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32 diapositives1:50:48EN
Y Combinator· 24 oct. 2026Why Inference Matters 12× More Than TrainingFrançois Chaubard, Dan Fu, Jeff Morgan, Joe Fioti, Liangsheng Yin · Y CombinatorYC Paper Club walks the inference stack from an API request down to GPU kernels. Four talks from Together AI, Ollama, Luminal, and SGLang argue that serving quality, not just training FLOPs, is where most of the compute and the money now sit.InferenceGPU programming & kernelsKV caching & prefix reuse+2
2:00:51EN
Cognitive Revolution "How AI Changes Everything"· 10 oct. 2026PodcastResample Every Token and You Can Watch the Model DecideAnime : Nathan LabenzGoodfire's Eric Bigelow on forking paths, in-context learning, and why chain-of-thought monitoring is getting harder to trust.AgentsPrompting & in-context learningReasoning & test-time compute+3
1:09:44EN
No Priors: AI, Machine Learning, Tech, & Startups· 9 oct. 2026Podcast · 2 voix10,000 GB300s for Four Weeks: Reflection’s Open-Model LedgerAnime : Sarah Guo, Elad GilMisha Laskin tells No Priors how Reflection trained Beam, why reinforcement learning outspent pre-training, and why the West needs its own open weights.Open source et communautéOpen-weight modelsReinforcement Learning+3
56:31EN
Unsupervised Learning: With Jacob Effron· 6 oct. 2026PodcastPost-Training Wins Inference: Why Owning the Weights Beats Betting on One LabAnime : Jacob EffronApplied Compute CEO Yash Patil argues that control, private evals, and post-training on the biggest workloads matter more than fearing that frontier labs will turn malicious.Modèles et entraînementPost-trainingReinforcement Learning+3
2:06:11EN
Cognitive Revolution "How AI Changes Everything"· 14 août 2026PodcastLindy Runs on DeepSeek. Its CEO Still Wants Chinese Models BannedAnime : Nathan LabenzFlo Crivello tells Nathan Labenz how Lindy Teammate lives in Slack, reaches two billion tokens of memory in two model calls, and why he would still outlaw the cheap Chinese models that currently power the product.AgentsAgent memoryIngénierie du contexte+3
2:16:29EN
Cognitive Revolution "How AI Changes Everything"· 2 août 2026PodcastFrom Two Papers a Month to Sixty: What Two Weeks in China Revealed About AI SafetyAnime : Nathan LabenzNathan Labenz argues that the familiar 'China will never slow down' line does not survive contact with the actual Chinese AI safety ecosystem.SécuritéSécurité et gouvernanceAI security+3
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Sequoia Capital· 21 juil. 2026PodcastThey Refunded Nearly $2 Million. Then Factory’s CEO Explained the Dark FactoryMatan Grinberg on being two years early, why a model-agnostic harness beats lab co-design, and why 90 percent of coding tokens will soon run with the lights off.Agents de codeHarness engineeringModel routing & gateways+3
1:47:38EN
Cognitive Revolution "How AI Changes Everything"· 4 juil. 2026Podcast19 Neurons Can Drive a Car. Liquid AI Wants Foundation Models on Every ChipAnime : Nathan LabenzRamin Hasani traces liquid neural networks from a worm's 300-cell brain to a 600-megabyte model that will talk from inside a Mercedes, and explains why architecture search now beats architecture avengers.Modèles et entraînementLocal inferenceScaling Laws+3
1:06:36EN
Unsupervised Learning: With Jacob Effron· 12 juin 2026PodcastBills Doubled Overnight. Next, the APIs Might Vanish.Anime : Jacob EffronSix months after their last roundup, Ari Morcos and Rob Toews tell Jacob Efron why coding agents finally work, why near-frontier open weights may have peaked, and why a compute famine could pull the plug on public APIs.Entreprise et stratégieAI StrategyOpen-source ecosystems+3
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No Priors: AI, Machine Learning, Tech, & Startups· 1 mai 2026Podcast · 2 voixInference Is the Last Market: Baseten’s 30x YearAnime : Sarah Guo, Elad GilCEO Tuhin Srivastava on a billion-dollar inference cloud, why the app layer survives, and a GPU crunch worse than the narrative.Infrastructure et déploiementInferencePost-training+3
54:26EN
Cognitive Revolution "How AI Changes Everything"· 22 févr. 2026PodcastTen Billion Active Parameters, and the Unsexy Work of Making Them Agent-ReadyAnime : Nathan LabenzMiniMax researcher Olive Song explains how M2 was trained with expert developers as reward models, interleaved thinking, and a perturbation pipeline that treats every scaffold change as the real generalization test.Agents de codeReinforcement LearningIngénierie d’agents+3
4:25:13EN
