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Announced Gemini Robotics 2 in July 2026, the first of its models to drive whole humanoid bodies.", "known_for": [ "Gemini Robotics" ], "roles": [ { "org": "google-deepmind", "title": "VP and head of robotics", "camp": "robot", "from": null, "to": null, "sources": [ { "url": "https://deepmind.google/blog/gemini-robotics-2-brings-whole-body-intelligence-to-robots/", "date": "2026-07-15", "title": "Gemini Robotics 2 brings whole body intelligence to robots", "publisher": "Google DeepMind" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "cengiz-pehlevan", "name": "Cengiz Pehlevan", "kind": "researcher", "featured": false, "roles": [ { "org_name": "Harvard University", "title": "Associate professor", "camp": "llm", "sources": [ { "url": "https://arxiv.org/abs/2411.04330", "date": "2024-11-07", "title": "Scaling Laws for Precision", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@cengiz-pehlevan", "date": "2026-09-05", "title": "Cengiz Pehlevan on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "Scaling Laws for Precision (2024)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@cengiz-pehlevan" }, "sources": [ { "url": "https://www.alphaxiv.org/@cengiz-pehlevan", "date": "2026-09-05", "title": "Cengiz Pehlevan on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "chelsea-finn", "name": "Chelsea Finn", "kind": "researcher", "wikipedia": "Chelsea_Finn", "bio": "Stanford professor; invented model-agnostic meta-learning (MAML) and co-founded Physical Intelligence.", "known_for": [ "MAML", "Physical Intelligence" ], "roles": [ { "org": "physical-intelligence", "title": "Co-founder", "camp": "robot", "from": "2024", "to": null, "sources": [ { "url": "https://www.bloomberg.com/news/articles/2025-11-20/robotics-startup-physical-intelligence-valued-at-5-6-billion-in-new-funding", "date": "2025-11-20", "title": "Robotics startup Physical Intelligence valued at $5.6 billion in new funding", "publisher": "Bloomberg" } ] }, { "org_name": "Stanford University", "title": "Professor", "camp": "robot", "from": null, "to": null, "sources": [ { "url": "https://www.bloomberg.com/news/articles/2025-11-20/robotics-startup-physical-intelligence-valued-at-5-6-billion-in-new-funding", "date": "2025-11-20", "title": "Robotics startup Physical Intelligence valued at $5.6 billion in new funding", "publisher": "Bloomberg" } ] } ], "image": "assets/people/chelsea-finn.jpg", "sources": [], "image_license": { "file": "Chelsea_Finn_and_Vestri_the_robot,_UC_Berkeley.jpg", "license": "CC BY 3.0", "license_url": "https://creativecommons.org/licenses/by/3.0", "author": "UC Berkeley", "credit": "Vestri the robot imagines how to perform tasks", "source_url": "https://commons.wikimedia.org/wiki/File:Chelsea_Finn_and_Vestri_the_robot,_UC_Berkeley.jpg", "fetched": "2026-09-04" } }, { "slug": "chris-eliasmith", "name": "Chris Eliasmith", "kind": "researcher", "featured": false, "roles": [ { "org_name": "University of Waterloo and Applied Brain Research", "title": "Professor; CTO", "camp": "alt", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/2511.08747", "date": "2025-11-11", "title": "Vector Symbolic Algebras for the Abstraction and Reasoning Corpus", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@chris-eliasmith", "date": "2026-09-05", "title": "Chris Eliasmith on alphaXiv", "publisher": "alphaXiv" } ] } ], "known_for": [ "Vector Symbolic Algebras for the Abstraction and Reasoning Corpus (2025)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@chris-eliasmith" }, "sources": [ { "url": "https://www.alphaxiv.org/@chris-eliasmith", "date": "2026-09-05", "title": "Chris Eliasmith on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "chris-olah", "name": "Chris Olah", "kind": "researcher", "wikipedia": "Chris_Olah", "bio": "Anthropic co-founder and the leading figure in mechanistic interpretability, the effort to read what is happening inside a trained network. Interpretability is the safety layer inside camp 1.", "known_for": [ "Mechanistic interpretability", "Distill" ], "roles": [ { "org": "anthropic", "title": "Co-founder; interpretability lead", "camp": "llm", "from": "2021-01", "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Chris_Olah", "date": "2026-09-04", "title": "Chris Olah", "publisher": "Wikipedia" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "christopher-manning", "name": "Christopher Manning", "kind": "researcher", "wikipedia": "Christopher_D._Manning", "bio": "Stanford professor and a founder of neural natural-language processing (GloVe, the Stanford NLP course). A long-standing voice for the view that language models learn meaning from text.", "known_for": [ "GloVe", "Stanford NLP" ], "roles": [ { "org_name": "Stanford University", "title": "Professor; director, Stanford AI Lab", "camp": "llm", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Christopher_D._Manning", "date": "2026-09-05", "title": "Christopher D. Manning", "publisher": "Wikipedia" } ] } ], "image": "assets/people/christopher-manning.jpg", "sources": [], "argues_for": { "camp": "llm", "summary": "Language models do learn meaning from text, but their knowledge is incomplete and needs other senses and knowledge added; scale by itself is not his position.", "sources": [ { "url": "https://www.amacad.org/publication/daedalus/human-language-understanding-reasoning", "date": "2022-04-13", "title": "Human Language Understanding & Reasoning", "publisher": "Daedalus" } ] }, "image_license": { "file": "SD_2025_-_Christopher_Manning_04_(cropped).jpg", "license": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0", "author": "Xuthoria", "credit": "Own work", "source_url": "https://commons.wikimedia.org/wiki/File:SD_2025_-_Christopher_Manning_04_(cropped).jpg", "fetched": "2026-09-05" } }, { "slug": "christopher-re", "name": "Christopher Ré", "kind": "researcher", "wikipedia": "Christopher_Ré", "bio": "Stanford professor and MacArthur fellow whose lab produced FlashAttention, the state-space model line that became Mamba, and the data-centric tooling behind Snorkel. Co-founded Together AI. Sits inside camp 1 by employer and product, but his group is where the alternatives to attention keep being built.", "known_for": [ "FlashAttention", "State-space models (S4)", "Snorkel", "Together AI" ], "roles": [ { "org_name": "Stanford University", "title": "Professor", "camp": "llm", "sources": [ { "url": "https://arxiv.org/abs/2411.04330", "date": "2024-11-07", "title": "Scaling Laws for Precision", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@christopher-re", "date": "2026-09-05", "title": "Christopher Ré on alphaXiv", "publisher": "alphaXiv" }, { "url": "https://en.wikipedia.org/wiki/Christopher_Ré", "date": "2026-09-05", "title": "Christopher Ré", "publisher": "Wikipedia" } ], "to": null, "from": null } ], "links": { "alphaxiv": "https://www.alphaxiv.org/@christopher-re" }, "image": "assets/people/christopher-re.jpg", "sources": [ { "url": "https://en.wikipedia.org/wiki/Christopher_Ré", "date": "2026-09-05", "title": "Christopher Ré", "publisher": "Wikipedia" }, { "url": "https://www.alphaxiv.org/@christopher-re", "date": "2026-09-05", "title": "Christopher Ré on alphaXiv", "publisher": "alphaXiv" } ], "image_license": { "file": "160906-N-PO203-244_(29394494722).jpg", "license": "CC BY 2.0", "license_url": "https://creativecommons.org/licenses/by/2.0", "author": "Office of Naval Research from Arlington, United States", "credit": "160906-N-PO203-244", "source_url": "https://commons.wikimedia.org/wiki/File:160906-N-PO203-244_(29394494722).jpg", "fetched": "2026-09-05" } }, { "slug": "chuang-gan", "name": "Chuang Gan", "kind": "researcher", "featured": false, "roles": [ { "org_name": "UMass Amherst and MIT-IBM Watson AI Lab", "title": "Assistant professor", "camp": "wm", "sources": [ { "url": "https://arxiv.org/abs/2503.18938", "date": "2025-03-24", "title": "AdaWorld: Learning Adaptable World Models with Latent Actions", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@chuang-gan", "date": "2026-09-05", "title": "Chuang Gan on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "AdaWorld: Learning Adaptable World Models with Latent Actions (2025)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@chuang-gan" }, "sources": [ { "url": "https://www.alphaxiv.org/@chuang-gan", "date": "2026-09-05", "title": "Chuang Gan on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "dan-alistarh", "name": "Dan Alistarh", "kind": "researcher", "featured": false, "roles": [ { "org_name": "ISTA and Neural Magic", "title": "Professor", "camp": "llm", "sources": [ { "url": "https://arxiv.org/abs/2602.07712", "date": "2026-02-07", "title": "Towards Robust Scaling Laws for Optimizers", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@dan-alistarh", "date": "2026-09-05", "title": "Dan Alistarh on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "Towards Robust Scaling Laws for Optimizers (2026)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@dan-alistarh" }, "sources": [ { "url": "https://www.alphaxiv.org/@dan-alistarh", "date": "2026-09-05", "title": "Dan Alistarh on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "daniel-y-fu", "name": "Daniel Y. Fu", "kind": "researcher", "featured": false, "roles": [ { "org_name": "UC San Diego and Together AI", "title": "Assistant professor; VP kernels", "camp": "llm", "sources": [ { "url": "https://arxiv.org/abs/2604.12946", "date": "2026-04-14", "title": "Parcae: Scaling Laws For Stable Looped Language Models", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@daniel-y-fu", "date": "2026-09-05", "title": "Daniel Y. Fu on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "Parcae: Scaling Laws For Stable Looped Language Models (2026)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@daniel-y-fu" }, "sources": [ { "url": "https://www.alphaxiv.org/@daniel-y-fu", "date": "2026-09-05", "title": "Daniel Y. Fu on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "daniela-rus", "name": "Daniela Rus", "kind": "researcher", "wikipedia": "Daniela_Rus", "bio": "Director of MIT CSAIL and co-founder of Liquid AI; a leading roboticist who argues for compact, interpretable models over giant ones.", "known_for": [ "MIT CSAIL", "Liquid AI" ], "roles": [ { "org": "liquid-ai", "title": "Co-founder", "camp": "alt", "from": "2023", "to": null, "sources": [ { "url": "https://techfundingnews.com/liquid-ai-closes-250m-hits-2b-valuation-with-amd-led-funding/", "date": "2024-12-13", "title": "Liquid AI closes $250M, hits $2B valuation with AMD-led funding", "publisher": "Tech Funding News" } ] }, { "org_name": "MIT CSAIL", "title": "Director", "camp": "robot", "from": null, "to": null, "sources": [ { "url": "https://techfundingnews.com/liquid-ai-closes-250m-hits-2b-valuation-with-amd-led-funding/", "date": "2024-12-13", "title": "Liquid AI closes $250M, hits $2B valuation with AMD-led funding", "publisher": "Tech Funding News" } ] } ], "image": "assets/people/daniela-rus.jpg", "sources": [], "image_license": { "file": "UN_AI_for_Good_Summit_2025_-_Daniela_Rus_01_(cropped)_2.jpg", "license": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0", "author": "Xuthoria", "credit": "Own work", "source_url": "https://commons.wikimedia.org/wiki/File:UN_AI_for_Good_Summit_2025_-_Daniela_Rus_01_(cropped)_2.jpg", "fetched": "2026-09-04" } }, { "slug": "danijar-hafner", "name": "Danijar Hafner", "kind": "researcher", "wikipedia": null, "bio": "Author of the Dreamer series of model-based reinforcement-learning agents, which learn a latent world model and plan inside it. About ten years at Google, latterly as a staff research scientist at Google DeepMind, which his own site still lists. The Information reported in March 2026 that he and Wilson Yan are raising a $100M-plus seed for Embo, a robotics world-model startup; that is marked as reported, not confirmed.", "known_for": [ "Dreamer (V1 to V4)", "PlaNet", "DayDreamer" ], "roles": [ { "org_name": "Embo", "title": "Co-founder (reported)", "camp": "wm", "from": "2026-03", "to": null, "contested": true, "sources": [ { "url": "https://www.theinformation.com/briefings/exclusive-ex-google-deepmind-researchers-raising-100-million-build-world-models", "date": "2026-03-04", "title": "Exclusive: Ex-Google DeepMind Researchers Raising $100 Million to Build 'World Models'", "publisher": "The Information" }, { "url": "https://x.com/KevKubernetes/status/2029306254963949702", "date": "2026-03-04", "title": "Kevin McLaughlin: Danijar Hafner and Wilson Yan are raising $100 million+ for their new startup Embo", "publisher": "X" } ] }, { "org": "google-deepmind", "title": "Staff research scientist (Dreamer)", "camp": "wm", "from": "2023", "to": null, "sources": [ { "url": "https://danijar.com/", "date": "2026-09-04", "title": "Danijar Hafner, personal site" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "dario-amodei", "name": "Dario Amodei", "kind": "researcher", "wikipedia": "Dario_Amodei", "bio": "Co-founded Anthropic in 2021 after leading research at OpenAI. Argues that scaling continues to work and that the safety work