this post was submitted on 23 May 2024
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[–] kogasa@programming.dev -3 points 7 months ago (8 children)

It must have some internal models of some things, or else it wouldn't be possible to consistently make coherent and mostly reasonable statements. But the fact that it has a reasonable model of things like grammar and conversation doesn't imply that it has a good model of literally anything else, which is unlike a human for whom a basic set of cognitive skills is presumably transferable. Still, the success of LLMs in their actual language-modeling objective is a promising indication that it's feasible for a ML model to learn complex abstractions.

[–] sc_griffith@awful.systems 26 points 7 months ago (4 children)

if I copy a coherent sentence into my clipboard, my clipboard becomes capable of consistently making coherent statements

[–] kogasa@programming.dev -4 points 7 months ago* (last edited 7 months ago) (3 children)

Yes, but that's not how LLMs work. My statement depends heavily on the fact that a LLM like GPT is coaxed into coherence by unsupervised or semi-supervised training. That the training process works is the evidence of an internal model (of language/related concepts), not just the fact that something outputs coherent statements.

[–] self@awful.systems 14 points 7 months ago

let me free up some of your time so you can go figure out how LLMs actually work

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