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58:47ENDaniel Pontecorvo on Cooling Trading Infrastructure and WorkspacesYaron Minsky, Daniel Pontecorvo · Jane StreetFrom dense GPU racks to movable desks, Jane Street’s physical engineering team designs around heat, power, failure and human comfort.
0:26ENxAI’s Memphis Expansion and an Overseas Power Plant, According to Dylan PatelMatthew Berman, Dylan Patel · Forward FutureMatthew Berman highlights Elon Musk’s response to Dylan Patel’s description of xAI’s computing and power plans in July 2025.
1:02:17ENDylan Patel on AI Labs, Chip Competition and the Race for SuperintelligenceMatthew Berman, Dylan Patel · Forward FutureThe SemiAnalysis founder discusses Meta’s AI talent drive, OpenAI’s Microsoft relationship, Apple’s strategy, accelerator economics and the future of work.
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.Moderation: 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.
0:59ENSatya Nadella on AI's Energy Use and Social PermissionMatthew Berman, Satya Nadella · Forward FutureIn a short interview excerpt, Microsoft's CEO argues that the technology industry must deliver broad benefits as its energy demand grows.
0:36ENHow Much Electricity Will AI Data Centers Use?Matthew Berman, Eric Schmidt · Forward FutureMatthew Berman highlights Eric Schmidt's congressional testimony and asks about AI's power demand. The dramatic 99% figure lacks a specified time frame and geographic scope in the quoted testimony.
2:10:07ENA $30,000 Operation Could Knock a $10 Billion Superintelligence Data Center Offline for a YearModeration: 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.
27:45ENNasdaq Down 8% and Ghibli Everywhere: AI Is Already in Inning ThreeModeration: Sarah Guo, Elad GilSarah Guo and Elad Gil on the latest image-gen wow cycle, why public-market panic is mostly noise for software startups, and where specialized models still have room.
1:14ENNVIDIA NIM Microservices Bring Packaged AI Models to RTX PCsMatthew Berman · Forward FutureIn an NVIDIA-sponsored short, Matthew Berman introduces local AI microservices, compatible applications and the planned PDF-to-podcast workflow.
45:06ENMike Schroepfer: AI’s Bottleneck Is Electricity, and One Tanker of Fusion Fuel Could Power the U.S. for a YearModeration: 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.
1:18:09ENSteeve Morin on AI Inference, Chips and the Cost of Switching HardwareGast: Steeve Morin · Moderation: Harry StebbingsThe ZML founder explains the difference between training and production inference and offers a competitive view of the AI hardware market.
54:55ENNew Jersey Cut Phone Waits from 40 Minutes to 90 SecondsModeration: 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.
1:25:52ENJonathan Ross on Groq, Inference Economics and the AI Infrastructure RaceGast: Jonathan Ross · Moderation: Harry StebbingsThe Groq CEO explains his bet on inference chips, compares his company’s architecture with GPUs, and discusses the financing and power needed to scale.
2:16:17ENA 10B Model Trained Across Three Continents — and an H200 for $1.49 an HourModeration: 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.
5:06:18ENDeepSeek's $5 million training claim and the five-year bet on computeModeration: Lex FridmanDylan Patel and Nathan Lambert walk Lex Fridman through DeepSeek-V3 and R1, export controls, TSMC, megaclusters, and who actually makes money in the AI race.
7:57ENStargate’s 2025 Announcement and the OpenAI–Microsoft PartnershipMatthew Berman · Forward FutureMatthew Berman reviews the planned US AI infrastructure project and a contemporaneous change to compute arrangements.
1:24:57ENA 50,000-GPU cap and a 1,700-chip loopholeModeration: Jacob EffronSemiAnalysis founder Dylan Patel walks through the AI diffusion rule, China’s compute squeeze, and how xAI stood up a 100,000-GPU cluster in a closed Memphis appliance factory.
23:37ENA Hundred GPUs in Seconds: Why Modal Threw Out Docker and KubernetesModeration: Sarah Guo, Elad GilErik Bernhardsson tells Elad Gil that AI inference is too bursty for year-long GPU contracts, and that the cloud should feel as fast as a laptop.
27:07ENAfter adding $100 billion a month, Jensen Huang says NVIDIA is selling the data centerModeration: Sarah Guo, Elad GilSarah Guo and Elad Gil clip their favorite 2024 No Priors conversations into a year-end reel of NVIDIA, Karpathy, Sierra, Sora, Waymo, Figma, and Scale.
2:11:15ENA 50% Chance of Extinction — and a $50 GPT-4 for EveryoneModeration: Nathan LabenzEmad Mostaque tells Nathan Labenz why he puts p(doom) at even odds, why a five-watt model changes the energy debate, and how the Intelligent Internet would fund universal basic AI with a Bitcoin-like token.
1:01:48ENReid Hoffman on Trade, AI, Energy and the Incoming Trump AdministrationGast: Reid Hoffman · Moderation: Harry StebbingsThe investor discusses political risks and opportunities, competition in AI, nuclear energy and the role of venture capital in a wide-ranging December 2024 interview.
55:50ENThere will not be one model. Fireworks is betting on hundreds of small expertsModeration: Jacob EffronPyTorch veteran Lin Qiao argues that inference is a compound system hyperscalers cannot buy their way through, and that the products with real traction still keep a human in the loop.
42:21ENThey Cooled 5,000 Watts per Square Centimeter in Space. Now Diamond Goes on AI ChipsModeration: Sarah Guo, Elad GilAkash Systems founders Felix Ejeckam and Ty Mitchell tell Sarah Guo why heat is the real limiter on AI, and how lab-grown diamond bonded to semiconductors is their answer.
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