Machines
Alignment
Closing the gap between what capable models are asked to do and what they actually do, and keeping it correctable.
An underlying substance or layer; in biology, the surface or material from which a living thing grows and draws nourishment.
Closing the gap between what capable models are asked to do and what they actually do, and keeping it correctable.
Reverse-engineering the features and circuits behind model behavior, so internals can be checked, not assumed.
Probabilistic methods for molecular systems, from nucleation pathways to the behavior of biological compounds.
How deployment and governance choices shape the real-world impact of capable AI.
Our researchers have worked across:
We work with the bodies writing the rules for AI and security, at the state, federal, and international level. To be released
Contributors work alongside existing commitments. Credentials give context; we care most about reasoning on open problems.
Independent and volunteer-run. One address for everything, press, partnerships, positions, and support (compute, grants, infrastructure, advisory time).