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58:11EN
Sequoia Capital· 15 avr. 2025PodcastPatrick Hsu Wants an App Store for Biology, Not Just Better DrugsThe Arc Institute co-founder argues that Evo 2, trained on genomes rather than proteins, should underpin tools for every step of the scientific method.Modèles et entraînementAI for sciencePretraining & midtraining+3
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Cognitive Revolution "How AI Changes Everything"· 10 avr. 2025PodcastFor under $10, Google's AI independently recovered a lab result nobody had publishedAnime : Nathan LabenzVivek Natarajan and Anil Palepu tell Nathan Labenz how AMIE beats primary-care doctors on treatment plans, and how Co-Scientist matched Imperial College's unpublished bacterial-resistance mechanism.AgentsAI in healthcareAI for science+3
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Cognitive Revolution "How AI Changes Everything"· 23 mars 2025PodcastA Year to Grow a Brain Organoid, an Hour to Simulate ItAnime : Nathan LabenzStanford postdoc Siyu He tells Nathan Labenz how Squidiff and CORAL move single-cell and spatial experiments into the computer — and where the models still cannot go.Modèles et entraînementAI for scienceComputational Biology+3
1:31:35EN
Cognitive Revolution "How AI Changes Everything"· 6 mars 2025PodcastThirty Years of Research, Collapsed into One SentenceAnime : Nathan LabenzImmunologist Derya Unutmaz on writing a medical patent in half an hour, treating o1 Pro as a professor-level collaborator, and why he no longer trusts his own expertise until he asks the model.AI for scienceAI in healthcareHuman-AI Collaboration+3
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No Priors: AI, Machine Learning, Tech, & Startups· 27 févr. 2025Podcast · 2 voixModerna was only company 18. The real product is the company factoryAnime : Sarah Guo, Elad GilNoubar Afeyan tells No Priors how Flagship Pioneering turned starting companies into a profession, underwrites scientific uncertainty, and wants AI to run discovery the way Waymo drives.Entreprise et stratégieCompany BuildingAI for science+3
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No Priors: AI, Machine Learning, Tech, & Startups· 25 févr. 2025Podcast · 2 voixA Hundred Million Cells, Four People, Three Days: Biology's ImageNet MomentAnime : 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.Modèles et entraînementAI for scienceData quality & curation+3
3 diapositives7:41EN
Matthew Berman· 21 févr. 2025Microsoft’s Majorana 1: The Quantum Computing Claim and Its LimitsMatthew Berman · Forward FutureMatthew Berman explains Microsoft’s proposed topological qubits and imagines future uses, while the published experiment supports narrower conclusions.Quantum MechanicsPhysicsAI for science
3 diapositives21:10EN
Matthew Berman· 11 févr. 2025Sam Altman’s 2025 AI Coding Forecast and Three ObservationsMatthew Berman, Sam Altman · Forward FutureMatthew Berman examines predictions about reasoning models, software agents and AI economics, distinguishing competitive-programming results from broader work.Agents de codeScaling LawsReinforcement Learning+2
Diapositives13:04EN
Matthew Berman· 4 févr. 2025Deep Research, AI Takeoff and the Limits of Early ReactionsMatthew Berman, Sam Altman · Forward FutureMatthew Berman surveys February 2025 reactions to OpenAI’s research agent and argues that reasoning and tools could accelerate AI progress.AI agentsAGI TimelinesBenchmarks+2
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Cognitive Revolution "How AI Changes Everything"· 22 janv. 2025PodcastTwenty-atom crystals taught an AI the physics of a heartbeatAnime : 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.Modèles et entraînementAI for scienceFondamentaux du ML+3
Diapositives15:06EN
Matthew Berman· 13 janv. 2025Jensen Huang on General Robotics, AI Workers and ScienceMatthew Berman, Jensen Huang · Forward FutureMatthew Berman reviews a No Priors interview with NVIDIA’s CEO, discussing robots in existing environments, AI agents and predictions about scientific research.RoboticsAI agentsFuture of Work+2
5 diapositives13:39EN
Matthew Berman· 27 déc. 2024Demis Hassabis on Digital Biology, AlphaFold and the Limits of Classical ComputingMatthew Berman, Demis Hassabis · Forward FutureMatthew Berman reviews Hassabis’s Nobel lecture on protein structure, AI-driven discovery and a speculative question about what classical learning algorithms can model.Computational BiologyAI for scienceDrug Discovery+2
