So what's to come? My best guess: using AI to make or sign off on NSF funding decisions.

Or at least that's what Musk, Vought, DOGE, etc. want, unless some swift action among scientists, the public, and Congress happens.

If you haven't already, recommend checking out #SaveNSF action toolkit here:

- Cast controlled generation as an inference problem, with the LM as a prior and verifiers and scorers as likelihood
- Use Sequential Monte Carlo to sample from the resulting posterior

Library w/ tutorials for setting up your own controlled generation inference problems: github.com/genlm/genlm-...

now there’s a niche joke

NSF (by congressional mandate) requires applicants to design projects with Broadening Participation goals. Now scientists with these grants may be punished for essentially doing the work they proposed to do in order to get the grants.

The best thing that scientists can do right this moment is organize with each other. Form networks, do coordinated communications: comms to the public, comms to media outlets, comms to Congress. That's the most urgent need.

#philsci #scicomm #neuroskyence #evodevo #publichealth

if you assemble it just right you might end up with two measuring cups