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54:53EN
Unsupervised Learning: With Jacob Effron· 17 juin 2025PodcastA Free Voting Board Burned $2 Million. Then It Raised $100 Million.Anime : Jacob EffronDatabricks co-founder Ion Stoica explains why LMArena exists, why China is winning open-source models, and why reliability—not another scaling law—is still the thing holding AI back.Évaluations et observabilitéÉvaluationsBenchmarks+3
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Matthew Berman· 1 mai 2025Zuckerberg and Nadella on AI Coding, Agents and the Next Software StackMatthew Berman, Mark Zuckerberg, Satya Nadella · Forward FutureMatthew Berman examines their 2025 LlamaCon conversation about AI-assisted development, open models and changing workflows.Agents de codeIngénierie d’agentsAI Strategy+2
1:30:57EN
Cognitive Revolution "How AI Changes Everything"· 12 mars 2025PodcastAnt's $320 Billion IPO Was Stopped at the Eleventh Hour: Angela Zhang on China's Tech TightropeAnime : Nathan LabenzA USC law professor walks through the dynamic pyramid that governs Chinese tech, from Didi's listing to DeepSeek's price war, and why she thinks the United States is starting to look more like China.Entreprise et stratégieAI StrategySécurité et gouvernance+3
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Unsupervised Learning: With Jacob Effron· 5 mars 2025PodcastMike Schroepfer: AI’s Bottleneck Is Electricity, and One Tanker of Fusion Fuel Could Power the U.S. for a YearAnime : Jacob EffronMeta’s former CTO tells Redpoint why hyperscaler demand is the climate story, why Llama was an access play, and why tomorrow’s CTO still lives or dies on a priority queue.Infrastructure et déploiementAI StrategyOpen-weight models+3
1:08:51EN
Cognitive Revolution "How AI Changes Everything"· 1 mars 2025PodcastChip Controls Are Meant to Buy Ten Years, Not Win the AI RaceAnime : Nathan LabenzEconomist Noah Smith tells Nathan Labenz that U.S. export controls are a piece of conventional deterrence against China — not a plan to kneecap DeepSeek.SécuritéGeopoliticsAI Strategy+2
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Cognitive Revolution "How AI Changes Everything"· 27 févr. 2025PodcastThe Attacker Goes Second: Why Nicholas Carlini Keeps Breaking AI DefensesAnime : Nathan LabenzA Google DeepMind security researcher on simple loss functions, 70% robust accuracy, and why the fix has to live in the system, not the model.SécuritéAI securitySécurité et gouvernance+3
5:06:18EN
Lex Fridman· 2 févr. 2025PodcastDeepSeek's $5 million training claim and the five-year bet on computeAnime : Lex FridmanDylan Patel and Nathan Lambert walk Lex Fridman through DeepSeek-V3 and R1, export controls, TSMC, megaclusters, and who actually makes money in the AI race.Entreprise et stratégieOpen-weight modelsPretraining & midtraining+3
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20VC with Harry Stebbings· 29 janv. 2025Podcast · 2 voixJonathan Ross on DeepSeek, Open Models and AI InfrastructureInvité : Jonathan Ross · Anime : Harry StebbingsThe Groq CEO discusses reported training costs, inference demand, competitive strategy and the security concerns surrounding AI.InferenceAI cost & performanceGeopolitics+2
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Cognitive Revolution "How AI Changes Everything"· 25 janv. 2025PodcastFrom 15% to 70% on Right-or-Wrong Scores: DeepSeek-R1 Laid Reinforcement Learning's Cards on the TableAnime : 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.Modèles et entraînementReinforcement LearningReasoning & test-time compute+3
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Unsupervised Learning: With Jacob Effron· 21 janv. 2025PodcastA 50,000-GPU cap and a 1,700-chip loopholeAnime : Jacob EffronSemiAnalysis founder Dylan Patel walks through the AI diffusion rule, China’s compute squeeze, and how xAI stood up a 100,000-GPU cluster in a closed Memphis appliance factory.Infrastructure et déploiementAI RegulationGeopolitics+3
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Sequoia Capital· 14 janv. 2025PodcastIf Someone Builds a Better Spark Product, We Deserve to LoseIon Stoica on how Databricks turned academic open source into a data-and-AI company — and which problems he thinks will matter more tomorrow than today.Entreprise et stratégieCompany BuildingOpen-source ecosystems+3