has to scale with it.", "known_for": [ "Claude", "Responsible Scaling Policy" ], "roles": [ { "org": "anthropic", "title": "CEO and co-founder", "camp": "llm", "from": "2021-01", "to": null, "sources": [ { "url": "https://techcrunch.com/2026/06/01/anthropic-files-to-go-public/", "date": "2026-06-01", "title": "Anthropic files to go public", "publisher": "TechCrunch" } ] } ], "image": "assets/people/dario-amodei.jpg", "sources": [], "image_license": { "file": "Dario_Amodei_at_TechCrunch_Disrupt_2023_01_(cropped).jpg", "license": "CC BY 2.0", "license_url": "https://creativecommons.org/licenses/by/2.0", "author": "TechCrunch", "credit": "https://www.flickr.com/photos/techcrunch/53202070940/", "source_url": "https://commons.wikimedia.org/wiki/File:Dario_Amodei_at_TechCrunch_Disrupt_2023_01_(cropped).jpg", "fetched": "2026-09-04" } }, { "slug": "david-a-muller", "name": "David A. Muller", "kind": "researcher", "featured": false, "roles": [ { "org_name": "Cornell University", "title": "Professor; director, electron microscopy facility", "camp": "phys", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/2412.20358", "date": "2024-12-29", "title": "Emittance Minimization for Aberration Correction I: Aberration correction of an electron microscope without knowing the aberration coefficients", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@david-a-muller", "date": "2026-09-05", "title": "David A. Muller on alphaXiv", "publisher": "alphaXiv" } ] } ], "known_for": [ "Emittance Minimization for Aberration Correction I: Aberration correction of an electron microscope without knowing the aberration coefficients (2024)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@david-a-muller" }, "sources": [ { "url": "https://www.alphaxiv.org/@david-a-muller", "date": "2026-09-05", "title": "David A. Muller on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "david-abel", "name": "David Abel", "kind": "researcher", "featured": false, "roles": [ { "org_name": "Google DeepMind", "title": "Research scientist", "camp": "rl", "sources": [ { "url": "https://arxiv.org/abs/2307.11046", "date": "2023-07-20", "title": "A Definition of Continual Reinforcement Learning", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@david-abel", "date": "2026-09-05", "title": "David Abel on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "A Definition of Continual Reinforcement Learning (2023)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@david-abel" }, "sources": [ { "url": "https://www.alphaxiv.org/@david-abel", "date": "2026-09-05", "title": "David Abel on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "david-grangier", "name": "David Grangier", "kind": "researcher", "featured": false, "roles": [ { "org_name": "Apple", "title": "Machine learning researcher", "camp": "llm", "sources": [ { "url": "https://arxiv.org/abs/2507.09404", "date": "2025-07-12", "title": "Scaling Laws for Optimal Data Mixtures", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@david-grangier", "date": "2026-09-05", "title": "David Grangier on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "Scaling Laws for Optimal Data Mixtures (2025)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@david-grangier" }, "sources": [ { "url": "https://www.alphaxiv.org/@david-grangier", "date": "2026-09-05", "title": "David Grangier on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "david-ha", "name": "David Ha", "kind": "researcher", "wikipedia": "David_Ha", "bio": "Co-founded Sakana AI in Tokyo in 2023 after Google Brain. Sakana evolves and merges models rather than scaling one, and its AI Scientist runs research loops end to end.", "known_for": [ "World Models (2018)", "Sakana AI" ], "roles": [ { "org": "sakana-ai", "title": "Co-founder and CEO", "camp": "alt", "from": "2023-07", "to": null, "sources": [ { "url": "https://finance.yahoo.com/news/sakana-ai-raises-135m-series-115207368.html", "date": "2025-11-17", "title": "Sakana AI raises $135M Series B at a $2.65B valuation", "publisher": "TechCrunch via Yahoo Finance" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "david-luan", "name": "David Luan", "kind": "researcher", "wikipedia": null, "bio": "Co-founded Adept, then ran Amazon's AGI lab and its Nova Act agents from December 2024 until leaving in February 2026.", "known_for": [ "Adept", "Amazon AGI Lab" ], "roles": [ { "org": "amazon-agi-lab", "title": "Head of Amazon AGI Lab", "camp": "llm", "from": "2024-12", "to": "2026-02", "sources": [ { "url": "https://www.cnbc.com/2026/02/24/head-of-amazons-agi-lab-is-leaving-the-company.html", "date": "2026-02-24", "title": "https://www.cnbc.com/2026/02/24/head-of-amazons-agi-lab-is-leaving-the-company.html", "publisher": "CNBC" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "david-silver", "name": "David Silver", "kind": "researcher", "wikipedia": "David_Silver_(computer_scientist)", "bio": "Led DeepMind's reinforcement-learning group from 2013, building AlphaGo and AlphaZero, and co-wrote the 2025 essay 'Welcome to the Era of Experience' with Sutton. Left in January 2026 and founded Ineffable Intelligence, which raised $1.1B in April.", "known_for": [ "AlphaGo", "AlphaZero", "Welcome to the Era of Experience (2025)" ], "roles": [ { "org": "ineffable-intelligence", "title": "Founder", "camp": "rl", "from": "2026-01", "to": null, "sources": [ { "url": "https://techcrunch.com/2026/04/27/deepminds-david-silver-just-raised-1-1b-to-build-an-ai-that-learns-without-human-data/", "date": "2026-04-27", "title": "DeepMind's David Silver just raised $1.1B to build an AI that learns without human data", "publisher": "TechCrunch" } ] }, { "org": "google-deepmind", "title": "VP of reinforcement learning", "camp": "rl", "from": "2013", "to": "2026-01", "sources": [ { "url": "https://techcrunch.com/2026/04/27/deepminds-david-silver-just-raised-1-1b-to-build-an-ai-that-learns-without-human-data/", "date": "2026-04-27", "title": "DeepMind's David Silver just raised $1.1B to build an AI that learns without human data", "publisher": "TechCrunch" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "davide-bacciu", "name": "Davide Bacciu", "kind": "researcher", "featured": false, "roles": [ { "org_name": "University of Pisa", "title": "Professor", "camp": "rl", "sources": [ { "url": "https://arxiv.org/abs/2608.13600", "date": "2026-08-03", "title": "Continual Evolution Strategies in Control Tasks", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@davide-bacciu", "date": "2026-09-05", "title": "Davide Bacciu on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "Continual Evolution Strategies in Control Tasks (2026)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@davide-bacciu" }, "sources": [ { "url": "https://www.alphaxiv.org/@davide-bacciu", "date": "2026-09-05", "title": "Davide Bacciu on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "daxin-jiang", "name": "Daxin Jiang", "kind": "researcher", "featured": false, "roles": [ { "org_name": "StepFun", "title": "Co-founder and CEO", "camp": "llm", "sources": [ { "url": "https://arxiv.org/abs/2503.04715", "date": "2025-03-06", "title": "Predictable Scale: Part I, Step Law", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@daxin-jiang", "date": "2026-09-05", "title": "Daxin Jiang on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "Predictable Scale: Part I, Step Law (2025)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@daxin-jiang" }, "sources": [ { "url": "https://www.alphaxiv.org/@daxin-jiang", "date": "2026-09-05", "title": "Daxin Jiang on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "dean-leitersdorf", "name": "Dean Leitersdorf", "kind": "founder", "wikipedia": null, "bio": "Technion PhD at 23. Co-founded Decart in 2023; its Oasis model showed a playable game world generated frame by frame in real time.", "known_for": [ "Oasis", "Decart" ], "roles": [ { "org": "decart", "title": "Co-founder and CEO", "camp": "wm", "from": "2023", "to": null, "sources": [ { "url": "https://siliconangle.com/2026/05/18/decart-raises-300m-ai-optimization-software-world-models/", "date": "2026-05-18", "title": "Decart raises $300M for its AI optimization software, world models", "publisher": "SiliconANGLE" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "deepak-pathak", "name": "Deepak Pathak", "kind": "researcher", "wikipedia": null, "bio": "Carnegie Mellon professor known for curiosity-driven exploration and adaptive locomotion. Co-founded Skild AI in 2023 and runs it as CEO.", "known_for": [ "Curiosity-driven exploration", "Skild Brain" ], "roles": [ { "org": "skild-ai", "title": "Co-founder and CEO", "camp": "robot", "from": "2023", "to": null, "sources": [ { "url": "https://techcrunch.com/2026/01/14/robotic-software-maker-skild-ai-hits-14b-valuation/", "date": "2026-01-14", "title": "Robotics software maker Skild AI hits $14B valuation", "publisher": "TechCrunch" } ] }, { "org_name": "Carnegie Mellon University", "title": "Professor (on leave)", "camp": "robot", "from": null, "to": null, "sources": [ { "url": "https://techcrunch.com/2026/01/14/robotic-software-maker-skild-ai-hits-14b-valuation/", "date": "2026-01-14", "title": "Robotics software maker Skild AI hits $14B valuation", "publisher": "TechCrunch" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "demis-hassabis", "name": "Demis Hassabis", "kind": "researcher", "wikipedia": "Demis_Hassabis", "bio": "Co-founded DeepMind in 2010 and runs Google DeepMind, the only organization with a serious position in five of the six camps. Shared the 2024 Nobel Prize in Chemistry for AlphaFold.", "known_for": [ "AlphaGo", "AlphaFold", "Gemini" ], "roles": [ { "org": "google-deepmind", "title": "CEO and co-founder", "camp": "llm", "from": "2010", "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Demis_Hassabis", "date": "2026-09-04", "title": "Demis Hassabis", "publisher": "Wikipedia" } ] } ], "honors": [ "Nobel Prize in Chemistry 2024" ], "image": "assets/people/demis-hassabis.jpg", "sources": [], "image_license": { "file": "Demis_Hassabis,_2024_Nobel_Prize_Laureate_in_Chemistry_7_(cropped).jpg", "license": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0", "author": "John Sears", "credit": "Own work", "source_url": "https://commons.wikimedia.org/wiki/File:Demis_Hassabis,_2024_Nobel_Prize_Laureate_in_Chemistry_7_(cropped).jpg", "fetched": "2026-09-04" } }, { "slug": "dieter-fox", "name": "Dieter Fox", "kind": "researcher", "wikipedia": "Dieter_Fox", "bio": "University of Washington professor and senior director of robotics research at Nvidia, where the Isaac simulation work and much of GR00T's training pipeline come from.", "known_for": [ "Probabilistic robotics", "Nvidia robotics research" ], "roles": [ { "org": "nvidia", "title": "Senior director of robotics research", "camp": "robot", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Dieter_Fox", "date": "2026-09-05", "title": "Dieter Fox", "publisher": "Wikipedia" } ] }, { "org_name": "University of Washington", "title": "Professor", "camp": "robot", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Dieter_Fox", "date": "2026-09-05", "title": "Dieter Fox", "publisher": "Wikipedia" } ] } ], "image": "assets/people/dieter-fox.jpg", "sources": [], "image_license": { "file": "Dieter_Fox_University_of_Washington_associate_professor_of_computer_science_and_engineering.jpg", "license": "CC BY-SA 2.0", "license_url": "https://creativecommons.org/licenses/by-sa/2.0", "author": "Intel Free Press", "credit": "https://www.flickr.com/photos/intelfreepress/8895732182/sizes/o/in/photostream/", "source_url": "https://commons.wikimedia.org/wiki/File:Dieter_Fox_University_of_Washington_associate_professor_of_computer_science_and_engineering.jpg", "fetched": "2026-09-05" } }, { "slug": "doina-precup", "name": "Doina Precup", "kind": "researcher", "wikipedia": "Doina_Precup", "bio": "McGill professor and head of DeepMind's Montreal lab. Co-invented the options framework for temporal abstraction that Sutton's OaK architecture builds on.", "known_for": [ "Options framework (1999)", "DeepMind Montreal" ], "roles": [ { "org_name": "McGill University and Mila", "title": "Professor; Canada CIFAR AI Chair", "camp": "rl", "from": null, "to": null, "sources": [ { "url": "https://www.cs.mcgill.ca/~dprecup/", "date": "2026-09-04", "title": "Doina Precup, McGill University", "publisher": "McGill" } ] }, { "org": "google-deepmind", "title": "Head of DeepMind Montreal", "camp": "rl", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Doina_Precup", "date": "2026-09-04", "title": "Doina Precup", "publisher": "Wikipedia" } ] } ], "image": "assets/people/doina-precup.jpg", "sources": [], "image_license": { "file": "Doina_Precup_with_Ian_Kerr.jpg", "license": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0", "author": "Robincantin", "credit": "Own work", "source_url": "https://commons.wikimedia.org/wiki/File:Doina_Precup_with_Ian_Kerr.jpg", "fetched": "2026-09-04" } }, { "slug": "donglin-wang", "name": "Donglin Wang", "kind": "researcher", "featured": false, "roles": [ { "org_name": "Westlake University", "title": "Professor", "camp": "robot", "sources": [ { "url": "https://arxiv.org/abs/2508.10333", "date": "2025-08-14", "title": "ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@donglin-wang", "date": "2026-09-05", "title": "Donglin Wang on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver (2025)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@donglin-wang" }, "sources": [ { "url": "https://www.alphaxiv.org/@donglin-wang", "date": "2026-09-05", "title": "Donglin Wang on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "ekin-dogus-cubuk", "name": "Ekin Dogus Cubuk", "kind": "researcher", "wikipedia": null, "bio": "Led materials discovery at Google DeepMind, including the GNoME project that predicted millions of crystals. Co-founded Periodic Labs in 2025.", "known_for": [ "GNoME", "Periodic Labs" ], "roles": [ { "org": "periodic-labs", "title": "Co-founder", "camp": "phys", "from": "2025", "to": null, "sources": [ { "url": "https://techcrunch.com/2025/09/30/former-openai-and-deepmind-researchers-raise-whopping-300m-seed-to-automate-science/", "date": "2025-09-30", "title": "Former OpenAI and DeepMind researchers raise whopping $300M seed to automate science", "publisher": "TechCrunch" } ] }, { "org": "google-deepmind", "title": "Materials discovery (GNoME)", "camp": "phys", "from": null, "to": "2025", "sources": [ { "url": "https://techcrunch.com/2025/09/30/former-openai-and-deepmind-researchers-raise-whopping-300m-seed-to-automate-science/", "date": "2025-09-30", "title": "Former OpenAI and DeepMind researchers raise whopping $300M seed to automate science", "publisher": "TechCrunch" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "eli-bingham", "name": "Eli Bingham", "kind": "researcher", "wikipedia": null, "bio": "Created the Pyro probabilistic programming language at Uber AI; co-founded Basis in 2022.", "known_for": [ "Pyro", "Basis" ], "roles": [ { "org": "basis", "title": "Co-founder", "camp": "alt", "from": "2022", "to": null, "sources": [ { "url": "https://www.basis.ai/about/", "date": "2026-09-04", "title": "Basis | About", "publisher": "Basis" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "elon-musk", "name": "Elon Musk", "kind": "founder", "wikipedia": "Elon_Musk", "bio": "Founded xAI in 2023 and merged it into SpaceX in February 2026, then took SpaceX public. Grok is now the AI division of a listed company he controls.", "known_for": [ "xAI", "SpaceX-xAI merger" ], "roles": [ { "org": "xai", "title": "Founder; SpaceX CEO", "camp": "llm", "from": "2023-03", "to": null, "sources": [ { "url": "https://www.cnbc.com/2026/02/03/musk-xai-spacex-biggest-merger-ever.html", "date": "2026-02-03", "title": "CNBC", "publisher": "CNBC" } ] } ], "image": "assets/people/elon-musk.jpg", "sources": [], "image_license": { "file": "Elon_Musk_-_54820081119_(cropped).jpg", "license": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0", "author": "Gage Skidmore", "credit": "https://www.flickr.com/photos/gageskidmore/54820081119/", "source_url": "https://commons.wikimedia.org/wiki/File:Elon_Musk_-_54820081119_(cropped).jpg", "fetched": "2026-09-04" } }, { "slug": "emily-bender", "name": "Emily M. Bender", "kind": "researcher", "wikipedia": "Emily_M._Bender", "bio": "Linguist and co-author of the 'stochastic parrots' paper and, in 2025, The AI Con. Her position is not a rival camp but a refusal of the premise: language models model text, not understanding, and the field's claims outrun its evidence.", "known_for": [ "'On the Dangers of Stochastic Parrots' (2021)", "The AI Con (2025)" ], "roles": [ { "org_name": "University of Washington", "title": "Professor of linguistics", "camp": "none", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Emily_M._Bender", "date": "2026-09-05", "title": "Emily M. Bender", "publisher": "Wikipedia" }, { "url": "https://en.wikipedia.org/wiki/The_AI_Con", "date": "2026-09-05", "title": "The AI Con", "publisher": "Wikipedia" } ] } ], "image": null, "sources": [], "argues_for": { "camp": "none", "summary": "Language models model text, not understanding, and the field's claims outrun its evidence.", "sources": [ { "url": "https://en.wikipedia.org/wiki/Emily_M._Bender", "date": "2026-09-05", "title": "Emily M. Bender", "publisher": "Wikipedia" }, { "url": "https://en.wikipedia.org/wiki/The_AI_Con", "date": "2026-09-05", "title": "The AI Con", "publisher": "Wikipedia" } ] }, "image_license": null }, { "slug": "emily-mackevicius", "name": "Emily Mackevicius", "kind": "researcher", "wikipedia": null, "bio": "Neuroscientist and co-founder of the nonprofit Basis.", "known_for": [ "Basis" ], "roles": [ { "org": "basis", "title": "Co-founder", "camp": "alt", "from": "2022", "to": null, "sources": [ { "url": "https://www.basis.ai/about/", "date": "2026-09-04", "title": "Basis | About", "publisher": "Basis" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "emma-brunskill", "name": "Emma Brunskill", "kind": "researcher", "wikipedia": "Emma_Brunskill", "bio": "Stanford professor working on reinforcement learning that has to be sample-efficient and safe because it acts on people, in education and health.", "known_for": [ "Offline and safe RL" ], "roles": [ { "org_name": "Stanford University", "title": "Professor", "camp": "rl", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Emma_Brunskill", "date": "2026-09-05", "title": "Emma Brunskill", "publisher": "Wikipedia" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "eric-xing", "name": "Eric Xing", "kind": "researcher", "wikipedia": "Eric_Xing", "bio": "President of MBZUAI since 2021 and a Carnegie Mellon professor; founded Petuum and GenBio AI. His PAN world model, a general interactable long-horizon simulator, is one of the few academic world-model programs at frontier scale.", "known_for": [ "MBZUAI", "PAN world model", "Petuum" ], "roles": [ { "org_name": "MBZUAI and Carnegie Mellon University", "title": "President; professor", "camp": "wm", "sources": [ { "url": "https://arxiv.org/abs/2511.09057", "date": "2025-11-12", "title": "PAN: A World Model for General, Interactable, and Long-Horizon World Simulation", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@eric-xing", "date": "2026-09-05", "title": "Eric Xing on alphaXiv", "publisher": "alphaXiv" }, { "url": "https://en.wikipedia.org/wiki/Eric_Xing", "date": "2026-09-05", "title": "Eric Xing", "publisher": "Wikipedia" } ], "to": null, "from": null } ], "links": { "alphaxiv": "https://www.alphaxiv.org/@eric-xing" }, "image": "assets/people/eric-xing.jpg", "sources": [ { "url": "https://en.wikipedia.org/wiki/Eric_Xing", "date": "2026-09-05", "title": "Eric Xing", "publisher": "Wikipedia" }, { "url": "https://www.alphaxiv.org/@eric-xing", "date": "2026-09-05", "title": "Eric Xing on alphaXiv", "publisher": "alphaXiv" } ], "image_license": { "file": "Dr._Eric_Xing_Updated_Feb22.jpg", "license": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0", "author": "Bhps1997", "credit": "Own work", "source_url": "https://commons.wikimedia.org/wiki/File:Dr._Eric_Xing_Updated_Feb22.jpg", "fetched": "2026-09-05" } }, { "slug": "fei-fei-li", "name": "Fei-Fei Li", "kind": "researcher", "wikipedia": "Fei-Fei_Li", "bio": "Built ImageNet, the dataset that started the deep-learning era in vision. Founded World Labs in 2024 around 'spatial intelligence': models that understand and generate 3D space rather than text.", "known_for": [ "ImageNet", "Spatial intelligence", "World Labs" ], "roles": [ { "org": "world-labs", "title": "Co-founder and CEO", "camp": "wm", "from": "2024", "to": null, "sources": [ { "url": "https://techcrunch.com/2026/02/18/world-labs-lands-200m-from-autodesk-to-bring-world-models-into-3d-workflows/", "date": "2026-02-18", "title": "TechCrunch", "publisher": "TechCrunch" } ] }, { "org_name": "Stanford University", "title": "Professor; co-director, Stanford HAI", "camp": "wm", "from": null, "to": null, "sources": [ { "url": "https://techcrunch.com/2026/02/18/world-labs-lands-200m-from-autodesk-to-bring-world-models-into-3d-workflows/", "date": "2026-02-18", "title": "TechCrunch", "publisher": "TechCrunch" } ] } ], "image": "assets/people/fei-fei-li.jpg", "sources": [], "image_license": { "file": "Fei-Fei_Li_at_AI_for_Good_2017.jpg", "license": "CC BY 2.0", "license_url": "https://creativecommons.org/licenses/by/2.0", "author": "ITU Pictures", "credit": "https://www.flickr.com/photos/itupictures/35011409612/", "source_url": "https://commons.wikimedia.org/wiki/File:Fei-Fei_Li_at_AI_for_Good_2017.jpg", "fetched": "2026-09-04" } }, { "slug": "francois-chollet", "name": "François Chollet", "kind": "researcher", "wikipedia": "François_Chollet", "bio": "Created Keras and the ARC benchmark, and defines intelligence as skill-acquisition efficiency rather than skill. Co-founded Ndea in 2025 to pursue program synthesis guided by deep learning.", "known_for": [ "Keras", "ARC-AGI", "On the Measure of Intelligence (2019)" ], "roles": [ { "org": "ndea", "title": "Co-founder", "camp": "alt", "from": "2025-01", "to": null, "sources": [ { "url": "https://techcrunch.com/2025/01/15/ai-researcher-francois-chollet-founds-a-new-ai-lab-focused-on-agi/", "date": "2025-01-15", "title": "AI researcher François Chollet founds a new AI lab focused on AGI", "publisher": "TechCrunch" } ] }, { "org": "arc-prize", "title": "Co-founder, ARC Prize Foundation", "camp": "alt", "from": "2024-06", "to": null, "sources": [ { "url": "https://arcprize.org/blog/arc-prize-2025-results-analysis", "date": "2025-12-05", "title": "ARC Prize 2025 results and analysis", "publisher": "ARC Prize" } ] } ], "image": "assets/people/francois-chollet.jpg", "sources": [], "argues_for": { "camp": "alt", "summary": "Intelligence is skill-acquisition efficiency, so it must be measured on novel tasks; program search on top of learned priors, not larger models.", "sources": [ { "url": "https://arxiv.org/abs/1911.01547", "date": "2019-11-05", "title": "On the Measure of Intelligence", "publisher": "arXiv" } ] }, "image_license": { "file": "Fchollet.jpg", "license": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0", "author": "Ramosset", "credit": "Own work", "source_url": "https://commons.wikimedia.org/wiki/File:Fchollet.jpg", "fetched": "2026-09-04" } }, { "slug": "friedemann-zenke", "name": "Friedemann Zenke", "kind": "researcher", "featured": false, "roles": [ { "org_name": "Friedrich Miescher Institute and University of Basel", "title": "Senior group leader", "camp": "alt", "sources": [ { "url": "https://arxiv.org/abs/1901.09948", "date": "2019-01-28", "title": "Surrogate Gradient Learning in Spiking Neural Networks", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@friedemann-zenke", "date": "2026-09-05", "title": "Friedemann Zenke on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "Surrogate Gradient Learning in Spiking Neural Networks (2019)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@friedemann-zenke" }, "sources": [ { "url": "https://www.alphaxiv.org/@friedemann-zenke", "date": "2026-09-05", "title": "Friedemann Zenke on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "gang-pan", "name": "Gang Pan", "kind": "researcher", "featured": false, "roles": [ { "org_name": "Zhejiang University", "title": "Professor; director, State Key Lab of Brain-Machine Intelligence", "camp": "alt", "sources": [ { "url": "https://arxiv.org/abs/2409.02111", "date": "2024-08-19", "title": "Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@gang-pan-pan-gang", "date": "2026-09-05", "title": "Gang Pan on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions (2024)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@gang-pan-pan-gang" }, "sources": [ { "url": "https://www.alphaxiv.org/@gang-pan-pan-gang", "date": "2026-09-05", "title": "Gang Pan on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "gary-marcus", "name": "Gary Marcus", "kind": "researcher", "wikipedia": "Gary_Marcus", "bio": "Cognitive scientist and the most persistent public critic of pure scaling. Argues for neurosymbolic systems that combine learned and explicit structure.", "known_for": [ "Neurosymbolic AI advocacy", "Rebooting AI" ], "roles": [ { "org_name": "New York University", "title": "Professor emeritus", "camp": "alt", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Gary_Marcus", "date": "2026-09-04", "title": "Gary Marcus", "publisher": "Wikipedia" } ] } ], "image": "assets/people/gary-marcus.jpg", "sources": [], "argues_for": { "camp": "alt", "summary": "Pure scaling has hit its limits; systems need explicit structure and symbols combined with learning.", "sources": [ { "url": "https://en.wikipedia.org/wiki/Gary_Marcus", "date": "2026-09-05", "title": "Gary Marcus", "publisher": "Wikipedia" } ] }, "image_license": { "file": "Gary_Marcus_at_Web_Summit_2022.jpeg", "license": "CC BY 2.0", "license_url": "https://creativecommons.org/licenses/by/2.0", "author": "Web Summit", "credit": "PO2_5268", "source_url": "https://commons.wikimedia.org/wiki/File:Gary_Marcus_at_Web_Summit_2022.jpeg", "fetched": "2026-09-04" } }, { "slug": "geoffrey-hinton", "name": "Geoffrey Hinton", "kind": "researcher", "wikipedia": "Geoffrey_Hinton", "bio": "Backpropagation pioneer, Turing