NLP, cultural analytics. Assistant Professor of CS at University of Colorado Boulder. Books, bikes, games, art. https://maria-antoniak.github.io
Maria Antoniak
In film, "we'll fix it in post" is what you say when something went wrong on set and you don't want to redo it. AI research has made it our entire methodology: train the model, then patch whatever comes out. Our new ICML oral argues this can't be the basis of a science of AI. 🧵
change my view: i have zero desire for this, reddit and slack already exist and i don’t use either of them as public “NLP community” platforms because i don’t want to regularly hear from random people not of my choosing
my first thought about the ocarina of time announcement: do i really have to find all the big poes and collect all the fairy bottles again 😩
Seeing how SOTA models are evolving: becoming more restrictive in usage (decided by the company), less transparent (you cannot tell if the AI lab nerfed your model) + less private (your prompts are stored, no opt out) makes me much more interested in open models + local inference
Quite a list of authors. See also Diyi Yang, @mariaa.bsky.social , M Sagalnik, @manoelhortaribeiro.bsky.social , &c
