Serge Kolesnyak
Traceable Scientific Evidence and Public Knowledge Infrastructure
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.
Ethan Roland
We want to measure & prevent drift in model alignment characteristics during RLVR and continual learning.
Steven Watson
Project Ascend
Jason Prevett
A bricklayer-built research programme on evolutionary transitions, higher-level agency, heredity and the emergence of new adaptive individuals.
The Patented MT Company
Validating bioavailability and metabolic regulation of Molecularly Structured Protein Matrices (MSPM) via in vitro assays with Kaunas University of Technology.
Ruslan Bayandin
A negative result on behavioural testing, a narrow positive one on cryptographic execution proof, and 8 independent attestations anyone can check
Justin Bianchini
Delvin Bisoina
Help local artist gain more exposure and sales.
Nathaniel Tippens
Automated indoor farms for rapid famine response
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
Fauna Films
Factory farming is a problem. Is cultivated meat the solution, or a decade-long detour?
Malcolm Jackson
Support for a team of four & narrative rap about technological change
Andrew Laurent
New Corporate Tax Rate = 2×Profit÷Labor Costs
Kate Lowry
Help Sue Private Intelligence Firms Hitting AI Whistleblowers
Phil Palmer
Deploying customer screening software at DNA synthesis providers to reduce AI-enabled biothreats
Yunika Bajracharya
Five-week AI safety fellowship + 3-month project mentorship
陳鈺澔
An AI platform for crypto and stock analysis, news verification, scam detection and wallet safety, with an open-source Safety Kernel tested on TON.
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.