laureate and 2024 Nobel laureate in physics. His 2022 'mortal computation' proposal argues for analog hardware whose weights die with the device, a break from the digital substrate every camp assumes.", "known_for": [ "Backpropagation", "AlexNet", "The Forward-Forward Algorithm (2022)" ], "roles": [ { "org_name": "University of Toronto", "title": "Professor emeritus", "camp": "alt", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Geoffrey_Hinton", "date": "2026-09-04", "title": "Geoffrey Hinton", "publisher": "Wikipedia" } ] } ], "honors": [ "Turing Award 2018", "Nobel Prize in Physics 2024" ], "image": "assets/people/geoffrey-hinton.jpg", "sources": [], "argues_for": { "camp": "alt", "summary": "'Mortal computation': analog hardware whose weights are tied to the device, learned with local rules like forward-forward, as a cheaper substrate than backprop on digital chips.", "sources": [ { "url": "https://arxiv.org/abs/2212.13345", "date": "2022-12-27", "title": "The Forward-Forward Algorithm: Some Preliminary Investigations", "publisher": "arXiv" } ] }, "image_license": { "file": "Geoffrey_Hinton_in_2026.jpg", "license": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0", "author": "Cmichel67", "credit": "Own work", "source_url": "https://commons.wikimedia.org/wiki/File:Geoffrey_Hinton_in_2026.jpg", "fetched": "2026-09-04" } }, { "slug": "george-em-karniadakis", "name": "George Em Karniadakis", "kind": "researcher", "wikipedia": "George_Karniadakis", "bio": "Brown applied mathematician who coined physics-informed neural networks with his students in 2017 and has spent the years since building the operator-learning toolbox (DeepONet, physics-informed DeepONets) that the simulator-first strand runs on. Earlier work on spectral element methods and polynomial chaos is why the camp's engineers trust him.", "known_for": [ "Physics-informed neural networks", "DeepONet", "Spectral/hp element methods" ], "roles": [ { "org_name": "Brown University", "title": "Professor of applied mathematics", "camp": "phys", "sources": [ { "url": "https://arxiv.org/abs/2207.05748", "date": "2022-07-08", "title": "Physics-Informed Deep Neural Operator Networks", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@george-em-karniadakis", "date": "2026-09-05", "title": "George Em Karniadakis on alphaXiv", "publisher": "alphaXiv" }, { "url": "https://en.wikipedia.org/wiki/George_Karniadakis", "date": "2026-09-05", "title": "George Karniadakis", "publisher": "Wikipedia" } ], "to": null, "from": null } ], "links": { "alphaxiv": "https://www.alphaxiv.org/@george-em-karniadakis" }, "image": "assets/people/george-em-karniadakis.jpg", "sources": [ { "url": "https://en.wikipedia.org/wiki/George_Karniadakis", "date": "2026-09-05", "title": "George Karniadakis", "publisher": "Wikipedia" }, { "url": "https://www.alphaxiv.org/@george-em-karniadakis", "date": "2026-09-05", "title": "George Em Karniadakis on alphaXiv", "publisher": "alphaXiv" } ], "image_license": { "file": "Portrait_of_Professor_George_Em_Karniadakis_at_Brown_University.jpg", "license": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0", "author": "George Em Karniadakis", "credit": "Own work", "source_url": "https://commons.wikimedia.org/wiki/File:Portrait_of_Professor_George_Em_Karniadakis_at_Brown_University.jpg", "fetched": "2026-09-05" } }, { "slug": "george-konidaris", "name": "George Konidaris", "kind": "researcher", "featured": false, "roles": [ { "org_name": "Brown University", "title": "Professor", "camp": "rl", "sources": [ { "url": "https://arxiv.org/abs/2503.04256", "date": "2025-03-06", "title": "Knowledge Retention for Continual Model-Based Reinforcement Learning", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@george-konidaris", "date": "2026-09-05", "title": "George Konidaris on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "Knowledge Retention for Continual Model-Based Reinforcement Learning (2025)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@george-konidaris" }, "sources": [ { "url": "https://www.alphaxiv.org/@george-konidaris", "date": "2026-09-05", "title": "George Konidaris on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "gerbrand-ceder", "name": "Gerbrand Ceder", "kind": "researcher", "wikipedia": "Gerbrand_Ceder", "bio": "Berkeley materials scientist behind A-Lab, the autonomous laboratory that synthesized dozens of computed materials in 2023 and became the reference case for lab-in-the-loop discovery.", "known_for": [ "A-Lab", "Computational materials design" ], "roles": [ { "org_name": "UC Berkeley and Lawrence Berkeley National Laboratory", "title": "Professor", "camp": "phys", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Gerbrand_Ceder", "date": "2026-09-05", "title": "Gerbrand Ceder", "publisher": "Wikipedia" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "giacomo-indiveri", "name": "Giacomo Indiveri", "kind": "researcher", "featured": false, "roles": [ { "org_name": "University of Zurich and ETH Zurich", "title": "Professor; director, Institute of Neuroinformatics", "camp": "alt", "sources": [ { "url": "https://arxiv.org/abs/2502.20381", "date": "2025-02-27", "title": "Waves and symbols in neuromorphic hardware", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@giacomo-indiveri", "date": "2026-09-05", "title": "Giacomo Indiveri on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "Waves and symbols in neuromorphic hardware (2025)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@giacomo-indiveri" }, "sources": [ { "url": "https://www.alphaxiv.org/@giacomo-indiveri", "date": "2026-09-05", "title": "Giacomo Indiveri on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "giovanni-pezzulo", "name": "Giovanni Pezzulo", "kind": "researcher", "featured": false, "roles": [ { "org_name": "National Research Council of Italy", "title": "Research director", "camp": "alt", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/2301.05832", "date": "2023-01-14", "title": "World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@giovanni-pezzulo", "date": "2026-09-05", "title": "Giovanni Pezzulo on alphaXiv", "publisher": "alphaXiv" } ] } ], "known_for": [ "World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges (2023)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@giovanni-pezzulo" }, "sources": [ { "url": "https://www.alphaxiv.org/@giovanni-pezzulo", "date": "2026-09-05", "title": "Giovanni Pezzulo on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "gitta-kutyniok", "name": "Gitta Kutyniok", "kind": "researcher", "wikipedia": "Gitta_Kutyniok", "bio": "Holder of the Bavarian AI Chair for Mathematical Foundations of AI at LMU Munich. Works on the expressivity and limits of networks, including spiking ones, and on what can be proved about deep learning at all; the mathematical conscience of the substrate camp.", "known_for": [ "Expressivity of spiking neural networks", "Compressed sensing", "Shearlets" ], "roles": [ { "org_name": "LMU Munich", "title": "Bavarian AI Chair for Mathematical Foundations of AI", "camp": "alt", "sources": [ { "url": "https://arxiv.org/abs/2308.08218", "date": "2023-08-16", "title": "Expressivity of Spiking Neural Networks", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@gitta-kutyniok", "date": "2026-09-05", "title": "Gitta Kutyniok on alphaXiv", "publisher": "alphaXiv" }, { "url": "https://en.wikipedia.org/wiki/Gitta_Kutyniok", "date": "2026-09-05", "title": "Gitta Kutyniok", "publisher": "Wikipedia" } ], "to": null, "from": null } ], "links": { "alphaxiv": "https://www.alphaxiv.org/@gitta-kutyniok" }, "image": "assets/people/gitta-kutyniok.jpg", "sources": [ { "url": "https://en.wikipedia.org/wiki/Gitta_Kutyniok", "date": "2026-09-05", "title": "Gitta Kutyniok", "publisher": "Wikipedia" }, { "url": "https://www.alphaxiv.org/@gitta-kutyniok", "date": "2026-09-05", "title": "Gitta Kutyniok on alphaXiv", "publisher": "alphaXiv" } ], "image_license": { "file": "KutyniokGitta_2015_MFO19565.jpg", "license": "CC BY-SA 2.0 de", "license_url": "https://creativecommons.org/licenses/by-sa/2.0/de/deed.en", "author": "Ruf, Tatjana", "credit": "https://opc.mfo.de/detail?photo_id=1956", "source_url": "https://commons.wikimedia.org/wiki/File:KutyniokGitta_2015_MFO19565.jpg", "fetched": "2026-09-05" } }, { "slug": "graham-taylor", "name": "Graham Taylor", "kind": "researcher", "featured": false, "roles": [ { "org_name": "University of Guelph and Vector Institute", "title": "Professor", "camp": "wm", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/2603.15553", "date": "2026-03-16", "title": "Self-Distillation of Hidden Layers for Self-Supervised Representation Learning", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@graham-taylor", "date": "2026-09-05", "title": "Graham Taylor on alphaXiv", "publisher": "alphaXiv" } ] } ], "known_for": [ "Self-Distillation of Hidden Layers for Self-Supervised Representation Learning (2026)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@graham-taylor" }, "sources": [ { "url": "https://www.alphaxiv.org/@graham-taylor", "date": "2026-09-05", "title": "Graham Taylor on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "greg-brockman", "name": "Greg Brockman", "kind": "founder", "wikipedia": "Greg_Brockman", "bio": "OpenAI co-founder and president; the engineering lead behind its largest training runs.", "known_for": [ "OpenAI" ], "roles": [ { "org": "openai", "title": "President and co-founder", "camp": "llm", "from": "2015-12", "to": null, "sources": [ { "url": "https://techcrunch.com/2026/06/08/following-anthropic-openai-files-confidentially-for-ipo/", "date": "2026-06-08", "title": "OpenAI files confidentially for IPO, following Anthropic", "publisher": "TechCrunch" } ] } ], "image": "assets/people/greg-brockman.jpg", "sources": [], "image_license": { "file": "Disrupt_SF_TechCrunch_Disrupt_San_Francisco_2019_-_Day_2_(48838200316)_(cropped).jpg", "license": "CC BY 2.0", "license_url": "https://creativecommons.org/licenses/by/2.0", "author": "TechCrunch", "credit": "TechCrunch Disrupt San Francisco 2019 - Day 2", "source_url": "https://commons.wikimedia.org/wiki/File:Disrupt_SF_TechCrunch_Disrupt_San_Francisco_2019_-_Day_2_(48838200316)_(cropped).jpg", "fetched": "2026-09-04" } }, { "slug": "guanghui-ren", "name": "Guanghui Ren", "kind": "researcher", "featured": false, "roles": [ { "org_name": "AgiBot", "title": "Researcher", "camp": "robot", "sources": [ { "url": "https://arxiv.org/abs/2601.11404", "date": "2026-01-16", "title": "ACoT-VLA: Action Chain-of-Thought for Vision-Language-Action Models", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@guanghui-ren-ren-guang-hui", "date": "2026-09-05", "title": "Guanghui Ren on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "ACoT-VLA: Action Chain-of-Thought for Vision-Language-Action Models (2026)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@guanghui-ren-ren-guang-hui" }, "sources": [ { "url": "https://www.alphaxiv.org/@guanghui-ren-ren-guang-hui", "date": "2026-09-05", "title": "Guanghui Ren on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "guanya-shi", "name": "Guanya Shi", "kind": "researcher", "featured": false, "roles": [ { "org_name": "Carnegie Mellon University", "title": "Assistant professor", "camp": "robot", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/2511.15200", "date": "2025-11-19", "title": "VIRAL: Visual Sim-to-Real at Scale for Humanoid Loco-Manipulation", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@guanya-shi", "date": "2026-09-05", "title": "Guanya Shi on alphaXiv", "publisher": "alphaXiv" } ] } ], "known_for": [ "VIRAL: Visual Sim-to-Real at Scale for Humanoid Loco-Manipulation (2025)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@guanya-shi" }, "sources": [ { "url": "https://www.alphaxiv.org/@guanya-shi", "date": "2026-09-05", "title": "Guanya Shi on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "guillaume-verdon", "name": "Guillaume Verdon", "kind": "researcher", "wikipedia": "Guillaume_Verdon", "bio": "Former Google quantum researcher who founded Extropic in 2022 to build thermodynamic computers, and who wrote the effective-accelerationism manifesto under a pseudonym.", "known_for": [ "Extropic", "Thermodynamic sampling units" ], "roles": [ { "org": "extropic", "title": "Founder and CEO", "camp": "alt", "from": "2022-06", "to": null, "sources": [ { "url": 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founder, BioGeometry", "camp": "phys", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/2603.27950", "date": "2026-03-30", "title": "Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@jian-tang-tang-jian", "date": "2026-09-05", "title": "Jian Tang on alphaXiv", "publisher": "alphaXiv" } ] } ], "known_for": [ "Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute (2026)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@jian-tang-tang-jian" }, "sources": [ { "url": "https://www.alphaxiv.org/@jian-tang-tang-jian", "date": "2026-09-05", "title": "Jian Tang on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "jiang-bian", "name": "Jiang Bian", "kind": "researcher", "featured": false, "roles": [ { "org_name": "XYZ AI Lab", "title": "Co-founder", "camp": "wm", "sources": [ { "url": "https://arxiv.org/abs/2510.26433", "date": "2025-10-30", "title": "Co-Evolving Latent Action World Models", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@jiang-bian", "date": "2026-09-05", "title": "Jiang Bian on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "Co-Evolving Latent Action World Models (2025)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@jiang-bian" }, "sources": [ { "url": "https://www.alphaxiv.org/@jiang-bian", "date": "2026-09-05", "title": "Jiang Bian on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "jiangmiao-pang", "name": "Jiangmiao Pang", "kind": "researcher", "featured": false, "roles": [ { "org_name": "Shanghai AI Laboratory", "title": "Head, Embodied AI Center", "camp": "robot", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/2502.10363", "date": "2025-02-14", "title": "BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@jiangmiao-pang-pang-jiang-miao", "date": "2026-09-05", "title": "Jiangmiao Pang on alphaXiv", "publisher": "alphaXiv" } ] } ], "known_for": [ "BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds (2025)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@jiangmiao-pang-pang-jiang-miao" }, "sources": [ { "url": "https://www.alphaxiv.org/@jiangmiao-pang-pang-jiang-miao", "date": "2026-09-05", "title": "Jiangmiao Pang on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "jie-tan", "name": "Jie Tan", "kind": "researcher", "featured": false, "roles": [ { "org": "google-deepmind", "title": "Principal research scientist and director", "camp": "robot", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/1804.10332", "date": "2018-04-27", "title": "Sim-to-Real: Learning Agile Locomotion For Quadruped Robots", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@jie-tan", "date": "2026-09-05", "title": "Jie Tan on alphaXiv", "publisher": "alphaXiv" } ] } ], "known_for": [ "Sim-to-Real: Learning Agile Locomotion For Quadruped Robots (2018)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@jie-tan" }, "sources": [ { "url": "https://www.alphaxiv.org/@jie-tan", "date": "2026-09-05", "title": "Jie Tan on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "jim-fan", "name": "Jim Fan", "kind": "researcher", "wikipedia": null, "bio": "Co-leads Nvidia's GEAR lab (Generalist Embodied Agent Research), which works on GR00T and the simulation-to-robot pipeline. Sits between the world-model and robotics camps.", "known_for": [ "GR00T", "Voyager", "MineDojo" ], "roles": [ { "org": "nvidia", "title": "Co-lead, GEAR lab", "camp": "wm", "from": null, "to": null, "sources": [ { "url": "https://sequoiacap.com/podcast/training-data-jim-fan", "date": "2024-09-03", "title": "Nvidia's Jim Fan on robots thinking fast and slow", "publisher": "Sequoia Capital" } ] }, { "org": "nvidia", "title": "Co-lead, GEAR lab", "camp": "robot", "from": null, "to": null, "sources": [ { "url": "https://nvidianews.nvidia.com/news/nvidia-expands-open-model-families-to-power-the-next-wave-of-agentic-physical-and-healthcare-ai", "date": "2026-03-16", "title": "NVIDIA expands open model families to power the next wave of agentic, physical and healthcare AI", "publisher": "NVIDIA" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "jitendra-malik", "name": "Jitendra Malik", "kind": "researcher", "wikipedia": "Jitendra_Malik", "bio": "Berkeley's senior computer-vision professor, whose students populate the robotics and world-model camps. Argues that intelligence developed through sensorimotor interaction before language, and that AI should follow that order.", "known_for": [ "Computer vision", "Embodied AI advocacy" ], "roles": [ { "org_name": "UC Berkeley", "title": "Professor", "camp": "robot", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Jitendra_Malik", "date": "2026-09-04", "title": "Jitendra Malik", "publisher": "Wikipedia" } ] } ], "image": "assets/people/jitendra-malik.jpg", "sources": [], "image_license": { "file": "180906-N-PO203-0045_(43874899564).jpg", "license": "Public domain", "license_url": null, "author": "Office of Naval Research from Arlington, United States", "credit": "180906-N-PO203-0045", "source_url": "https://commons.wikimedia.org/wiki/File:180906-N-PO203-0045_(43874899564).jpg", "fetched": "2026-09-04" } }, { "slug": "joel-hestness", "name": "Joel Hestness", "kind": "researcher", "featured": false, "roles": [ { "org_name": "Cerebras", "title": "Distinguished research scientist", "camp": "llm", "sources": [ { "url": "https://arxiv.org/abs/2505.13738", "date": "2025-05-19", "title": "Power Lines: Scaling Laws for Weight Decay and Batch Size in LLM Pre-training", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@joel-hestness", "date": "2026-09-05", "title": "Joel Hestness on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "Power Lines: Scaling Laws for Weight Decay and Batch Size in LLM Pre-training (2025)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@joel-hestness" }, "sources": [ { "url": "https://www.alphaxiv.org/@joel-hestness", "date": "2026-09-05", "title": "Joel Hestness on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "joel-lehman", "name": "Joel Lehman", "kind": "researcher", "featured": false, "roles": [ { "org": "lila-sciences", "title": "Machine learning researcher", "camp": "rl", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/2306.01711", "date": "2023-06-02", "title": "OMNI: Open-endedness via Models of human Notions of Interestingness", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@joel-lehman", "date": "2026-09-05", "title": "Joel Lehman on alphaXiv", "publisher": "alphaXiv" } ] } ], "known_for": [ "OMNI: Open-endedness via Models of human Notions of Interestingness (2023)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@joel-lehman" }, "sources": [ { "url": "https://www.alphaxiv.org/@joel-lehman", "date": "2026-09-05", "title": "Joel Lehman on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "joelle-pineau", "name": "Joëlle Pineau", "kind": "researcher", "wikipedia": "Joëlle_Pineau", "bio": "Ran Meta's FAIR lab as vice president of AI research until 2025, then joined Cohere as chief AI officer. A reinforcement-learning researcher by training, at McGill and Mila.", "known_for": [ "FAIR leadership", "Reproducibility in RL" ], "roles": [ { "org": "cohere", "title": "Chief AI officer", "camp": "llm", "from": "2025-08", "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Joëlle_Pineau", "date": "2026-09-05", "title": "Joëlle Pineau", "publisher": "Wikipedia" } ] }, { "org": "meta", "title": "VP of AI research, FAIR", "camp": "wm", "from": null, "to": "2025-05", "sources": [ { "url": "https://en.wikipedia.org/wiki/Joëlle_Pineau", "date": "2026-09-05", "title": "Joëlle Pineau", "publisher": "Wikipedia" } ] } ], "image": "assets/people/joelle-pineau.jpg", "sources": [], "image_license": { "file": "Joëlle_Pineau_at_All_In_2025_03.jpg", "license": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0", "author": "Gabriel Hutchinson", "credit": "Own work", "source_url": "https://commons.wikimedia.org/wiki/File:Jo%C3%ABlle_Pineau_at_All_In_2025_03.jpg", "fetched": "2026-09-05" } }, { "slug": "johannes-brandstetter", "name": "Johannes Brandstetter", "kind": "researcher", "featured": false, "roles": [ { "org_name": "JKU Linz", "title": "Associate professor", "camp": "phys", "sources": [ { "url": "https://arxiv.org/abs/2209.15616", "date": "2022-09-30", "title": "Towards Multi-spatiotemporal-scale Generalized PDE Modeling", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@johannes-brandstetter", "date": "2026-09-05", "title": "Johannes Brandstetter on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "Towards Multi-spatiotemporal-scale Generalized PDE Modeling (2022)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@johannes-brandstetter" }, "sources": [ { "url": "https://www.alphaxiv.org/@johannes-brandstetter", "date": "2026-09-05", "title": "Johannes Brandstetter on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "john-carmack", "name": "John Carmack", "kind": "founder", "wikipedia": "John_Carmack", "bio": "Id Software and Oculus engineer who started Keen Technologies in 2022 to attack AGI as an engineering problem via reinforcement learning from experience.", "known_for": [ "Doom", "Oculus", "Keen Technologies" ], "roles": [ { "org": "keen-technologies", "title": "Founder", "camp": "rl", "from": "2022", "to": null, "sources": [ { "url": "https://thenextweb.com/news/richard-sutton-oak-lab-reinforcement-learning", "date": "2026-07-14", "title": "The father of reinforcement learning is leaving Carmack to build his own AI", "publisher": "The Next Web" } ] } ], "image": "assets/people/john-carmack.jpg", "sources": [], "image_license": { "file": "John_Carmack_2025.jpg", "license": "CC0", "license_url": "http://creativecommons.org/publicdomain/zero/1.0/deed.en", "author": "RoboSabs", "credit": "Own work", "source_url": "https://commons.wikimedia.org/wiki/File:John_Carmack_2025.jpg", "fetched": "2026-09-04" } }, { "slug": "john-jumper", "name": "John Jumper", "kind": "researcher", "wikipedia": "John_M._Jumper", "bio": "Led AlphaFold at DeepMind and shared the 2024 Nobel Prize in Chemistry for it. Left for Anthropic in June 2026 after DeepMind moved him onto a coding-model team and dispersed the AlphaFold group.", "known_for": [ "AlphaFold 2" ], "roles": [ { "org": "anthropic", "title": "AI for science", "camp": "phys", "from": "2026-06", "to": null, "sources": [ { "url": "https://the-decoder.com/deepmind-dismantles-its-alphafold-team-as-key-authors-leave-for-anthropic/", "date": "2026-06-20", "title": "DeepMind dismantles its AlphaFold team as key authors leave for Anthropic", "publisher": "The Decoder" }, { "url": "https://thenextweb.com/news/deepmind-alphafold-team-dismantled-gemini-anthropic", "date": "2026-06-22", "title": "DeepMind won a Nobel for AlphaFold. Then it broke up the team.", "publisher": "The Next Web" } ] }, { "org": "google-deepmind", "title": "VP and engineering fellow; AlphaFold lead", "camp": "phys", "from": "2017-10", "to": "2026-06", "sources": [ { "url": "https://the-decoder.com/deepmind-dismantles-its-alphafold-team-as-key-authors-leave-for-anthropic/", "date": "2026-06-20", "title": "DeepMind dismantles its AlphaFold team as key authors leave for Anthropic", "publisher": "The Decoder" } ] } ], "honors": [ "Nobel Prize in Chemistry 2024" ], "image": "assets/people/john-jumper.jpg", "sources": [], "image_license": { "file": "John_M._Jumper_presenting_his_Nobel_Lecture_at_the_2024_Nobel_Prizes.jpg", "license": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0", "author": "Jay Dixit", "credit": "Own work", "source_url": "https://commons.wikimedia.org/wiki/File:John_M._Jumper_presenting_his_Nobel_Lecture_at_the_2024_Nobel_Prizes.jpg", "fetched": "2026-09-04" } }, { "slug": "john-schulman", "name": "John Schulman", "kind": "researcher", "wikipedia": "John_Schulman", "bio": "Co-invented proximal policy optimization and led the post-training that produced ChatGPT at OpenAI. Joined Thinking Machines Lab in 2025 as chief scientist after a short stint at Anthropic.", "known_for": [ "PPO", "ChatGPT post-training" ], "roles": [ { "org": "thinking-machines", "title": "Chief scientist", "camp": "llm", "from": "2025-02", "to": null, "sources": [ { "url": "https://techcrunch.com/2025/07/15/mira-muratis-thinking-machines-lab-is-worth-12b-in-seed-round/", "date": "2025-07-15", "title": "Mira Murati's Thinking Machines Lab is worth $12B in seed round", "publisher": "TechCrunch" } ] }, { "org": "openai", "title": "Co-founder; RLHF lead", "camp": "llm", "from": "2015-12", "to": "2024-08", "sources": [ { "url": "https://en.wikipedia.org/wiki/John_Schulman", "date": "2026-09-04", "title": "John Schulman", "publisher": "Wikipedia" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "jonas-hubotter", "name": "Jonas Hübotter", "kind": "researcher", "featured": false, "roles": [ { "org_name": "ETH Zurich", "title": "PhD student", "camp": "rl", "sources": [ { "url": "https://arxiv.org/abs/2601.19897", "date": "2026-01-27", "title": "Self-Distillation Enables Continual Learning", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@jonas-hubotter", "date": "2026-09-05", "title": "Jonas Hübotter on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "Self-Distillation Enables Continual Learning (2026)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@jonas-hubotter" }, "sources": [ { "url": "https://www.alphaxiv.org/@jonas-hubotter", "date": "2026-09-05", "title": "Jonas Hübotter on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "joseph-krause", "name": "Joseph Krause", "kind": "founder", "wikipedia": null, "bio": "CEO and co-founder of Radical AI, which runs autonomous materials labs in the Brooklyn Navy Yard.", "known_for": [ "Radical AI" ], "roles": [ { "org": "radical-ai", "title": "Co-founder and CEO", "camp": "phys", "from": "2024", "to": null, "sources": [ { "url": "https://www.governor.ny.gov/news/governor-hochul-celebrates-radical-ai-establishing-new-yorks-first-fully-autonomous-materials", "date": "2026-01-27", "title": "Governor