Lex Fridman· 31 janv. 2026PodcastThe Architecture Barely Changed. Data, Cost, and Open Weights Did.Anime : Lex FridmanNathan Lambert and Sebastian Raschka walk Lex Fridman through a year in which training methods and datasets moved more than model design, and 2026 looks like a fight over inference cost, agents, and who owns truly open models.Modèles et entraînementScaling LawsOpen-weight models+3
1:54:30EN
Cognitive Revolution "How AI Changes Everything"· 9 janv. 2026PodcastFrom One in Ten Cancer Cells to One in a MillionAnime : Nathan LabenzNathan Labenz's solo AMA updates his son's lymphoma treatment, calls Claude Opus 4.5 software AGI, and ranks the live players of early 2026.Entreprise et stratégieAI StrategyAgents de code+3
1:16:21EN
No Priors: AI, Machine Learning, Tech, & Startups· 8 janv. 2026Podcast · 2 voixJensen Huang’s Year-End Case That Token Costs Can Fall a Billion-Fold Without Killing JobsAnime : Sarah Guo, Elad GilOn No Priors, NVIDIA’s CEO uses radiology, open source, and a $2 trillion R&D budget to argue that 2025’s extremes missed the stack.Entreprise et stratégieReasoning & test-time computeAI cost & performance+3
1:18:40EN
Cognitive Revolution "How AI Changes Everything"· 1 janv. 2026PodcastWhen AI Becomes the Oil Well: Luke Drago on the Intelligence CurseAnime : Nathan LabenzThe Workshop Labs co-founder tells the FLI Podcast why a world of non-human production could recreate the resource curse — and how private data, open weights, and moonshot careers might still break it.Entreprise et stratégieAI StrategySécurité et gouvernance+3
1:32:38EN
Cognitive Revolution "How AI Changes Everything"· 6 déc. 2025PodcastPolish Is 1% of Frontier Training Data, So Poland Built Its Own ModelAnime : Nathan LabenzMarek Kozlowski of Poland's National Information Processing Institute explains how PLLuM uses language adaptation, organic instructions, and on-prem small models to keep a mid-size country in control of its AI.Entreprise et stratégieOpen-weight modelsData quality & curation+3
1:09:48EN
Unsupervised Learning: With Jacob Effron· 5 déc. 2025PodcastChina's AI Labs Went From 15 to Six. The Compute Gap Is 15-to-1.Anime : Jacob EffronJordan Schneider tells Unsupervised Learning that Chinese models were a private-capital story, that Beijing still thinks in hardware, and that the West's real edge is chips it can serve — not a state master plan.Entreprise et stratégieGeopoliticsAI Strategy+3
1:25:54EN
Cognitive Revolution "How AI Changes Everything"· 3 déc. 2025PodcastHours after training ends, Z.ai puts the weights on the internetAnime : Nathan LabenzZixuan Li of Z.ai tells ChinaTalk how a Chinese lab ships GLM, treats open weights as a ticket into Western ecosystems, and still sees itself as an upstart.Entreprise et stratégieOpen-source ecosystemsOpen-weight models+3
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Sequoia Capital· 9 sept. 2025PodcastA $100 Arm and a $300 Robot: Hugging Face Wants an App Store for Physical AIThomas Wolf tells Sequoia's Training Data why LeRobot, cheap hardware, and open datasets are Hugging Face's bet that software developers can become roboticists.Open source et communautéRoboticsOpen-source ecosystems+2
47:18EN
No Priors: AI, Machine Learning, Tech, & Startups· 14 août 2025Podcast · 2 voixThe Analyst Tracking 200 GPU Clouds Breaks Nvidia Into a Three-Headed DragonAnime : Sarah Guo, Elad GilSemiAnalysis founder Dylan Patel on OpenAI’s open-weight model, a coming neocloud wipeout, and why a chip startup has to beat Nvidia on hardware, networking, and software at once.Infrastructure et déploiementInferenceAI cost & performance+3
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No Priors: AI, Machine Learning, Tech, & Startups· 31 juil. 2025Podcast · 2 voixThe Weekend DeepSeek Dropped, the White House CalledAnime : Sarah Guo, Elad GilSriram Krishnan walks No Priors through America’s 28-page AI Action Plan, a token-share definition of winning, and why the lead over China is too small to take for granted.Entreprise et stratégieAI StrategyInfrastructure et déploiement+3
2:14:55EN
Cognitive Revolution "How AI Changes Everything"· 26 juil. 2025PodcastFrom Character AI to a 1% Warning Shot: Gabriel Weil's Case for Liability as AI GovernanceAnime : Nathan LabenzA Touro law professor tells Nathan Labenz how negligence, strict liability, and punitive damages could make frontier labs treat public risk as a hit to their own balance sheet.SécuritéSécurité et gouvernanceAI Regulation+3
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
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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