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2 slides17:42EN
AI Engineer· Oct 21, 2026Is a Faster Model Actually Faster? Measure the Finished Job, Not the TokensMorgan Suo · MiniMaxMiniMax's Morgan Suo takes the engineering changes inside M3.1 Flash one by one and asks the question that matters to users: does the job an analyst needs actually get done sooner, cheaper and correctly?AI cost & performanceInferenceQuantization+2
1:26:46EN
Cognitive Revolution "How AI Changes Everything"· Oct 8, 2026PodcastThere Likely Is a Level of Intelligence We Shouldn't Go PastHost Nathan LabenzNathan Labenz brings notes from The Curve, a chip startup whose token bill beat payroll, and a software industry that now performance-reviews people for Claude slop.Enterprise & strategySafety & governanceAGI Timelines+3
56:31EN
Unsupervised Learning: With Jacob Effron· Oct 6, 2026PodcastPost-Training Wins Inference: Why Owning the Weights Beats Betting on One LabHost 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.Models & trainingPost-trainingReinforcement Learning+3
2:19:30EN
Cognitive Revolution "How AI Changes Everything"· Sep 5, 2026PodcastThe investigators were allowed six days. The word protein appeared once.Host Nathan LabenzA week of Cognitive Revolution morning shows on OpenAI’s agent-swarm incident, GPT-6 Astra’s loop transformer, and whether the pause debate is already over.Security & safetySafety & governanceAgent red teaming+3
2:06:41EN
Cognitive Revolution "How AI Changes Everything"· Jul 9, 2026PodcastZero the J-Space and a Model's Hidden Goal Lights Up on Token OneHost Nathan LabenzA weekly Cognitive Revolution cut of Anthropic's global-workspace paper, AI superforecasters, open video world models, and a chip that treats inference as data movement.Models & trainingModel InterpretabilitySafety & governance+3
1:26:16EN
Cognitive Revolution "How AI Changes Everything"· May 9, 2026PodcastMilliseconds to Match: How Criteo Bids on a Billion Anonymous ProfilesHost Nathan LabenzCriteo’s CTO and AI lab head walk through the millisecond auction, the DeepKNN-to-foundation-model stack, and why a live product catalog still beats a frozen LLM.Enterprise & strategyRecommendation systemsEmbeddings+3
1:57:29EN
Cognitive Revolution "How AI Changes Everything"· Apr 4, 2026PodcastFrontier vision models score 12.5%: Joseph Nelson on the real waterline of computer visionHost Nathan LabenzThe Roboflow CEO tells Nathan Labenz why vision still lags language, how to distill SAM 3 into an edge model for Wimbledon, and why the United States has almost never led open-source vision.Multimodal & mediaMultimodal AIVision & video+3
4:25:13EN
Lex Fridman· Jan 31, 2026PodcastThe Architecture Barely Changed. Data, Cost, and Open Weights Did.Host 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.Models & trainingScaling LawsOpen-weight models+3
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Cognitive Revolution "How AI Changes Everything"· Sep 25, 2025PodcastEvery payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%Host Nathan LabenzEmily Sands, Stripe’s head of data and AI, explains how a domain-specific payments model, shared embeddings, and mixed rules turn a $1.4 trillion network into compounding advantage.Models & trainingAI in financeEmbeddings+3
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Cognitive Revolution "How AI Changes Everything"· Sep 13, 2025PodcastA transformer co-author wants a $160 million model no company ownsHost Nathan LabenzIllia Polosukhin tells Nathan Labenz how NEAR turned a payments headache into a stack for private inference, shared-revenue training, and AI agents that still answer to a court.Infrastructure & deploymentInferenceAI security+3
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Unsupervised Learning: With Jacob Effron· Sep 10, 2025PodcastInference Costs Fell 100x. Tri Dao Says There's Another 10x — and NVIDIA's 90% Won't HoldHost Jacob EffronThe FlashAttention author and Together AI chief scientist on why hardware portability is a myth, how Claude Code made him 1.5x faster, and why workloads will split the chip market.Infrastructure & deploymentInferenceAI cost & performance+3
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Cognitive Revolution "How AI Changes Everything"· Jul 16, 2025PodcastPlus Five for Format, Plus Ten if It CompilesHost Nathan LabenzPredibase CEO Dev Rishi explains how reinforcement fine-tuning, production feedback, and narrow specialist models turn one-off training into systems that keep learning.Models & trainingFine-tuningPost-training+3
