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3 diapositivas15:45EN
MBMatthew Berman· 18 abr 2025AI News: Gemini 2.5 Flash, OpenAI Models, Claude Research and Kling 2.0Matthew Berman · Forward FutureMatthew Berman reviews a week of 2025 model releases, research tools and agent announcements, including historical price and benchmark comparisons.Modelos y entrenamientoAI cost & performanceAgentes
58:11EN
Sequoia Capital· 15 abr 2025PódcastPatrick Hsu Wants an App Store for Biology, Not Just Better DrugsThe Arc Institute co-founder argues that Evo 2, trained on genomes rather than proteins, should underpin tools for every step of the scientific method.Modelos y entrenamientoAI for sciencePretraining & midtraining+3
2:29:41ZH
Zhang Xiaojun Podcast· 7 abr 2025Pódcast · 4 voces陈建宇:机器人基座模型如何走向通用 VLAInvitado: 陈建宇 · Presenta: 张小珺从 SayCan、RT-2 到 Diffusion Policy,清华助理教授、星动纪元创始人陈建宇梳理机器人模型从借用语言模型到端到端 VLA 的路线。关键难题仍是多样化数据、跨本体泛化和高频动作控制。RoboticsModelos y entrenamientoMultimodal AI+2
1:14:11EN
Cognitive Revolution "How AI Changes Everything"· 5 abr 2025PódcastThe Reasoning Curve Was Smooth All Along: Gemini 2.5's Jack Rae on Thinking, Memory, and AGIPresenta: Nathan LabenzDeepMind's thinking-and-inference lead explains why RL-for-reasoning felt sudden, why Gemini shows raw chain of thought, and why a million-token window still is not memory.Modelos y entrenamientoReasoning & test-time computeReinforcement Learning+3
5 diapositivas26:05EN
MBMatthew Berman· 31 mar 2025Inside Claude: What Interpretability Research Reveals—and What It Cannot Yet ExplainMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s case studies on multilingual features, planning, arithmetic, hallucinations and safety.AI researchModelos y entrenamientoAI Safety+1
1:43:54EN
Cognitive Revolution "How AI Changes Everything"· 23 mar 2025PódcastA Year to Grow a Brain Organoid, an Hour to Simulate ItPresenta: Nathan LabenzStanford postdoc Siyu He tells Nathan Labenz how Squidiff and CORAL move single-cell and spatial experiments into the computer — and where the models still cannot go.Modelos y entrenamientoAI for scienceComputational Biology+3
35:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 20 mar 2025Pódcast · 2 vocesRobots Have No Wikipedia. Chelsea Finn Is Starting With Three Buildings.Presenta: 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.Modelos y entrenamientoRoboticsData quality & curation+3
1:10:23EN
Unsupervised Learning: With Jacob Effron· 17 mar 2025PódcastA Million Tokens per Dollar: Why Noam Shazeer Thinks Inference Compute Is Still UntappedPresenta: Jacob EffronThe Transformer co-inventor and Gemini researcher Jack Rae walk through test-time compute, Ilya Sutskever's AGI critique, and a four-year-old who now lectures his teacher about lizards.Modelos y entrenamientoReasoning & test-time computeScaling Laws+3
1:56:38EN
Cognitive Revolution "How AI Changes Everything"· 8 mar 2025Pódcasto3 took ARC from 20% to 87%. Nathan Labenz sketches early superintelligencePresenta: Nathan LabenzOn Consistently Candid, the Cognitive Revolution host argues that math and coding will be superhuman by 2026, and that a reasoning core plus specialist “intuitive physics” may already be enough.Modelos y entrenamientoReinforcement LearningDistributed training & inference+3
1:02:41EN
20VC with Harry Stebbings· 3 mar 2025Pódcast · 2 vocesMike Krieger on AI Products, Model Competition and the Future of CodingInvitado: Mike Krieger · Presenta: Harry StebbingsAnthropic’s chief product officer explains how he thinks about product design, model differentiation and the limits of current AI tools.AI StrategyProduct StrategyModelos y entrenamiento+2
57:41EN
No Priors: AI, Machine Learning, Tech, & Startups· 25 feb 2025Pódcast · 2 vocesA Hundred Million Cells, Four People, Three Days: Biology's ImageNet MomentPresenta: 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.Modelos y entrenamientoAI for scienceData quality & curation+3
