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1:13:33EN
Unsupervised Learning: With Jacob Effron· 3 jun 2026PódcastA Trillion Tokens Later, the Concept Finally Lands: Łukasz Kaiser on What Transformers Still MissPresenta: 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.Modelos y entrenamientoAI researchAgentes de programación+3
2:02:17EN
Cognitive Revolution "How AI Changes Everything"· 27 ago 2025PódcastSAEs Find the Nouns. Parameter Decomposition Looks for the VerbsPresenta: 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.Modelos y entrenamientoModel InterpretabilityAI research+3
1:37:05EN
Cognitive Revolution "How AI Changes Everything"· 19 jun 2025PódcastAn Algebraic Geometer Quit Tenure Because the Bowl-Shaped Loss Plot Is a LiePresenta: 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.Modelos y entrenamientoModel InterpretabilityFundamentos de ML+3
2:12:00EN
Cognitive Revolution "How AI Changes Everything"· 15 may 2025PódcastGradient Descent at Test Time: Titans Pushes LLM Context to 10 Million TokensPresenta: Nathan LabenzA Cornell PhD student's neural memory module holds about 70% accuracy where GPT-4's scores fall off a cliff.Modelos y entrenamientoAgent memoryIngeniería de contexto+3
2:33:39EN
Cognitive Revolution "How AI Changes Everything"· 27 feb 2025PódcastThe Attacker Goes Second: Why Nicholas Carlini Keeps Breaking AI DefensesPresenta: 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.SeguridadAI securitySeguridad y gobernanza+3
1:40:22EN
Cognitive Revolution "How AI Changes Everything"· 22 ene 2025PódcastTwenty-atom crystals taught an AI the physics of a heartbeatPresenta: 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.Modelos y entrenamientoAI for scienceFundamentos de ML+3
1:42:16EN
Cognitive Revolution "How AI Changes Everything"· 4 jul 2024Pódcast267 Papers in Seven Months: Albert Gu Explains the State Space Model RevolutionPresenta: 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.Modelos y entrenamientoTransformers & attentionInference+3
1:54:01EN
Cognitive Revolution "How AI Changes Everything"· 26 jun 2024PódcastA Tiny Network Grew a Salt Crystal the Training Data Never ShowedPresenta: 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.Modelos y entrenamientoAI for scienceFundamentos de ML+3
1:58:43EN
Cognitive Revolution "How AI Changes Everything"· 7 feb 2024PódcastA Worm With 302 Neurons Already Makes Trade-offs. AI Is Still on the Same Ladder.Presenta: Nathan LabenzMax Bennett maps 600 million years of brain evolution onto five breakthroughs — and asks which rungs today's models have actually reached.Modelos y entrenamientoAI HistoryNeuroscience & AI+3
1:19:24EN
Cognitive Revolution "How AI Changes Everything"· 17 nov 2023PódcastA Toy Paper Did Not Prove LLMs Cannot Generalize. The Discourse Still Ran With It.Presenta: Nathan LabenzNathan Labenz and Erik Torenberg unpack a viral DeepMind result, a weekend reproduction, and a premature war over voluntary AI commitments.Modelos y entrenamientoAI researchFundamentos de ML+3
43:45EN
No Priors: AI, Machine Learning, Tech, & Startups· 3 ago 2023Pódcast · 2 vocesEight Years of No Growth, Then OpenAI and NVIDIA Became His CustomersPresenta: 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.Evaluaciones y observabilidadObservabilidad y fiabilidadFlujos de desarrollo y pruebas+3
1:33:56EN
Cognitive Revolution "How AI Changes Everything"· 6 jul 2023PódcastThe AI Scouting Report: 90 Minutes From GPT-4's Exam Scores to Whether Models UnderstandPresenta: 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.Modelos y entrenamientoFundamentos de MLScaling Laws+3
1:32:22EN
Cognitive Revolution "How AI Changes Everything"· 29 jun 2023PódcastA Million Bytes and 256 Symbols: Meta's MEGABYTE Wants to Throw the Tokenizer AwayPresenta: 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.Modelos y entrenamientoMultimodal AITransformers & attention+3
1:52:46EN
Cognitive Revolution "How AI Changes Everything"· 27 jun 2023PódcastCharge Neural Nets by Connection Length, and the Black Box Splits Into Modules You Can SeePresenta: 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.Modelos y entrenamientoModel InterpretabilityFundamentos de ML+3
1:25:50EN
Cognitive Revolution "How AI Changes Everything"· 18 abr 2023PódcastPrompt Engineering Became Programming, and Riley Goodside Is Fine With ThatPresenta: 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.Empresa y estrategiaPrompting & in-context learningStructured outputs+3
46:57EN
No Priors: AI, Machine Learning, Tech, & Startups· 2 mar 2023Pódcast · 2 voces95% of Drug Programs Fail. Daphne Koller Is Betting Machine Learning on the First DecisionPresenta: 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.Empresa y estrategiaAI in healthcareAI for science+3
2:31:57EN
Lex Fridman· 20 sept 2021Pódcast · 2 vocesJay McClelland on How Thought Emerges From Neural NetworksInvitado: Jay McClelland · Presenta: Lex FridmanThe Stanford cognitive scientist talks with Lex Fridman about connectionism, backpropagation, David Rumelhart, and why intuition discovers what logic later proves.Modelos y entrenamientoFundamentos de MLDeep Learning+3
2:51:33EN
Lex Fridman· 29 ago 2021Pódcast · 2 vocesThe Self Is a GPT Prompt: Wojciech Zaremba on Consciousness, Codex, and Fermi's SilenceInvitado: Wojciech Zaremba · Presenta: 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.Modelos y entrenamientoAgentes de programaciónFundamentos de ML+3
2:18:29EN
Lex Fridman· 8 ago 2021Pódcast · 2 vocesYour Cortex Is 150,000 Brains Voting on a Coffee CupInvitado: Jeff Hawkins · Presenta: 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.Modelos y entrenamientoNeuroscience & AIFundamentos de ML+3
2:30:30EN
Lex Fridman· 31 jul 2021Pódcast · 2 vocesThe Fallacy of the Successful First StepInvitado: Ishan Misra · Presenta: 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.Modelos y entrenamientoComputer VisionMultimodal AI+3
1:56:17EN
Lex Fridman· 19 abr 2021Pódcast · 2 vocesIf You Reran Earth a Million Times, Would Anything Like Us Appear?Invitado: Risto Miikkulainen · Presenta: Lex FridmanRisto Miikkulainen on neuroevolution, hyena raids, basil that never sleeps, and why variation-plus-selection still finds solutions backpropagation cannot see.Modelos y entrenamientoFundamentos de MLAI research+3
1:49:56EN
Lex Fridman· 7 feb 2021Pódcast · 2 vocesA 21-Year-Old at a Party Called GameStop. He Was Right.Invitado: Richard Craib · Presenta: 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.Empresa y estrategiaIA en finanzasOpen-source ecosystems+3
2:02:45EN
Lex Fridman· 26 dic 2020PódcastSteal the Code: You Get Zero Points for Making the Algorithm RunPresenta: 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.Fundamentos de MLAI in EducationAI research+3
2:01:07EN
Lex Fridman· 12 dic 2020Pódcast · 2 vocesMichael Littman isn’t waiting for a runaway god. He’s watching us.Invitado: Michael Littman · Presenta: 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.Modelos y entrenamientoReinforcement LearningAGI+3
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