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3-month stipend for upskilling in AI Safety and potentially transition to a career in Alignment
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6 months salary for independent work centered on distillation and coordination in the AI governance & strategy space
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Assistant Professor of Computer Science at the University of Virginia whose research focuses on developing more capable, efficient and aligned large language models, including improved post‑training and training methodologies for superintelligent systems supported by an OpenAI Superalignment Fast Grant.
Steven (Steve) Feldstein is a senior fellow in the Democracy, Conflict, and Governance Program at the Carnegie Endowment for International Peace, where he examines how digital technologies—including surveillance systems and artificial intelligence—affect democracy, human rights, and U.S. foreign policy.
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6-month salary plus expenses for Jay Bailey to work on Joseph Bloom's Decision Transformer interpretability project.
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SERI MATS virtual participant (Winter 2022), AGISF Q1 2023 Facilitator
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Solo independent (Osaka, Japan): foundational layer for brain-function code-ification complete; building higher cognitive architecture on LLMs.
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Professor of Cognitive Neuroscience at the University of Oxford and Research Director at the UK AI Security Institute.
Emily Mackevicius is a co-founder and director of Basis Research Institute, where she leads the Collaborative Intelligent Systems group. A computational and systems neuroscientist, her work investigates how intelligent behaviors emerge in distributed and recurrent systems, grounded in high-resolution recordings of animal behavior such as group foraging in naturalistic environments. She completed her PhD in neuroscience in Michale Fee’s lab at MIT, followed by postdoctoral research with Dmitriy Aronov at Columbia University’s Zuckerman Institute and Center for Theoretical Neuroscience.
Dr. Stuart Armstrong is co-founder and Chief Mathematician of Aligned AI. Previously he spent around a decade at the Future of Humanity Institute at the University of Oxford advancing AI alignment research and analysing major global risks, developing novel AI control methods that have accumulated thousands of citations. He is the author of "Smarter Than Us", serves as a mentor for the Foresight Institute, advises the AI Safety Camp, and has given multiple TEDx talks and media appearances on AI and the future of space exploration.
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Senior Researcher at CARMA who leads the Geostrategic Dynamics program, analysing how transformative AI reshapes multilateral competition and cooperation using tools from game theory, mechanism design, and international relations.
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Ali Ladak is a researcher at Sentience Institute with postgraduate degrees in economics and cognitive science. Before joining Sentience Institute, he worked at Charity Entrepreneurship on research to prioritize global health and development policy interventions, previously worked at an economic consultancy applying empirical methods to evaluate social policies, and contributed to research projects with Charity Entrepreneurship and Faunalytics in support of the animal advocacy movement.
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Dwarkesh Patel is an American writer, researcher, and podcaster best known as the host of the long-form interview show Dwarkesh Podcast, which focuses on artificial intelligence, science, and history. While studying computer science at the University of Texas at Austin, he began interviewing writers and technologists in 2020 for an early version of the show, initially called The Lunar Society, and has since hosted high-profile guests including Andrej Karpathy, Ilya Sutskever, Mark Zuckerberg, Elon Musk, Satya Nadella, Tony Blair, and Dominic Cummings. In 2024 Time named him one of the 100 most influential people in AI, and in 2025 he co-authored The Scaling Era: An Oral History of AI, 2019–2025, a book largely composed of excerpts from his podcast interviews with leading AI researchers and company founders.
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Thomas H. Costello is an Assistant Professor in Social and Decision Sciences at Carnegie Mellon University, where he directs the Viewpoints Lab. He also holds affiliated faculty appointments at CMU's Human-Computer Interaction Institute and serves as a Research Affiliate at MIT's Sloan School of Management. He earned his PhD from Emory University under Scott Lilienfeld and completed a postdoctoral fellowship at MIT Sloan with David Rand and Gordon Pennycook. His research integrates psychology, political science, and human-computer interaction to study belief formation, attitude change, and the societal impacts of artificial intelligence on persuasion and misinformation. His landmark 2024 Science paper demonstrated that personalized AI dialogues (using GPT-4 Turbo) reduced conspiracy beliefs by approximately 20% in a large sample, with effects persisting for two months, earning the 2026 AAAS Newcomb Cleveland Prize. A subsequent 2025 Nature paper examined AI's persuasive power in political contexts, and his work on frontier LLMs' ability to persuade humans on extreme and hazardous topics directly addresses AI safety concerns around manipulative AI systems. He is a Research Affiliate at FAR.AI and was named an APS Rising Star in 2025.
Build a theory of abstraction for embedded agency using real-world systems for a tight feedback loop
6-month salary to verify neural network scalably for RL and produce a human to super-human scalable oversight benchmark
Eli Lifland is a forecaster focused on AI alignment who writes the Foxy Scout blog and is ranked first all‑time on CSET‑Foretell/INFER, with strong results in Metaculus tournaments such as the Economist and Salk forecasting challenges.
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Development of mathematical language for highly adaptive entities (having stable commitments, not stable mechanisms)
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6-month salary to research AI alignment, specifically the interaction between goal-inference and choice-maximisation
12-month salary for independent research, upskilling, and finding a stable position in AI-Safety
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Philipp Bongartz is a German machine learning engineer and independent AI alignment researcher who received a Long-Term Future Fund grant of approximately $25,000 for prosaic alignment research using chess as a model domain. He has developed a research agenda centered on building a multi-modal chess-language model with an encoder-decoder architecture, using chess as a testbed for investigating symbol grounding and truthfulness in AI models. His GitHub projects include Chess2Vec, ChessTransformer, and other chess-related ML tools, as well as bioinformatics work suggesting a computational background spanning machine learning and life sciences. He holds a PhD (defended in early 2020) from the Heidelberg Institute for Theoretical Studies (HITS). He has been an active contributor to the LessWrong and Alignment Forum communities under the handle p.b. since December 2020, with over 26 posts and 295 comments on topics ranging from chess AI to model scaling and alignment methodology. He has worked as a Senior Consultant and Data Scientist at Exxeta AG in Germany and is a rated chess player with a FIDE standard rating of approximately 2155.
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