Database

Fulton Wang is a co-founder of Guide Labs and holds a PhD in computer science from the Massachusetts Institute of Technology (MIT).

For Remmelt Ellen to run a virtual and physical camp where selected applicants prioritise AIS research & test their fit

Marketing, product, and community leader with around 14 years’ experience across tech startups, media corporations, social platforms, and agencies; former Head of Marketing & Growth at Spark Wave; co-founded and helped lead AI Safety Australia & New Zealand; and currently leads the Technical Alignment Research Accelerator (TARA) while serving on advisory boards for organisations such as Giving What We Can and Results Australia.

No summary available yet.

Nicolas Rodriguez is an AI governance specialist, LinkedIn Learning instructor with over 300,000 students, and consultant who founded RiesgosIA.org and GobernarIA.com to build practical AI safety and governance infrastructure, educational resources, and tools for Spanish-speaking organizations.

Director of Partnerships at the AI Safety Awareness Project. Originally from Caracas, Venezuela, he has lived in Chicago for roughly 25 years (with brief periods in Canada, Colorado, and Scotland) and spent about seven years working in sales roles at five startups, helping to navigate and secure funding rounds. In 2024 he pivoted into AI safety and now leads AISAP’s partnership framework while personally delivering AI safety workshops, webinars, and train-the-trainer programs for libraries and community organizations across the United States.

AI safety researcher and principal researcher at Cavendish Labs, with previous undergraduate study at Brown University.

No summary available yet.

Jonas Hallgren is a co-director at Equilibria Network who directs the organization’s research architecture and operational systems, drawing on several years of AI safety research with a special focus on multi-agent coordination using active inference frameworks.

12-month salary to research AI alignment, with a focus on technical approaches to Value Lock-in and minimal Paternalism

No summary available yet.

Luke Thorburn is an interdisciplinary researcher working on AI and conflict and a research fellow at the AI & Democracy Foundation, with additional affiliations including MIT, the digital peacebuilding organisation Build Up, the GETTING-Plurality Research Network at Harvard, the MINT Lab at Johns Hopkins/ANU, and the Council on Tech + Social Cohesion.

Support to work on Aisafety.camp project, impact of human dogmatism on training

No summary available yet.

No summary available yet.

An incubator & community space in SF; for doers of good and masters of craft

Alex Semendinger is a Research Manager at the Cambridge Boston Alignment Initiative, supporting fellows on technical AI safety projects. He has a background in mathematics and machine learning and writes publicly about transformers and interpretability.

Ryan Baylon is an Operations Associate at the Cambridge Boston Alignment Initiative and helps run AI safety programming for MIT AI Alignment (MAIA), supporting student groups and CBAI’s fellowships and workshops in Cambridge.

No summary available yet.

Founder of the AI Safety Initiative at Georgia Tech and Ph.D. student at the RAND School of Public Policy who also serves as a fellow at the Institute for Progress.

6-month researcher stipend to explore the effect of chat fine-tuning on LLM capability elicitation

No summary available yet.

Data scientist and PhD candidate in reinforcement learning at Deakin University, holding a bachelor’s degree in commerce from the University of Melbourne and a master’s degree in data science from Deakin, and working on reinforcement-learning-focused research within ARAAC.

Nicco Reggente, Ph.D., is a cognitive neuroscientist and entrepreneur who co-founded the Institute for Advanced Consciousness Studies and serves as its Research Director and Principal Investigator. His work focuses on neuroimaging-informed, personalized neurotechnology that combines immersive media, neurofeedback, and machine learning to induce and re-instantiate beneficial meditative and entheogenic states. He also teaches functional neuroimaging at UCLA and has published widely on memory, consciousness, empathy, and clinical applications of brain imaging.

PhD candidate at the University of Genoa and the Tarello Institute of Philosophy of Law, Research Director at the Laboratory on Innovation and Artificial Intelligence of the University of Buenos Aires (UBA IALAB), and a lawyer trained at the University of Buenos Aires.

No summary available yet.

No summary available yet.

3 month

Design and implement simulations of human cultural acquisition as both an analog of and testbed for AI alignment

No summary available yet.

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A mechanistic, testable framework explaining LLM failure modes via boundary writes and attractor dynamics

No summary available yet.

Nonprofit leader and co-founder of the Buddhism & AI Initiative; formerly Director of Digital Strategy at the Mind & Life Institute and a digital strategist there, with a master’s degree in Contemplative Religious Studies from Naropa University.

Board Member at the Transformative Futures Institute and PhD student working on trustworthy AI at Max-Planck/ETH Zurich, with master’s degrees in Mathematics and Technology Policy and experience as a Superforecaster with Good Judgment Inc.

No summary available yet.

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Benedict Macon-Cooney is Chief AI & Innovation Officer at the Tony Blair Institute for Global Change, where he leads work on economic and technology policy with a focus on artificial intelligence, biotech and clean tech. He previously served as the Institute’s chief policy strategist and has a background as an economist at HM Treasury and as an adviser working in leaders’ offices in countries including Rwanda, shaping major reports such as A New National Purpose on science, technology and AI.

Mostly retroactive funding for prior work on AI safety comms strategy as well as career transition support. 

No summary available yet.

Open-source replay tool and benchmark prototype for identifying step-level semantic risk transitions in multi-agent AI traces — CI-backed and independently repr

No summary available yet.

Janus (also known as Egr. janus, repligate, and moire) is a pseudonymous AI alignment researcher whose work focuses on understanding large language models as simulators and exploring human–AI symbiosis. They have written influential posts such as "Simulators" and "Mysteries of mode collapse," curate the generative.ink publishing platform, created the cyborgism.wiki knowledge base, and are listed as a founding member of Conjecture and an admin of the EleutherAI Discord.

Johnny Lin is an interpretability researcher and engineer at Decode Research, best known as the creator and lead developer of Neuronpedia, an open-source platform for exploring and steering the internals of language models. He previously worked as an Apple engineer and co-founded the privacy app company Lockdown Privacy, and has written and co-authored work on sparse autoencoders and benchmarks such as SAEBench that use Neuronpedia and SAELens to study model features and circuits.

An open platform to stress-test how LLMs handle bias, pressure points, and clinical decisions. Built on peer reviewed real evidence.

Chief Product Officer at Gray Swan AI, serving on the company’s leadership team.