Database

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Friendly Ambitious Nerd - https://mattbrooks.xyz/

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Seeding a business which finds grants and High Net Worth Individuals beyond EA

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Alana Xiang (Chinese name: Zhengbo Xiang) is an AI safety researcher and entrepreneur who previously attended Stanford University before leaving to work in AI. She worked part-time at ARC Evals (now METR) in 2022-2023, contributing to evaluations of frontier AI models. In summer 2023, she was a Research Fellow at the Center on Long-Term Risk, focusing on reducing risks from advanced AI systems. She received funding from the Long-Term Future Fund for six months of independent AI alignment research and upskilling. She has described herself as a "smol alignment researcher" and explored research directions in AI alignment, evaluations, and adjacent AI safety topics. As of recent years, she has been associated with Calaveras AI, an AI data company.

For AI safety, AI labs, EA charities & startups

by buying gift cards for the game and handing them out at the OpenAI offices

Sarah Hastings-Woodhouse is a UK-based AI safety communicator and writer currently serving as Digital Communications Officer at the UK AI Security Institute (AISI). She holds a BA in English Literature from the University of Exeter (2017-2020) and previously worked as a Content Writer at FindAUniversity creating resources for postgraduate students before transitioning into AI safety work. She has contributed writing and research to the Future of Life Institute, Clearer Thinking, AI Frontiers, and participated in the Pivotal Research Fellowship. She hosts the "Consistently Candid" podcast, which focuses on making AI safety and existential risk accessible to non-technical audiences through in-depth interviews with researchers and advocates in the field. She received Long-Term Future Fund grants supporting her career transition into AI safety communications and for producing her podcast. She also maintains a Substack (longerramblings.substack.com) where she writes about AI safety topics including analyses of AI lab safety plans.

Tim Shavers leads AI safety and governance grantmaking at Astralis Foundation and advises the impact-first VC fund Halcyon Ventures. A graduate of Harvard College and Yale Law School, he spent nearly 20 years at McKinsey and more than a decade in venture capital and now also serves as a Senior Advisor with cFactual.

A16Z

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Nutrition labels transformed food safety through informed consumer choice, help me do the same for AI and make this standard :)

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Britanee TeBrake is a talent leader and consultant who specializes in fractional leadership for early- and mid-stage startups, advising companies on talent strategy, recruitment, and building high-performing teams drawing on extensive experience in talent acquisition and executive search.

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Celia Ford is an AI reporter at Transformer, covering both technical and policy developments. She was previously a Future Perfect fellow at Vox and a AAAS Mass Media Fellow at Wired, and she holds a PhD in neuroscience from the University of California, Berkeley.

Cyborgism is an AI safety research agenda and community proposing that human-AI collaboration systems — where humans are cognitively augmented by LLMs rather than replaced by autonomous AI agents — can accelerate alignment research while preserving human control.

SAIHM — Sovereign AI Horizontal Memory. A sovereign, encrypted, sharable, persistent memory protocol for AI agents.

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alientologist

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UK government research organization that tests frontier AI systems, advances AI safety science, and informs policymakers about the risks and capabilities of advanced AI.

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CAISI is the U.S. government's primary point of contact for AI testing and research within NIST, focused on developing voluntary AI standards and conducting evaluations of frontier AI systems. It was renamed from the U.S. AI Safety Institute in June 2025.

Caleb Rak is an operations professional in the AI safety and effective altruism community. He grew up in Norwich, Connecticut and attended Norwich Free Academy, where he was a 2017 National Merit Scholarship Finalist. He went on to Harvard University, graduating with a degree in Comparative Literature and Linguistics; his senior thesis was titled "Translating Zhou Zuoren: The Vernacular Essay and the Individual." After graduating, he became involved in EA community-building through roles at SPARC (a rationality and EA summer program for high school students) and Canopy Retreats (an organization supporting logistics for EA community events). He now works in Operations at Iliad (iliad.ac), an applied mathematics research organization focused on AI alignment that runs the Agent Foundations conference series. In that capacity, he received a $20,700 Long-Term Future Fund grant to organize the Agent Foundations 2025 workshop at Carnegie Mellon University, a five-day gathering of approximately 30 researchers working on mathematical foundations of AI alignment.

