Triadic geometric training data and architecture replaces RLHF
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Stephen Wicklund is a Software Developer and Database Engineer on the Society Library’s executive/core team.
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Eli Bingham is a co-founder and director of Basis Research Institute and a machine learning fellow in the Data Sciences Platform at the Broad Institute of MIT and Harvard. He is a co-creator and core developer of the Pyro probabilistic programming language and previously worked as a senior research scientist at Uber AI Labs. His research sits at the intersection of probabilistic machine learning, programming languages, and biology, with an emphasis on turning research into robust open-source software.
Cillian Crosson is the executive director of the Tarbell Center for AI Journalism, a nonprofit that supports journalism about artificial intelligence and runs the Tarbell Fellowship, a year-long programme that provides training, stipends and newsroom placements for journalists covering AI.
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Principal at Lionheart Ventures working on investments related to psychedelic therapeutics and frontier mental health, and a speaking faculty member at conferences such as the Psychedelic Therapeutics and Drug Development Conference.
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Philosopher and cognitive scientist whose work uses conceptual analysis, theoretical model building, and empirical methods to address fundamental questions about human cognition and how people think, including predictive-processing perspectives on contemplative and altered states of consciousness.
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Six-month support for a Program Manager to organize and execute international AI safety hackathons with Apart Research
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General support of research led by John Wentworth
4-month salary to work on a project finding the most interpretable directions in gpt2-small's early residual stream
Luisa Rodriguez is a research analyst and podcast host at 80,000 Hours, where she co‑hosts The 80,000 Hours Podcast. Previously she researched civilisational collapse at the Forethought Foundation for Global Priorities Research and nuclear risk at Rethink Priorities and as a visiting researcher at Oxford’s Future of Humanity Institute. Before moving into existential risk and global priorities, she worked on cost‑effectiveness analysis of nonprofit and government programmes at organisations including ImpactMatters, Innovations for Poverty Action, and GiveWell.
Do ACE-style cost-effectivness analysis of technical AI safety orgs.
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Marieke de Visscher has been involved with Effective Altruism Netherlands for more than seven years, first as a volunteer and board member and later as co-director, helping to build the organisation from an all-volunteer group into a staffed nonprofit.
Cognitive scientist who obtained a PhD from the Graduate School of Systemic Neurosciences at LMU Munich, worked on the sense of agency and related topics as a postdoc at the Max Planck Institute for Human Cognitive and Brain Sciences and LMU, and has broader interests at the intersection of science and philosophy.
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AI Futures Project
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Independent collective. Φ-Arena open benchmark, 3 ICLR 2027 papers (Φ-Arena, mechinterp, energy-bounded) — kickstart for a 10-year program.
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Michael A. Osborne is Professor of Machine Learning at the University of Oxford, where he leads the Bayesian Exploration Lab, directs the EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems, and serves as an Official Fellow of Exeter College. He is Co-Director of the Oxford Martin AI Governance Initiative and co-founder of the AI company Mind Foundry, and his research spans Bayesian optimisation, Gaussian processes, probabilistic numerics and the broader societal impacts of machine learning and AI governance.
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Soren Dayton is director of the American Governance Policy team at the Foundation for American Innovation, where he leads work to strengthen U.S. governing institutions. He has spent two decades at the intersection of politics and policy, including directing governance initiatives at the Niskanen Center and Protect Democracy, serving as a congressional staffer, and working on high-profile Republican campaigns and political organizations.
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Co‑founder and head of research at the Centre pour la Sécurité de l’IA (CeSIA), where he leads the BELLS project on benchmarking large language model safeguards. His background is in AI interpretability, with work on mechanistic interpretability and language model analysis presented at top machine‑learning conferences.
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Prediction market guy!
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Finance professional
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David Timis is a keynote speaker focused on the impact of AI on the future of work and serves as Global Communications & Public Affairs Manager at Generation, where he oversees global storytelling and EU-level advocacy while speaking and writing regularly on AI, skills, and labour markets.
Founder of the AI Whistleblower Initiative, Karl has been involved in responsible AI since 2016, beginning as a volunteer researcher at the Future of Humanity Institute. He later worked as a management consultant and founded a SaaS business that was acquired in 2023.
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