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Cognitive Revolution "How AI Changes Everything"· 3 janv. 2025PodcastWith One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4oAnime : Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.Multimodal et médiasMultimodal AIVision et vidéo+3
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Cognitive Revolution "How AI Changes Everything"· 28 déc. 2024PodcastLess Than 1%: Why OpenAI's roon Thinks the Good Guys Get AGI FirstAnime : Nathan LabenzDoom Debates host Liron Shapira presses OpenAI technical staffer roon on extinction odds, alignment-by-default, and a plan that even he admits is balancing on razor wire.SécuritéSécurité et gouvernanceAGI Timelines+3
1:49:41EN
Cognitive Revolution "How AI Changes Everything"· 21 nov. 2024PodcastA Team of Fifteen Matched Meta’s Post-Training on Meta’s Own BaseAnime : 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.Modèles et entraînementPost-trainingData quality & curation+3
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Cognitive Revolution "How AI Changes Everything"· 30 oct. 2024PodcastMMLU Stays at Chance Until Late Training. Loss Is Only an Alarm.Anime : 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.Modèles et entraînementLocal inferenceÉvaluations+3
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Matthew 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.Modèles et entraînementData quality & curationÉvaluations+2
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20VC with Harry Stebbings· 4 sept. 2024Podcast · 2 voixZico Kolter on AI Safety, Scaling and the Limits of Open ModelsInvité : Zico Kolter · Anime : 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
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No Priors: AI, Machine Learning, Tech, & Startups· 29 août 2024Podcast · 2 voixAWS Is a $100 Billion Cloud. Matt Garman Still Sees a 10x Migration AheadAnime : Sarah Guo, Elad GilAmazon Web Services’ new CEO tells No Priors why 85 percent of workloads are still on-prem, how Bedrock was built from three bets, and why startups remain the company’s growth engine.Infrastructure et déploiementIA en entrepriseAI Strategy+3
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Sequoia Capital· 13 août 2024PodcastOpen and Closed Will Tie at the Same Size: PyTorch's Former Lead on Fast InferenceA six-month library swap at Meta became a five-year rebuild. Lin Qiao wants the rest of the industry to get that stack in five weeks.Infrastructure et déploiementInferenceFine-tuning+3
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Sequoia Capital· 30 juil. 2024PodcastMeta 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.Open source et communautéOpen-weight modelsDistillation+3
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Matthew Berman· 25 juil. 2024Mark Zuckerberg on Llama 3.1, Open Models and Meta’s AI StrategyMatthew Berman, Mark Zuckerberg · Forward FutureMatthew Berman reacts to Zuckerberg’s 2024 interview on open-weight AI, safety, platform control and a future of personalized agents.Open-weight modelsAI StrategyAI Safety+2
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Cognitive Revolution "How AI Changes Everything"· 26 juin 2024PodcastA Tiny Network Grew a Salt Crystal the Training Data Never ShowedAnime : Nathan LabenzTim Duignan trained tens of thousands of parameters on salt water. The model invented a crystal — and a continuum solvent theory he had spent a PhD failing to write by hand.Modèles et entraînementAI for scienceFondamentaux du ML+3
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20VC with Harry Stebbings· 29 avr. 2024Podcast · 2 voixArthur Mensch on Mistral’s Open Models, Compute and Developer StrategyInvité : Arthur Mensch · Anime : Harry StebbingsThe Mistral AI co-founder explains the company’s mix of open and commercial models, its compute constraints and its bet on efficient developer tools.Foundation ModelsOpen-weight modelsAI cost & performance+2
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Cognitive Revolution "How AI Changes Everything"· 20 avr. 2024PodcastThe Cheapest Inference Provider Is the Most DangerousAnime : Nathan LabenzFireworks AI cofounders Lin Qiao and Dmytro Ivchenko explain why subsidized GPU bills vanish, how LoRA serving can cut cost a hundredfold, and why OpenAI is the rival that actually matters.Infrastructure et déploiementInferenceAI cost & performance+3
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