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1:18:32EN
Cognitive Revolution "How AI Changes Everything"· 20 sept 2024PódcastA DNA Model That Can Tell Which Genes You Cannot TouchPresenta: Nathan LabenzStanford's Brian Hie walks through hybrid architectures, a genome-scale language model trained only on DNA, and an antibody that binds 25 times tighter than nature.Modelos y entrenamientoAI for scienceComputational Biology+3
49:14EN
Sequoia Capital· 17 sept 2024PódcastHumanoid robots fell from $1.5 million to $30,000. The GPT-3 moment is still a verbNvidia’s Jim Fan tells Sequoia how three kinds of data, a humanoid bet, and a System-1 motor-control model could unlock general-purpose robots.AgentesRoboticsScaling Laws+3
44:16EN
No Priors: AI, Machine Learning, Tech, & Startups· 5 sept 2024Pódcast · 2 vocesA perfect demo is ten years from a product you can pay forPresenta: Sarah Guo, Elad GilAndrej Karpathy uses Waymo's decade-long gap, Tesla's software bet, and a new AI course to argue that autonomous intelligence will stall at product and globalization, not at the first impressive clip.Empresa y estrategiaTransformers & attentionScaling Laws+3
1:23:57EN
Cognitive Revolution "How AI Changes Everything"· 4 sept 2024PódcastA Training Run Is a Particle Collider—and the China Contest Is a Fifty-Year RacePresenta: Nathan LabenzSamo Burja tells Nathan Labenz why ChatGPT's virality may have slowed AI science, and why Washington should treat Beijing as an economic rival rather than a military one.Empresa y estrategiaGeopoliticsAI Strategy+3
42:42EN
No Priors: AI, Machine Learning, Tech, & Startups· 22 ago 2024Pódcast · 2 vocesEthereum Once Held Two Thousand GPT-3 Clusters of GPUsPresenta: Sarah Guo, Elad GilFoundry CEO Jared Quincy Davis on idle H100s, why today's AI cloud is still colocation, and how compound systems move work off giant interconnected clusters.Infraestructura y despliegueAI cost & performanceDistributed training & inference+3
46:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 1 ago 2024Pódcast · 2 vocesOriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are NumberedPresenta: Sarah Guo, Elad GilGoogle DeepMind’s VP of research on Gemini, long context, the coming shift from pretraining to RL, and why AGI may never have a finish line.Modelos y entrenamientoAGI TimelinesPretraining & midtraining+3
42:08EN
Sequoia Capital· 30 jul 2024PódcastMeta Trained a 405B Teacher on 16,000 GPUs — Then Told the World to Distill ItTwo days after Llama 3.1 405B shipped, Meta's generative-AI product lead walks Sequoia through why the most expensive model in the family is free, and why he thinks the frontier itself is heading toward commodity.Código abierto y comunidadOpen-weight modelsDistillation+3
1:00:28EN
Sequoia Capital· 9 jul 2024PódcastScaling Laws Aren't Done. Don't Lock Yourself Into Yesterday's Architecture.Microsoft CTO Kevin Scott on why the exponential is still compounding, why inference will dwarf training, and why a language model is the world's crappiest database.Empresa y estrategiaScaling LawsInference+3
55:13EN
Sequoia Capital· 2 jul 2024PódcastThe Best AI Scores 39% on This Test. Zapier’s Co-Founder Put $1 Million on Beating ItFrançois Chollet designed ARC to measure skill-acquisition efficiency; five years later humans still crush it and frontier models do not.Evaluaciones y observabilidadBenchmarksAGI Timelines+3
1:01:55EN
Cognitive Revolution "How AI Changes Everything"· 1 jun 2024PódcastA $9 AI nurse, an 86 on the medical boards, and a 10% extinction linePresenta: Nathan LabenzNathan Labenz’s solo scouting report walks from medical state of the art through how models actually learn, then to live players, scaling trends, and a control plan that still does not exist.Empresa y estrategiaAI StrategyScaling Laws+3
29:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 9 may 2024Pódcast · 2 vocesThe Hyperscalers Are Spending $200 Billion — and the Next Bottleneck Is a Power PlantPresenta: Sarah Guo, Elad GilSarah Guo and Elad Gil walk through music models, on-device LLMs, long context, and why AI capex now sits beside oil and broadband.Infraestructura y despliegueAI cost & performanceIngeniería de contexto+3
31:24EN
No Priors: AI, Machine Learning, Tech, & Startups· 25 abr 2024Pódcast · 2 vocesSora's Leads: A Minute of HD Video Is Just the GPT-1 of Video ModelsPresenta: Sarah Guo, Elad GilAditya Ramesh, Tim Brooks, and Bill Peebles tell No Priors why text-to-video sits on the path to AGI, why they started from scratch instead of extending an image generator, and why they still have no product date.Multimodal y mediosVisión y vídeoWorld models+3
