Slack money for increased productivity in AI Alignment research
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Slack money for increased productivity in AI Alignment research
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Project coordinator at Riesgos Catastroficos Globales
Support funding during 2 years of an AI safety PhD at Oxford
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Alex Cloud is a researcher at Anthropic whose work focuses on interpretability and agent foundations. His research includes methods such as gradient routing to localize learning updates and distillation-based approaches to robust unlearning, and he previously conducted applied reinforcement learning research at Riot Games AI and Amazon before completing a PhD in statistics at North Carolina State University.
A global participatory futures research think tank that produces the annual State of the Future report and tracks 15 Global Challenges facing humanity, with growing focus on AGI governance and existential risk.
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Chief of Staff at Atlas Computing and an AGI preparedness field-builder who has founded and scaled AI safety communities and research groups across multiple regions, working to build the global ecosystem needed to keep advanced AI safe and aligned.
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Fine-tuning large language models for an interpretability challenge (compute costs)
Henry Papadatos is Executive Director of SaferAI, where he works on key aspects of the organisation’s work ranging from risk-management ratings and AI benchmark research to risk management and internal operations. He is a technical AI risk management expert focused on closing the gap between rapid AI advancement and society’s ability to manage associated risks, and previously conducted research on large-language-model alignment at the Center for Human-Compatible AI at UC Berkeley. In his role at SaferAI he develops AI governance strategies and technical solutions for managing risks from frontier AI systems.
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Researcher in developmental robotics and interactive reinforcement learning who obtained bachelor’s and master’s degrees from the University of Santiago, Chile, and a PhD from the University of Hamburg, and who collaborates with ARAAC, including through a lab at UNSW.
A two-day, career-focused workshop to inform and connect European EAs interested in AI governance
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Funding for project transitioning from AI capabilities to AI Safety research.
Paper and policy briefs on the feasibility and optimality of governments hedging against the risk of labour automation by selling bonds and buying equities.
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Founder of Constraint Dynamics, building Golem: a geometric knowledge system for verification-before-voice AI.
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Executive Director of the Berkeley Existential Risk Initiative (BERI). She joined BERI in February 2023 to support operations and grow new collaborations, moved into the executive director role in November 2024, previously worked as a Chief of Staff at tech startups including Corvid Technologies, and holds a B.A. in Economics and Peace, War, and Defense from the University of North Carolina.
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Team Shard is a small alignment research collective led by Alex Turner (TurnTrout) that studies how reinforcement learning induces values in trained agents, with the goal of learning to reliably instill human-compatible values in AI systems.
Co-founder and Partnerships Lead at Impact Academy, with experience establishing teams that design and deliver high-quality educational programs such as Future Academy v2 (India edition), and working as an executive coach for entrepreneurs and other impact-driven individuals.
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Güven Sak is a Turkish economist who founded and leads the Economic Policy Research Foundation of Turkey (TEPAV) and is a professor of public economics at TOBB University of Economics and Technology, while also serving as a councillor with CIGI’s World Refugee Council.
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Israel's oldest and largest research university, founded in 1912, with particular strength in computer science, engineering, and AI research. It ranks first in Europe and 21st globally for AI research output.
New laptop for technical AI safety research
Collider is a coworking and community space in New York City for AI safety and other high-impact professionals to work, collaborate, and convene.
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Developing an Edge-AI framework to reduce response latency to <0.6s, mitigating user cognitive stress and establishing "Digital Pharmacotherapy" standards.
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6 months’ salary to upskill on technical AI safety through project work and studying
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I’m an economist and policy researcher focused on improving the long run future via interventions that condition on very powerful AI systems arriving this century.
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