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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
Diapositives5:47EN
Matthew Berman· 19 avr. 2023Sam Altman on Scaling AI Models: Matthew Berman Examines OpenAI’s 2023 DirectionMatthew Berman · Forward FutureA 2023 discussion of model scaling, possible ways to improve GPT-4 and the safety priorities OpenAI described at the time.Scaling LawsOpenAIModèles et entraînement+2
40:25EN
No Priors: AI, Machine Learning, Tech, & Startups· 6 avr. 2023Podcast · 2 voixA 6-Billion-Parameter Clone of ChatGPT’s Core TrickAnime : 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.Modèles et entraînementOpen-weight modelsFine-tuning+3
45:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 16 févr. 2023Podcast · 2 voixEmad Mostaque’s bet: open small models, not one giant brainAnime : 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.Open source et communautéOpen-weight modelsMultimodal AI+3
1:00:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2 févr. 2023Podcast · 2 voixForty games of Diplomacy, and nobody spotted the bot: Noam Brown’s 100,000x lessonAnime : 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.AgentsAI researchReasoning & test-time compute+3
1:36:11EN
Lex Fridman· 17 sept. 2022Podcast · 2 voix2029 Passes the Turing Test. 2045 Is Still the SingularityInvité : Ray Kurzweil · Anime : 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
1:29:10EN
Lex Fridman· 20 févr. 2020Podcast · 2 voixAndrew Ng: The Hardest Part of AI Is Rarely the AlgorithmInvité : Andrew Ng · Anime : Lex FridmanIn a conversation with Lex Fridman, Ng traces a path from late-night Coursera recordings to factory floors, arguing that messy data, habits, and starting small matter more than hype.Entreprise et stratégieDeep LearningScaling Laws+3
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Lex Fridman· 9 févr. 2020PodcastMoore’s Law Is Not Dead—It Is a Cascade of S-CurvesAnime : Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.Infrastructure et déploiementSemiconductorsScaling Laws+3
1:10:19EN
Unsupervised Learning: With Jacob EffronPodcastThe Robot That Folded the Laundry: Physical Intelligence’s Three FrontiersAnime : Jacob EffronKarol Hausman and Danny Driess explain how robot foundation models moved from coded primitives to web-scale pretraining, and why performance is now the hard gate.Modèles et entraînementRoboticsAI research+3
1:14:59EN
Lenny's PodcastPodcastWhy Anthropic's Ben Mann Thinks the Exponential Hasn't Slowed, and Why He Still Worries About SafetyAnime : Lenny RachitskyThe Anthropic co-founder on the AI talent war, scaling laws, the economic Turing test, jobs, leaving OpenAI, constitutional AI and how he forecasts the risk of superintelligence.SécuritéSécurité et gouvernanceAGI Timelines+3
1:19:48EN
Lex FridmanPodcastBigger Models, Cleaner Splits and Human Baselines: Andrew Ng's Practical Recipe for Applied Deep LearningAnime : Lex FridmanIn a 2016 Deep Learning School talk, Andrew Ng distills lessons from leading Baidu's AI team into a workflow for diagnosing models, handling data and building a career.Modèles et entraînementFondamentaux du MLDeep Learning+3
1:13:40EN
Unsupervised Learning: With Jacob EffronPodcastThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing MomentAnime : Jacob EffronVincent, a distinguished engineer at Waymo, explains how foundation models became teachers for self-driving, why the long tail and causality are the real frontier, and where robotics still lacks its generalist proof point.Autonomous DrivingRoboticsMultimodal AI+3
52:28EN
Lex FridmanPodcast · 2 voixRay Kurzweil on Hierarchies, the Neocortex and Merging with AIInvité : Ray Kurzweil · Anime : Lex FridmanIn an MIT AGI course lecture, Kurzweil connects the history of neural networks to his hierarchical theory of the neocortex, language understanding at Google, longevity, jobs and existential risk.Modèles et entraînementAGIAI History+3