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Egor Krasheninnikov
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Geoffrey Miller is an evolutionary psychologist and associate professor of psychology at the University of New Mexico. He is known for his research on sexual selection and human nature and for books such as The Mating Mind and Spent, and in recent years he has become an active public commentator on AI risk and other existential threats.
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Funding to hire a junior researcher on a 3-5 month contract to help launch projects tackling existential risk
Effective altruist, earning to give running a crypto fund. Very concerned with animal welfare and longtermism and their intersection. Ex-poker player and chemisty PhD student.
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6-month salary to skill up and gain experience to start working on AI safety full-time
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Travis Moore is the Founder and Executive Director of TechCongress, a nonpartisan nonprofit that recruits, trains, and places technologists in Congress through the Congressional Innovation Fellowship and related programs. He previously spent six years on Capitol Hill as Legislative Director to Rep. Henry A. Waxman, former chair of the House Energy and Commerce Committee, where he focused on technology policy. Moore launched initiatives including Congress’s first digital communications training program, its first Congressional staff conference, and the Congressional Digital Service Fellowship, and he co‑founded #CongressToo, a network of former Congressional staffers that helped bring the #MeToo movement to Capitol Hill. He holds a BS in Marketing from Miami University (OH) and a master’s degree in Contemporary European Politics from the University of Bath.
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Epoch AI is a nonprofit research institute that tracks and forecasts the trajectory of artificial intelligence by analyzing trends in compute, data, algorithmic efficiency, and capabilities. It produces leading databases and quantitative models to help policymakers, researchers, and funders understand the pace and impact of AI progress.
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Kai Sandbrink is a DPhil candidate in computational cognitive neuroscience at the University of Oxford's Department of Experimental Psychology, based at Lady Margaret Hall. He is co-supervised by Professor Christopher Summerfield at Oxford and Professor Wulfram Gerstner at EPFL, where he is also an invited guest researcher. Prior to Oxford, he completed an MS in Neural Systems and Computation at ETH Zurich and an MA in China Studies at Peking University. His research uses deep reinforcement learning as a task-driven model of human behavior, with a focus on learning dynamics, cognitive flexibility, and exploration-exploitation trade-offs. His AI-safety-relevant work includes improving deep learning's understanding of uncertainty and designing safer, more interpretable reward functions for reinforcement learning algorithms. He is an affiliate at Concordia AI and has an interest in East-West cooperation on AI safety and governance. He received a Long-Term Future Fund grant in 2021 for starting funds and moving costs related to his DPhil project.
Funding to hire an in-house entrepreneur on a 12 month contract to investigate a space within existential risk and then found an impactful project
Second-year AI student at Inland Norway University of Applied Sciences, currently on exchange at UC Berkeley. I build ML systems and research-agent tools focused on deployment optimization, LLM serving, reproducibility, and reliable autonomous experimentation.
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James Payor is an independent AI alignment researcher based in Australia. He worked as Research Staff at the Machine Intelligence Research Institute (MIRI) in Berkeley from January 2018 to April 2022, and has since been pursuing independent AI alignment research. Before MIRI, he was co-founder and CTO of Draftable, a document comparison software company based in Melbourne, from 2015 to 2017. His research focuses on agent foundations, proof-based cooperation, corrigibility, and building AI systems that maintain robust alignment with human input. He is notable for developing a method for proof-based cooperation that does not require Löb's theorem, and has published work on modal fixpoint cooperation on the AI Alignment Forum. More recently he has been working on better foundations for theorem proving, computer-assisted mathematics, and dependently-typed programming languages. In his youth he represented Australia at the 2013 International Olympiad in Informatics, earning a silver medal.
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David Duvenaud is an Associate Professor at the University of Toronto and Canada CIFAR AI Chair whose research spans machine learning, AI safety and AI governance. He co-directs the Schwartz Reisman Institute for Technology and Society, co-founded the Vector Institute for Artificial Intelligence, and previously led the Alignment Evaluations team at Anthropic. He also serves as a director of The AI Safety Foundation and has advised AI companies such as Cohere.
Building a CPU-native AI architecture where meaning is geometric position, not statistical prediction. 27 experiments completed, 5 papers in draft.
Guide Labs builds interpretable AI systems and foundation models that humans can reliably understand, audit, and steer. Their flagship model, Steerling-8B, is the first inherently interpretable large language model at scale.
