President of Mozilla Foundation and longtime open internet activist focused on trustworthy AI, digital privacy, and the open web; previously led organizations such as the Commons Group and telecentre.org and now helps steer Mozilla’s investments in responsible tech startups and foundational open-source AI.

Managing Director at the Center on Long-Term Risk, where he leads work on reducing s-risks from powerful AI systems. Previously a researcher at CLR focusing on s-risk macrostrategy, he also led the community-building team and studied mathematics at the University of Cambridge and the University of Warwick.

Project manager at 1Day Sooner. Focused on biosecurity and policy.

Leads Lightcone Infrastructure, whose main product is LessWrong, a platform that has significantly shaped discussions on rationality, AGI risk, COVID-19, existential risk, and crypto compared with other similar communities.

Researcher, forecaster, and programmer based in Asunción, Paraguay, best known as a co-founder of Samotsvety. Which is one of the world's top superforecasting teams that won the CSET-Foretell competition by a substantial margin. He is co-founder and Head of Foresight at Sentinel, a nonprofit that publishes weekly early-warning briefs on global catastrophic risks by processing millions of news items and applying expert foresight. He previously worked at the Quantified Uncertainty Research Institute (QURI), where he built Metaforecast.org, an aggregator of prediction market data across platforms, and contributed to the Squiggle probabilistic programming language used for quantified uncertainty estimation. He runs Shapley Maximizers, an independent consultancy focused on estimation, evaluation, and impact auditing, and publishes a monthly forecasting newsletter with over 7,000 subscribers covering prediction markets and forecasting platforms. He has received funding from the Long-Term Future Fund for independent research on forecasting and optimal paths to improve the long-term future, and is active on the EA Forum, LessWrong, and the Alignment Forum under the handle NunoSempere.

Michael Aird is the AI Program Director at Longview Philanthropy, where he leads the organisation’s AI grantmaking. He previously served as an associate director at the RAND Center on AI, Security, and Technology, helped grow its predecessor to over 100 staff, and has been an affiliate at the Centre for the Governance of AI, an advisor and co-founder of the Institute for AI Policy and Strategy, a board member of the MATS Program, and a Research Scholar at the University of Oxford’s Future of Humanity Institute.

Founder and Vice President of Mozilla Data Collective, previously director of Mozilla’s Common Voice project, where they helped build the world’s largest open crowdsourced speech corpus spanning hundreds of languages and hundreds of thousands of contributors.

Michel Justen is the AI Grants Lead at the Tarbell Center for AI Journalism, an organization funded by Coefficient Giving (formerly Open Philanthropy), where he manages the center's reporting grants program. Previously, he was a 2024 Research Fellow at Pivotal Research, where he studied international AI governance and benefit-sharing — specifically how the US government might share financial or access benefits from advanced AI to unlock international safety agreements, mentored by Matthew van der Merwe and Max Dalton. Before that, he worked as an Events Associate at the Centre for Effective Altruism, running events including the Summit on Existential Security and the New Orleans Alignment Workshop, and co-founded and scaled the EA Opportunity Board. He also founded the EA student group at the University of Wisconsin–Madison, where he studied Neurobiology and Psychology. He received a Long-Term Future Fund grant to produce an animated video essay explaining how AI could accelerate AI R&D and the implications for AI governance. He writes on AI governance topics through his Substack newsletters 'What is this' and 'With (some) respect to AI.'

Investor @ Situational Awareness

Jesse Clifton is Grants Director at Macroscopic Ventures, where he leads the organization’s grantmaking after previously working on research and strategy at the Center on Long-Term Risk.

Co-founded Mechanize and Epoch AI

Independent writer and blogger based in NYC, best known for his Substack "Don't Worry About the Vase" (thezvi.substack.com). Which has over 32,000 subscribers and focuses primarily on AI developments, policy, and rationality. He holds a bachelor's degree in mathematics from Columbia University and was a professional Magic: The Gathering player, inducted into the Magic Hall of Fame in 2007. He previously co-founded and served as CEO of MetaMed, a medical research analysis firm, and has worked at Jane Street Capital. He is a board member of the Center for Applied Rationality and founded Balsa Research, a nonprofit policy think tank focused on evidence-based regulatory reform. His writing covers AI safety, AI policy, government regulation, economics, and strategic thinking, and he is a prominent figure in the rationalist community on LessWrong.

