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Eli Lifland is currently working on AGI forecasting and governance with the AI Futures Project. Eli advises Sage, an organization they cofounded, which focuses on AI explainers and forecasting tools. Previously, Eli worked at Ought on the AI research assistant Elicit. Eli has co-authored work on topics such as AGI scenario forecasting and AI alignment. Eli is interested in improving outcomes of superhuman AIs and considers themself part of the effective altruism movement. Eli has taken the Giving What We Can Pledge. Eli is also interested in judgmental forecasting and co-leads the Samotsvety Forecasting team. During their last year of college, Eli co-created TextAttack, a Python framework for adversarial attacks in NLP. Eli has degrees in computer science and economics from the University of Virginia.

Adam Jermyn is a Boston-based physicist working on AI safety. He believes advanced AI will be a transformative technology soon and wants to ensure that transformation goes well. His current interests are on inner alignment and interpretability of neural networks. Previously, he was a Research Fellow at the Flatiron Institute’s Center for Computational Astrophysics (2019-22) and a Postdoctoral Scholar at the Kavli Institute for Theoretical Physics at UCSB (2018-19). He holds a BS in Physics from Caltech (2015) and a PhD in Astronomy from the University of Cambridge (2018). In his spare time, he writes science fiction short stories and paints, mostly with acrylics.

Zac Hatfield-Dodds is a member of technical staff at Anthropic, an AI safety and research company in San Francisco. He works on building reliable, interpretable, and steerable AI systems. Previously, he contributed to the Autonomy, Agency, and Assurance Institute. Zac also volunteers for community organisations and served on the board of the ACT Conflict Resolution Service and the executive of Effective Altruism ANU. He organises events like the mentored sprints and co-authored a report on PEPFAR. A PSF Fellow, Zac regularly contributes to open source software and is the lead developer of Hypothesis. He also co-maintains Pytest and started hypofuzz.com. Zac often speaks at conferences.

Nikola Jurkovic is a Member of Technical Staff at METR. He works on reducing risks from advanced AI because it's the most important problem to be working on. He does evaluations research to measure dangerous AI capabilities. Nikola graduated from Harvard with a degree in Artificial Intelligence and Society. While there, he helped organize the AI Safety Student Team.

Joe Carlsmith is a writer, researcher, and philosopher. He works at Anthropic on the constitution for Claude, the company's AI. He is also a visiting lecturer at Yale Law School during spring term of 2026. Prior to this, he was a senior advisor at Coefficient Giving, where he focused on existential risk from advanced artificial intelligence. He also writes independently about various topics in philosophy and futurism, and he has a doctorate in philosophy from the University of Oxford. Much of his work is about trying to help us orient wisely towards humanity’s long-term future. His work covers topics from meta-ethics and rationality to ethics, longtermism, and advanced artificial intelligence. He also explores topics in the philosophy of mind, and aspects of his existential/spiritual orientation.

Owain Evans is an AI Alignment researcher and Director at Truthful AI, a research group in Berkeley. He is also an Affiliate Researcher at CHAI, UC Berkeley. His research focuses on emergent misalignment, out-of-context reasoning, and introspection in LLMs. Previously, he worked at FHI (Oxford) and earned a PhD from MIT. He serves on the Board of Directors at Ought and Constellation. He gave the Hinton Lectures in 2025 in Toronto.

Ethan Perez leads the adversarial robustness team at Anthropic, where he focuses on reducing existential risks from AI systems. He contributed to the development of Retrieval-Augmented Generation (RAG). He also helped demonstrate that state-of-the-art AI safety training techniques do not ensure safety against sleeper agents. Ethan received a best paper award at ICML 2024. He received his PhD from NYU under the supervision of Kyunghyun Cho and Douwe Kiela and was funded by NSF and Open Philanthropy. He has previously worked at DeepMind, Facebook AI Research, Montreal Institute for Learning Algorithms, and Google. He was named one of Forbes’s 30 Under 30 in AI.

Joshua Fox has a presence on LinkedIn, StackOverflow, and GitHub. He is involved in public speaking and writes articles. He holds patents. His interests include humor and the future. He is also interested in Semitic Philology and Yiddish. He is also known as יהושע פוקס.

Peter Barnett is interested in AI safety, physics, math, and ensuring a bright future. He is particularly focused on avoiding catastrophic outcomes from powerful AI systems. He believes humans might build these systems soon and that this is a pivotal time in history. Peter has a background in theoretical physics, specifically simulating quantum optics and quantum fluids. He is now focusing on AI safety, working on ensuring that advanced AI systems are trustworthy, stable, and beneficial. He currently works on technical governance at the Machine Intelligence Research Institute. In the past, he has done conceptual and empirical AI safety work.

Pablo Stafforini is the director of Tlön, an organization that translates content related to effective altruism, existential risk, and global priorities research into various languages. He is also a co-host of the podcast La bisagra de la historia and a member of the Samotsvety forecasting group. He used to write a newsletter together with Matthew van der Merwe. He has been part of the effective altruism community since its inception and has collaborated with several EA orgs and people over the years. As Will MacAskill’s research assistant, he was responsible for much of the background research for Doing Good Better. More recently, he created, edited and wrote most of the content of the Effective Altruism Wiki. His interests and hobbies include modern and classical languages, travel, tango dancing and DJing, minimalism, Borges, and wasting time on his Emacs configuration.

