Konstantin Saifoulline

Tom Dietterich has worked in machine learning since the very first ML workshop in 1980. He explains why today's AI is brilliant until it meets something new, why we still can't guarantee its outputs, and who should be watching it.CHAPTERS00:00 Where "Machine Learning" Came From10:06 Neural Networks vs Kernel Methods: The Rise and Fall20:57 Where AI Research Is Heading Next28:51 What We Still Don't Understand About Deep Learning30:12 Why AI Safety Is a Moving Target32:59 Why Humans Still Need to Watch AI35:02 AI's Biggest Weakness: Anything New39:30 Why AI Forgets What It Learned40:46 When AI Fails, Who's to Blame?43:17 Who Monitors Superhuman AI?49:20 AI Agents, Regulation and What Comes Next#AI #MachineLearning #AISafety

AI is moving beyond screens and into the physical world.From autonomous robots to AI-powered customer support, government automation, and building habitats in space, the next wave of AI could transform much more than software.I sat down with Ben Holfeld to discuss how technology is changing the way we build businesses, distribute products, automate industries, and explore space.We cover why distribution is becoming increasingly important, the rise of physical AI, real-world applications of automation, and how robots could eventually help humanity expand beyond Earth.Chapters00:00 The Evolution of App Distribution05:56 The Rise of Physical AI11:59 AI in Customer Support and Enterprise Solutions18:11 The Future of Space Exploration and RoboticsHost: Konstantin SaifoullineGuest: Ben Holfeldhttps://konstantinseifoulline.comhttps://airsup.aiSubscribe for conversations about AI, robotics, space exploration, engineering, and the technologies shaping our future.#AI #Robotics #PhysicalAI #Automation #SpaceExploration

AI companies are racing to build bigger data centers. But the biggest bottleneck might not be chips. It's electricity.I sat down with Nat Bullard, co-founder and Chief Strategy Officer of Halcyon and former Chief Content Officer at BloombergNEF, to discuss the physical limits of scaling AI.00:00 Why AI can't scale without electricity02:30 Ranking AI's biggest infrastructure bottlenecks04:02 Why we're already hitting power limits05:07 Building power infrastructure outside the grid07:54 How xAI and Meta are securing electricity10:16 OpenAI, Anthropic and the race for power12:33 Backup power vs bridge power vs primary power13:55 The next five years of AI energy economics16:22 500 proposed gas plants and the future energy mix18:17 Why nuclear power may take longer to scale20:54 Gas vs nuclear vs renewables for the long term23:47 Building data centers in 12 months instead of 3625:01 What happens when GPUs become obsolete?27:23 Reusing waste heat from AI data centers30:59 Could data centers become part of future cities?33:54 How many announced data centers will actually get built?36:44 Are data centers in space realistic?38:32 US vs China: Who can scale electricity faster?40:42 Final thoughts

What happens when billions of AI agents start doing real work?Nick Vasilescu is the co-founder of Orgo, which is building cloud computers for AI agents. His thesis is simple: every AI worker will eventually need its own persistent computer, just like every human worker does today.Nick Vasilescu: @nickvasileshttps://www.orgo.ai00:00 Why 10 billion AI workers will need computers03:18 Orgo vs OpenAI and Grokbot06:02 Why agents need real computers08:07 How Orgo went viral11:48 Why viral content stopped converting13:57 The best AI agent tools right now17:42 Can smaller AI companies survive OpenAI?19:33 What San Francisco is building for the next 5–10 years20:50 The business opportunity in AI workers21:19 Generative UI and the end of static interfaces21:48 Voice becomes the interface for AI23:53 Is “Her” becoming real?25:53 What comes after phones and laptops?27:09 VR, glasses and holograms30:31 Can AI crack hardware and manufacturing?32:36 Autonomous factories and reindustrialization35:12 Do agents actually need computers?36:23 When AI becomes alien at using computers38:40 How Orgo plans to scale into enterprise

Casey Handmer is the founder and CEO of Terraform Industries, a company building machines that turn sunlight and air into synthetic fuel.00:00 Making fuel from sunlight and air02:48 How Terraform's technology works05:54 The hardest manufacturing problems08:59 Inside Terraform Industries12:05 How Casey hires exceptional people14:56 Leadership and staying focused18:07 Developing talent and building culture20:58 Terraform's long-term vision27:37 What happens when energy becomes abundant?30:28 Bringing industrial production back locally31:56 China's energy dependence33:49 Why Terraform may be difficult to copy37:11 The challenge of scaling hardware40:12 Why simpler machines win44:08 AI and automation in manufacturing49:32 Will humanoid robots take over factories?