1:18:09EN
20VC with Harry Stebbings· 24 feb 2025Pódcast · 2 vocesSteeve Morin on AI Inference, Chips and the Cost of Switching HardwareInvitado: Steeve Morin · Presenta: Harry StebbingsThe ZML founder explains the difference between training and production inference and offers a competitive view of the AI hardware market.Infraestructura y despliegueInferenceAI cost & performance+2
2:36:13ZH
Zhang Xiaojun Podcast· 24 feb 2025Pódcast · 2 voces松琳解读 DeepSeek、Kimi 与 MiniMax 的注意力新论文Invitado: Songlin Yang(松琳) · Presenta: 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 & kernelsModelos y entrenamiento+2
1:25:52EN
20VC with Harry Stebbings· 17 feb 2025Pódcast · 2 vocesJonathan Ross on Groq, Inference Economics and the AI Infrastructure RaceInvitado: Jonathan Ross · Presenta: 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.Infraestructura y despliegueModelos y entrenamientoAI cost & performance+2
22:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 7 feb 2025Pódcast · 2 vocesThe $5.5 Million Was Only the Last MilePresenta: 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.Modelos y entrenamientoAI StrategyAI cost & performance+3
2:49:35ZH
Zhang Xiaojun Podcast· 4 feb 2025Pódcast · 2 voces潘嘉怡解读 R1、o1 与 Kimi K1.5:强化学习如何教模型学会推理Invitado: 潘嘉怡 · Presenta: 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 LearningModelos y entrenamientoAI research+2
1:50EN
MBMatthew Berman· 30 ene 2025Five AI Trends Discussed by Coveo’s Sébastien PaquetMatthew Berman · Forward FutureMatthew Berman summarizes a 2025 interview on production systems, smaller models, agents and trust.IA empresarialAgentesModelos y entrenamiento+1
1:48:20EN
Cognitive Revolution "How AI Changes Everything"· 25 ene 2025PódcastFrom 15% to 70% on Right-or-Wrong Scores: DeepSeek-R1 Laid Reinforcement Learning's Cards on the TablePresenta: Nathan LabenzOn Inauguration Day 2025, DeepSeek and Moonshot dropped reasoning-model results that Nathan Labenz reads as proof the reinforcement-learning recipe is simple, public, and still climbing.Modelos y entrenamientoReinforcement LearningReasoning & test-time compute+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
2:04:45EN
Cognitive Revolution "How AI Changes Everything"· 7 ene 2025Pódcasto3 Hit Superhuman on ARC-AGI. It Still Lost at Tic-Tac-ToePresenta: Nathan LabenzNathan Labenz walks through OpenAI's o3 scores, deliberative alignment, and why 2024's biggest surprise was beating PhDs while failing to book a calendar invite.Modelos y entrenamientoReasoning & test-time computeBenchmarks+3
2 diapositivas30:29EN
MBMatthew Berman· 3 ene 2025How Researchers Think o1-Style Reasoning Models WorkMatthew Berman · Forward FutureMatthew Berman explains a research survey of policy initialization, rewards, search and reinforcement learning, and the open questions behind reasoning models.Reinforcement LearningModelos y entrenamientoAI research+1
1:27:13ZH
Zhang Xiaojun Podcast· 29 dic 2024Pódcast · 2 voces李想:汽车将从交通工具进化为空间机器人Invitado: 李想 · Presenta: 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
1:07:32EN
Unsupervised Learning: With Jacob Effron· 18 dic 2024Pódcasto1 Is a New Generation — and the Day AGI Arrives Will Feel BoringPresenta: Jacob EffronOpenAI’s former chief research officer Bob McGrew on why o1 is a 100x leap, why agents stall on reliability, and why AGI may land as office tedium rather than a single dramatic moment.Modelos y entrenamientoReasoning & test-time computeIngeniería de agentes+3
48:18EN
Unsupervised Learning: With Jacob Effron· 6 dic 2024PódcastNoam Brown: There's No Hard Wall—Just Eight Orders of Magnitude of HeadroomPresenta: Jacob EffronA ChatGPT query costs about a penny. The problems society cares about most, he says, are worth a million dollars.Modelos y entrenamientoReasoning & test-time computeAGI+3
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