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Pooja Tope-Puranik is an AI researcher and machine learning engineer working primarily in healthcare, specializing in early breast cancer detection with AI; she has held ML roles at organizations such as Omdena and AI Directions and serves as a UAE ambassador for women-in-tech communities, promoting women’s participation in STEM.
4 months of stipend for MATS extension work in London studying the safety implications of LLM self-recognition
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AXRP is a podcast hosted by Daniel Filan featuring in-depth interviews with AI safety researchers about their published work and how it might reduce the risk of AI causing an existential catastrophe.
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Oregon State University is a public research university in Corvallis, Oregon, whose hardware security research group contributed to AI compute governance through the Survival and Flourishing Fund's FlexHEG (Flexible Hardware-Enabled Guarantees) program.
Independent research and upskilling for one year, to transition from academic philosophy to AI alignment research
Fund unique approaches to research, field diversification, and scouting of novel ideas by experienced researchers supported by PIBBSS research team
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Early-stage work on a small internal-control layer that tracks instability in LLM reasoning and switches between SAFE / WARN / BREAK modes.
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Christine A. Parlour is Professor of Finance and the Sylvan C. Coleman Chair in Finance and Accounting at Berkeley Haas. Her research focuses on institutionally complex areas such as market microstructure, banking, payment systems, fintech, and decentralized finance, and she serves as co-director of the Berkeley Center for Responsible, Decentralized Intelligence (RDI).
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Kat Woods is President and co-founder of Nonlinear. She previously co-founded Charity Entrepreneurship, an Open Philanthropy-funded charity incubator that has launched numerous charities including Fortify Health, Fish Welfare Initiative, Family Empowerment Media, and Training for Good, and co-founded Charity Science Health, which helped vaccinate over 200,000 children in India and received multiple GiveWell grants.
New techniques to impose minimal structure on LLM internals for monitoring, intervention, and unlearning.
John Bridge is a legal researcher affiliated with the effective altruism community who received a grant from the Long-Term Future Fund to research the international viability of FHI's Windfall Clause, a policy proposal by the Future of Humanity Institute for AI developers to commit a portion of transformative AI profits to public benefit. At the time of his research, he identified as a law student. He wrote a sequence on the EA Forum titled "Towards a Worldwide, Watertight Windfall Clause" examining the legal enforceability of the Windfall Clause across seven common law jurisdictions. His published posts (May-June 2022) include analyses of inadequate contractual remedies and the challenges English law poses for good-faith obligations in AI governance agreements. He shelved the project in 2023 due to competing research demands. His work was acknowledged by Cullen O'Keefe and Haydn Bellfield, key figures in the GovAI and FHI Windfall Clause research.
Our mission is to inform and organize the public to confront societal-scale risks of AI, and put an end to the reckless race to develop superintelligent AI.
Rachel Shu is the Director of Mox, an AI safety community hub in San Francisco’s Mission District, where she focuses on venue operations and community-building for researchers, engineers, and policymakers working on high-stakes questions in technology. She also works on writing and documentary projects, including cinematography for the film “SB 1047: The Battle for the Future of AI” and an Open Philanthropy–funded documentary on high-impact COVID responses.
Jack Clark is a co-founder and Head of Public Benefit at Anthropic, where he leads work at the intersection of AI policy, governance, and public benefit, and he writes Import AI, a weekly newsletter on frontier AI research and its societal implications. He previously served as Policy Director at OpenAI and, before entering AI labs, worked as a technology journalist covering supercomputers, distributed systems, and neural networks for outlets including Bloomberg BusinessWeek and The Register, as well as helping found and co-chair the AI Index at Stanford and serving on national and international AI advisory bodies.
Geoffrey Hinton & Yoshua Bengio Interviews Secured, Funding Still Needed
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6-month budget to self-study ML and research the possible applications of a Neuro/CogScience perspective for AGI Safety
Rui Zhang is an Assistant Professor in the Computer Science and Engineering Department at Penn State University and a co-director of the Penn State Natural Language Processing Lab. His research focuses on trustworthy human-centered AI, LLM agents, and AI for science, and he has received recognitions including an NSF CAREER Award, a Senior Area Chair Paper Award at NAACL 2025, and an Outstanding Area Chair Award at EMNLP 2024. He is the principal investigator of an Open Philanthropy–funded project at Penn State to better mitigate sandbagging in AI models, studying behaviors such as exploration hacking and password-locking.
