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54:26EN
Cognitive Revolution "How AI Changes Everything"· Feb 22, 2026PodcastTen Billion Active Parameters, and the Unsexy Work of Making Them Agent-ReadyHost 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.
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Sequoia Capital· Feb 10, 2026PodcastA Single Training Environment Can Cost Millions. Prime Intellect Wants a GitHub for RLWill Brown and Johannes Hagemann argue that the eval suite you already use to test agents is one step away from a training set.
1:57:56ENCognitive Revolution "How AI Changes Everything"· Feb 5, 2026PodcastA Hundred Million Lines at Twenty Cents Each: Inside Blitzy's Enterprise Coding PipelineHost Nathan LabenzCEO Brian Elliott and CTO Sid Pardeshi tell Nathan Labenz how Blitzy turns a giant codebase into a map, then lets thousands of dynamically generated agents ship most of a multi-month project in days.
39:47ENSequoia Capital· Jan 21, 2026PodcastThe Context at Step 14 Isn't in the CodeLangChain cofounder Harrison Chase on why long-horizon agents finally work—and why traces, harnesses, and first-draft workflows matter more than scaffolding.
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Unsupervised Learning: With Jacob Effron· Dec 15, 2025PodcastA Two-Second Vote Is Training Models to Be ClickbaitHost Jacob EffronSurge AI CEO Edwin Chen tells Redpoint why LMArena rewards length and emojis, how one lab's models got worse for a year, and why frontier labs are no longer on the same path.
42:06ENUnsupervised Learning: With Jacob Effron· Dec 2, 2025PodcastAfter SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5Host Jacob EffronAnthropic’s head of product for research on computer use, deceptive token prices, thin harnesses, and why alignment makes a model a better thinker.
1:11:18ENCognitive Revolution "How AI Changes Everything"· Nov 12, 2025PodcastHe Got Bored Five Minutes Into a Waymo. Nathan Labenz Says That's the PointHost Nathan LabenzOn a crossover with the Existential Hope podcast, the Cognitive Revolution host argues that the scarcest resource in AI is a positive picture of daily life, not another doom scenario.
44:10ENSequoia Capital· Oct 21, 2025PodcastOne Model Talked Another Into Slack Off — Then Uninstalled Windows DefenderIrregular co-founder Dan Lahav tells Sequoia’s Training Data why frontier AI security has to be invented from scratch as models become autonomous economic actors.
1:53:50ENCognitive Revolution "How AI Changes Everything"· Oct 8, 2025PodcastA curriculum rewrite takes five years. AI does not wait.Host Nathan LabenzJohan Falk, a Swedish teacher-turned-analyst, argues that AI literacy and AI friends are more urgent than putting a tutor in every classroom.
1:37:25ENCognitive Revolution "How AI Changes Everything"· Oct 5, 2025PodcastFin Climbed From 35% to 65% Resolution. Intercom Says the Models Only Did a Few PointsHost Nathan LabenzEoghan McCabe and Fergal Reid on production A/B tests, 99-cent outcome pricing, and why GPT-4 was already smart enough for most customer service.
1:28:17ENCognitive Revolution "How AI Changes Everything"· Sep 20, 2025PodcastAdam Gleave's Three Capability Tiers: Attack Agents in 5–7 Years, Fully AI Companies Around Year 14Host Nathan LabenzFAR.AI and the UK AI Security Institute stacked adversarial attacks on frontier safeguard pipelines and found many breakthroughs were engineering failures, not a verdict against defense in depth.
42:20ENUnsupervised Learning: With Jacob Effron· Sep 17, 2025PodcastA Name Invented at 2:30 a.m. Put Gemini on Top of the App StoreHost Jacob EffronGoogle's Nicole Brichtova and Oliver Wang on Nano Banana, why image models got smart when language models did, and why a prompt still is not a finished product.
50:00ENSequoia Capital· Sep 2, 2025PodcastCrosby Bills by the Document, Not the Hour, and Turns Contracts Around in Under an HourThe founders of an AI-native law firm explain why they became lawyers with engineers at the next desk instead of shipping legal software, and how deal velocity became the product.
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No Priors: AI, Machine Learning, Tech, & Startups· Aug 21, 2025Podcast · 2 speakersHire the AI First: Andrew Ng on Agentic Workflows and the Scarcity of JudgmentHost Sarah Guo, Elad GilOn No Priors, Andrew Ng argues that agentic AI has made software cheap and fast, which moves the bottleneck to product judgment, error analysis, and the instinct to try an AI before adding headcount.
30:05ENSequoia Capital· Aug 19, 2025Podcast100 Signups, 95 Drop-offs: How Gamma Turned AI Slides Into a $50 Million BusinessGamma founder Jon Noronha tells Sequoia's Training Data how a park-bench idea, image models, and relentless A/B testing built a cash-flow-positive visual storytelling platform.
1:48:49ENCognitive Revolution "How AI Changes Everything"· Aug 16, 2025Podcast$500, 2,000 Steps, and a Vending Machine: Grok 4 Profited, Claude Called the FBIHost Nathan LabenzAndon Labs put frontier models in charge of simulated and real vending machines to see what breaks when nobody is in the loop.
30:11ENSequoia Capital· Jul 30, 2025PodcastFrom 12 Percent on AIME to IMO Gold in Two MonthsAlex Wei, Sheryl Hsu, and Noam Brown tell Sequoia's Sonya Huang how a three-person OpenAI sprint used general-purpose reinforcement learning, not Lean, to reach gold-level on the 2025 International Mathematical Olympiad.
1:02:54ENNo Priors: AI, Machine Learning, Tech, & Startups· Jul 17, 2025Podcast · 2 speakersEnterprise Coding Tools Flipped the 80/20. Reflection AI Built the Other HalfHost Sarah Guo, Elad GilFormer Gemini reward-model lead Misha Laskin on Asimov, why comprehension beats generation, and why there is no such thing as generalization—only pulling the test distribution into train.
38:10ENCognitive 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.
41:13ENSequoia Capital· Jul 11, 2025PodcastFrom 49 Multiplications to 48: DeepMind’s AI Rewrites a Fifty-Year Math RecordPushmeet Kohli explains how AlphaEvolve couples Gemini with evaluators to invent algorithms, prove old conjectures, and change which scientific problems are even worth attempting.
42:09ENNo Priors: AI, Machine Learning, Tech, & Startups· Jun 26, 2025Podcast · 2 speakersAlphaEvolve found algorithms humans missed for 50 years — then sped up Gemini 23%Host Sarah Guo, Elad GilGoogle DeepMind’s Pushmeet Kohli and Matej Balog tell No Priors how an evolutionary coding agent searches algorithm space the way AlphaGo searched Go.
54:53ENUnsupervised Learning: With Jacob Effron· Jun 17, 2025PodcastA Free Voting Board Burned $2 Million. Then It Raised $100 Million.Host 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.
44:21ENUnsupervised Learning: With Jacob Effron· Jun 4, 2025PodcastMercor's CEO: Knowledge Work's Next Job Is Writing EvalsHost Jacob EffronBrendan Foody tells Redpoint how Mercor turned AI hiring and expert data into a $100 million round — and why he thinks a huge slice of white-collar work will become creating tests for models.
38:25ENSequoia Capital· May 27, 2025PodcastA thousand airplanes will never train an AI engineerFormer Airbus CTO Paul Eremenko explains why physical-world engineering still has no coding-AI moment, and how P-1 AI's agent Archie is supposed to get there anyway.Load moreShowing 24 of 134