Database

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AI expert, project manager, artist

Head of Cyber Security at Heron AI Security Initiative with over six years of security research experience in IoT, robotics, malware, and AI security.

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Help turn the video from an amateur side-project to into an exceptional, animated distillation

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Daniel Hnyk is VP of Engineering at FutureSearch. He holds an MSc in Mathematics and Computer Science from the Czech Technical University and previously served as Director of Engineering at GWI and later at Metaculus, along with engineering roles for several EA-aligned NGOs.

Aaron Ginn is a co-founder of the Foundation for American Innovation and a former member of its board. He is co-founder and CEO of Hydra Host, an AI infrastructure company, and previously led growth product management at Everlane and StumbleUpon and worked on Mitt Romney’s 2012 presidential campaign.

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Founder, Luthien. I want to put AI Control into production quickly.

An open-source framework for detecting and correcting agentic drift using formal metrics and internal control kernels

Adelin Kassler is an AI safety researcher based in the Greater Boston area, focusing on detecting and mitigating deceptive behavior in large language models. She was a PhD candidate in Bioinformatics and Integrative Genomics at Harvard University under advisor Debora Marks, where she worked on machine learning tools for protein design and genomics, ultimately graduating with a master's degree after qualifying for the PhD program in order to pursue AI safety research. Prior to that she held research positions at the Alkes Price Lab at Harvard School of Public Health and at the Hilary Finucane Lab at the Broad Institute of MIT and Harvard. She participated in the ML Alignment & Theory Scholars (MATS) program under Evan Hubinger at Anthropic. Her key AI safety contribution is the paper "Getting Models Drunk: Noise Injection Reveals Backdoor Behavior in LLM Sleeper Agents" (co-authored with Evan Hubinger, 2024), which develops weight-noise-injection as a method to surface hidden deceptive behaviors in language models prior to deployment. This work was supported by a grant from the Long-Term Future Fund.

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A contamination-free benchmark for measuring whether LLMs can forecast, or whether they're just remembering.

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Ampdot, also known online as AmplifiedAmp, is a developer and alignment experimenter who created the Act I research project on the Cyborgism Discord. The project is funded through Manifund and uses ampdot’s Chapter II system to run multiple large language models in a shared Discord server where AIs and humans interact as coequal participants to explore emergent behavior in multi-agent human–AI systems.

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Kauna Ibrahim Malgwi is a Nigerian clinical psychologist, mental health advocate, and digital-labor organizer whose work spans mental health, AI, and ethics. She founded the Digital Rights and Mental Health Initiative and has helped lead organizing efforts for African content moderators, including the Content Moderators Union in Nigeria. Her advocacy on algorithmic trauma and fair working conditions for digital workers has received international recognition, including being named to TIME’s 2024 TIME100 AI list.

Support Sam's participation in ‘Mid-term AI impacts’ research project

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Co-founder of Impact Ops and operations leader based in Berlin; previously Head of People Operations at Effective Ventures and a graduate in Environmental Science from the University of Freiburg, with a focus on supporting high-impact organizations.

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biosecurity

3-month salary to skill up in ML and Alignment with goal of developing a streamlined course in Math/AI

Believer in Freedom and Love.

Baseemah “Bee” Nance, CPA, is a finance executive, educator, and content creator who has served as a chief financial and administrative officer and teaches accounting at Central Piedmont Community College. She leverages her accounting expertise to promote financial literacy and helps individuals and organizations address money mindsets and build stronger financial foundations.

Independent AI Safety Researcher

Børge Brende is a Norwegian politician and diplomat who served as President and Chief Executive Officer of the World Economic Forum from 2017 until 2026, having previously held senior roles in the Norwegian government including Minister of Foreign Affairs, Minister of Trade and Industry, and Minister of the Environment.

Benjamin Sturgeon is an AI safety researcher and field builder based in Cape Town, South Africa. He is the CTO and Co-Founder of AI Safety Cape Town, a field-building research organisation dedicated to expanding the community working on AI safety problems, and serves as Strategic Director of AI Safety South Africa. Previously a machine learning engineer, he transitioned to full-time AI safety research supported by a grant from the Long-Term Future Fund. He is pursuing an MPhil in Applied Mathematics at the University of Cape Town under supervisor Jonathan Shock, focusing on applying mechanistic interpretability to understand reinforcement learning models and measuring agency in AI agents. He also participated in the MATS (ML Alignment Theory Scholars) extension program and has co-authored research including HumanAgencyBench, a benchmark for evaluating human agency support in AI assistants.

Postdoctoral fellow in the Algorithmic Alignment Group and SERC at MIT whose research on minds, machines, and morality draws on virtue ethics, game theory, and computational complexity to inform the design of AI systems that better capture human values and thought.

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LLMs scale language, not method. HP turns hypothesis-driven papers into machine-readable maps of variables, controls, stats, and findings for researchers & AI.

Head of Policy at the AI Policy Network and co-founder and former Chief Strategy Officer of the Institute for AI Policy and Strategy (IAPS); previously co-founded Rethink Priorities and worked as a data scientist, and is known as a top forecaster involved in AI and policy-focused forecasting competitions.

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conputer..

Member of Technical Staff at Sage’s AI Digest and AI Village projects, working on interactive AI demos and explainers and publicly writing about AI capabilities and agent behavior.

Researcher at Cavendish Labs and PhD student in chemistry at the University of California, Berkeley, with previous undergraduate study in chemistry at Brown University.

3-month salary to set up a distillation course helping new AI safety theory researchers to distill papers

Senior researcher with MIT FutureTech and The University of Queensland who provides methodological expertise and strategic and technical advice for the AI Risk Index, drawing on experience with systematic reviews, Delphi studies, and meta‑analyses.