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20 slides40:44EN
3Blue1Brown· Oct 16, 2026Grant Sanderson: There's never been a better time to go into mathGrant Sanderson, Constantin Kogler · 3Blue1BrownStudents fear AI has solved mathematics. Grant Sanderson argues the opposite: even if machines prove theorems better than we do, the institution of math stays valuable—and this is a rare moment when newcomers can reshape it.MathematicsAI for scienceHuman-AI Collaboration+2
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No Priors: AI, Machine Learning, Tech, & Startups· Oct 15, 2026Podcast · 2 speakersThe Defenders' Window: Greg Brockman on AI-Generated Knowledge, Drug Discovery, and the New Physics of CybersecurityHost Sarah Guo, Elad GilOpenAI's president explains why solving open math problems is a proof point for science, how proactive agents change product form, and why security spending must exceed software spending.Security & safetyAI securitySafety & governance+3
5 slides38:10EN
Google DeepMind· Oct 1, 2026From deepfakes to DNA: how SynthID watermarks AIHannah Fry, Pushmeet Kohli, Jeremy Ratcliffe · Google DeepMindHannah Fry sits down with Pushmeet Kohli and Jeremy Ratcliffe to explain SynthID: a mathematical watermark now used on text, images and video, and being extended to protein sequences so DNA synthesis companies can tell AI-designed molecules from nature.BiosecurityComputational BiologyGenerative media+2
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Sequoia Capital· Aug 4, 2026PodcastFrom One in a Thousand to 15 Percent: Chai Discovery Treats Drug Design as a Scaling ProblemJoshua Meier and Matthew McPartlon tell Sequoia’s Training Data why antibody design is an engineering problem, not a bespoke science, and why they sell a molecular CAD suite instead of their own drugs.Models & trainingAI for scienceScaling Laws+3
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No Priors: AI, Machine Learning, Tech, & Startups· Apr 3, 2026Podcast · 2 speakersChatGPT Almost Became a Meeting Bot. Its Co-Creator Is Now Rearranging AtomsHost Sarah Guo, Elad GilLiam Fedus tells No Priors how Periodic Labs is connecting language models to experiments so materials science can run in a closed loop.Enterprise & strategyAI for scienceCompany Building+3
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Sequoia Capital· Mar 24, 2026PodcastEven a dumber AI can win science if it never leaves the labGinkgo Bioworks CEO Jason Kelly tells Sequoia why autonomous labs, not smarter models, will change how experimental science gets done.AgentsAI for scienceAgent engineering+3
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Cognitive Revolution "How AI Changes Everything"· Mar 11, 2026PodcastFive Mutations Could Make a 60% Fatal Bird Flu Spread Between PeopleHost Nathan LabenzJohns Hopkins assistant professor Jassi Pannu argues for locking down only the sliver of functional data that teaches models how to make pandemic viruses — and keeping the rest of biology open.Security & safetySafety & governanceAI security+3
2:25:42EN
Cognitive Revolution "How AI Changes Everything"· Feb 14, 2026PodcastThe experts argued through the coffee break — and never agreed whether AI can build AIHost Nathan LabenzOn a marathon Cognitive Revolution live show, a cancer-AI researcher, a former OpenAI board member, and a national-security analyst each hit a different wall in the boom.Security & safetySafety & governanceAGI+3
1:34:42EN
Cognitive Revolution "How AI Changes Everything"· Feb 13, 2026PodcastA $500 Kernel, a Ten-Month Village, and the Temper of AgentsHost Nathan LabenzJames Zou, Sam Hammond, and Shoshannah Tekofsky on science agents, America's knowledge-work bet, and what models actually do when you leave them alone.AgentsAgent engineeringMulti-agent systems+3
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Cognitive Revolution "How AI Changes Everything"· Feb 1, 2026Podcast125 million cells took a decade. The next billion takes monthsHost Nathan LabenzMark Zuckerberg and Priscilla Chan on pairing a frontier biology lab with a frontier AI lab so models train on data that was designed for them.Models & trainingAI for scienceData quality & curation+3
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No Priors: AI, Machine Learning, Tech, & Startups· Nov 13, 2025Podcast · 2 speakersA New Drug Burns $2 Billion and 10 Years. Benchling's CEO Wants AI to Cut That to ThreeHost Sarah Guo, Elad GilMost medicines fail in years seven to ten, after hundreds of millions have already gone into the clinic—and Sajith Wickramasekara thinks sending things to space may already be easier.AgentsAI for scienceAI in healthcare+3