1:01:39EN
Cognitive Revolution "How AI Changes Everything"· 13 abr 2024PódcastGPT-5 Wants 100 Trillion Tokens. Does Earth Have Enough?Presenta: Nathan LabenzTraining GPT-3 took about a trillion tokens; GPT-4 took about ten trillion. The next jump is a data question as much as a compute one.Modelos y entrenamientoScaling LawsSynthetic data+3
40:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 25 ene 2024Pódcast · 2 voces99% of Factory Robots Are Dumb. Covariant Wants the Smart Ones Working in Warehouses FirstPresenta: Sarah Guo, Elad GilFormer OpenAI researcher Peter Chen explains why robot foundation models have to be trained on production floors, not in labs.Modelos y entrenamientoRoboticsFoundation Models+3
32:57EN
No Priors: AI, Machine Learning, Tech, & Startups· 9 nov 2023Pódcast · 2 vocesA 7-billion-parameter model on a MacBook: Mistral's CEO reruns the cost of AIPresenta: Sarah Guo, Elad GilArthur Mensch tells No Priors why Chinchilla made small models valuable, why open-sourcing Mistral 7B is not a bioweapon risk, and why guardrails belong on the application.Código abierto y comunidadOpen-source ecosystemsOpen-weight models+3
41:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 2 nov 2023Pódcast · 2 vocesReliability is the bottleneck. Autonomy is what would make AI feel alive.Presenta: Sarah Guo, Elad GilIlya Sutskever talks with Sarah Guo and Elad Gil about AlexNet, OpenAI’s capped-profit bet, why smaller models mainly lose reliability, and the line he draws for digital life.Modelos y entrenamientoAGIScaling Laws+3
1:19:52EN
Cognitive Revolution "How AI Changes Everything"· 18 oct 2023Pódcast1,000 H100s Take 115 Days; 22,000 Take FivePresenta: Nathan LabenzNathan Labenz and Trey Kollmer walk through cluster math that turns GPT-4-scale training into a weekly experiment, then four papers on search-augmented models, recursive code improvers, spatial maps inside Llama 2, and what networks do when they have no idea.Modelos y entrenamientoAI researchModel Interpretability+3
30:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 7 sept 2023Pódcast · 2 vocesA Dinner-Plate Chip Cut Training From 60 Days to 3.5Presenta: Sarah Guo, Elad GilCerebras CEO Andrew Feldman tells No Priors why wafer-scale silicon, not another GPU, is the answer to the compute crunch — and why most production models will stay at 13 billion parameters or below.Infraestructura y despliegueInferenceAI cost & performance+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
40:25EN
No Priors: AI, Machine Learning, Tech, & Startups· 6 abr 2023Pódcast · 2 vocesA 6-Billion-Parameter Clone of ChatGPT’s Core TrickPresenta: Sarah Guo, Elad GilDatabricks CTO Matei Zaharia tells Sarah Guo and Elad Gil how Dolly learned instruction-following on fifty times less data than GPT-3 — and why he would rather look facts up than bake them into a trillion-parameter network.Modelos y entrenamientoOpen-weight modelsAjuste fino+3
45:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 16 feb 2023Pódcast · 2 vocesEmad Mostaque’s bet: open small models, not one giant brainPresenta: Sarah Guo, Elad GilStability AI’s founder tells No Priors why foundation models should be public infrastructure, why small models can beat giant ones, and what that means for media, medicine, and AGI.Código abierto y comunidadOpen-weight modelsMultimodal AI+3
1:00:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2 feb 2023Pódcast · 2 vocesForty games of Diplomacy, and nobody spotted the bot: Noam Brown’s 100,000x lessonPresenta: Sarah Guo, Elad GilMeta’s Noam Brown tells Sarah Guo and Elad Gil how Cicero negotiated in English for 40 games on a tiny web community — and why thinking at decision time beat three years of scaling.AgentesAI researchReasoning & test-time compute+3
1:36:11EN
Lex Fridman· 17 sept 2022Pódcast · 2 voces2029 Passes the Turing Test. 2045 Is Still the SingularityInvitado: Ray Kurzweil · Presenta: Lex FridmanRay Kurzweil tells Lex Fridman why his dates have not moved, how to invent in the present tense, and why the replica of his father answered the meaning of life with one word: love.AGIAGI TimelinesConsciousness & Intelligence+3
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