Hochul celebrates Radical AI establishing New York's first fully autonomous materials science labs", "publisher": "New York State" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "joshua-c-agar", "name": "Joshua C. Agar", "kind": "researcher", "featured": false, "roles": [ { "org_name": "Drexel University", "title": "Assistant professor", "camp": "phys", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/2304.02048", "date": "2023-04-04", "title": "Deep Learning for Automated Experimentation in Scanning Transmission Electron Microscopy", "publisher": "arXiv" }, { "url": "https://researchdiscovery.drexel.edu/esploro/profile/joshua_agar", "date": "2026-09-05", "title": "Joshua C. Agar, Drexel University research profile", "publisher": "Drexel University" } ] } ], "known_for": [ "Deep Learning for Automated Experimentation in Scanning Transmission Electron Microscopy (2023)" ], "links": { "homepage": "https://researchdiscovery.drexel.edu/esploro/profile/joshua_agar" }, "sources": [ { "url": "https://researchdiscovery.drexel.edu/esploro/profile/joshua_agar", "date": "2026-09-05", "title": "Joshua C. Agar, Drexel University research profile", "publisher": "Drexel University" } ], "image_license": null }, { "slug": "joshua-tenenbaum", "name": "Joshua Tenenbaum", "kind": "researcher", "wikipedia": "Joshua_Tenenbaum", "bio": "MIT professor who models human learning as Bayesian program induction. His 2015 Science paper showed a program-learning model matching humans on one-shot character learning.", "known_for": [ "Bayesian program learning", "Probabilistic programming" ], "roles": [ { "org_name": "MIT", "title": "Professor of computational cognitive science", "camp": "alt", "from": null, "to": null, "sources": [ { "url": "https://doi.org/10.1126/science.aab3050", "date": "2015-12-11", "title": "Human-level concept learning through probabilistic program induction", "publisher": "Science" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "judea-pearl", "name": "Judea Pearl", "kind": "researcher", "wikipedia": "Judea_Pearl", "bio": "Turing laureate for Bayesian networks and causal inference. Argues that systems trained only on correlations cannot reason about interventions, which is the substrate camp's oldest objection to pure scaling.", "known_for": [ "Bayesian networks", "Causal inference", "The Book of Why" ], "roles": [ { "org_name": "UCLA", "title": "Professor", "camp": "alt", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Judea_Pearl", "date": "2026-09-05", "title": "Judea Pearl", "publisher": "Wikipedia" } ] } ], "image": "assets/people/judea-pearl.jpg", "sources": [], "image_license": { "file": "Judea_Pearl_at_NIPS_2013_(11781981594).jpg", "license": "CC BY 2.0", "license_url": "https://creativecommons.org/licenses/by/2.0", "author": "Better Than Bacon", "credit": "Judea Pearl at NIPS 2013", "source_url": "https://commons.wikimedia.org/wiki/File:Judea_Pearl_at_NIPS_2013_(11781981594).jpg", "fetched": "2026-09-05" } }, { "slug": "julian-togelius", "name": "Julian Togelius", "kind": "researcher", "featured": false, "roles": [ { "org_name": "New York University", "title": "Professor", "camp": "alt", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/2605.23908", "date": "2026-04-01", "title": "In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@julian-togelius", "date": "2026-09-05", "title": "Julian Togelius on alphaXiv", "publisher": "alphaXiv" } ] } ], "known_for": [ "In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models (2026)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@julian-togelius" }, "sources": [ { "url": "https://www.alphaxiv.org/@julian-togelius", "date": "2026-09-05", "title": "Julian Togelius on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "jurgen-schmidhuber", "name": "Jürgen Schmidhuber", "kind": "researcher", "wikipedia": "Jürgen_Schmidhuber", "bio": "LSTM co-inventor who directs the AI Initiative at KAUST and co-founded NNAISENSE. Proposed the Gödel machine, a provably self-improving agent, in 2003; his KAUST group shipped a partial version in 2025.", "known_for": [ "LSTM", "Gödel machine", "Artificial curiosity" ], "roles": [ { "org": "kaust-ai", "title": "Director, AI Initiative", "camp": "alt", "from": "2021", "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/J%C3%BCrgen_Schmidhuber", "date": "2026-09-04", "title": "Jürgen Schmidhuber", "publisher": "Wikipedia" } ] }, { "org_name": "NNAISENSE", "title": "Co-founder and chief scientist", "camp": "alt", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/J%C3%BCrgen_Schmidhuber", "date": "2026-09-04", "title": "Jürgen Schmidhuber", "publisher": "Wikipedia" } ] } ], "image": "assets/people/jurgen-schmidhuber.jpg", "sources": [], "image_license": { "file": "Jürgen_Schmidhuber,_2017_(cropped).jpg", "license": "CC BY 2.0", "license_url": "https://creativecommons.org/licenses/by/2.0", "author": "ITU/R.Farrell", "credit": "https://www.flickr.com/photos/itupictures/34343385563", "source_url": "https://commons.wikimedia.org/wiki/File:J%C3%BCrgen_Schmidhuber,_2017_(cropped).jpg", "fetched": "2026-09-04" } }, { "slug": "justin-johnson", "name": "Justin Johnson", "kind": "researcher", "wikipedia": null, "bio": "Computer-vision researcher (Michigan, previously Meta) who co-founded World Labs with Fei-Fei Li in 2024.", "known_for": [ "World Labs" ], "roles": [ { "org": "world-labs", "title": "Co-founder", "camp": "wm", "from": "2024", "to": null, "sources": [ { "url": "https://techcrunch.com/2026/02/18/world-labs-lands-200m-from-autodesk-to-bring-world-models-into-3d-workflows/", "date": "2026-02-18", "title": "TechCrunch", "publisher": "TechCrunch" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "karl-friston", "name": "Karl Friston", "kind": "researcher", "wikipedia": "Karl_J._Friston", "bio": "Neuroscientist behind the free-energy principle and active inference, one of the most cited scientists alive. Chief scientist at Verses, which builds agents on those ideas.", "known_for": [ "Free-energy principle", "Active inference", "Statistical parametric mapping" ], "roles": [ { "org": "verses", "title": "Chief scientist", "camp": "alt", "from": "2022", "to": null, "sources": [ { "url": "https://www.globenewswire.com/news-release/2024/12/23/3001222/0/en/VERSES-Renews-Agreement-with-Chief-Scientist-Karl-Friston-to-Continue-Innovation.html", "date": "2024-12-23", "title": "VERSES renews agreement with chief scientist Karl Friston", "publisher": "GlobeNewswire" } ] }, { "org_name": "University College London", "title": "Professor of neuroscience", "camp": "alt", "from": null, "to": null, "sources": [ { "url": "https://www.globenewswire.com/news-release/2024/12/23/3001222/0/en/VERSES-Renews-Agreement-with-Chief-Scientist-Karl-Friston-to-Continue-Innovation.html", "date": "2024-12-23", "title": "VERSES renews agreement with chief scientist Karl Friston", "publisher": "GlobeNewswire" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "karol-hausman", "name": "Karol Hausman", "kind": "researcher", "wikipedia": "Karol_Hausman", "bio": "Led robot-learning work at Google (SayCan, RT-1) before co-founding Physical Intelligence, which he runs as CEO.", "known_for": [ "SayCan", "RT-1", "Physical Intelligence" ], "roles": [ { "org": "physical-intelligence", "title": "Co-founder and CEO", "camp": "robot", "from": "2024", "to": null, "sources": [ { "url": "https://www.bloomberg.com/news/articles/2025-11-20/robotics-startup-physical-intelligence-valued-at-5-6-billion-in-new-funding", "date": "2025-11-20", "title": "Robotics startup Physical Intelligence valued at $5.6 billion in new funding", "publisher": "Bloomberg" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "karsten-kreis", "name": "Karsten Kreis", "kind": "researcher", "featured": false, "roles": [ { "org": "nvidia", "title": "Principal research scientist", "camp": "phys", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/2603.27950", "date": "2026-03-30", "title": "Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@karsten-kreis", "date": "2026-09-05", "title": "Karsten Kreis on alphaXiv", "publisher": "alphaXiv" } ] } ], "known_for": [ "Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute (2026)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@karsten-kreis" }, "sources": [ { "url": "https://www.alphaxiv.org/@karsten-kreis", "date": "2026-09-05", "title": "Karsten Kreis on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "kaushik-roy", "name": "Kaushik Roy", "kind": "researcher", "wikipedia": "Kaushik_Roy_(engineer)", "bio": "Purdue's Distinguished Professor of electrical and computer engineering and the person who made spiking networks trainable at depth. Directed the Center for Brain-Inspired Computing and now runs the Institute of CHIPS and AI; his lab's line from spike-based backpropagation to in-memory computing is the academic base of the neuromorphic strand.", "known_for": [ "Spike-based backpropagation", "Center for Brain-Inspired Computing" ], "roles": [ { "org_name": "Purdue University", "title": "Distinguished professor", "camp": "alt", "sources": [ { "url": "https://arxiv.org/abs/1903.06379", "date": "2019-03-15", "title": "Enabling Spike-based Backpropagation for Training Deep Neural Network Architectures", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@kaushik-roy", "date": "2026-09-05", "title": "Kaushik Roy on alphaXiv", "publisher": "alphaXiv" }, { "url": "https://en.wikipedia.org/wiki/Kaushik_Roy_(engineer)", "date": "2026-09-05", "title": "Kaushik Roy (engineer)", "publisher": "Wikipedia" } ], "to": null, "from": null } ], "links": { "alphaxiv": "https://www.alphaxiv.org/@kaushik-roy" }, "image": "assets/people/kaushik-roy.jpg", "sources": [ { "url": "https://en.wikipedia.org/wiki/Kaushik_Roy_(engineer)", "date": "2026-09-05", "title": "Kaushik Roy (engineer)", "publisher": "Wikipedia" }, { "url": "https://www.alphaxiv.org/@kaushik-roy", "date": "2026-09-05", "title": "Kaushik Roy on alphaXiv", "publisher": "alphaXiv" } ], "image_license": { "file": "KaushikRoy.jpg", "license": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0", "author": "Npiegza", "credit": "Own work", "source_url": "https://commons.wikimedia.org/wiki/File:KaushikRoy.jpg", "fetched": "2026-09-05" } }, { "slug": "ken-goldberg", "name": "Ken Goldberg", "kind": "researcher", "wikipedia": "Ken_Goldberg", "bio": "Berkeley roboticist known for Dex-Net grasping and for the argument that 'good old-fashioned engineering' still matters against pure data scaling in robots.", "known_for": [ "Dex-Net", "Ambi Robotics" ], "roles": [ { "org_name": "UC Berkeley", "title": "Professor", "camp": "robot", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Ken_Goldberg", "date": "2026-09-04", "title": "Ken Goldberg", "publisher": "Wikipedia" } ] } ], "image": "assets/people/ken-goldberg.jpg", "sources": [], "image_license": { "file": "Ken_Goldberg_in_2026.jpg", "license": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0", "author": "Cmichel67", "credit": "Own work", "source_url": "https://commons.wikimedia.org/wiki/File:Ken_Goldberg_in_2026.jpg", "fetched": "2026-09-04" } }, { "slug": "kenneth-stanley", "name": "Kenneth Stanley", "kind": "researcher", "wikipedia": "Kenneth_Stanley", "bio": "Invented NEAT and novelty search and wrote Why Greatness Cannot Be Planned. Led open-endedness at OpenAI until 2022; joined Lila Sciences in March 2025 as SVP of open-endedness.", "known_for": [ "NEAT", "Novelty search", "Why Greatness Cannot Be Planned" ], "roles": [ { "org": "lila-sciences", "title": "SVP of open-endedness", "camp": "rl", "from": "2025-03", "to": null, "sources": [ { "url": "https://www.lila.ai/team/kenneth-stanley", "date": "2026-09-04", "title": "Kenneth Stanley, PhD | Lila", "publisher": "Lila Sciences" }, { "url": "https://x.com/kenneth0stanley/status/1899128294278369779", "date": "2025-03-10", "title": "Kenneth Stanley: joined Lila Sciences as SVP of Open-Endedness", "publisher": "X" } ] }, { "org": "openai", "title": "Led open-endedness team", "camp": "rl", "from": null, "to": "2022", "sources": [ { "url": "https://www.lila.ai/team/kenneth-stanley", "date": "2026-09-04", "title": "Kenneth Stanley, PhD | Lila", "publisher": "Lila Sciences" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "kevin-ellis", "name": "Kevin Ellis", "kind": "researcher", "wikipedia": null, "bio": "Cornell professor and lead author of DreamCoder, the program-synthesis system that learns a library of reusable concepts. The academic core of the program-synthesis wing.", "known_for": [ "DreamCoder" ], "roles": [ { "org_name": "Cornell University", "title": "Assistant professor", "camp": "alt", "from": null, "to": null, "sources": [ { "url": "https://www.cs.cornell.edu/~ellisk/", "date": "2026-09-04", "title": "Kevin Ellis, Cornell University", "publisher": "Cornell" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "kevin-g-yager", "name": "Kevin G. Yager", "kind": "researcher", "featured": false, "roles": [ { "org_name": "Brookhaven National Laboratory", "title": "Group