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2:12:31ENMost Caffeine users have no idea they are on a blockchainHost Nathan LabenzDFINITY's Dominic Williams tells Nathan Labenz why a tamper-proof, unstoppable cloud is the right backend for AI that writes software from a chat box.
37:00ENThe AlphaChip Team That Laid Out Four TPUs Now Wants Every Company to Be DesignlessAnna Goldie and Azalia Mirhoseini tell Sequoia how an RL floorplanner survived TPU-team anger, learned to draw donut-shaped macros, and became a bet that AI will design chips that then feed AI.
38:21ENHow a Weekend Webcam Came to See 90 Billion Miles a YearSamsara CEO Sanjit Biswas on edge inference, messy road data, and why physical AI only counts once it is installed.
2:06:09ENOne ChatGPT query is a second in the microwaveHost Nathan LabenzAndy Masley walks Nathan Labenz through the energy and water math of AI, from a single prompt to an 80-gigawatt buildout.
1:02:19ENA Top Video Model's Half-Life Is 30 Days. fal Runs 600 AnywayThe fal founders tell Sequoia why generative video is a compute-bound problem that language-model shops keep underestimating, and why they will not let any customer marry a single model.
1:09:48ENChina's AI Labs Went From 15 to Six. The Compute Gap Is 15-to-1.Host Jacob EffronJordan Schneider tells Unsupervised Learning that Chinese models were a private-capital story, that Beijing still thinks in hardware, and that the West's real edge is chips it can serve — not a state master plan.
41:32ENMoore's Law Is Slowing. Nvidia's CTO Still Wants 10× a YearMichael Kagan on why Nvidia's $7 billion Mellanox deal, not just more transistors, is how you turn a data center into one computer.
1:16:53ENKarpathy Called Today's Models Slop. His Decade Timeline Still Sounds BullishHost Jacob EffronDatology AI's Ari Morcos and Radical Ventures' Rob Toews walk through Karpathy's cold water, OpenAI's dealmaking, and who actually pays for the data-center boom.
31:57ENPeak 700 GW, average 300 GW: Base Power is wiring home batteries into a power plantHost Sarah Guo, Elad GilZach Dell tells Elad Gil how a $1.3 billion raise, a Texas-only retail business, and a Tesla-and-SpaceX hiring bench are meant to cut the cost of moving an electron.
4:34:10ENPavel Durov Built Telegram for a Billion People. He Still Won't Carry a Phone.Guest Pavel Durov · Host Lex FridmanIn a four-and-a-half-hour conversation with Lex Fridman, the Telegram founder traces freedom from a childhood move out of the Soviet Union to a French jail cell, a poisoning, and a 40-person engineering team.
1:32:47ENA transformer co-author wants a $160 million model no company ownsHost Nathan LabenzIllia Polosukhin tells Nathan Labenz how NEAR turned a payments headache into a stack for private inference, shared-revenue training, and AI agents that still answer to a court.
59:06ENInference Costs Fell 100x. Tri Dao Says There's Another 10x — and NVIDIA's 90% Won't HoldHost Jacob EffronThe FlashAttention author and Together AI chief scientist on why hardware portability is a myth, how Claude Code made him 1.5x faster, and why workloads will split the chip market.
40:54ENSeventeen Years of Flat Power, and a Plan to Bring the Factories HomeHost Sarah Guo, Elad GilJacob Helberg, the under secretary of state designate for economic growth, energy, and the environment, argues that nuclear power and AI productivity—not cheap labor—are how America reshore its supply chain.
47:18ENThe Analyst Tracking 200 GPU Clouds Breaks Nvidia Into a Three-Headed DragonHost Sarah Guo, Elad GilSemiAnalysis founder Dylan Patel on OpenAI’s open-weight model, a coming neocloud wipeout, and why a chip startup has to beat Nvidia on hardware, networking, and software at once.
3:17:35ENTen Thousand Comments and 76 Spare Gigawatts: Four Months Writing America's AI Action PlanHost Nathan LabenzDean W. Ball spent four months as the White House's senior AI adviser, then left as the Action Plan landed — and explains how a to-do list got written inside a building that cannot run ChatGPT.
1:45:00ENAmerica Holds 45% of the World's Data Centers. Everyone Else Must Build, Buy, or AllyHost Nathan LabenzAnjney Midha of a16z maps what “sovereign AI” actually means for companies and for countries that will never own the talent, data, and compute frontier.
1:01:00ENv0 Hit 3 Million Users. Vercel’s CEO Says Pages Will Be Generated On Demand Within Five YearsFor a company that sells cloud hosting and frontend tools, one of the fastest-growing signup channels is ChatGPT.
36:48ENThe Weekend DeepSeek Dropped, the White House CalledHost Sarah Guo, Elad GilSriram Krishnan walks No Priors through America’s 28-page AI Action Plan, a token-share definition of winning, and why the lead over China is too small to take for granted.
40:33ENFifty People in Slack. Four Minutes to the Smoking Gun.Traversal's co-founders on turning DevOps heart attacks into agent-run root cause analysis — and why observability's second-largest software spend still leaves troubleshooting as a whodunit.
54:53ENA Free Voting Board Burned $2 Million. Then It Raised $100 Million.Host Jacob EffronDatabricks co-founder Ion Stoica explains why LMArena exists, why China is winning open-source models, and why reliability—not another scaling law—is still the thing holding AI back.
2:10:07ENA $30,000 Operation Could Knock a $10 Billion Superintelligence Data Center Offline for a YearHost Nathan LabenzGladstone AI’s Jeremy and Edouard Harris inventory what an American Manhattan Project for superintelligence would actually have to secure — and what it would cost in concrete, supply chains, and civil liberties.
45:06ENMike Schroepfer: AI’s Bottleneck Is Electricity, and One Tanker of Fusion Fuel Could Power the U.S. for a YearHost Jacob EffronMeta’s former CTO tells Redpoint why hyperscaler demand is the climate story, why Llama was an access play, and why tomorrow’s CTO still lives or dies on a priority queue.
54:55ENNew Jersey Cut Phone Waits from 40 Minutes to 90 SecondsHost Nathan LabenzGovernor Phil Murphy on the state AI assistant, a Princeton hub, and why he wants the best catcher's mitt in the country when superhuman systems arrive.
2:16:17ENA 10B Model Trained Across Three Continents — and an H200 for $1.49 an HourHost Nathan LabenzPrime Intellect's founders lay out a four-step plan to turn spare global GPUs into collectively owned intelligence, and argue that reinforcement learning just made their job easier.
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