Tony Rost
Resources for journalists, clinicians, and educators before AI consciousness debates calcify.
Karen A. Brown
Filmmakers, musicians, and comedians team w/AI safety researchers transforming technical concepts into compelling viral shorts making critical risks consumable.
Jessica P. Wang
Germany’s talents are critical to the global effort of reducing catastrophic risks brought by artificial intelligence.
AISA
Translating in-person convening to measurable outcomes
Aashkaben Kalpesh Patel
Nutrition labels transformed food safety through informed consumer choice, help me do the same for AI and make this standard :)
Mateusz Bagiński
One Month to Study, Explain, and Try to Solve Superintelligence Alignment
Amrit Sidhu-Brar
Research on how to navigate the transition to a world with superintelligent AI systems
David Krueger
Our mission is to inform and organize the public to confront societal-scale risks of AI, and put an end to the reckless race to develop superintelligent AI.
Larry Arnold
A modular red-teaming and risk-evaluation framework for LLM safety
Lawrence Wagner
Finn Metz
Funding 5–10 AI security startups through Seldon’s second SF cohort.
Gergő Gáspár
Help us solve the talent and funding bottleneck for EA and AIS.
Jess Hines (Fingerprint Content)
Detect polarising story-frames early and build better narratives—fast, practical, adoptable.
Jade Master
Developing correct-by-construction world models for verification of frontier AI
David Rozado
An Integrative Framework for Auditing Political Preferences and Truth-Seeking in AI Systems
Orpheus Lummis
Seminars on quantitative/guaranteed AI safety (formal methods, verification, mech-interp), with recordings, debates, and the guaranteedsafe.ai community hub.
Rufo Guerreschi
Persuading a critical mass of key potential influencers of Trump's AI policy to champion a bold, timely and proper US-China-led global AI treaty
Preeti Ravindra
AI Safety Camp 2026 project: Bidirectional Failure modes between security and safety
Sara Holt
Short Documentary and Music Video
Avinash A
Formalizing the "Safety Ceiling": An Agda-Verified Impossibility Theorem for AI Alignment