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Clear filters to view everything →Roger Grosse is a Director of The AI Safety Foundation and an Associate Professor of Computer Science at the University of Toronto, where he holds the Schwartz Reisman Chair in Technology and Society and a Canada CIFAR AI Chair. His research focuses on deep learning, neural network training dynamics and AI alignment, and he also works on alignment and training-data attribution as a member of Anthropic’s Alignment Science team.
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Mehmet Sencan is the CEO of Earendil, with work spanning medical devices, biosensors, nanofabrication and optics.
Haskell programmer
Iván Godoy is an AI safety researcher who received a grant to dedicate six months full-time to upskilling and AI alignment research, with a tentative focus on agent foundations. A LessWrong account under the handle "ivan-godoy" was created in September 2025, suggesting recent entry into the AI safety community. The small grant amount ($6,000 for six months of salary support) indicates Godoy is likely based in Latin America where living costs are lower. Beyond these details, limited public information is available about Godoy's background, prior roles, or research output at this time.
angel biotech investor, former quantitative trader
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Nick Hay is an AI alignment researcher and co-founder of Encultured AI, an alignment-focused startup developing platforms for AI safety experiments. He holds a PhD from UC Berkeley (2015), where he studied metalevel control under Professor Stuart Russell, applying reinforcement learning and Bayesian analysis to how agents can learn to control their own computations. Before co-founding Encultured AI, he spent five years at Vicarious AI working on AGI approaches grounded in robotics and served as a technical researcher at the Machine Intelligence Research Institute (2017-2021). In 2021 he received a $150,000 grant from the Long-Term Future Fund to design and implement simulations of human cultural acquisition as both an analog of and testbed for AI alignment, working as a visiting scholar at CHAI advised by Andrew Critch and Stuart Russell. His research interests span reinforcement learning, value alignment, and using cultural acquisition dynamics as a lens for understanding how AI systems can learn human-compatible behavior. He first engaged with AI safety upon reading Eliezer Yudkowsky's Creating Friendly AI in 2001, interning at MIRI in 2006 and attending the Singularity Summit in 2007.
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Research Director at the Collective Intelligence Project and a neuroscientist focused on emerging technologies and the science of collectivity, following a 15‑year academic career and leadership roles at Irrational Labs and the Social Science Observatory.
Aether is an independent research lab focused on LLM agent safety, conducting technical research on the alignment, control, and evaluation of large language model agents.
London-based for-profit AI safety company working on Cognitive Emulation, an approach to building controllable, bounded AI systems that reason transparently.
MSCS Graduate Student at UMass
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Independent researcher trying to make the world better place through my efforts
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Emre Yavuz is Director of Programs at the Cambridge Boston Alignment Initiative, where he leads CBAI’s research fellowship portfolio. He also serves as a research volunteer with MIT’s AI Risk Initiative, applying insights from political science and macroeconomics to frontier AI governance and risk.
Michael E. Leiter is chair of the RAND Corporation’s Board of Trustees and a partner at Skadden, Arps, Slate, Meagher & Flom LLP, where he leads the firm’s national security-focused practice. He previously served as director of the United States National Counterterrorism Center (NCTC) and has held senior roles across government and the private sector dealing with national security, intelligence, and cybersecurity matters.
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Keith Wynroe is an independent mechanistic interpretability researcher focused on attention layers in transformer models. He graduated from Trinity College, Cambridge with double first class honours and previously worked as a Research Analyst at the Forethought Foundation for Global Priorities Research, William MacAskill's global priorities research organization. He participated in the SERI MATS (ML Alignment & Theory Scholars) program, working in Lee Sharkey's stream during the Winter 2023-24 cohort, and received LTFF grants to continue independent research afterward. His research outputs include "An OV-Coherent Toy Model of Attention Head Superposition" (co-authored with Lauren Greenspan, 2023) and "Decomposing the QK Circuit with Bilinear Sparse Dictionary Learning" (co-authored with Lee Sharkey, 2024), which applies bilinear sparse dictionary learning methods to understand how query and key features interact in attention circuits.
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Nicky Pochinkov is an independent AI safety researcher and ML engineer based in Ireland, currently affiliated with Coefficient Giving. He studied theoretical physics at Trinity College Dublin and represented Ireland in both the International Mathematical Olympiad (2018) and the International Chemistry Olympiad. His research focuses on mechanistic interpretability of large language models, including machine unlearning via selective pruning, neuron modularity and specialization in transformers, and decoding residual stream activations to understand planning in LLMs. He is co-author of the paper "Dissecting Language Models: Machine Unlearning via Selective Pruning" (with Nandi Schoots, arXiv 2024). He was a scholar in the SERI MATS program working with Evan Hubinger, has served as a teaching assistant and compute infrastructure lead for the ARENA alignment research training program (versions 5.0 and 6.0), and has served as a guest lecturer for AI Safety Tokyo. He has received multiple grants from the Long-Term Future Fund totaling approximately $200,000 for independent AI safety research.
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K. Eric Drexler is an American engineer and researcher best known for pioneering molecular nanotechnology and authoring works such as Engines of Creation and Nanosystems. More recently, he has focused on advanced AI risk and governance, developing the Comprehensive AI Services (CAIS) framework and writing the AI Prospects Substack series on options in a hypercapable world, while advising organizations such as the Centre for the Governance of AI and the Center for AI Risk Management & Alignment.
Gidi Kadosh is a social entrepreneur and CEO of VIVID who focuses on scaling effective personal-growth and mental-health tools. He founded the Effective Altruism Israel nonprofit and, within about two years, led it from a small volunteer group to an established organization with around eight employees, thousands of community members, and large projects such as academic courses at Tel Aviv University and the Maximum Impact program.
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Heiner Benking is an internationally known independent journalist, science writer, and curator with a background in geosciences and geophysics. A Senior International Expert in Structured Democratic Dialogue at the Future Worlds Center, he has supported dialogue design and futures-oriented projects on global change, environmental issues, governance, and youth engagement since the 1970s.
Richard Hames is a Research Associate at the Odyssean Institute, as well as a political theorist and journalist. He is co-author of the books “Post-Internet Far Right” and “The Rise of Ecofascism: Climate Change and the Far Right”, an editor of the volume “Crude Futures”, and a host and series producer of the Novara FM show, and is currently working on a book project on collapse with Beau-Caprice Vetch.
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Associate Professor of Electrical Engineering and Computer Science at MIT who runs the Algorithmic Alignment Group at CSAIL, developing methods to align AI systems’ behavior with human goals and societal values across multi-agent systems, human–AI teams, and societal oversight of machine learning.
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