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Cognitive Revolution "How AI Changes Everything"· 18 déc. 2024PodcastHumans Wrote 1.3 Percent of the Tokens. The AI Lab Still Designed Working Nanobodies.Anime : Nathan LabenzStanford's James Zou describes a GPT-4o research group that invented a protein-design pipeline for under $100 — and a sparse autoencoder that pulled an undocumented motif out of ESM-2.AgentsAgent orchestrationMulti-agent systems+3
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Cognitive Revolution "How AI Changes Everything"· 5 déc. 2024PodcastAI Beats Humans at Reading Papers. It Still Cannot Count Atoms.Anime : Nathan LabenzAndrew White, Head of Science at Future House, maps what language models can already do in chemistry and biology—and the bottlenecks they do not dissolve.AgentsAI for scienceGénération augmentée par récupération+3
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Matthew Berman· 18 nov. 2024A Withdrawn AI Research Study and Questions About Scientific DiscoveryMatthew Berman · Forward FutureA 2024 video cites an MIT-affiliated preprint that arXiv later withdrew; MIT says its findings should not be relied on.AI for scienceAI researchFuture of Work
39:22EN
No Priors: AI, Machine Learning, Tech, & Startups· 14 nov. 2024Podcast · 2 voixA Fields Medalist Stuck for Two Hours. AlphaProof Climbed for Three Days.Anime : Sarah Guo, Elad GilThe DeepMind team behind AlphaProof tells Sarah Guo and Elad Gil how an AlphaZero-style agent, a Lean verifier, and test-time reinforcement learning reached IMO silver — and why the missing skill is still theory building.AgentsReinforcement LearningReasoning & test-time compute+1
2 diapositives11:10EN
Matthew Berman· 13 nov. 2024AI and Scientific Discovery: A 2024 Video’s Withdrawn StudyMatthew Berman · Forward FutureMatthew Berman discusses AI-assisted research and recursive improvement; the central preprint was later withdrawn over serious data-validity concerns.AI for scienceAI researchAGI
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Cognitive Revolution "How AI Changes Everything"· 23 oct. 2024PodcastNine of the top ten research ideas were Claude'sAnime : Nathan LabenzStanford PhD student Chenglei Si ran a blind study pitting Claude 3.5 Sonnet against more than a hundred NLP researchers on novel research ideas.Évaluations et observabilitéÉvaluationsBenchmarks+3
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Sequoia Capital· 22 oct. 2024PodcastNeural Networks Are Still Waiting for Their ThermodynamicsOpenAI researcher Dan Roberts on why physicists keep migrating into AI, and why the field still lacks the equivalent of the ideal gas law.Modèles et entraînementAI researchScaling Laws+3
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Cognitive Revolution "How AI Changes Everything"· 12 oct. 2024PodcastAn AI Found a GABA-Cancer Link. The Next Step Is Talking to the Cells.Anime : 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· 24 sept. 2024PodcastHarmonic’s Bet: Teach AI Math Directly, and the Riemann Hypothesis Falls by 2029Robinhood’s Vlad Tenev and Harmonic co-founder Tudor Achim tell Sequoia why math is reasoning, why Lean is the verifier, and why they refuse to wait for mathematical skill to emerge from scale.Modèles et entraînementSynthetic dataReinforcement Learning+3
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Cognitive Revolution "How AI Changes Everything"· 20 sept. 2024PodcastA DNA Model That Can Tell Which Genes You Cannot TouchAnime : Nathan LabenzStanford's Brian Hie walks through hybrid architectures, a genome-scale language model trained only on DNA, and an antibody that binds 25 times tighter than nature.Modèles et entraînementAI for scienceComputational Biology+3
5 diapositives18:43EN
Matthew Berman· 22 août 2024Sakana AI's AI Scientist and the Prospect of Automated ResearchMatthew Berman · Forward FutureMatthew Berman explores a 2024 system for generating and evaluating machine-learning research, and argues that automation could eventually accelerate AI progress.AI for scienceAI researchAgents+2
4 diapositives18:39EN
Matthew Berman· 17 août 2024AI Scientist, Grok-2 and Agent Q: Matthew Berman’s August 2024 AI News RoundupMatthew Berman · Forward FutureA week of model releases, web agents and AI research raises questions about benchmarks, automation and the gap between prototypes and predictions.AI researchAI agentsAgents de code+2
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