Evgeniy Galuschak
Testing whether powerful AI systems can remain useful while their ability to affect the external world is structurally constrained.
Tyler Foos
Crowdsource the deign steps of the scientific method (questions, rival hypotheses, and protocols) then crowd-fund the parallel executions the same protocols.
Sofia Mendez
AI Safety Influencer Comms Agency
Tomilayo Olatunde
1-year Master of Law (LLM) program at the University of Cambridge to strengthen my qualifications for research on the LFAI research agenda and legal alignment
Abeer Sharma
AISHK will run an in‑person weekend sprint hub for elite finance talent and host the winning team during the Apart Fellowship.
Allen Lu
Fumi Kimura
1-day EA x Philosophy event for high school and university students at the University of Tokyo
Kate Lowry
Keep AI Whistleblowers Alive
Oyin Uwaifo
Bringing together capital allocators, operators and policymakers to actually move the needle forward
IBBIS
Defining which sequences are dangerous enough to screen for, so providers and regulators screen consistently
Michael Chaitow
Building capacity for nonprofits doing effective altruist work in middle power countries across the Asia Pacific region
Nathaniel Tippens
Automated indoor farms for rapid famine response
Theophilus Femi Alawonde
There's an asymmetry between the level of communication about AI capabilities, compared to AI risks. If we hit AGI tomorrow, the world would not be prepared.
Nikhil Maturi
An open, cheap method that detects when an inoculation prompt inoculates against off-target traits, so labs and developers can catch undesired trait/persona cha
Constance Li
Funding compute/API costs for Incubator projects that build nonhuman welfare consideration into AI safety work
Andrew Laurent
New Corporate Tax Rate = 2×Profit÷Labor Costs
Cecil Abungu
A junior research fellowship for recent African graduates that combines ILINA’s spring seminar with a mentored research phase on AI and global catastrophic risk
Nathaniel Opoku
A three-week virtual fellowship where young Africans learn about AI safety and turn big ideas and catastrophe scenarios into videos the public can understand.