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0:37EN
Matthew Berman· 2026年9月21日A Fruit-Fly Connectome, Online Simulations and Questions About ExperienceMatthew Berman · Forward FutureMatthew Berman shows playful simulated-fly demonstrations and asks whether a future complete simulation could suffer. A neural wiring map and those demonstrations do not establish a conscious digital animal.
1:19:04EN
20VC with Harry Stebbings· 2026年9月21日ポッドキャスト · 2 人Daniel Dines on AI Agents, Enterprise Work and the Limits of Automationゲスト Daniel Dines · ホスト Harry StebbingsThe UiPath co-founder argues that companies need a map of work and reliable automation alongside AI, while Harry Stebbings challenges his assumptions about how fast jobs will change.
30:29EN
Theo - t3․gg· 2026年9月21日Jev: A Fast Classifier for Structured DecisionsTheo Browne · T3Theo Browne explores Typesafe AI’s Jev through classification, game and developer-workflow demos, and explains where he thinks a reasoning model is still needed.
0:51ENMatthew Berman· 2026年9月21日Jev Demos: Fast AI for Search, Classification and BrowsingMatthew Berman · Forward FutureMatthew Berman highlights a collection of community-built demonstrations using Jev.
2:14:20EN
Machine Learning Street Talk· 2026年9月21日ポッドキャスト · 2 人Alexander Mattick on Inference, Constraints and World Modelsゲスト Alexander Mattick · ホスト Tim ScarfeWhy generative modeling, reinforcement learning and robotics all depend on assumptions and costs.
0:24ENTheo - t3․gg· 2026年9月19日Why Theo Worries About AI Harm Before ShutdownTheo Browne · T3Theo Browne argues that harmful effects could persist even after a system is switched off.
1:40:36EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月19日ポッドキャストThe Labs Are Screaming: Internal Models Are a Generation Aheadホスト Nathan LabenzA week of Cognitive Revolution live shows on Dario Amodei's call to pace the frontier, a Trump–Xi deal that may not be needed, an AI store manager that fired a worker, and a new pain axis inside language models.
1:19:54EN20VC with Harry Stebbings· 2026年9月19日ポッドキャスト · 2 人Thomas Sohmers on AI Inference, Memory and Data-Center Growthゲスト Thomas Sohmers · ホスト Harry StebbingsPositron’s co-founder discusses the engineering economics of inference, his views on AI infrastructure and regulation, and the risks he sees in financing and concentration.
1:19:48EN
Hard Fork· 2026年9月18日ポッドキャスト · 2 人AI Safety, Regulation and a Hard Fork Farewellホスト Kevin Roose, Casey NewtonKevin Roose and Casey Newton discuss the debate and reflect on their show.
0:22ENMatthew Berman· 2026年9月18日A Needle-in-a-Haystack Game, One Piece at a TimeMatthew Berman · Forward FutureMatthew Berman shows a game he says hides one needle among five million pieces of hay and jokes about searching it on a 48-hour livestream.
27:09ENTheo - t3․gg· 2026年9月18日Why Theo Values Reliable Coding Agents Over Peak PerformanceTheo Browne · T3Theo Browne argues that a model’s weakest moments matter when a coding task stretches from investigation through testing and review.
1:05ENMatthew Berman· 2026年9月18日NVIDIA PAIR Routes Local AI Requests Across ComputersMatthew Berman · Forward FutureMatthew Berman demonstrates NVIDIA's local-network router for distributing AI inference work among compatible machines.
51:55EN
3Blue1Brown· 2026年9月18日The last IMO problem AI could not solveGrant Sanderson · 3Blue1BrownGrant Sanderson walks through IMO 2025 Problem 6 — a tiling puzzle that frontier models missed — and the visual patience it takes to prove a construction is optimal.
38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年9月18日ポッドキャスト · 2 人Diffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom Siliconホスト Sarah Guo, Elad GilThe Stanford diffusion pioneer tells No Priors why a 50-person lab is training language models that generate many tokens at once — and why that maps to GPUs the way transformers once mapped to training.
0:22ENTheo - t3․gg· 2026年9月18日AI Leaders Express Support for Slowing the FrontierTheo Browne · T3Theo Browne discusses public responses to Dario Amodei’s proposal for independent AI evaluators.
12:31ENMatthew Berman· 2026年9月18日Jev's Fast Decisions: Demos, Tradeoffs and Reliability ClaimsMatthew Berman · Forward FutureMatthew Berman explores a decision-oriented AI model through routing, simulated worlds, chess and game-control examples.
36:29EN
Y Combinator· 2026年9月17日Y Combinator’s View of Startups in 2026: Hard Tech, AI and Solo FoundersGarry Tan, Jared Friedman, Diana Hu, Harj Taggar · Y CombinatorThe Lightcone panel shares its own batch data and observations about robotics, agent workflows and founder experience.
1:19:28EN20VC with Harry Stebbings· 2026年9月17日ポッドキャスト · 3 人AI Safety, Personal Agents and the Venture Market’s Uneven Exitsゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate oversight of advanced AI, the economics of personal assistants and what a weaker software exit market means for investors.
1:12ENMatthew Berman· 2026年9月17日A Sponsored Look at Higgsfield's Image and Video APIMatthew Berman · Forward FutureMatthew Berman uses a real-versus-AI video comparison to introduce Higgsfield's model catalog and generation-based API billing.
1:20:10EN
Dwarkesh Patel· 2026年9月17日ポッドキャスト · 2 人Noam Brown on Agent Swarms, Research Acceleration and Alignmentゲスト Noam Brown · ホスト Dwarkesh PatelA conversation about parallel agents, uncertain recursive self-improvement and how to evaluate increasingly capable systems.
1:36:36EN
The Pragmatic Engineer· 2026年9月17日ポッドキャスト · 2 人Matt Pocock on AI Skills and the Software Fundamentals That Still Matterゲスト Matt PocockThe educator discusses grill-me, context, testing and the established engineering ideas he uses with coding agents.
1:06:47ENCognitive Revolution "How AI Changes Everything"· 2026年9月17日ポッドキャストEighty percent of what agents do should still be ordinary codeホスト Nathan LabenzZapier CEO Wade Foster tells Nathan Labenz that models top out at 40% on real automation tasks, users will not leave their daily driver, and the winning move is headless tools delivered through MCP.
0:33ENMatthew Berman· 2026年9月17日Anthropic's IPO and AI Safety: A Question of ConsistencyMatthew Berman, Christian Catalini · Forward FutureIn a short interview excerpt, Matthew Berman and economist Christian Catalini question how a planned public offering relates to warnings about advanced AI risk.
3:36:56EN
Lex Fridman· 2026年9月16日ポッドキャストPsychiatry Has Never Found Its Penicillinホスト Lex FridmanHistorian Andrew Scull tells Lex Fridman why the field can ease symptoms, has never cured a major mental illness, and keeps paying for overconfidence with patients' lives.もっと見る4,401 件中 24 件を表示