Lead of mech interp team at Google DeepMind

Co-Executive Director at MATS

Scott Alexander (Scott Alexander Siskind) is a psychiatrist and writer on the US West Coast best known for his blogs Slate Star Codex and its Substack successor Astral Codex Ten, where he writes long-form essays on reasoning, science, psychiatry, ethics, politics, and effective altruism. His blogs have become central venues for the rationalist and EA communities, and he has been widely cited and discussed in those circles. Clinically, he has practiced psychiatry at Lorien Psychiatry and previously at other US institutions, with a focus on treatment-resistant depression and related areas.

Loïc Watine is Director of EA Funds at the Centre for Effective Altruism, a role he took up in January 2026 after previously serving as Chief Research and Policy Officer at Innovations for Poverty Action.

AI safety researcher. PhD in Mathematics from UC Berkeley. Co-founded BERI and established SFF. Co-developer of the S-process algorithm.

Tyler John is the Program Director for Artificial Intelligence at the Effective Institutions Project, leading the organization’s AI initiatives. A seasoned grantmaker and researcher, he has advised philanthropists on more than $60 million in grants across AI safety, biosecurity, and peace and security, helped establish an international body at the OECD to consider transformative impacts of advanced AI, founded the first research institute focused on AI welfare at NYU, and holds a PhD in political philosophy from Rutgers University with fellowships at the NIH, the University of Oxford, and a visiting scholar role at the University of Cambridge’s Leverhulme Centre for the Future of Intelligence.

Anthony Aguirre is a theoretical cosmologist and physicist who holds the Faggin Presidential Chair for the Physics of Information at the University of California, Santa Cruz, where he has been a faculty member since 2003. He earned his PhD in Astronomy from Harvard University in 2000 and was subsequently a member at the Institute for Advanced Study in Princeton before joining UCSC. His research spans cosmological inflation, eternal inflation, early universe physics, quantum mechanics foundations, and the physics of information. He is a co-founder and President and CEO of the Future of Life Institute (FLI), an organization focused on steering transformative technologies—especially AI—toward beneficial outcomes and away from existential risks, which he co-founded in 2014 with Max Tegmark and Jaan Tallinn. He also co-founded the Foundational Questions Institute (FQXi), which supports research on foundational questions in physics and cosmology, and co-founded the prediction aggregation platform Metaculus in 2015. He is the author of the popular science book Cosmological Koans (W.W. Norton, 2019).

Co-founder and Director at Impact Academy with multiple board positions in the non-profit sector, co-founder of the migration-focused non-profit Nema Problema, prior experience as a consultant, and studies in law, developmental economics, and sustainability at Uppsala University, Yale University, and Cornell University.

Helen Toner is an Australian researcher and AI policy expert focused on artificial intelligence, national security, and US–China relations. She serves as the interim executive director at Georgetown University’s Center for Security and Emerging Technology (CSET), which she helped found in 2019, and previously worked as a senior research analyst at Open Philanthropy. Toner sat on the board of OpenAI from 2021 to 2023 and has been recognized as one of TIME’s 100 most influential people in AI.

CEO \u0026 co-founder at FAR AI, a trustworthy AI non-profit. PhD AI UC Berkeley 2022; LTFF fund manager 2020-2022

Director at SL5 Task Force, prev Research Lead at MIRI Technical Governance Team

COO of The AI Futures Project (the team that wrote AI 2027). All opinions expressed are my own, as are any grants.

CEO and co-founder of Apollo Research. An AI safety organization he co-founded in May 2023 that specializes in evaluating dangerous capabilities and deceptive behaviors in frontier AI models. He holds a PhD in Bayesian Machine Learning from the International Max-Planck Research School in Tübingen, as well as an M.Sc. in Machine Learning and dual B.Sc. degrees in Computer Science and Cognitive Science from the University of Tübingen. Prior to founding Apollo Research, he was a Research Fellow at Epoch AI (June 2022–April 2023), where he worked on AI forecasting. His research at Apollo focuses on scheming detection, AI control, and dangerous capability evaluations, and the organization collaborates with frontier labs including OpenAI and Anthropic as well as government bodies like the UK AI Security Institute. He serves as a mentor in the MATS program for AI safety researchers and became a Manifund regrantor in 2025. He was named to TIME's 100 Most Influential People in AI for 2025.