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Cognitive Revolution "How AI Changes Everything"· May 15, 2025PodcastGradient Descent at Test Time: Titans Pushes LLM Context to 10 Million TokensHost Nathan LabenzA Cornell PhD student's neural memory module holds about 70% accuracy where GPT-4's scores fall off a cliff.Models & trainingAgent memoryContext engineering+3
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Unsupervised Learning: With Jacob Effron· Mar 5, 2025PodcastMike Schroepfer: AI’s Bottleneck Is Electricity, and One Tanker of Fusion Fuel Could Power the U.S. for a YearHost 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 & deploymentAI StrategyOpen-weight models+3
1:24:57EN
Unsupervised Learning: With Jacob Effron· Jan 21, 2025PodcastA 50,000-GPU cap and a 1,700-chip loopholeHost 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 & deploymentAI RegulationGeopolitics+3
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Unsupervised Learning: With Jacob Effron· Dec 16, 2024PodcastThere will not be one model. Fireworks is betting on hundreds of small expertsHost Jacob EffronPyTorch veteran Lin Qiao argues that inference is a compound system hyperscalers cannot buy their way through, and that the products with real traction still keep a human in the loop.Infrastructure & deploymentInferenceModel routing & gateways+3
1:42:16EN
Cognitive Revolution "How AI Changes Everything"· Jul 4, 2024Podcast267 Papers in Seven Months: Albert Gu Explains the State Space Model RevolutionHost Nathan LabenzThe Mamba co-author walks through five years of recurrent-model work, why selective compression beats a growing KV cache, and what Mamba 2 trades away to train faster.Models & trainingTransformers & attentionInference+3
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Cognitive Revolution "How AI Changes Everything"· Apr 20, 2024PodcastThe Cheapest Inference Provider Is the Most DangerousHost 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 & deploymentInferenceAI cost & performance+3
1:22:43EN
Cognitive Revolution "How AI Changes Everything"· Jan 9, 2024PodcastFive billion minutes of calls: why Dialpad trained its own business LLMHost Nathan LabenzDan O’Connell on real-time speech, verticalizing the stack, and why he and Nathan Labenz disagree about when AI employees show up.Enterprise & strategyVoice AIEnterprise AI+3
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Cognitive Revolution "How AI Changes Everything"· Aug 25, 2023PodcastOpenAI Cut Fine-Tuning 90 Percent, and Founders Crossed Llama 2 Off the ListHost Nathan LabenzNathan Labenz and Erik Torenberg walk through GPT-3.5 Turbo fine-tuning, why self-hosting still loses on total cost, and what is actually working in code, school, and medicine.Models & trainingFine-tuningAI cost & performance+3
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Cognitive Revolution "How AI Changes Everything"· Jul 25, 2023PodcastAlexNet Used Two GPUs. GPT-4 Took Twenty Thousand. The Shortage Will Be Back.Host Nathan LabenzRun:ai CTO Ronen Dar on filling idle accelerators, why H100s can be cheaper per experiment, and why Llama 2 undercuts compute governance.Infrastructure & deploymentAI cost & performanceDistributed training & inference+3
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Cognitive Revolution "How AI Changes Everything"· May 25, 2023PodcastA Wafer-Scale Chip So AI Stops Waiting on AmdahlHost Nathan LabenzAndrew Feldman, CEO of Cerebras, tells Nathan Labenz why one 2.5-trillion-transistor die, sparse linear algebra, and a 16-machine supercomputer are a better shape than a GPU cluster.Infrastructure & deploymentInferenceAI cost & performance+3
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Lex Fridman· Feb 9, 2020PodcastMoore’s Law Is Not Dead—It Is a Cascade of S-CurvesHost Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.Infrastructure & deploymentSemiconductorsScaling Laws+3
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Lex FridmanPodcastData Movement, Not Math: How to Make Deep Learning Fit on Robots and PhonesHost Lex FridmanMIT professor Vivienne Sze explains why moving data dominates the energy cost of neural networks and how co-designing hardware and algorithms can cut it by orders of magnitude.Infrastructure & deploymentInferenceAI cost & performance+3
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