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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
1:49:41EN
Cognitive Revolution "How AI Changes Everything"· 21 nov 2024PódcastA Team of Fifteen Matched Meta’s Post-Training on Meta’s Own BasePresenta: Nathan LabenzNathan Lambert walks through Tulu 3: the three-stage recipe, the 1 percent versus 14 percent lesson, and why open post-training now lives or dies on data and evals.Modelos y entrenamientoPost-trainingData quality & curation+3
5:15:00EN
Lex Fridman· 11 nov 2024Pódcast · 2 vocesDario Amodei Has Seen This Scaling Movie Enough TimesInvitado: Dario Amodei · Presenta: 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.Modelos y entrenamientoSeguridad y gobernanzaScaling Laws+3
0:35EN
MBMatthew Berman· 6 nov 2024An IBM Visit: Granite Models, InstructLab and Quantum ComputingMatthew Berman · Forward FutureMatthew Berman previews a longer discussion of IBM’s small AI models, model customization and quantum research.Modelos y entrenamientoAI research
2:24:18EN
Cognitive Revolution "How AI Changes Everything"· 30 oct 2024PódcastMMLU Stays at Chance Until Late Training. Loss Is Only an Alarm.Presenta: Nathan LabenzZyphra’s training lead walks through Zamba 2’s hybrid architecture, the evals that actually matter, and the trade secrets small labs still have to rediscover.Modelos y entrenamientoLocal inferenceEvaluaciones+3
41:42EN
Sequoia Capital· 22 oct 2024PódcastNeural Networks Are Still Waiting for Their ThermodynamicsOpenAI researcher Dan Roberts on why physicists keep migrating into AI, and why the field still lacks the equivalent of the ideal gas law.Modelos y entrenamientoAI researchScaling Laws+3
1:19:00EN
20VC with Harry Stebbings· 7 oct 2024Pódcast · 2 vocesEiso Kant on Poolside, Compute and AI for Software DevelopmentInvitado: Eiso Kant · Presenta: Harry StebbingsPoolside’s CTO explains code-execution feedback, the cost of model development and his company’s ambitions in the AI race.AI researchAgentes de programaciónModelos y entrenamiento+2
1:06:48EN
Unsupervised Learning: With Jacob Effron· 3 oct 2024Pódcasto1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning PointPresenta: Jacob EffronStanford’s Percy Liang splits OpenAI’s o1 into a disappointing product and the most important research signal in years.Modelos y entrenamientoReasoning & test-time computeAI research+3
45:22EN
Sequoia Capital· 2 oct 2024PódcastAlphaGo Thought 30 Seconds a Move. o1 Made “Think Longer” GeneralOpenAI researchers Noam Brown, Ilge Akkaya, and Hunter Lightman on teaching language models to reason, the generator-verifier gap, and a second scaling curve at inference time.Modelos y entrenamientoReasoning & test-time computeReinforcement Learning+3
2 diapositivas9:15EN
MBMatthew Berman· 25 sept 2024Llama 3.2 Adds Vision and Smaller On-Device ModelsMatthew Berman · Forward FutureIn a Meta-partnered 2024 video, Matthew Berman reviews the model family, its tooling and a brief hosted 1B demonstration.Open-weight modelsMultimodal AILocal inference+1
39:45EN
Sequoia Capital· 24 sept 2024PódcastHarmonic’s Bet: Teach AI Math Directly, and the Riemann Hypothesis Falls by 2029Robinhood’s Vlad Tenev and Harmonic co-founder Tudor Achim tell Sequoia why math is reasoning, why Lean is the verifier, and why they refuse to wait for mathematical skill to emerge from scale.Modelos y entrenamientoSynthetic dataReinforcement Learning+3
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
Diapositivas0:54EN
MBMatthew Berman· 16 sept 2024OpenAI’s o1 Preview: A First Look at Longer ReasoningMatthew Berman · Forward FutureMatthew Berman introduces the o1-preview and o1-mini models and tries a Python game prompt.Modelos y entrenamientoInference
2 diapositivas35:30EN
MBMatthew Berman· 6 sept 2024Reflection 70B: Its Creators Explain the Proposed Self-Correction MethodMatthew Berman, Matt Shumer, Sahil Chaudhary · Forward FutureA launch-day discussion with Matt Shumer and Sahil Chaudhary covers synthetic data, selective reflection and evaluation limits.Modelos y entrenamientoData quality & curationEvaluaciones+2
1:03:46EN
20VC with Harry Stebbings· 4 sept 2024Pódcast · 2 vocesZico Kolter on AI Safety, Scaling and the Limits of Open ModelsInvitado: Zico Kolter · Presenta: Harry StebbingsThe Carnegie Mellon researcher and OpenAI board member explains why prompt injection worries him, how he thinks about open weights, and why AI progress remains uncertain.AI SafetyPrompt injectionOpen-weight models+2
50:20EN
20VC with Harry Stebbings· 28 ago 2024Pódcast · 2 vocesArvind Narayanan on AI Scaling, Real-World Risks and the Limits of Model BenchmarksInvitado: Arvind Narayanan · Presenta: Harry StebbingsThe Princeton professor challenges simple claims about scaling, AGI timelines and AI adoption while discussing deepfakes, healthcare, education and security.Modelos y entrenamientoScaling LawsAI Safety+2
2 diapositivas9:43EN
MBMatthew Berman· 26 ago 2024Matthew Berman Tests Jamba 1.5 on Coding and Reasoning PromptsMatthew Berman · Forward FutureA 2024 hands-on test of AI21’s hybrid model finds slow output in one hosted session and mixed answers to a small set of prompts.Modelos y entrenamientoEvaluaciones
1:03:26EN
20VC with Harry Stebbings· 19 ago 2024Pódcast · 2 vocesAidan Gomez on Model Scaling, Data and Enterprise AIInvitado: Aidan Gomez · Presenta: Harry StebbingsThe Cohere CEO discusses the economics of foundation models, enterprise adoption, AI agents and the future he hopes the technology will enable.Foundation ModelsModelos y entrenamientoIA empresarial+2
1:33:07ZH
Zhang Xiaojun Podcast· 17 ago 2024Pódcast · 2 voces广密复盘全球大模型这一年:Scaling Law、AGI 豪赌与中美格局Invitado: 李广密 · Presenta: 张小珺拾象创始人李广密从硅谷一线观察出发,回顾 OpenAI、Anthropic、Google 与中国模型公司的竞争。他认为,模型能力与成本共同决定新一轮应用爆发,而巨额投入押注的是智能能否持续扩展以及 AI 对经济和产业的长期重构。Modelos y entrenamientoScaling LawsAI research+2
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