Chaînes mises à jour récemment

Choisissez-en une pour ne voir qu’elleToutes les chaînes →

Résultats

96 articles
Trier
2:51:18EN
Zhang Xiaojun Podcast· 15 oct. 2026Podcast · 2 voixLindon Gao on Building Dyna Robotics and Finding a Path Through the FogInvité : Lindon Gao · Anime : 张小珺Dyna Robotics CEO Lindon Gao explains why his company builds intelligence through real workflows, how hardware and research must evolve together, and how a founder can find clarity by letting go of the need to be right.RoboticsProduct StrategyModèles et entraînement+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
7 diapositives1:16:29EN
Jane Street· 26 août 2026Grant Sanderson and Alok Puranik: Positional Encodings Through Group TheoryGrant Sanderson, Alok Puranik · 3Blue1BrownStarting with assumptions about attention, they derive matrix exponentials and connect rotations, decay and Jordan blocks to RoPE and ALiBi.Transformers & attentionMathematicsFondamentaux du ML+1
2:59:03EN
Zhang Xiaojun Podcast· 28 juil. 2026Podcast · 2 voixYou Kaichao on How vLLM Grew from Open-Source Project to AI Infrastructure CompanyInvité : You Kaichao · Anime : 张小珺Inferact co-founder You Kaichao traces vLLM’s path from Berkeley research to a company, then explains why model, inference, hardware and agent design increasingly have to move together.Company BuildingAI startups & small teamsAI research+2
3:46:12EN
Zhang Xiaojun Podcast· 16 juil. 2026Podcast · 2 voixKay Ke on Physical Intelligence, Robot Learning, and the Future of RoboticsInvité : Kay Ke · Anime : 张小珺Physical Intelligence researcher Kay Ke traces the field's research lineages and explains Pi's progression from π₀ to π*₀.₆. She also reflects on education, fiction, ambition, and what it means to build robots that work beyond a demo.RoboticsReinforcement LearningAI research+2
36:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 9 oct. 2025Podcast · 2 voixSTaR's Author Wants Models With EQ, Not Just More IQAnime : Sarah Guo, Elad GilEric Zelikman, the Stanford and xAI researcher behind STaR and Quiet-STaR, launches humans& on the bet that three years of IQ scaling left models emotionally unintelligent.Modèles et entraînementPost-trainingReinforcement Learning+3
4 diapositives13:30EN
3Blue1Brown· 17 août 2025How AlphaGeometry Combines Logical Proof with Creative ConstructionAleph0Aleph0 explains how a symbolic geometry solver gets surprisingly far without AI, and how a language model supplies the auxiliary constructions that take it to Olympiad level.MathematicsReasoning & test-time computeAI research+2
1:07:41EN
20VC with Harry Stebbings· 21 juil. 2025Podcast · 2 voixEdwin Chen on Building Surge and the Data Behind AI ModelsInvité : Edwin Chen · Anime : Harry StebbingsThe Surge founder discusses a bootstrapped business, training-data quality and the limits he sees in AI benchmarks and synthetic data.Data quality & curationCompany BuildingModèles et entraînement+2
47:05EN
Matthew Berman· 21 juil. 2025Logan Kilpatrick on AI Developers, Interfaces, and the Future of ModelsMatthew Berman, Logan Kilpatrick · Forward FutureIn a July 2025 conversation, Google’s Logan Kilpatrick discusses Windsurf, agent interfaces, coding skills, Veo, and the shifting boundary between models and application scaffolding.AI researchAgents de codeAgents+2
49:55EN
Matthew Berman· 17 juil. 2025Aravind Srinivas on Comet, AI Browsers and the Future of WorkMatthew Berman, Aravind Srinivas · Forward FuturePerplexity’s CEO explains why the company built a browser, how it evaluates models and why he expects AI to disrupt jobs.AgentsProduct StrategyAI Strategy+2
1:09EN
Matthew Berman· 3 juil. 2025A Discussion of GPT-4.5’s Scaling and TrainingA speaker offers an assessment of GPT-4.5’s cost, speed and alleged training challenges.Modèles et entraînementScaling Laws
9 diapositives22:05EN
Matthew Berman· 9 juin 2025Apple’s “Illusion of Thinking”: Puzzle Limits and a Code-Assisted TestMatthew Berman, Ilya Sutskever · Forward FutureMatthew Berman reviews Apple’s reasoning-model experiments and tests a different way to solve Tower of Hanoi using generated code.Reasoning & test-time computeBenchmarksÉvaluations+1
38:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 1 mai 2025Podcast · 2 voixo3 should wait exactly as long as the answer takesAnime : Sarah Guo, Elad GilOpenAI researchers Eric Mitchell and Brandon McKinzie tell No Priors why o3's leap is a chain of tools during reasoning — and why you should send the same prompt a hundred times.Modèles et entraînementReasoning & test-time computeReinforcement Learning+3
35:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 20 mars 2025Podcast · 2 voixRobots Have No Wikipedia. Chelsea Finn Is Starting With Three Buildings.Anime : Sarah Guo, Elad GilPhysical Intelligence’s cofounder tells No Priors why a generalist robot model has to be trained across embodiments, why open-sourcing hardware is a bet against the problem going unsolved, and why humanoids are a little overrated.Modèles et entraînementRoboticsData quality & curation+3
1:02:41EN
20VC with Harry Stebbings· 3 mars 2025Podcast · 2 voixMike Krieger on AI Products, Model Competition and the Future of CodingInvité : Mike Krieger · Anime : Harry StebbingsAnthropic’s chief product officer explains how he thinks about product design, model differentiation and the limits of current AI tools.AI StrategyProduct StrategyModèles et entraînement+2
57:41EN
No Priors: AI, Machine Learning, Tech, & Startups· 25 févr. 2025Podcast · 2 voixA Hundred Million Cells, Four People, Three Days: Biology's ImageNet MomentAnime : Sarah Guo, Elad GilVevo Therapeutics and the Arc Institute open-sourced Tahoe-100M and a 230-million-cell atlas in the same week — and argued that virtual cells, not just protein folders, are the next language model of biology.Modèles et entraînementAI for scienceData quality & curation+3
1:18:09EN
20VC with Harry Stebbings· 24 févr. 2025Podcast · 2 voixSteeve Morin on AI Inference, Chips and the Cost of Switching HardwareInvité : Steeve Morin · Anime : Harry StebbingsThe ZML founder explains the difference between training and production inference and offers a competitive view of the AI hardware market.Infrastructure et déploiementInferenceAI cost & performance+2
2:36:13ZH
Zhang Xiaojun Podcast· 24 févr. 2025Podcast · 2 voix松琳解读 DeepSeek、Kimi 与 MiniMax 的注意力新论文Invité : Songlin Yang(松琳) · Anime : 张小珺从动态稀疏注意力到线性注意力混合架构:三条长上下文路线如何兼顾训练、推理与硬件效率Transformers & attentionGPU programming & kernelsModèles et entraînement+2
1:25:52EN
20VC with Harry Stebbings· 17 févr. 2025Podcast · 2 voixJonathan Ross on Groq, Inference Economics and the AI Infrastructure RaceInvité : Jonathan Ross · Anime : Harry StebbingsThe Groq CEO explains his bet on inference chips, compares his company’s architecture with GPUs, and discusses the financing and power needed to scale.Infrastructure et déploiementModèles et entraînementAI cost & performance+2
22:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 7 févr. 2025Podcast · 2 voixThe $5.5 Million Was Only the Last MileAnime : Sarah Guo, Elad GilOn No Priors' 100th episode, Sarah Guo and Elad Gil separate DeepSeek's paper cost from the compute behind it, then walk through OpenAI's Deep Research, Stargate, and their bets for 2025.Modèles et entraînementAI StrategyAI cost & performance+3
2:49:35ZH
Zhang Xiaojun Podcast· 4 févr. 2025Podcast · 2 voix潘嘉怡解读 R1、o1 与 Kimi K1.5:强化学习如何教模型学会推理Invité : 潘嘉怡 · Anime : 张小珺伯克利博士生潘嘉怡带读 DeepSeek、OpenAI 与 Kimi 的推理模型报告,拆解长思维链、GRPO、奖励设计与蒸馏。R1-Zero 的“顿悟时刻”展示了推理策略如何在强化学习中涌现。Reinforcement LearningModèles et entraînementAI research+2
1:27:13ZH
Zhang Xiaojun Podcast· 29 déc. 2024Podcast · 2 voix李想:汽车将从交通工具进化为空间机器人Invité : 李想 · Anime : 张小珺理想汽车 CEO 李想谈公司为何从造车走向人工智能:基座模型是 AI 时代的操作系统,汽车是进入物理世界的重要载体。对他而言,技术路线最终要落实为更好的用户体验、能力与长期价值。AI StrategyProduct StrategyAutonomous Driving+2
5:15:00EN
Lex Fridman· 11 nov. 2024Podcast · 2 voixDario Amodei Has Seen This Scaling Movie Enough TimesInvité : Dario Amodei · Anime : Lex FridmanAnthropic’s CEO puts numbers on frontier training costs and AGI, then hands the mic to the people who shape Claude’s character and look inside its weights.Modèles et entraînementSécurité et gouvernanceScaling Laws+3
1:19:00EN
20VC with Harry Stebbings· 7 oct. 2024Podcast · 2 voixEiso Kant on Poolside, Compute and AI for Software DevelopmentInvité : Eiso Kant · Anime : Harry StebbingsPoolside’s CTO explains code-execution feedback, the cost of model development and his company’s ambitions in the AI race.AI researchAgents de codeModèles et entraînement+2
Charger plus24 sur 96 affichés