major advancements. He discusses the latest breakthroughs from companies like Meta and OpenAI, and the transformative potential of reinforcement learning in AI reasoning. The conversation highlights the gap in AI adoption among businesses and emphasizes the importance of adaptation. Green also touches on the future of AI in healthcare and coding, envisioning a shift towards superhuman capabilities.

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