Matthew Farr
Probing possible limitations and assumptions of interpretability | Articulating evasive risk phenomena arising from adaptive and self modifying AI
Epoch AI
Remmelt Ellen
Cost-efficiently support new careers and new organisations in AI Safety.
McKim Jean-Pierre
Help me, an economic historian from an underrepresented background, develop tech skills and reflect on adv. technologies to pivot to an AI governance career.
Michele Rocco Smeets
A mainstream fictional TV series exposing the dangers of AI
Center for AI Policy
Advocating for U.S. federal AI safety legislation to reduce catastrophic AI risk.
For tracking and predicting future AI progress to AGI
Jay Luong
Travel/Accommodation support for a lead coorganiser of the Ethos+Tékhnē spring school
Agustín Martinez Suñé
Seeking funding to develop and evaluate a new benchmark for systematically assesing safety of LLM-based agents
Rufo guerreschi
Catalyzing a uniquely bold, timely and effective treaty-making process for AI
Abhinav singh
Workshop focused on AI Security attacks and defense use-cases through a Capture-the-flag style Adversarial simulation labs.
Mikolaj Kniejski
Do ACE-style cost-effectivness analysis of technical AI safety orgs.
Murray Buchanan
Leveraging AI to enable coordination without demanding centralization
Michaël Rubens Trazzi
How California became ground zero in the global debate over who gets to shape humanity's most powerful technology
Joep Meindertsma
Help the largest AI activist group grow
Jørgen Ljønes
We provide research and support to help people move into careers that effectively tackle the world’s most pressing problems.
AI Safety and Governance Fund
Educating the general public about AI and risks in most efficient ways and leveraging this to achieve good policy outcomes
Jordan Braunstein
Combining "kickstarter" style functionality with transitional anonymity to decrease risk and raise expected value of participating in collective action.
Constance Li
Field building on AI's impact on nonhumans
PauseAI US
SFF main round did us dirty!