Niplav is the author of niplav.site, a website created in 2019. The site contains texts on various topics, including forecasting, existential risk, computer science, and philosophy, as well as translations, transcriptions, and archives of blogs and programming projects. Niplav can be hired to investigate research questions, write code, design and execute experiments, analyze data, and make predictions. The website follows the idea of Long Content: pages that are continually getting refined and updated, never quite completely finished, but approaching stability. Niplav was inspired by gwern.net and reducing-suffering.org.

Jesse Hoogland is an AI-safety researcher and co-founder of the Singular Learning Theory (SLT) for AI safety research agenda. This led to him co-founding and now directing Timaeus, a nonprofit research organization studying this agenda. Together with his team, he has scaled the organization from 3 to 16 staff and raised $3.5M+ in grants. In addition to co-authoring papers directly, he is an experienced communicator with 20+ talks at frontier AI labs and academic venues. He runs Timaeus, a nonprofit AI safety research organization working on singular learning theory (SLT) for alignment.

Jacques Thibodeau is a 32-year-old French Canadian working as an AI alignment researcher. He focuses on reducing risks from superintelligent AGI. His work aims to ensure advanced AI systems remain beneficial as they scale. He publishes his work on AI alignment and discusses the flourishing of all beings. He also writes about other topics of interest. His long-term goal is to create a world with less unintentional suffering and prevent any existential risks to humanity. He believes superintelligent AI will be the most consequential human invention and wants to help humanity meet their needs in life and experience feelings of transcendence.

Mark Xu is working to improve global coordination. He was previously the first employee at the Alignment Research Center, where he worked on aligning AI systems with human interests. Before that, he was a student at Caltech. He has a blog with his partner Sidney at markandsid.com. He can be found on Google Scholar and iNaturalist. He has written about theoretical research, London, commitments, and preference utilitarians. He also has photos of birds, alpine environments, landscapes, fungi, cooking, mammals, and bugs. He has videos of a great horned owl, burrowing owl, thunderstorm, pika, and yellow-bellied marmot.

Andrew Critch holds a PhD from UC Berkeley and is currently the CEO & Cofounder of Encultured AI / HealthcareAgents. He also works as a Research Scientist at UC Berkeley's Center for Human-Compatible AI (CHAI). His research focuses on societal-scale safety issues related to future AI applications. He is interested in collaborating on projects relevant to AI safety, ethics, and transparency. Andrew is also involved with the Survival and Flourishing Fund (SFF) as a Fund Advisor, Survival and Flourishing .Com (SFC) as a Director, Survival and Flourishing Projects (SFP) as a Project Director, OpenLetter.net as a Cofounder, and the Berkeley Existential Risk Initiative (BERI) as Founder and President.

Leo Gao is interested in AI Alignment, ML, Software Development, and Math. He also enjoys linguistics, economics, and longevity. He strives to produce content that provides unique insights. His personal favorite posts are The Decade of Deep Learning and Building AGI Using Language Models. He can be found on Twitter at @nabla_theta and contacted via email at leogao2 [email protected]

Jayson Virissimo is a Full-Stack Developer and Engineering Manager. He has created Boethius, a web application for learning the classical liberal arts, including grammar, arithmetic, geometry, and astronomy. He also developed Production Syllogism, a Ruby library to check if individual statements are well-formed formulas in Aristotelian logic and whether whole arguments are valid or are of the same logical form. Jayson created MemorizeOnline, a web application for learning the epic poem of the Portuguese people using spaced-repetition principles. Additionally, he developed WeightedList, a Ruby library that lets users sample and shuffle a weighted list.

Katja Grace is a researcher focused on understanding the future impacts of artificial intelligence. She co-founded AI Impacts, a long-running project examining empirical and conceptual questions relevant to AI forecasting and decision-making. Her work explores topics such as technological trajectories, expert prediction, model scaling, signaling, and anthropic reasoning. Katja previously studied human ecology and science communication. She co-authored a paper that became one of the most discussed scientific papers of 2017, and has been listed by Time Magazine among the 100 most influential people in AI. Katja writes at worldspiritsockpuppet.

Paul Christiano is the head of AI safety at the Center for AI Standards and Innovation within NIST. He previously ran the Alignment Research Center and the language model alignment team at OpenAI. Before that, he received his PhD in statistical learning theory from UC Berkeley. His writing about alignment, his blog, his academic publications, and fun and games may be of interest. He can be reached at paulfchristiano@gmail.com.

Benjamin Ross Hoffman can be reached at benjaminrhoffman@gmail.com. He is on Twitter as @ben_r_hoffman. His website, Compass Rose, promotes better living through criticism and reason. He is interested in projects that align with his goals. If he is not sufficiently interested in a project, he may be willing to dedicate his time for a fee.