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#language#study#reasoning#through#llms#doesn#internal#horribly#explainer#seems

Discussion (5 Comments)Read Original on HackerNews

ashleyn2 minutes ago
Am I off base to view this as a strong hint AGI won't arrive through mere LLMs?
Lerando9 minutes ago
My ex-wife doesn't have internal dialogue. Instead, when she is thinking through something she has images in her head of shapes morphing. She told me that she felt having an internal monologue would be horribly annoying and horribly slow.
myelinscienceabout 3 hours ago
I made a 2-minute animated explainer of this study for a small channel I run: https://youtu.be/pzMBygLewZI?si=YBkRi8nP47RfTVhR — feedback on accuracy welcome.
8lamaster8about 3 hours ago
Nice explainer. One nuance I’d be careful with: “the brain doesn’t think in words” is broader than what the study seems to establish. The stronger result is that the natural-language network is not necessary for the kinds of inductive and deductive reasoning tested here.

The AI implication is fascinating though. We tend to build systems where the language model is simultaneously the language interface, memory, planner, reasoner and controller. Human cognition may be pointing in the opposite architectural direction: separate persistent state, reasoning/control mechanisms and language, then let language be one tool among several.

That distinction seems more interesting to me than simply asking whether LLMs “reason in language.”

myelinscienceabout 3 hours ago
The study tested rule-induction puzzles (number sequences with hidden transformation rules) on two patients whose language networks were destroyed by stroke, plus fMRI on healthy volunteers solving the same puzzles silently. Both lines of evidence point the same way: the language network sits out during reasoning.