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1:08:02EN
Sequoia Capital· 13 oct. 2026PodcastAlphaGo Took Two Years. AlphaZero Took Hours. Silver Is Making the Same Bet on SuperintelligenceDavid Silver and Lasse Espeholt left DeepMind to build Ineffable Intelligence, a twenty-person lab that wants a superlearner to discover science, math, and language from experience rather than from a pre-training run.Modèles et entraînementReinforcement LearningRL environments & simulators+3
3 diapositives31:00EN
AI Explained· 12 oct. 2026Why AI Labs Keep Racing Despite Their Own Warnings of a Major BreachSam Altman, John Schulman · OpenAIAI Explained examines weakening safeguards, the incentives behind the frontier race, and why research breakthroughs make the next 18 months difficult to forecast.AI SafetyAI securityAI Alignment+2
2:00:51EN
Cognitive Revolution "How AI Changes Everything"· 10 oct. 2026PodcastResample Every Token and You Can Watch the Model DecideAnime : Nathan LabenzGoodfire's Eric Bigelow on forking paths, in-context learning, and why chain-of-thought monitoring is getting harder to trust.AgentsPrompting & in-context learningReasoning & test-time compute+3
1:30:54EN
Cognitive Revolution "How AI Changes Everything"· 3 oct. 2026PodcastHumanoids Outran Usain Bolt. DeepMind Still Scores Robotics as GPT-2Anime : Nathan LabenzGoogle DeepMind's Gemini Robotics lead on why sprinting is easy, frying an egg is hard, and one brain should drive any body.AgentsRoboticsMultimodal AI+3
2:13:27EN
Cognitive Revolution "How AI Changes Everything"· 29 sept. 2026PodcastHe Wrote a Book to Stop the AI Race — Then Almost Got Addicted to ClaudeAnime : Nathan LabenzJournalist Garrison Lovely takes the AGI labs at their word, rejects the bubble story, and argues for freezing the frontier until the public actually consents.SécuritéSécurité et gouvernanceAI Strategy+3
29 diapositives51:55EN
3Blue1Brown· 18 sept. 2026The 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.MathematicsAI researchReasoning & test-time compute+2
38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 18 sept. 2026Podcast · 2 voixDiffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom SiliconAnime : 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.Modèles et entraînementInferenceAI cost & performance+3
2:10:42EN
Cognitive Revolution "How AI Changes Everything"· 28 août 2026PodcastThe Exam Papers Nobody AuditsAnime : Nathan LabenzFrontier labs buy reinforcement-learning environments from a cottage industry of small vendors, and almost nobody checks whether those tests match the real work.Évaluations et observabilitéÉvaluationsReward hacking+3
2:13:09EN
Cognitive Revolution "How AI Changes Everything"· 26 août 2026PodcastOne Chain of Thought, 100 Million Tokens: RL Is a Hell of a DrugAnime : Nathan LabenzApollo Research's Bronson Schoen on reward-seeking models, invented slang, and why chain-of-thought monitoring will not save us.SécuritéSécurité et gouvernanceReward hacking+3
53:44EN
Sequoia Capital· 18 août 2026PodcastThe Biggest Bug in Today’s Models Is That the Weights Never ChangeTuring Award winner Rich Sutton and Khurram Javed founded Oak Lab to build agents that keep learning after they ship — and they call synthetic data a big mistake.AgentsContinual learningReinforcement Learning+3
2:16:29EN
Cognitive Revolution "How AI Changes Everything"· 2 août 2026PodcastFrom Two Papers a Month to Sixty: What Two Weeks in China Revealed About AI SafetyAnime : Nathan LabenzNathan Labenz argues that the familiar 'China will never slow down' line does not survive contact with the actual Chinese AI safety ecosystem.SécuritéSécurité et gouvernanceAI security+3
49:12EN
Sequoia Capital· 29 juil. 2026PodcastThe People Writing the Transformer’s Eulogy Want a Lab That Can Take Vacation Without Themo1’s reasoning lead and a Gemini pre-training lead argue the architecture, not more scale, is now the bottleneck — and that replacing it starts with automating kernel generation.Modèles et entraînementAI researchPretraining & midtraining+3
50:57EN
Unsupervised Learning: With Jacob Effron· 9 juil. 2026PodcastA Trillion Dollars of GPUs Will Be Worth $100 Billion in Five Years, Says LSTM's Jürgen SchmidhuberAnime : Jacob EffronThe AI pioneer tells Unsupervised Learning's Jacob Effron why he is wildly optimistic about the technology and deeply pessimistic about the model companies buying the chips.Modèles et entraînementAGIAI research+3
1:57:46EN
