Computational Cosmetologist

@dferrer.bsky.social

ML Scientist (derogatory), Ex-Cosmologist, Post Large Scale Structuralist I worked on the Great Problems in AI: Useless Facts about Dark Energy, the difference between a bed and a sofa, and now facilitating bank-on-bank violence. Frequentists DNI.

for openai to mess up sandboxing this badly indicates openai didn't take the issue seriously, which you expect because they don't take anything seriously for anthropic to mess it up is rank incompetence

I don’t think anyone here is partial to Musk, but “direct to machine code” is going against every discovery in computation including computation itself! For any given problem, there is likely an analog circuit that solves it. Discreteness and “cycles” and “instructions” are abstractions.

conputer dipshit@davidcrespo.bsky.social · yesterday

it’s a genuinely interesting question: is abstraction merely compensating for our limited cognitive capacity or is it in some way part of the logic of information and therefore valuable for any finite cognizer? my hunch is the latter but I admit I haven’t thought about it too much in those terms

"Oho, you believe ChatGPT is competent at something inversely proportionally to how well you understand it." I thought this was a funny line in Jan 2024 too. But now it's pretty much exactly wrong. I trust LLMs the most to do the tasks I am paid for. I am confident my industry is changing.

All time spent is a tradeoff. The time you spend learning something you hate is time taken away from you pursuing something you love. It’s not sad to prioritize: there are infinite things to learn and finite time in which to learn them.

Tired of RPG companions whose entire personality/ story is a single gimmick. Ok, great, you’re a “Blood Cultist”. But every conversation doesn’t need to revolve around blood and blood cult accessories. Get another hobby.

we told our model with no internet access to hack a fictional company. unfortunately the model had internet access and the company was not fictional

LLMs are really good at book recommendations—the larger models especially. Giving a bunch of books you like and a few in the same vein you don’t with brief explanations has consistently gotten me interesting new picks…

If I had to describe the heart and soul of Bluesky it would the following: a guy who didn’t actually read Emily Wilson’s review of Nolan’s Odyssey movie defending it against a guy who didn’t actually watch Nolan’s Odyssey movie

The people cheering this aren’t wrong on the facts. Academics love to be ostentatiously cruel in feedback. But why are we *celebrating* this? It’s one of the most toxic parts of academic culture. Not as bad as “if you really care about [x], you won’t worry about compensation,” but in the top five.

Casey Stegman@caseystegman.com · last wk.

People who think Emily Wilson is being mean have clearly never presented a paper at an academic conference

Imagining a social platform where if you use a fraught word like “knowledge” or “consciousness”, it pops up a list of interpretations of that word from the relevant SEP article and you have to select which one you mean. Then you get a short quiz on the common objections before you can post.

Can we acknowledge that “intent” is another phenomenon we refer to casually all the time but lack a good consensus definition for? Especially if it’s different from “has an internal state that makes certain future actions more likely than other states would”…

you can attempt throwing a naan bread or a baguette, and if you can beat the average throw length of the other type of bread, you gain $1 000 000. You can also choose to not throw the bread and gain $50 000 instead. Do you throw the bread, and if so which one?

AI and disinfo is a surprisingly nuanced topic: It was easier to manipulate old-style google search than it is claude or gemini, both for those running the services and external actors. But people also seem to have a higher trust in chatbot answers vs. old-style search. Unclear how these play out.