Many things need to be done to make civilization robust to future AI capabilities. But what are gaps where there's no one working on the thing?
We have an ontology for identifying gaps, and made a to-do list of needed orgs!
Grateful to @coeff_giving, @EffectiveInst, and @FoundationOAI for supporting this next phase.
And if you've been following Atlas's work: thanks for sticking with us. We're excited to see what we find in the unknown.
Atlas Computing is now Atlas Ignota.
Same approach, bigger map: we're now housed at Convergent Research, funded to apply Field Strategy beyond formal methods to catastrophic AI risk more broadly, and growing from four people to twenty.
If *figuring out what important thing is currently falling through the cracks* or *building the institution that should exist to address it* sounds like your kind of work, we'd love to hear from you.
If you have deep experience in national-security cyber, ML security, or security at a hyperscaler or frontier lab — and you feel like you have to do something about AI risk — apply, or send this to the person you just thought of: https://t.co/d88FDAt9t3
We're hiring 10 Founders-in-Residence to secure AI infrastructure against nation-state-level threats — plus Field Strategists — in partnership with Coefficient Giving. Applications are open now!
Cohort 1 covers six problems in AI infrastructure security: weight exfiltration, model integrity, disconnected model safety, compute verification, AI control, and rogue deployments. More on why these matter: https://t.co/M2XEHVZJ2m