New perspective in @NatRevPsych: human intelligence is a matter of scale of information processing, not genetic changes to one domain. Implications for AI, evolution, and development. - with @CantlonLab
rdcu.be/dDoBt
Yes, ChatGPT is amazing and impressive. No, @OpenAI has not come close to addressing the problem of bias. Filters appear to be bypassed with simple tricks, and superficially masked.
And what is lurking inside is egregious.
@Abebab@sama
tw racism, sexism.
Did you know that there are psychologists who study "stereotype accuracy"? I've always wondered what the hell, so I've been reading it recently. For the record, it’s exactly as bad as it sounds.
Here’s a thread.
Large language models change everything for linguistics, starting with Chomsky.
Featuring: LLMs as scientific theories, response to prior takes, "why" questions in language, acquisition... and how the field should have seen this coming.
Paper is here: lingbuzz.net/lingbuzz/007180
I work on mathematical models of cognition at UC Berkeley, and also research the origins of math. All of your questions are wonderful. Here are some shots at answers.
everyone works to make figures that are easy to understand, but this one took me a minute (I thought it was a graphics mistake) and that made the point even stronger
I am sooooooo excited for this paper. We've spent years developing a super fast program induction library. We use it to learn key pieces of language structure.
So much of what Chomskyan linguists say about learnability is totally wrong.
🧵
pnas.org/content/119/5/…
(It’s actually not clear that people without printed materials understand pictures in the same way we do. Here's Tepilit Ole Saitoti, from his autobiography, The Worlds of a Maasai Warrior)