최신 글
4,451개정렬
1:40:36EN
Cognitive Revolution "How AI Changes Everything"· 2026년 9월 19일팟캐스트The Labs Are Screaming: Internal Models Are a Generation Ahead진행자 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.
1:19:54EN
20VC with Harry Stebbings· 2026년 9월 19일팟캐스트 · 2명Thomas Sohmers on AI Inference, Memory and Data-Center Growth게스트 Thomas Sohmers · 진행자 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· 2026년 9월 18일팟캐스트 · 2명AI Safety, Regulation and a Hard Fork Farewell진행자 Kevin Roose, Casey NewtonKevin Roose and Casey Newton discuss the debate and reflect on their show.
0:22EN
Matthew Berman· 2026년 9월 18일A 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.
27:09EN
Theo - t3․gg· 2026년 9월 18일Why 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· 2026년 9월 18일NVIDIA 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· 2026년 9월 18일The 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· 2026년 9월 18일팟캐스트 · 2명Diffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom Silicon진행자 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· 2026년 9월 18일AI 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· 2026년 9월 18일Jev'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· 2026년 9월 17일Y 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· 2026년 9월 17일팟캐스트 · 3명AI Safety, Personal Agents and the Venture Market’s Uneven Exits게스트 Jason Lemkin, Rory O’Driscoll · 진행자 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· 2026년 9월 17일A 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· 2026년 9월 17일팟캐스트 · 2명Noam Brown on Agent Swarms, Research Acceleration and Alignment게스트 Noam Brown · 진행자 Dwarkesh PatelA conversation about parallel agents, uncertain recursive self-improvement and how to evaluate increasingly capable systems.
1:36:36EN
The Pragmatic Engineer· 2026년 9월 17일팟캐스트 · 2명Matt Pocock on AI Skills and the Software Fundamentals That Still Matter게스트 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"· 2026년 9월 17일팟캐스트Eighty percent of what agents do should still be ordinary code진행자 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· 2026년 9월 17일Anthropic'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· 2026년 9월 16일팟캐스트Psychiatry Has Never Found Its Penicillin진행자 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.
38:21ENTheo - t3․gg· 2026년 9월 16일How Theo Works With One Hand: Dictation and Coding AgentsTheo Browne · T3After a hand injury, Theo Browne combines voice input, one-handed navigation and agents to reduce friction in his daily work.
24:53EN
AI Explained· 2026년 9월 16일Why Some Researchers Want to Pace Frontier AIAI Explained surveys possible scaling routes, monitoring concerns and the debate over how capabilities could lead to harm.
0:45ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026년 9월 16일팟캐스트Brian Armstrong Predicts a Marketplace of Specialized AI Agents게스트 Brian ArmstrongA Coinbase executive discusses narrow models and a possible agent economy.
43:08EN
Reid Hoffman· 2026년 9월 16일팟캐스트 · 2명Seven Creators Explore AI: Reid Hoffman and Parth Patil게스트 Parth Patil · 진행자 Reid HoffmanWhat a summer of funded experiments revealed about games, agents and creative judgment.
2:09:42ENCognitive Revolution "How AI Changes Everything"· 2026년 9월 15일팟캐스트A Frontier Pause Would Help. America Will Not Sign One That Only Pauses the Frontier진행자 Nathan LabenzCarnegie fellow Anton Leicht tells Nathan Labenz why a six-month slowdown is technically overdue, why US-China incentives block it, and how Europe can still trade compute and ASML for a seat at the table.
46:53ENMatthew Berman· 2026년 9월 15일Dario Amodei’s AI Pacing Proposal and the Debate over Concentrated PowerMatthew Berman · Forward FutureMatthew Berman reviews a frontier-AI safety plan, weighs international coordination and warns that regulation could reinforce incumbent control.더 보기4,451개 중 24개 표시