Executive and Research Director of the Center for AI Safety (CAIS). A nonprofit research organization based in San Francisco focused on reducing societal-scale risks from artificial intelligence. He received a B.S. from the University of Chicago in 2018 and a Ph.D. in Computer Science from UC Berkeley in 2022, advised by Dawn Song and Jacob Steinhardt. His research spans machine learning safety, robustness, out-of-distribution detection, and AI ethics. He is the primary author of the GELU activation function (2016), which is widely used in state-of-the-art models including BERT and GPT, and created the MMLU (Massive Multitask Language Understanding) benchmark (2020), one of the most widely used LLM evaluation benchmarks. He also co-developed the MATH benchmark, Humanity's Last Exam (HLE), and authored the 2024 textbook Introduction to AI Safety, Ethics, and Society. He serves as a safety advisor to xAI and Scale AI, both at nominal compensation, and has received early-career funding from EA-aligned organizations for his work on value learning and AI alignment benchmarks.

Independent AI safety researcher and philosopher. He grew up in Vietnam and New Zealand and studied computer science and philosophy at the University of Oxford (BA, 2017), then earned a master's degree in machine learning from the University of Cambridge (2018). He began a PhD in the philosophy of machine learning at Cambridge, examining parallels between AI development and human cognitive evolution, before leaving the program in 2021. He was a research engineer on the AGI safety team at DeepMind (2018-2020), with a prior internship at the Future of Humanity Institute at Oxford. From 2021 to November 2024 he worked as a research scientist on the governance team at OpenAI, focusing on forecasting AI capabilities and risks, before departing over concerns about the organization's direction. He is best known for the essay series "AGI Safety from First Principles" (2020), co-authoring "The Alignment Problem from a Deep Learning Perspective", and designing the widely-used AGI Safety Fundamentals curriculum. He is an active contributor to the AI Alignment Forum and LessWrong under the handle ricraz.

Co-founder and CEO of Manifund. An open and transparent charitable grant platform focused on AI safety and effective altruism causes. He previously co-founded Manifold Markets in 2021 alongside James and Stephen Grugett, a play-money prediction market platform that grew out of the EA and rationalist communities. Before founding Manifold, he worked as a Senior Software Engineer at Streamlit and as a software engineer at Google, and holds a degree from UC Berkeley. He stepped away from Manifold to launch Manifund, which operates a regranting program pairing domain experts with independent grant budgets to fund early-stage AI safety projects. Austin is active on LessWrong and the EA Forum, and also co-organizes Manifest, an annual forecasting conference held in the Bay Area.

Interpretability at Anthropic

David Coman-Hidy is President of The Navigation Fund, where he directs the fund’s charitable grantmaking. He brings more than a decade of experience in nonprofit advocacy, leadership, and philanthropy, including growing a major farm animal advocacy organization from a small grassroots group into an international force that improved the lives of tens of millions of animals. He holds a BS in Political Communication from Emerson College.

Building Manifund, Ran EA @ Tufts, where I also studied math.

Senior Researcher at Rethink Priorities working on existential security, previously involved in time-sensitive COVID-19 forecasting projects and earlier employed as a programmer at Impossible Foods and Google, as well as leading several effective altruism local groups.

Zach Freitas-Groff is an AI Program Officer at Longview Philanthropy, where he conducts grant investigations focused on artificial intelligence, digital sentience, and EU AI governance. He holds a PhD in economics from Stanford University (2018 cohort), where his research spanned public economics, political economy, and behavioral and experimental economics, advised by B. Douglas Bernheim, Matthew Gentzkow, Caroline Hoxby, and Ran Abramitzky. His dissertation work produced a systematic empirical investigation of policy persistence, tracking over 800 policies subject to close U.S. state referendums since 1900 and finding that passing a referendum increases the probability a policy remains operative 20 to 100 years later by over 40 percentage points. He is also a Research Affiliate at the Population Wellbeing Initiative at the University of Texas at Austin, and has previously worked as a Research Analyst at Innovations for Poverty Action and as a researcher at the Global Poverty Research Lab at Northwestern University. His research has been covered by The New York Times, Reuters, Marginal Revolution, and Vox. He received an early LTFF grant to fund research assistance gathering data on the persistence, expansion, and reversal of laws over five-plus decades, work that later formed part of his dissertation.