Seminars on quantitative/guaranteed AI safety (formal methods, verification, mech-interp), with recordings, debates, and the guaranteedsafe.ai community hub.

Board Member at the Transformative Futures Institute and Harbert Eminent Scholar in Business Analytics at Auburn University’s Raymond J. Harbert College of Business, whose research has focused on information systems support for managerial problem formulation.

6 month salary to work on mech interp research with mentorship from Prof David Bau

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Dr Jon Truby is a Visiting Research Associate Professor at the Centre for International Law at the National University of Singapore, where his research focuses on the intersection of artificial intelligence, sustainability and digital technology. He has been appointed as a participating expert to the OECD.AI Expert Group on Compute and Climate, a group supported by the GPAI Secretariat that examines the environmental implications of AI’s computing demands.

Head of Advising at 80,000 Hours, having joined after working at Oxford’s Global Priorities Institute, where she now focuses on providing one-on-one career advice to help people pursue high-impact paths.

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Benchmark for agent safety when spending users money. How often do they violate user intent and rules?

H. Andrew Schwartz (1968–2025) was chief communications officer at the Center for Strategic and International Studies, where for roughly 20 years he directed CSIS’s media relations, digital strategy, events, publications, website, and other external engagement. A former Fox News producer and print journalist, he cohosted several CSIS podcasts—including The Truth of the Matter, The Trade Guys, The Impossible State, and The AI Policy Podcast—and coauthored Overload: Finding the Truth in Today’s Deluge of News with CSIS trustee Bob Schieffer.

Aysja Johnson is an AI safety researcher and policy analyst focused on AI lab scaling policies and responsible scaling frameworks. She holds a background in cognitive science, having completed undergraduate studies in Mathematics at UC Berkeley and graduate work in NYU's Computation and Cognition Lab under Todd Gureckis, where she studied human sense-making, open-ended reasoning, and human-machine intelligence. She was hired as a Research Analyst at AI Impacts in 2022, selected from over 250 applicants, contributing research on comparative cognition and technology adoption patterns relevant to AI risk. In 2023 she was a PIBBSS Summer Fellow, working on a project titled 'Towards a Science of Abstraction' exploring why natural abstractions are favored by agents and what this implies for AI alignment. She received a Long-Term Future Fund stipend for 1.5 years to conduct a thorough investigation and analysis of AI lab scaling policies, and has published critical analyses on LessWrong arguing that current responsible scaling policies lack rigor, fail to specify measurable evidence thresholds, and that behavioral evaluations alone are insufficient for safety assurance. She is active on LessWrong under the handle 'aysja' and has co-authored posts on AI lab governance topics including OpenAI's non-disparagement practices.

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Surveying neuroscience for tools to analyze and understand neural networks and building a natural science of deep learning

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The first AI safety evaluation benchmark for Nigerian indigenous livestock systems testing whether frontier models are safe to deploy in African food systems.

Funding to cover our expenses for 3 months during unexpected shortfall

Pauline Charazac is Head of Policy Engagement at CeSIA, where she leads international efforts to promote responsible and inclusive AI governance. Conference bios describe her as a senior public policy adviser with experience at institutions such as the OECD and the Bank of Mauritius, working at the intersection of AI ethics, global governance, and financial inclusion.

Yuxiao Li is an AI safety and mechanistic interpretability researcher currently based in Bilbao, Spain, where she is a postdoctoral researcher at the Basque Center for Applied Mathematics (BCAM). She holds a PhD in Computer and Information Sciences from Tsinghua University (2018-2023). Her research focuses on understanding the internal representations of large language models through techniques such as sparse autoencoders, variational inference, and geometric analysis of feature spaces. She was previously affiliated with MIT's Tegmark group and the Beneficial AI Foundation, where she was first author on "The Geometry of Concepts: Sparse Autoencoder Feature Structure" (arXiv 2024), a study of how concepts are geometrically organized in LLM activations. She has also participated in the ML Alignment & Theory Scholars (MATS) program and the Supervised Program for Alignment Research (SPAR), contributing multi-part research on structured priors and block-diagonal geometry in language model activations. She currently serves as a mentor in the Algoverse AI Safety Fellowship and has received independent research funding for inference-based AI interpretability work.