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59:46EN
Jane Street· Mar 12, 2025In Young Cho on Trading Research and Finding Signal in Financial DataYaron Minsky, In Young Cho · Jane StreetIn Young Cho and Ron Minsky discuss the blurred lines between trading, research, and engineering, and why machine learning in markets is difficult.Machine LearningFintechSoftware engineering+2
32:46EN
Sequoia Capital· Feb 25, 2025PodcastDon't draw the flowchart: OpenAI's Deep Research team on training agents end to endIsa Fulford and Josh Tobin explain why Deep Research was trained with reinforcement learning on hard browsing tasks instead of a human-written graph of model calls.AgentsAgent engineeringReinforcement Learning+3
57:41EN
No Priors: AI, Machine Learning, Tech, & Startups· Feb 25, 2025Podcast · 2 speakersA Hundred Million Cells, Four People, Three Days: Biology's ImageNet MomentHost Sarah Guo, Elad GilVevo Therapeutics and the Arc Institute open-sourced Tahoe-100M and a 230-million-cell atlas in the same week — and argued that virtual cells, not just protein folders, are the next language model of biology.Models & trainingAI for scienceData quality & curation+3
1:40:22EN
Cognitive Revolution "How AI Changes Everything"· Jan 22, 2025PodcastTwenty-atom crystals taught an AI the physics of a heartbeatHost 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.Models & trainingAI for scienceML fundamentals+3
1:27:33EN
Cognitive Revolution "How AI Changes Everything"· Dec 3, 2024PodcastA 70B Model Booked Dinner 20% of the Time. MultiOn Took It to 95% in a DayHost Nathan LabenzMultiOn CEO Div Garg returns to The Cognitive Revolution to recap 18 months of agent hype, the AgentQ stack, and why 2025 might still be the year of vertical agents.AgentsAgent engineeringComputer use+3
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Cognitive Revolution "How AI Changes Everything"· Nov 21, 2024PodcastA Team of Fifteen Matched Meta’s Post-Training on Meta’s Own BaseHost 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.Models & trainingPost-trainingData quality & curation+3
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Unsupervised Learning: With Jacob Effron· Oct 29, 2024PodcastDeepL Beat Google at Translation by Refusing to Be a General ModelHost Jacob EffronOnly 18 percent of the world speaks English—and a Cologne startup turned that fact into a $2 billion language-AI company.Enterprise & strategyData quality & curationEvals+3
1:13:23EN
Cognitive Revolution "How AI Changes Everything"· Oct 12, 2024PodcastAn AI Found a GABA-Cancer Link. The Next Step Is Talking to the Cells.Host Nathan LabenzMichael Levin and Leo Pio Lopez on a multilayer embedding that predicted melanoma, a cancer with no mutations, and why biology's real interface is cognitive.AI for scienceComputational BiologyAI research+3
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Sequoia Capital· Oct 8, 2024PodcastGPT-4 Gets Half Your Data Questions Wrong. Snowflake's Answer Is Systems DesignUsing an off-the-shelf model on enterprise data yields about 45% reliability—one wrong answer out of every two.Enterprise & strategyEnterprise AIAI Strategy+3
5 slides19:38EN
Matthew Berman· Sep 9, 2024Reflection 70B: Conflicting Results and Unanswered QuestionsMatthew Berman · Forward FutureMatthew Berman reviews his early coverage, independent evaluations and competing claims about the September 2024 release.BenchmarksOpen-weight modelsEvals+2
2 slides35:30EN
Matthew Berman· Sep 6, 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.Models & trainingData quality & curationEvals+2
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Matthew Berman· Aug 28, 2024Linus Torvalds and Dirk Hohndel on AI Coding, Bugs and HypeMatthew Berman, Linus Torvalds, Dirk Hohndel · Forward FutureMatthew Berman reacts to two conversations about AI-assisted programming, code review, automation and open data.Coding agentsSoftware engineeringOpen Source+2
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Sequoia Capital· Aug 20, 2024PodcastThe 40% data-center save started with an email that ended in a question markPhaidra founder Jim Gao tells Sequoia how an AlphaGo-inspired bet at Google became reinforcement learning that runs billion-dollar plants.Infrastructure & deploymentReinforcement LearningData quality & curation+3