Researcher, writer, and co-founder of Arb Research, a consultancy that does empirical work, conceptual work, and forecasting across AI, policy, and science. He holds a PhD in AI from the University of Bristol, where his dissertation focused on tensorised probabilistic programming for approximate inference. He is a fellow at the Cosmos Institute, the Foresight Institute, and the Leverhulme Centre for the Future of Intelligence at Cambridge, and was a 2024 fellow at the International Strategy Forum. His research spans machine learning, metascience, epidemiology, and AI safety, and he has published in Science, PNAS, and NeurIPS. He co-authored The Scaling Era: An Oral History of AI, 2019-2025 with Dwarkesh Patel, published by Stripe Press in 2025. He received a grant from the Long-Term Future Fund for work on longtermist lessons from COVID, contributing to what he and Jan Kulveit called experimental longtermism. He blogs extensively at gleech.org and posts on EA Forum and LessWrong under the handle technicalities.

Currently: Grad student at MIT. Past: self-taught biology \u0026 neurosci @ Oxford, director @ Future Forum, math @ Berkeley.

Chair of the Long-Term Future Fund and a Program Associate at Open Philanthropy, with prior experience as a researcher at AI Impacts and as a trader and software engineer at a crypto hedge fund; she has been a research fellow at the Centre for the Governance of AI at the Future of Humanity Institute and holds a BA in Computer Science and Engineering from MIT.

Project Lead of Effective Altruism Funds, with previous experience in global priorities research as a research assistant at the Global Priorities Institute (GPI), in effective altruism community building as a contractor to CEA’s community health team, and in global health policy.

Joey Savoie is a leading figure in the effective altruism movement who co-founded and leads Ambitious Impact (formerly Charity Entrepreneurship), incubating new high-impact nonprofits in areas such as global health, animal welfare, and philanthropy-focused interventions.

JueYan Zhang is a philanthropic advisor and grantmaker who manages the AI Safety Tactical Opportunities Fund (AISTOF), a pooled multi-donor fund focused on reducing the probability and severity of catastrophic risks from advanced AI. He serves on the boards of Family Empowerment Media and Suvita, advises additional philanthropic initiatives, previously spent about a decade earning-to-give as a hedge fund manager, and holds degrees in business administration and statistics from UC Berkeley.

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.

AGI safety Research Scientist at Anthropic. Previously Research Fellow at Machine Intelligence Research Institute.

ARC Evals

Program Manager @ Constellation

Jamie Harris is a fund manager at the Effective Altruism Infrastructure Fund (EAIF) and Courses Project Lead at the Centre for Effective Altruism, where he runs online programmes that help people explore how they can have the most positive impact.

Jaeson Booker is an independent AI alignment researcher and the founder and fund manager of the AI Safety Research Fund, a nonprofit initiative dedicated to AI safety grantmaking. He has a background as a software engineer, startup founder, and senior cybersecurity analyst auditing blockchain contracts. He completed the AGI Safety Fundamentals courses (both Technical and Governance tracks), participated in SERI MATS under the Agent Foundations stream, and took part in AI Safety Camp (Group 22), where his team studied the promisingness of automating alignment research. He served as a senior executive at the Center for AI Responsibility and Education, where he developed curriculum for an introductory course in AI risk and alignment, and was a resident at CEEALAR (Centre for Enabling EA Learning and Research) where he worked on AI safety strategy and research projects. He runs the AI Safety Papers Substack (formerly the Alignment Research Newsletter), covering the latest work in alignment, interpretability, and AI safety. His research interests center on collective intelligence systems for alignment, mechanism design for AI safety, and multi-agent alignment.

PhD student in AI safety with David Krueger at the University of Cambridge and Program Associate at the AI Risk Mitigation Fund; his research focuses on AI safety topics such as alignment failures, forecasting AI capabilities, and scalable oversight.

Director of Global Grants at Mozilla Foundation, leading its global grantmaking and having designed and run multiple grant initiatives since joining in 2014; previously worked on K–12 educator support at organizations including a Public Education Foundation, the University of Tennessee, and Toshiba America Foundation.

AI Grantmaker at Longview and an AI DPhil Student at Oxford