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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
2:02:17EN
Cognitive Revolution "How AI Changes Everything"· 27 août 2025PodcastSAEs Find the Nouns. Parameter Decomposition Looks for the VerbsAnime : Nathan LabenzGoodfire's Lee Sharkey argues that sparse autoencoders recover a network's variables, not the algorithms those variables run, and shows how stochastic parameter decomposition tries to recover the computations themselves.Modèles et entraînementModel InterpretabilityAI research+3
1:37:05EN
Cognitive Revolution "How AI Changes Everything"· 19 juin 2025PodcastAn Algebraic Geometer Quit Tenure Because the Bowl-Shaped Loss Plot Is a LieAnime : Nathan LabenzJesse Hoogland and Daniel Murfet of Timaeus argue that singularities in the loss landscape — not the smooth valleys in every slide deck — are what actually govern how neural networks learn, generalize, and go wrong.Modèles et entraînementModel InterpretabilityFondamentaux du ML+3
2:12:00EN
Cognitive Revolution "How AI Changes Everything"· 15 mai 2025PodcastGradient Descent at Test Time: Titans Pushes LLM Context to 10 Million TokensAnime : Nathan LabenzA Cornell PhD student's neural memory module holds about 70% accuracy where GPT-4's scores fall off a cliff.Modèles et entraînementAgent memoryIngénierie du contexte+3
2:33:39EN
Cognitive Revolution "How AI Changes Everything"· 27 févr. 2025PodcastThe Attacker Goes Second: Why Nicholas Carlini Keeps Breaking AI DefensesAnime : Nathan LabenzA Google DeepMind security researcher on simple loss functions, 70% robust accuracy, and why the fix has to live in the system, not the model.SécuritéAI securitySécurité et gouvernance+3
1:40:22EN
Cognitive Revolution "How AI Changes Everything"· 22 janv. 2025PodcastTwenty-atom crystals taught an AI the physics of a heartbeatAnime : Nathan LabenzOrbital Materials' Jonathan Godwin and Tim Duignan tell Nathan Labenz how a neural network trained on tiny crystals simulated a potassium ion channel on a single 2017 GPU.Modèles et entraînementAI for scienceFondamentaux du ML+3
1:42:16EN
Cognitive Revolution "How AI Changes Everything"· 4 juil. 2024Podcast267 Papers in Seven Months: Albert Gu Explains the State Space Model RevolutionAnime : Nathan LabenzThe Mamba co-author walks through five years of recurrent-model work, why selective compression beats a growing KV cache, and what Mamba 2 trades away to train faster.Modèles et entraînementTransformers & attentionInference+3
1:54:01EN
Cognitive Revolution "How AI Changes Everything"· 26 juin 2024PodcastA Tiny Network Grew a Salt Crystal the Training Data Never ShowedAnime : Nathan LabenzTim Duignan trained tens of thousands of parameters on salt water. The model invented a crystal — and a continuum solvent theory he had spent a PhD failing to write by hand.Modèles et entraînementAI for scienceFondamentaux du ML+3
1:58:43EN
Cognitive Revolution "How AI Changes Everything"· 7 févr. 2024PodcastA Worm With 302 Neurons Already Makes Trade-offs. AI Is Still on the Same Ladder.Anime : Nathan LabenzMax Bennett maps 600 million years of brain evolution onto five breakthroughs — and asks which rungs today's models have actually reached.Modèles et entraînementAI HistoryNeuroscience & AI+3
1:19:24EN
Cognitive Revolution "How AI Changes Everything"· 17 nov. 2023PodcastA Toy Paper Did Not Prove LLMs Cannot Generalize. The Discourse Still Ran With It.Anime : Nathan LabenzNathan Labenz and Erik Torenberg unpack a viral DeepMind result, a weekend reproduction, and a premature war over voluntary AI commitments.Modèles et entraînementAI researchFondamentaux du ML+3
43:45EN
No Priors: AI, Machine Learning, Tech, & Startups· 3 août 2023Podcast · 2 voixEight Years of No Growth, Then OpenAI and NVIDIA Became His CustomersAnime : Sarah Guo, Elad GilWeights & Biases CEO Lukas Biewald tells No Priors how a labeling company with no chasm to cross funded the ML developer tools that trained most of the large language models.Évaluations et observabilitéObservabilité et fiabilitéWorkflows de développement et tests+3
1:33:56EN
Cognitive Revolution "How AI Changes Everything"· 6 juil. 2023PodcastThe AI Scouting Report: 90 Minutes From GPT-4's Exam Scores to Whether Models UnderstandAnime : Nathan LabenzNathan Labenz spends a solo episode walking through what general-purpose models can do, how they are trained, how capabilities unlock, and whether they understand anything at all.Modèles et entraînementFondamentaux du MLScaling Laws+3
1:32:22EN