1:16:11EN
Cognitive Revolution "How AI Changes Everything"· Jul 11, 2024PodcastScooping Food Into Boxes Is 70 Percent of Plant LaborHost Nathan LabenzChef Robotics CEO Rajat Bhageria on 20 million plated meals, a foundation model for food, and why the kitchen may leave the house.RoboticsData quality & curationLocal inference+3
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Sequoia Capital· Jul 9, 2024PodcastScaling Laws Aren't Done. Don't Lock Yourself Into Yesterday's Architecture.Microsoft CTO Kevin Scott on why the exponential is still compounding, why inference will dwarf training, and why a language model is the world's crappiest database.Enterprise & strategyScaling LawsInference+3
1:06:04EN
20VC with Harry Stebbings· Jun 12, 2024Podcast · 2 speakersAlexandr Wang on AI Data, Model Development and Building ScaleGuest Alexandr Wang · Host Harry StebbingsScale’s founder discusses his data-bottleneck thesis, enterprise adoption, AI security and the challenges of growing a team.Data quality & curationModels & trainingAI Strategy+2
39:00EN
No Priors: AI, Machine Learning, Tech, & Startups· May 22, 2024Podcast · 2 speakersJPMorgan Has 150 Petabytes. GPT-4 Trained on Less Than One.Host Sarah Guo, Elad GilScale AI founder Alexandr Wang tells No Priors why easy internet data is exhausted, why expert-plus-model teams still win, and why the path to AGI looks more like curing cancer than inventing a vaccine.Infrastructure & deploymentData quality & curationPost-training+3
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Cognitive Revolution "How AI Changes Everything"· Apr 13, 2024PodcastGPT-5 Wants 100 Trillion Tokens. Does Earth Have Enough?Host Nathan LabenzTraining GPT-3 took about a trillion tokens; GPT-4 took about ten trillion. The next jump is a data question as much as a compute one.Models & trainingScaling LawsSynthetic data+3
38:48EN
No Priors: AI, Machine Learning, Tech, & Startups· Jan 31, 2024Podcast · 2 speakersShopify Built a Copilot, Not an Autopilot, for Every MerchantHost Sarah Guo, Elad GilShopify VP of Core Product Glen Coates on collapsing duplicate engines, shipping AI that proposes but never commits, and teaching storefront search to understand a sweater.Product & UXAI Product ManagementProduct Strategy+3
40:58EN
No Priors: AI, Machine Learning, Tech, & Startups· Jan 25, 2024Podcast · 2 speakers99% of Factory Robots Are Dumb. Covariant Wants the Smart Ones Working in Warehouses FirstHost Sarah Guo, Elad GilFormer OpenAI researcher Peter Chen explains why robot foundation models have to be trained on production floors, not in labs.Models & trainingRoboticsFoundation Models+3
5 slides19:37EN
Matthew Berman· Dec 13, 2023How Rephrased Test Data Inflated a 13B Model’s Benchmark ScoresMatthew Berman · Forward FutureMatthew Berman examines a 2023 experiment showing how reworded benchmark questions can evade simple contamination checks and inflate model scores.BenchmarksEvalsData quality & curation+2
27:14EN
No Priors: AI, Machine Learning, Tech, & Startups· Dec 7, 2023Podcast · 2 speakersSeven People Did the Work of 700. Salesforce's AI Chief Says Enterprise AI Is Still in the Second InningHost Sarah Guo, Elad GilClara Shih tells Sarah Guo and Elad Gil why Salesforce built a shared LLM platform, why data cleanup beats model shopping, and why AI is becoming the enterprise UI.Enterprise & strategyEnterprise AIAI Strategy+3
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Cognitive Revolution "How AI Changes Everything"· Nov 14, 2023PodcastA 16K Context Window Holds About 350 Rows. That's Why Tables Need an Agent.Host Nathan LabenzGretel AI founder Alex Watson tells Nathan Labenz why most company data is still a spreadsheet, why GPT-4 is the wrong tool for generating it, and how differential privacy lets a model learn a disease without learning a patient.Models & trainingSynthetic dataData quality & curation+3
1:32:40EN
Cognitive Revolution "How AI Changes Everything"· Oct 31, 2023PodcastThe Historian Who Taught GPT-3.5 to Beat GPT-4Host Nathan LabenzMark Humphries on a kilometer of unread paper, fur-trade jargon that embeddings cannot see, and why cheap processing will force history to be rewritten.RAG & knowledgeRetrieval-augmented generationFine-tuning+3
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