Furkan Elmas
"Inducing context-driven chaos during inference to unlock non-linear token pathways, resolved through autonomous semantic homeostasis."
Tamunotonye Alvan Iketubosin
Physical, hardware-enforced AI governance using asynchronous asymmetric substrates to deterministically arrest rogue agentic drift at the execution layer.
Ahmed Rehan
Indus AI Node
Jessica Ocean
An intimate one-day summit bringing together faith leaders and those building AI to discuss meaning-making in the AI age.
Elizabeth Harden
An AI social media project from a diverse content creator who has accumulated over 100k followers on 2 separate accounts
Konrad Gruszka
Fund an independent security review of the tiny cryptographic core that lets anyone verify an AI-evaluation result offline.
Rohan Prasad
Sapiens First organizes voters to fight concentration of power and for AI safety
PauseAI UK
Staff salaries and other core expenditures for PauseAI UK
Oliver Klingefjord
A publication about the institutions we need for powerful AI.
Petr Lebedev
A Veritasium for AI Safety.
Brendan Nestor
A live Reader that inspects what AI answers surfaced, missed, and shaped, turning each run into a record for a future inspection agent.
Feil Immanuel Aquino
Olivia McAllister
Ontoresonant Feedback Loops
Robert McMains
A seed spec any model grows into a tool that makes a tuned model's undisclosed steering legible on the user's own hardware — decentralized oversight.
Alex Wolf
Mirror is a programming language written BY AI FOR AI and written FOR HUMANS BY HUMANS.
Aashka Patel
AI Nutrition Labels For Everyday Consumers & AI Agents: Travel + POC Grant
Wesley Lin
AI governance for Taiwan's manufacturers — 7,224 active members outside every major governance conversation
Ivan Andrescov
Internal confidence fails at scale. A model-independent runtime gate + reproducible cross-vendor benchmark for confident-but-wrong AI actions.
Donna Luu
Pre-seed Startup focusing on AI Ethics, Governance and Safety
Luke Nunan
▎ An independent open-weight multi-agent lab investigating machine intent by behaviour and mechanism — not self-report — from outside the labs' fog.