Mooyeon LEE
Justin Shenk
Increasing public awareness of AI risks and benefits through in-person, interactive experiences
Amrutha
Funding a laptop for first-year computer science engineering students who currently have no own pc
Gabriel Sherman
A playbook to help AI safety policy advocates communicate with the U.S. government during the window of opportunity during an AI-related crisis.
Yves
Reinforcement learning for cooperative LLM agents to address multi-agent risks.
Georgia Tech Research Corporation
We will test whether circuits in protein language models can detect function-preserving redesigns of known toxins that evade homology-based DNA-synthesis screen
Dianela Gahn
Support to complete a peer-reviewed paper applying a Latin American decolonial framework to artificial intelligence
Sithum Vikasitha Jayasinghe
How current fusion models perform under real-world signal degradation, not lab conditions.
David Yu
Yunika Bajracharya
Five-week AI safety fellowship + 3-month project mentorship
Ari Spiesberger
Perform research to rigorously elucidate and quantify generalization versus memorization, and examine evidence of originality in LLMS.
Keith Turausky
Testing an architectural explanation for tension–flow reports during recursive self-focus
Elliot Arledge
Frontier-model sweeps, hardware-roofline scoring, and reward-hacking audits at kernelbench.com. Keeping an independent AI R&D automation benchmark alive.
Austin Chen
testing one two three
Muhammad Faqihuddin Romadlon
An Intervention Towards Animals Under Extreme Heat Stress
TROY TIAN
Yunus Emre Tapan
A hands-on book teaching social scientists to observe, intervene on, and validate what happens inside a language model.
Oliver Klingefjord
A publication about the institutions we need for powerful AI.
Nada Amin
Building LemmaScript, a verification toolchain for TypeScript
Anju Chhetri