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Cognitive Revolution "How AI Changes Everything"· Oct 14, 2025Podcast2,500 Compounds and a 51 Percent Hit Rate: How a Small Graph Net Found New AntibioticsHost Nathan LabenzMIT's Jim Collins tells Nathan Labenz how a bootlegged 2018 project, a binary growth-inhibition label, and Chemprop graph networks pulled novel antibiotics out of chemical space that labs could never screen by hand.Models & trainingAI for scienceDrug Discovery+3
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Cognitive Revolution "How AI Changes Everything"· Oct 2, 2025PodcastChatGPT's Co-Creator Left to Put Nature in the Reward LoopHost Nathan LabenzLiam Fedus and Ekin Dogus Cubuk on why language models still fail at physics, why literature data is too noisy to train on, and why Periodic Labs is aiming at a 200K superconductor.Models & trainingAI for scienceReinforcement Learning+3
1:55:02EN
Cognitive Revolution "How AI Changes Everything"· Aug 30, 2025PodcastA hundred experiments a day, and the valley of death in materialsHost Nathan LabenzRadical AI’s co-founders tell Nathan Labenz how a closed loop of frontier models and a self-driving lab is meant to collapse a forty-year materials cycle into less than a decade.AgentsAI for scienceAutonomous Systems+3
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3Blue1Brown· Aug 17, 2025How AlphaGeometry Combines Logical Proof with Creative ConstructionAleph0Aleph0 explains how a symbolic geometry solver gets surprisingly far without AI, and how a language model supplies the auxiliary constructions that take it to Olympiad level.MathematicsReasoning & test-time computeAI research+2
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Unsupervised Learning: With Jacob Effron· Aug 13, 2025PodcastThey Aimed for 1%. The Lab Hit 20%. Chai Discovery Moved Antibody Design Onto the Computer.Host Jacob EffronJoshua Meier on three waves of AI drug discovery, why Chai-2 behaves like Photoshop for molecules, and why a 1% hit rate was supposed to be enough to change the industry.Models & trainingAI for scienceComputational Biology+3
2:28:14EN
Lex Fridman· Jul 23, 2025Podcast · 2 speakersNature Has Structure: Demis Hassabis on Learnable Reality and AGIGuest Demis Hassabis · Host Lex FridmanThe Google DeepMind CEO argues that evolution-shaped systems can be modeled by classical learning, and that interactive world models sit on the path to AGI.Enterprise & strategyWorld modelsAGI+3
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Sequoia 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.AgentsAI for scienceMulti-agent systems+3
49:27EN
No Priors: AI, Machine Learning, Tech, & Startups· Jul 3, 2025Podcast · 2 speakersFrom 0.1% to 20%: Chai-2 Turns Antibody Design Into Prompt EngineeringHost Sarah Guo, Elad GilChai Discovery co-founders Joshua Meier and Jack Dent tell Sarah Guo how a generative model now designs antibodies that bind on the first 24-well plate.AI for scienceDrug DiscoveryAI startups & small teams+3
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No 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.Coding agentsAgent engineeringEvals+3
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Lex Fridman· Jun 14, 2025Podcast · 2 speakersIf ten things make a problem hard, Terence Tao turns nine of them offGuest Terence Tao · Host Lex FridmanThe Fields Medalist walks Lex Fridman from the Kakeya needle and Navier-Stokes through Lean, Perelman, and why today's AI still cannot smell a dead-end proof.MathematicsAI for scienceAI research+3
1:12:29EN
Cognitive Revolution "How AI Changes Everything"· Jun 4, 2025PodcastGoogle's AI Co-Scientist Solved a Phage Puzzle Humans Missed for YearsHost Nathan LabenzImperial College scientists José Penadés and Tiago Costa told the Podovirus podcast how a still-unreleased Google system recovered their unpublished answer: tailless capsids that pick up stray phage tails.AgentsAI for scienceAI research+3
55:40EN
Sequoia Capital· Apr 29, 2025PodcastTo Solve All Diseases, Isomorphic Labs Needs a Half-Dozen AlphaFoldsMax Jaderberg on turning DeepMind's game-playing research into a general AI engine for drug design—and why prediction alone cannot search a 10^60 molecular universe.Enterprise & strategyAI for scienceSynthetic data+3
40:54EN
No Priors: AI, Machine Learning, Tech, & Startups· Apr 17, 2025Podcast · 2 speakersDiscovery rates collapsed tenfold. KoBold still found a 5% copper depositHost Sarah Guo, Elad GilJosh Goldman explains why KoBold Metals treats mineral exploration as an information problem, pairing AI with century-old maps to hunt lithium and copper.Enterprise & strategyAI for scienceData quality & curation+3
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