leader", "camp": "phys", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/2604.05960", "date": "2026-04-07", "title": "A Mixture of Experts Foundation Model for Scanning Electron Microscopy Image Analysis", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@kevin-g-yager", "date": "2026-09-05", "title": "Kevin G. Yager on alphaXiv", "publisher": "alphaXiv" } ] } ], "known_for": [ "A Mixture of Experts Foundation Model for Scanning Electron Microscopy Image Analysis (2026)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@kevin-g-yager" }, "sources": [ { "url": "https://www.alphaxiv.org/@kevin-g-yager", "date": "2026-09-05", "title": "Kevin G. Yager on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "khurram-javed", "name": "Khurram Javed", "kind": "researcher", "wikipedia": null, "bio": "Sutton's former student and co-author on continual learning and the big-world hypothesis. Left Keen with Sutton to co-found Oak Lab.", "known_for": [ "Big-world hypothesis", "Oak Lab" ], "roles": [ { "org": "oak-lab", "title": "Co-founder", "camp": "rl", "from": "2026-07", "to": null, "sources": [ { "url": "https://betakit.com/ai-pioneer-richard-sutton-founds-new-research-lab/", "date": "2026-07-14", "title": "AI pioneer Richard Sutton founds new research lab", "publisher": "BetaKit" }, { "url": "https://the-decoder.com/turing-award-winner-rich-sutton-founds-oak-lab-to-build-ai-agents-that-learn-on-their-own/", "date": "2026-07-13", "title": "Rich Sutton founds Oak Lab to build AI agents that learn on their own", "publisher": "The Decoder" } ] }, { "org": "keen-technologies", "title": "Research scientist", "camp": "rl", "from": null, "to": "2026-07", "sources": [ { "url": "https://betakit.com/ai-pioneer-richard-sutton-founds-new-research-lab/", "date": "2026-07-14", "title": "AI pioneer Richard Sutton founds new research lab", "publisher": "BetaKit" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "koji-tsuda", "name": "Koji Tsuda", "kind": "researcher", "featured": false, "roles": [ { "org_name": "University of Tokyo", "title": "Professor", "camp": "phys", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/2606.15522", "date": "2026-06-14", "title": "NIMO: A Software Platform for Closed-Loop Materials Exploration with Diverse AI Algorithms", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@koji-tsuda", "date": "2026-09-05", "title": "Koji Tsuda on alphaXiv", "publisher": "alphaXiv" } ] } ], "known_for": [ "NIMO: A Software Platform for Closed-Loop Materials Exploration with Diverse AI Algorithms (2026)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@koji-tsuda" }, "sources": [ { "url": "https://www.alphaxiv.org/@koji-tsuda", "date": "2026-09-05", "title": "Koji Tsuda on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "koray-kavukcuoglu", "name": "Koray Kavukcuoglu", "kind": "researcher", "wikipedia": null, "bio": "DeepMind's long-time technology chief, appointed Google's first chief AI architect in June 2025 to push Gemini into every product. Studied under LeCun at NYU.", "known_for": [ "Gemini", "AlphaGo infrastructure" ], "roles": [ { "org": "google-deepmind", "title": "Chief AI architect, Google; CTO, Google DeepMind", "camp": "llm", "from": "2025-06", "to": null, "sources": [ { "url": "https://www.cnbc.com/2025/06/11/google-kavukcuoglu-chief-ai-architect.html", "date": "2025-06-11", "title": "https://www.cnbc.com/2025/06/11/google-kavukcuoglu-chief-ai-architect.html", "publisher": "CNBC" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "koushil-sreenath", "name": "Koushil Sreenath", "kind": "researcher", "featured": false, "roles": [ { "org_name": "UC Berkeley", "title": "Associate professor", "camp": "robot", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/2410.11825", "date": "2024-10-15", "title": "Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@koushil-sreenath", "date": "2026-09-05", "title": "Koushil Sreenath on alphaXiv", "publisher": "alphaXiv" } ] } ], "known_for": [ "Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies (2024)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@koushil-sreenath" }, "sources": [ { "url": "https://www.alphaxiv.org/@koushil-sreenath", "date": "2026-09-05", "title": "Koushil Sreenath on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "koustuv-sinha", "name": "Koustuv Sinha", "kind": "researcher", "featured": false, "roles": [ { "org": "meta", "title": "Research scientist", "camp": "wm", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/2603.14482", "date": "2026-03-15", "title": "V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@koustuv-sinha", "date": "2026-09-05", "title": "Koustuv Sinha on alphaXiv", "publisher": "alphaXiv" } ] } ], "known_for": [ "V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning (2026)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@koustuv-sinha" }, "sources": [ { "url": "https://www.alphaxiv.org/@koustuv-sinha", "date": "2026-09-05", "title": "Koustuv Sinha on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "kristin-persson", "name": "Kristin Persson", "kind": "researcher", "wikipedia": "Kristin_Persson", "bio": "Berkeley professor who founded the Materials Project, the open database of computed material properties that most AI-for-materials work trains on.", "known_for": [ "Materials Project" ], "roles": [ { "org_name": "UC Berkeley and Lawrence Berkeley National Laboratory", "title": "Professor; director, Materials Project", "camp": "phys", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Kristin_Persson", "date": "2026-09-05", "title": "Kristin Persson", "publisher": "Wikipedia" } ] } ], "image": "assets/people/kristin-persson.jpg", "sources": [], "image_license": { "file": "KristinPersson.jpg", "license": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0", "author": "Adam Schwartzberg", "credit": "it was given to me by a friend who took the picture of me", "source_url": "https://commons.wikimedia.org/wiki/File:KristinPersson.jpg", "fetched": "2026-09-05" } }, { "slug": "kyle-cranmer", "name": "Kyle Cranmer", "kind": "researcher", "wikipedia": "Kyle_Cranmer", "bio": "Physicist who helped find the Higgs boson and then built simulation-based inference: using learned models to do statistics where the simulator is the theory. Directs the Data Science Institute at Wisconsin.", "known_for": [ "Simulation-based inference", "Higgs discovery statistics" ], "roles": [ { "org_name": "University of Wisconsin-Madison", "title": "Professor; director, Data Science Institute", "camp": "phys", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Kyle_Cranmer", "date": "2026-09-05", "title": "Kyle Cranmer", "publisher": "Wikipedia" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "lerrel-pinto", "name": "Lerrel Pinto", "kind": "researcher", "featured": false, "roles": [ { "org_name": "New York University and Meta Superintelligence Labs", "title": "Assistant professor", "camp": "wm", "sources": [ { "url": "https://arxiv.org/abs/2411.04983", "date": "2024-11-07", "title": "DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@lerrel-pinto", "date": "2026-09-05", "title": "Lerrel Pinto on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning (2024)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@lerrel-pinto" }, "sources": [ { "url": "https://www.alphaxiv.org/@lerrel-pinto", "date": "2026-09-05", "title": "Lerrel Pinto on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "leslie-kaelbling", "name": "Leslie Kaelbling", "kind": "researcher", "wikipedia": "Leslie_P._Kaelbling", "bio": "MIT professor who wrote the foundational reinforcement-learning survey and works on robots that plan with learned models. Founding editor of the Journal of Machine Learning Research.", "known_for": [ "POMDPs", "Task and motion planning" ], "roles": [ { "org_name": "MIT", "title": "Professor", "camp": "robot", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Leslie_P._Kaelbling", "date": "2026-09-05", "title": "Leslie P. Kaelbling", "publisher": "Wikipedia" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "liam-fedus", "name": "Liam Fedus", "kind": "researcher", "wikipedia": "Liam_Fedus", "bio": "Former OpenAI vice president of research for post-training. 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Co-founded CuspAI in 2024 to generate materials for carbon capture.", "known_for": [ "Variational autoencoder", "CuspAI" ], "roles": [ { "org": "cuspai", "title": "Co-founder", "camp": "phys", "from": "2024", "to": null, "sources": [ { "url": "https://siliconangle.com/2026/07/20/ai-materials-science-startup-cuspai-raises-450m-funding/", "date": "2026-07-20", "title": "AI materials science startup CuspAI raises $450M in funding", "publisher": "SiliconANGLE" } ] }, { "org_name": "University of Amsterdam", "title": "Professor", "camp": "phys", "from": null, "to": null, "sources": [ { "url": "https://siliconangle.com/2026/07/20/ai-materials-science-startup-cuspai-raises-450m-funding/", "date": "2026-07-20", "title": "AI materials science startup CuspAI raises $450M in funding", "publisher": "SiliconANGLE" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "melanie-mitchell", "name": "Melanie Mitchell", "kind": "researcher", "wikipedia": "Melanie_Mitchell", "bio": "Santa Fe Institute professor who studies abstraction and analogy and is the most careful public skeptic of claims that language models reason. 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Jordan", "kind": "researcher", "wikipedia": "Michael_I._Jordan", "bio": "Berkeley statistician whose students run half the field. Argues that what is called AI is a collective, economic system of prediction and markets rather than a disembodied intelligence, and that the race to build one is the wrong frame. Sides with no camp.", "known_for": [ "Variational inference", "Latent Dirichlet allocation", "'Intelligence is collective, not artificial'" ], "roles": [ { "org_name": "UC Berkeley and Inria", "title": "Professor", "camp": "none", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Michael_I._Jordan", "date": "2026-09-05", "title": "Michael I. 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Canada Research Chair at the University of Alberta, applying continual reinforcement learning to prosthetics and rehabilitation.", "known_for": [ "Alberta Plan", "Bionic limbs with RL" ], "roles": [ { "org": "amii", "title": "Professor, University of Alberta; Amii fellow", "camp": "rl", "from": null, "to": null, "sources": [ { "url": "https://www.amii.ca/people/patrick-m-pilarski", "date": "2026-09-04", "title": "Patrick M. 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Steered the company from research lab to the GPT and o-series product line and to a confidential IPO filing in June 2026.", "known_for": [ "ChatGPT", "OpenAI IPO filing" ], "roles": [ { "org": "openai", "title": "CEO", "camp": "llm", "from": "2019-03", "to": null, "sources": [ { "url": "https://techcrunch.com/2026/06/08/following-anthropic-openai-files-confidentially-for-ipo/", "date": "2026-06-08", "title": "OpenAI files confidentially for IPO, following Anthropic", "publisher": "TechCrunch" } ] } ], "image": "assets/people/sam-altman.jpg", "sources": [], "image_license": { "file": "Meeting_with_Masayoshi_Son_and_Sam_Altman_(February_3,_2025)_(3x4_cropped_on_Altman).jpg", "license": "CC BY 4.0", "license_url": "https://creativecommons.org/licenses/by/4.0", "author": "首相官邸ホームページ / Office of the Prime Minister of Japan Official Website", "credit": "https://www.kantei.go.jp/jp/103/actions/202502/03menkai.html", "source_url": "https://commons.wikimedia.org/wiki/File:Meeting_with_Masayoshi_Son_and_Sam_Altman_(February_3,_2025)_(3x4_cropped_on_Altman).jpg", "fetched": "2026-09-04" } }, { "slug": "sam-rodriques", "name": "Sam Rodriques", "kind": "researcher", "wikipedia": null, "bio": "Neuroscientist who co-founded the nonprofit FutureHouse in 2023 to build AI scientists, then spun out Edison Scientific in 2025 and runs both.", "known_for": [ "FutureHouse", "Kosmos" ], "roles": [ { "org": "edison-scientific", "title": "Co-founder and CEO", "camp": "phys", "from": "2025-11", "to": null, "sources": [ { "url": "https://www.hpcwire.com/aiwire/2025/11/07/futurehouse-spins-out-edison-scientific-launches-kosmos-ai-for-research/", "date": "2025-11-07", "title": "FutureHouse spins out Edison Scientific, launches Kosmos AI for research", "publisher": "AIwire" } ] }, { "org": "futurehouse", "title": "Co-founder and CEO", "camp": "phys", "from": "2023", "to": null, "sources": [ { "url": "https://www.hpcwire.com/aiwire/2025/11/07/futurehouse-spins-out-edison-scientific-launches-kosmos-ai-for-research/", "date": "2025-11-07", "title": "FutureHouse spins out Edison Scientific, launches Kosmos AI for research", "publisher": "AIwire" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "sanja-fidler", "name": "Sanja Fidler", "kind": "researcher", "wikipedia": "Sanja_Fidler", "bio": "Computer vision researcher who ran NVIDIA's Spatial Intelligence Lab, the group behind its Cosmos world model, while a professor at the University of Toronto and a co-founder of the Vector Institute. 