Cognitive Revolution "How AI Changes Everything"· 29 juin 2023PodcastA Million Bytes and 256 Symbols: Meta's MEGABYTE Wants to Throw the Tokenizer AwayAnime : Nathan LabenzLili Yu of Meta AI explains a multiscale transformer that predicts million-byte sequences, skips tokenization, and aims to model any file as raw bytes.Modèles et entraînementMultimodal AITransformers & attention+3
1:52:46EN
Cognitive Revolution "How AI Changes Everything"· 27 juin 2023PodcastCharge Neural Nets by Connection Length, and the Black Box Splits Into Modules You Can SeeAnime : Nathan LabenzMIT physicist Ziming Liu walks Nathan Labenz through BIMT, a brain-inspired training trick that sparsifies networks until you can read them by looking.Modèles et entraînementModel InterpretabilityFondamentaux du ML+3
1:25:50EN
Cognitive Revolution "How AI Changes Everything"· 18 avr. 2023PodcastPrompt Engineering Became Programming, and Riley Goodside Is Fine With ThatAnime : Nathan LabenzScale AI’s first staff prompt engineer on tool use, fine-tuning without amnesia, generate-then-rank, and why the 2023 job-of-the-future story never arrived.Entreprise et stratégiePrompting & in-context learningStructured outputs+3
46:57EN
No Priors: AI, Machine Learning, Tech, & Startups· 2 mars 2023Podcast · 2 voix95% of Drug Programs Fail. Daphne Koller Is Betting Machine Learning on the First DecisionAnime : Sarah Guo, Elad GilA new medicine still takes more than a decade and well over a billion dollars — and Insitro's founder argues the expensive failures start with the wrong target, indication, or patient.Entreprise et stratégieAI in healthcareAI for science+3
2:31:57EN
Lex Fridman· 20 sept. 2021Podcast · 2 voixJay McClelland on How Thought Emerges From Neural NetworksInvité : Jay McClelland · Anime : Lex FridmanThe Stanford cognitive scientist talks with Lex Fridman about connectionism, backpropagation, David Rumelhart, and why intuition discovers what logic later proves.Modèles et entraînementFondamentaux du MLDeep Learning+3
2:51:33EN
Lex Fridman· 29 août 2021Podcast · 2 voixThe Self Is a GPT Prompt: Wojciech Zaremba on Consciousness, Codex, and Fermi's SilenceInvité : Wojciech Zaremba · Anime : Lex FridmanOpenAI co-founder Wojciech Zaremba tells Lex Fridman he thinks we might be alone in the universe — and that GPT-3, Codex, and a one-handed robot already hint at how intelligence is built.Modèles et entraînementAgents de codeFondamentaux du ML+3
2:18:29EN
Lex Fridman· 8 août 2021Podcast · 2 voixYour Cortex Is 150,000 Brains Voting on a Coffee CupInvité : Jeff Hawkins · Anime : Lex FridmanJeff Hawkins tells Lex Fridman that intelligence is learning a model of the world, the neocortex is tens of thousands of independent maps that vote, and the fastest path to machine intelligence is reverse-engineering that sheet.Modèles et entraînementNeuroscience & AIFondamentaux du ML+3
2:30:30EN
Lex Fridman· 31 juil. 2021Podcast · 2 voixThe Fallacy of the Successful First StepInvité : Ishan Misra · Anime : Lex FridmanBerkeley's Jitendra Malik explains why computer vision still looks easy, why fully autonomous driving is not near, and what children know that today's networks do not.Modèles et entraînementComputer VisionMultimodal AI+3
1:56:17EN
Lex Fridman· 19 avr. 2021Podcast · 2 voixIf You Reran Earth a Million Times, Would Anything Like Us Appear?Invité : Risto Miikkulainen · Anime : Lex FridmanRisto Miikkulainen on neuroevolution, hyena raids, basil that never sleeps, and why variation-plus-selection still finds solutions backpropagation cannot see.Modèles et entraînementFondamentaux du MLAI research+3
1:49:56EN
Lex Fridman· 7 févr. 2021Podcast · 2 voixA 21-Year-Old at a Party Called GameStop. He Was Right.Invité : Richard Craib · Anime : Lex FridmanNumerai founder Richard Craib talks with Lex Fridman about WallStreetBets, crowdsourced machine learning, and why finance is a machine for pulling the future into the present.Entreprise et stratégieIA en financeOpen-source ecosystems+3
2:02:45EN
Lex Fridman· 26 déc. 2020PodcastSteal the Code: You Get Zero Points for Making the Algorithm RunAnime : Lex FridmanCharles Isbell and Michael Littman tell Lex Fridman why machine learning is not just statistics, why struggle has to stay hopeful, and what a $6,600 online master's actually sells.Fondamentaux du MLAI in EducationAI research+3
2:01:07EN
Lex Fridman· 12 déc. 2020Podcast · 2 voixMichael Littman isn’t waiting for a runaway god. He’s watching us.Invité : Michael Littman · Anime : Lex FridmanThe Brown reinforcement-learning researcher tells Lex Fridman why accidental superintelligence feels like a 747 assembling itself — and why social media, rote language, and theory of mind worry him more.Modèles et entraînementReinforcement LearningAGI+3
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