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2 Folien17:42EN
AI Engineer· 21. Okt. 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"· 8. Okt. 2026PodcastThere Likely Is a Level of Intelligence We Shouldn't Go PastModeration: 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.Unternehmen & StrategieSicherheit & GovernanceAGI Timelines+3
56:31EN
Unsupervised Learning: With Jacob Effron· 6. Okt. 2026PodcastPost-Training Wins Inference: Why Owning the Weights Beats Betting on One LabModeration: 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.Modelle & TrainingPost-trainingReinforcement Learning+3
2:19:30EN
Cognitive Revolution "How AI Changes Everything"· 5. Sept. 2026PodcastThe investigators were allowed six days. The word protein appeared once.Moderation: 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.SicherheitSicherheit & GovernanceAgent red teaming+3
2:06:41EN
Cognitive Revolution "How AI Changes Everything"· 9. Juli 2026PodcastZero the J-Space and a Model's Hidden Goal Lights Up on Token OneModeration: 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.Modelle & TrainingModel InterpretabilitySicherheit & Governance+3
1:26:16EN
Cognitive Revolution "How AI Changes Everything"· 9. Mai 2026PodcastMilliseconds to Match: How Criteo Bids on a Billion Anonymous ProfilesModeration: 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.Unternehmen & StrategieRecommendation systemsEmbeddings+3
1:57:29EN
Cognitive Revolution "How AI Changes Everything"· 4. Apr. 2026PodcastFrontier vision models score 12.5%: Joseph Nelson on the real waterline of computer visionModeration: 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 & MedienMultimodal AIVision & Video+3
4:25:13EN
Lex Fridman· 31. Jan. 2026PodcastThe Architecture Barely Changed. Data, Cost, and Open Weights Did.Moderation: 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.Modelle & TrainingScaling LawsOpen-weight models+3
1:22:07EN
Cognitive Revolution "How AI Changes Everything"· 25. Sept. 2025PodcastEvery payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%Moderation: 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.Modelle & TrainingKI im FinanzwesenEmbeddings+3
1:32:47EN
Cognitive Revolution "How AI Changes Everything"· 13. Sept. 2025PodcastA transformer co-author wants a $160 million model no company ownsModeration: 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.Infrastruktur & DeploymentInferenceAI security+3
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Unsupervised Learning: With Jacob Effron· 10. Sept. 2025PodcastInference Costs Fell 100x. Tri Dao Says There's Another 10x — and NVIDIA's 90% Won't HoldModeration: 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.Infrastruktur & DeploymentInferenceAI cost & performance+3
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Cognitive Revolution "How AI Changes Everything"· 16. Juli 2025PodcastPlus Five for Format, Plus Ten if It CompilesModeration: 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.Modelle & TrainingFine-TuningPost-training+3
2:12:00EN
Cognitive Revolution "How AI Changes Everything"· 15. Mai 2025PodcastGradient Descent at Test Time: Titans Pushes LLM Context to 10 Million TokensModeration: Nathan LabenzA Cornell PhD student's neural memory module holds about 70% accuracy where GPT-4's scores fall off a cliff.Modelle & TrainingAgent memoryContext Engineering+3
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Unsupervised Learning: With Jacob Effron· 5. März 2025PodcastMike Schroepfer: AI’s Bottleneck Is Electricity, and One Tanker of Fusion Fuel Could Power the U.S. for a YearModeration: 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.Infrastruktur & DeploymentAI StrategyOpen-weight models+3
1:24:57EN
Unsupervised Learning: With Jacob Effron· 21. Jan. 2025PodcastA 50,000-GPU cap and a 1,700-chip loopholeModeration: 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.Infrastruktur & DeploymentAI RegulationGeopolitics+3
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Unsupervised Learning: With Jacob Effron· 16. Dez. 2024PodcastThere will not be one model. Fireworks is betting on hundreds of small expertsModeration: 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.Infrastruktur & DeploymentInferenceModel routing & gateways+3
1:42:16EN
Cognitive Revolution "How AI Changes Everything"· 4. Juli 2024Podcast267 Papers in Seven Months: Albert Gu Explains the State Space Model RevolutionModeration: 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.Modelle & TrainingTransformers & attentionInference+3
1:42:17EN
Cognitive Revolution "How AI Changes Everything"· 20. Apr. 2024PodcastThe Cheapest Inference Provider Is the Most DangerousModeration: 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.Infrastruktur & DeploymentInferenceAI cost & performance+3
1:22:43EN
Cognitive Revolution "How AI Changes Everything"· 9. Jan. 2024PodcastFive billion minutes of calls: why Dialpad trained its own business LLMModeration: Nathan LabenzDan O’Connell on real-time speech, verticalizing the stack, and why he and Nathan Labenz disagree about when AI employees show up.Unternehmen & StrategieSprach-KIEnterprise-KI+3
52:48EN
Cognitive Revolution "How AI Changes Everything"· 25. Aug. 2023PodcastOpenAI Cut Fine-Tuning 90 Percent, and Founders Crossed Llama 2 Off the ListModeration: 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.Modelle & TrainingFine-TuningAI cost & performance+3
1:01:26EN
Cognitive Revolution "How AI Changes Everything"· 25. Juli 2023PodcastAlexNet Used Two GPUs. GPT-4 Took Twenty Thousand. The Shortage Will Be Back.Moderation: Nathan LabenzRun:ai CTO Ronen Dar on filling idle accelerators, why H100s can be cheaper per experiment, and why Llama 2 undercuts compute governance.Infrastruktur & DeploymentAI cost & performanceDistributed training & inference+3
1:20:49EN
Cognitive Revolution "How AI Changes Everything"· 25. Mai 2023PodcastA Wafer-Scale Chip So AI Stops Waiting on AmdahlModeration: 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.Infrastruktur & DeploymentInferenceAI cost & performance+3
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Lex Fridman· 9. Feb. 2020PodcastMoore’s Law Is Not Dead—It Is a Cascade of S-CurvesModeration: Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.Infrastruktur & DeploymentSemiconductorsScaling Laws+3
1:18:48EN
Lex FridmanPodcastData Movement, Not Math: How to Make Deep Learning Fit on Robots and PhonesModeration: 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.Infrastruktur & DeploymentInferenceAI cost & performance+3
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