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co-founder, Vector Institute", "camp": "wm", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Sanja_Fidler", "date": "2026-09-05", "title": "Sanja Fidler", "publisher": "Wikipedia" } ] } ], "image": "assets/people/sanja-fidler.jpg", "sources": [ { "url": "https://en.wikipedia.org/wiki/Sanja_Fidler", "date": "2026-09-05", "title": "Sanja Fidler", "publisher": "Wikipedia" } ], "image_license": { "file": "Sanja_Fidler_at_\"ALL_IN\"_2025_02.jpg", "license": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0", "author": "Gabriel Hutchinson", "credit": "Own work", "source_url": "https://commons.wikimedia.org/wiki/File:Sanja_Fidler_at_%22ALL_IN%22_2025_02.jpg", "fetched": "2026-09-05" } }, { "slug": "sara-hooker", "name": "Sara Hooker", "kind": "researcher", "wikipedia": "Sara_Hooker", "bio": "Ran Cohere For AI, Cohere's research lab, then founded Adaption Labs in 2025 on the thesis that smaller models which learn on the fly beat larger frozen ones.", "known_for": [ "Cohere For AI", "Adaption Labs" ], "roles": [ { "org": "adaption-labs", "title": "Co-founder and CEO", "camp": "rl", "from": "2025", "to": null, "sources": [ { "url": "https://fortune.com/2026/02/04/adaption-labs-50-million-seed-funding-emergence-captial-sara-hooker-sudip-roy-ai-models-that-learn-on-the-fly/", "date": "2026-02-04", "title": "Adaption Labs secures $50 million seed round to build AI models that can change on the fly", "publisher": "Fortune" } ] }, { "org": "cohere", "title": "VP of research; 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His xLSTM (2024) is a recurrent architecture pitched as a transformer replacement, commercialized through NXAI in Linz.", "known_for": [ "LSTM", "xLSTM" ], "roles": [ { "org_name": "Johannes Kepler University Linz", "title": "Professor", "camp": "alt", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Sepp_Hochreiter", "date": "2026-09-05", "title": "Sepp Hochreiter", "publisher": "Wikipedia" } ] }, { "org_name": "NXAI", "title": "Co-founder; chief scientist", "camp": "alt", "from": "2024", "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Sepp_Hochreiter", "date": "2026-09-05", "title": "Sepp Hochreiter", "publisher": "Wikipedia" } ] } ], "image": "assets/people/sepp-hochreiter.jpg", "sources": [], "image_license": { "file": "Sepp_Hochreiter_-_Buch_Wien_2025.JPG", "license": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0", "author": "C.Stadler/Bwag", "credit": "Own work", "source_url": "https://commons.wikimedia.org/wiki/File:Sepp_Hochreiter_-_Buch_Wien_2025.JPG", "fetched": "2026-09-05" } }, { "slug": "sergei-v-kalinin", "name": "Sergei V. Kalinin", "kind": "researcher", "featured": false, "roles": [ { "org_name": "University of Tennessee, Knoxville and PNNL", "title": "Professor; chief scientist, AI/ML for physical sciences", "camp": "phys", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/2402.00071", "date": "2024-01-30", "title": "Unraveling the Impact of Initial Choices and In-Loop Interventions on Learning Dynamics in Autonomous Scanning Probe Microscopy", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@sergei-v-kalinin", "date": "2026-09-05", "title": "Sergei V. Kalinin on alphaXiv", "publisher": "alphaXiv" } ] } ], "known_for": [ "Unraveling the Impact of Initial Choices and In-Loop Interventions on Learning Dynamics in Autonomous Scanning Probe Microscopy (2024)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@sergei-v-kalinin" }, "sources": [ { "url": "https://www.alphaxiv.org/@sergei-v-kalinin", "date": "2026-09-05", "title": "Sergei V. Kalinin on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "sergey-levine", "name": "Sergey Levine", "kind": "researcher", "wikipedia": "Sergey_Levine", "bio": "Berkeley professor whose lab established deep reinforcement learning for robots. Co-founded Physical Intelligence in 2024. Argues that robots should learn from their own deployment data, which puts him close to the experience camp.", "known_for": [ "Deep RL for robotics", "pi0" ], "roles": [ { "org": "physical-intelligence", "title": "Co-founder", "camp": "robot", "from": "2024", "to": null, "sources": [ { "url": "https://www.bloomberg.com/news/articles/2025-11-20/robotics-startup-physical-intelligence-valued-at-5-6-billion-in-new-funding", "date": "2025-11-20", "title": "Robotics startup Physical Intelligence valued at $5.6 billion in new funding", "publisher": "Bloomberg" } ] }, { "org_name": "UC Berkeley", "title": "Professor", "camp": "robot", "from": null, "to": null, "sources": [ { "url": "https://www.bloomberg.com/news/articles/2025-11-20/robotics-startup-physical-intelligence-valued-at-5-6-billion-in-new-funding", "date": "2025-11-20", "title": "Robotics startup Physical Intelligence valued at $5.6 billion in new funding", "publisher": "Bloomberg" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "sham-kakade", "name": "Sham Kakade", "kind": "researcher", "wikipedia": "Sham_Kakade", "bio": "Harvard professor and co-director of the Kempner Institute, whose work spans the theory of reinforcement learning and, lately, the empirical science of scaling: which optimizers, precisions and self-improvement loops actually move the loss curve. One of the few theorists both camps 1 and 4 cite.", "known_for": [ "Kempner Institute", "Scaling laws for precision", "Policy gradient theory" ], "roles": [ { "org_name": "Harvard University", "title": "Professor; co-director, Kempner Institute", "camp": "llm", "sources": [ { "url": "https://arxiv.org/abs/2412.02674", "date": "2024-12-03", "title": "Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@sham-m-kakade", "date": "2026-09-05", "title": "Sham Kakade on alphaXiv", "publisher": "alphaXiv" }, { "url": "https://en.wikipedia.org/wiki/Sham_Kakade", "date": "2026-09-05", "title": "Sham Kakade", "publisher": "Wikipedia" } ], "to": null, "from": null } ], "links": { "alphaxiv": "https://www.alphaxiv.org/@sham-m-kakade" }, "image": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Sham_Kakade", "date": "2026-09-05", "title": "Sham Kakade", "publisher": "Wikipedia" }, { "url": "https://www.alphaxiv.org/@sham-m-kakade", "date": "2026-09-05", "title": "Sham Kakade on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "shane-legg", "name": "Shane Legg", "kind": "researcher", "wikipedia": "Shane_Legg", "bio": "Co-founded DeepMind in 2010 and is its chief AGI scientist. Coined the term artificial general intelligence in its current usage and has argued since the 2000s that it was decades, not centuries, away.", "known_for": [ "DeepMind co-founder", "Definition of AGI" ], "roles": [ { "org": "google-deepmind", "title": "Co-founder; chief AGI scientist", "camp": "llm", "from": "2010", "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Shane_Legg", "date": "2026-09-05", "title": "Shane Legg", "publisher": "Wikipedia" } ] } ], "image": "assets/people/shane-legg.jpg", "sources": [], "image_license": { "file": "Shane_Legg.jpg", "license": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0", "author": "Libor.burian", "credit": "Own work", "source_url": "https://commons.wikimedia.org/wiki/File:Shane_Legg.jpg", "fetched": "2026-09-05" } }, { "slug": "shanghang-zhang", "name": "Shanghang Zhang", "kind": "researcher", "featured": false, "roles": [ { "org_name": "Peking University", "title": "Assistant professor", "camp": "robot", "sources": [ { "url": "https://arxiv.org/abs/2603.15618", "date": "2026-03-16", "title": "Look Before Acting: Enhancing Vision Foundation Representations for Vision-Language-Action Models", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@shanghang-zhang", "date": "2026-09-05", "title": "Shanghang Zhang on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "Look Before Acting: Enhancing Vision Foundation Representations for Vision-Language-Action Models (2026)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@shanghang-zhang" }, "sources": [ { "url": "https://www.alphaxiv.org/@shanghang-zhang", "date": "2026-09-05", "title": "Shanghang Zhang on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "shuiwang-ji", "name": "Shuiwang Ji", "kind": "researcher", "featured": false, "roles": [ { "org_name": "Texas A&M University", "title": "Professor", "camp": "phys", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/2510.09901", "date": "2025-10-10", "title": "Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@shuiwang-ji-professor-and-truchard-family-chair", "date": "2026-09-05", "title": "Shuiwang Ji on alphaXiv", "publisher": "alphaXiv" } ] } ], "known_for": [ "Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics (2025)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@shuiwang-ji-professor-and-truchard-family-chair" }, "sources": [ { "url": "https://www.alphaxiv.org/@shuiwang-ji-professor-and-truchard-family-chair", "date": "2026-09-05", "title": "Shuiwang Ji on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "shumeet-baluja", "name": "Shumeet Baluja", "kind": "researcher", "wikipedia": null, "bio": "Former Google DeepMind researcher; co-founded Poetiq in 2025 and co-runs it with Ian Fischer.", "known_for": [ "Poetiq" ], "roles": [ { "org": "poetiq", "title": "Co-founder and co-CEO", "camp": "alt", "from": "2025-06", "to": null, "sources": [ { "url": "https://siliconangle.com/2026/01/30/poetiq-nabs-45-8m-seed-funding-llm-enhancing-meta-system/", "date": "2026-01-30", "title": "Poetiq nabs $45.8M in seed funding for its LLM-enhancing ‘meta-system’", "publisher": "SiliconANGLE" } ] } ], "image": null, "sources": [], "image_license": null }, { "slug": "shuran-song", "name": "Shuran Song", "kind": "researcher", "featured": false, "roles": [ { "org_name": "Stanford University", "title": "Assistant professor", "camp": "robot", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/2508.12252", "date": "2025-08-17", "title": "Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@shuran-song", "date": "2026-09-05", "title": "Shuran Song on alphaXiv", "publisher": 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"https://www.alphaxiv.org/@siddhartha-mishra" }, "sources": [ { "url": "https://www.alphaxiv.org/@siddhartha-mishra", "date": "2026-09-05", "title": "Siddhartha Mishra on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "simon-kohl", "name": "Simon Kohl", "kind": "researcher", "featured": false, "roles": [ { "org": "latent-labs", "title": "Founder and CEO", "camp": "phys", "from": null, "to": null, "sources": [ { "url": "https://arxiv.org/abs/2409.08022", "date": "2024-09-12", "title": "De novo design of high-affinity protein binders with AlphaProteo", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@simon-kohl", "date": "2026-09-05", "title": "Simon Kohl on alphaXiv", "publisher": "alphaXiv" } ] } ], "known_for": [ "De novo design of high-affinity protein binders with AlphaProteo (2024)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@simon-kohl" }, "sources": [ { "url": "https://www.alphaxiv.org/@simon-kohl", "date": "2026-09-05", "title": "Simon Kohl on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "siyuan-huang", "name": "Siyuan Huang", "kind": "researcher", "featured": false, "roles": [ { "org_name": "Beijing Institute for General Artificial Intelligence", "title": "Director, Center of Embodied AI and Robotics", "camp": "robot", "sources": [ { "url": "https://arxiv.org/abs/2606.07100", "date": "2026-06-05", "title": "LARA: Latent Action Representation Alignment for Vision-Language-Action Models", "publisher": "arXiv" }, { "url": "https://www.alphaxiv.org/@siyuan-huang", "date": "2026-09-05", "title": "Siyuan Huang on alphaXiv", "publisher": "alphaXiv" } ], "to": null, "from": null } ], "known_for": [ "LARA: Latent Action Representation Alignment for Vision-Language-Action Models (2026)" ], "links": { "alphaxiv": "https://www.alphaxiv.org/@siyuan-huang" }, "sources": [ { "url": "https://www.alphaxiv.org/@siyuan-huang", "date": "2026-09-05", "title": "Siyuan Huang on alphaXiv", "publisher": "alphaXiv" } ], "image_license": null }, { "slug": "stuart-russell", "name": "Stuart Russell", "kind": "researcher", "wikipedia": "Stuart_J._Russell", "bio": "Co-author of the standard AI textbook and founder of Berkeley's Center for Human-Compatible AI. Argues that the field should build systems that are uncertain about human objectives, a design constraint that cuts across every camp rather than a bet on one.", "known_for": [ "Artificial Intelligence: A Modern Approach", "Human Compatible (2019)" ], "roles": [ { "org_name": "UC Berkeley", "title": "Professor; director, Center for Human-Compatible AI", "camp": "none", "from": null, "to": null, "sources": [ { "url": "https://en.wikipedia.org/wiki/Stuart_J._Russell", "date": "2026-09-05", "title": "Stuart J. Russell", "publisher": "Wikipedia" } ] } ], "image": null, "sources": [], "argues_for": { "camp": "none", "summary": "Build systems that stay uncertain about human objectives; a design constraint that cuts across every camp.", "sources": [ { "url": "https://en.wikipedia.org/wiki/Stuart_J._Russell", "date": "2026-09-05", "title": "Stuart J. 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