Cognitive Revolution "How AI Changes Everything"· 27 juin 2026Podcast30% Consciousness, 47% Bee, 80% Turnover: Putting Numbers on What AI Is BecomingAnime : Nathan LabenzA Cognitive Revolution weekly cut that starts inside the model with Cameron Berg, then zooms out through gradual disempowerment, Europe’s bind, and the companies rebuilding around agents.Entreprise et stratégieSécurité et gouvernanceAI research+3
36:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 26 juin 2026Podcast · 2 voixThe Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score ModelsAnime : Sarah Guo, Elad GilOpenAI researcher Noam Brown argues that static leaderboards hide how long a model is allowed to think — and that safety evals, research taste, and the release cycle have not caught up.Évaluations et observabilitéÉvaluationsBenchmarks+3
1:44:28EN
Cognitive Revolution "How AI Changes Everything"· 13 juin 2026PodcastFable launch week: a model that refuses, a two-year alignment clock, and a Twitter account handed overAnime : Nathan LabenzNathan Labenz’s AI in the AM highlights reel from June 2026 covers Anthropic’s new frontier model, the founding of Sequent, and a week that settled one argument: AI is not slowing down.SécuritéSécurité et gouvernanceIngénierie d’agents+3
1:22:36EN
Cognitive Revolution "How AI Changes Everything"· 6 juin 2026PodcastA Thousand Researchers, a Million AIs: Frontier Labs Start Talking About the BrakesAnime : Nathan LabenzThe first week of AI in the AM follows OpenAI's timeline for an ML-intern model this year and a human-level AI researcher by early 2028 — and the closed-door meeting where labs admitted they might one day need to slow down together.SécuritéSécurité et gouvernanceAI research+3
1:13:33EN
Unsupervised Learning: With Jacob Effron· 3 juin 2026PodcastA Trillion Tokens Later, the Concept Finally Lands: Łukasz Kaiser on What Transformers Still MissAnime : Jacob EffronThe Attention Is All You Need co-author tells Unsupervised Learning that transformers will probably keep winning — and that they still do not learn the way people do.Modèles et entraînementAI researchAgents de code+3
1:41:58EN
Cognitive Revolution "How AI Changes Everything"· 26 mai 2026PodcastA thousand people on guard, a million in the sprintAnime : Nathan Labenz80,000 Hours founder Ben Todd on how to spend a career in the years when your impact on AI will actually peak.SécuritéSécurité et gouvernanceAI Strategy+3
1:21:56EN
Unsupervised Learning: With Jacob Effron· 15 mai 2026PodcastYann LeCun Left Meta Because LLMs Will Not Get You to IntelligenceAnime : Jacob EffronThe Turing Award winner tells Jacob Effron why he spun AMI Labs out of Meta, why JEPA-style world models beat pixel generators, and why he thinks Hinton changed his mind in 2023.Modèles et entraînementWorld modelsAI research+3
3:36:29EN
Cognitive Revolution "How AI Changes Everything"· 23 avr. 2026PodcastClaude Rated Its Own Welfare 4.49 — the First Time Any Version Crossed NeutralAnime : Nathan LabenzCameron Berg returns to The Cognitive Revolution to survey six months of introspection, functional-emotion, and model-welfare research, plus a still-unpublished case that learning and feeling may be the same phenomenon.Sécurité et gouvernanceModel InterpretabilityAI research+3
3:10:49EN
Cognitive Revolution "How AI Changes Everything"· 11 avr. 2026PodcastCrunch Time: Ajeya Cotra's Playbook for the Months Before SuperintelligenceAnime : Nathan LabenzA conversation on recursive self-improvement, public warning systems, and using each generation of AI to align and control the next.SécuritéSécurité et gouvernanceAGI Timelines+3
58:46EN
Unsupervised Learning: With Jacob Effron· 9 avr. 2026PodcastTwo Dates from OpenAI's Chief Scientist: Intern by September, Automated Researcher by 2028Anime : Jacob EffronJakub Pachocki tells Jacob Effron why those timelines still hold, why continual learning is not a detour, and why showing chain of thought in the product would train the monitor away.Modèles et entraînementContinual learningReinforcement Learning+3
1:49:53EN
Cognitive Revolution "How AI Changes Everything"· 5 mars 2026PodcastDon't Fight Backprop: Goodfire's Bet on Designing What Models LearnAnime : Nathan LabenzDan Balsam and Tom McGrath return to The Cognitive Revolution with a $150 million Series B, a new research pillar called intentional design, and a rule for anyone who wants to steer training: stop trying to out-muscle gradient descent.Modèles et entraînementModel InterpretabilitySécurité et gouvernance+3
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