ProjectManifund
Platform for interpretability researchers, especially those creating/using Sparse Autoencoders
Led byJohnny Lin
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Platform for interpretability researchers, especially those creating/using Sparse Autoencoders
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Ankesh Chandaria is the CEO of The AI Safety Foundation, a Canadian charity focused on education and research on catastrophic AI risks. He is a multidisciplinary researcher and strategy advisor working on AI ethics, governance and the philosophy of technology, affiliated with the Periscope Lab at the University of Toronto and pursuing a master’s degree in AI Ethics & Society at the University of Cambridge. Previously, he practised litigation and regulatory investigations law in London and has served on non-profit boards such as the Art Gallery of Ontario. He founded theConcept.ai and writes on the societal impacts of AI for outlets including Policy Options.
Partner for mental health at Lionheart Ventures and repeat entrepreneur best known for founding car‑sharing marketplace Turo; after leaving Turo he trained as a yoga and meditation teacher and now focuses his career and resources on mental health.
Meg Sintzel is a Director of The AI Safety Foundation and a Managing Director at Accenture Canada, where she leads marketing, communications and government relations. She has more than 25 years of experience in marketing and communications leadership roles.
An MIT senior majoring in CS and economics, and passionate about AI safety
Lee M. Lockwood is a professor of economics at the University of Virginia whose research focuses on public finance and labor economics, including the effects of government social insurance programs on behavior and welfare. He is a research associate at the National Bureau of Economic Research and serves as associated faculty with EconTAI and as a member of the Board of Editors of the American Economic Journal: Economic Policy.
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Dean Woodley Ball is a senior fellow at the Foundation for American Innovation whose work focuses on technological change, institutional evolution, and the future of governance. He previously served as senior policy advisor for artificial intelligence and emerging technology at the White House Office of Science and Technology Policy and as strategic advisor for AI at the National Science Foundation, following research roles at George Mason University’s Mercatus Center.
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Independent AI safety researcher. Built MTCP and ARCS the only published empirical infrastructure measuring whether AI systems hold their constraints under real operating conditions.
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A SERI MATS research team that received joint LTFF funding in 2023 to investigate dishonesty detection in advanced AI systems, building on the Discovering Latent Knowledge paper. The team went on to co-found Cadenza Labs, an AI safety research group focused on interpretability and LLM lie detection.
6-month Scholarship to support Amritanshu Prasad's upskilling in technical AI alignment. Amritanshu will study the AGI Safety Fundamentals Alignment Curriculum and create an accessible and informative summary of the curriculum.
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Artificial intelligence policy analyst focusing on international AI governance and the geopolitical implications of emerging technologies; Senior Fellow at PRINCEPS Risk Intelligence Institute, she has worked with the Czech government and EU institutions and collaborated with organisations such as the Centre for Long-Term Resilience and LawAI, and is a co-founder of AI Policy Bulletin.
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Funding 5–10 AI security startups through Seldon’s second SF cohort.
Brazilian EA and translator with a master´s in philosophy