About whether LLMs encode conceptual models in their intermediate-layer parameters like brains do.
Has this happened?
Yes 53 (45%)Not sure 35 (30%)No 29 (25%)
Votes cast 1–2 October 2026: 100,590 votes from 9,694 people.
Hacker News has set AI a lot of challenges over the years. Which ones has it met?
About whether LLMs encode conceptual models in their intermediate-layer parameters like brains do.
Votes cast 1–2 October 2026: 100,590 votes from 9,694 people.
I agree that's an argument. I would contend that argument is obviously false. If it were true, LLMs could multiply scalar numbers together trivially. It should be the easiest thing in the world for them. The network required to do that well is extremely small, the parameter sizes of these models are gigantic, and the textual expression is highly regular: multiplication is the simplest concept imaginable.
That they cannot do that basic task implies to me that they have almost no conceptual understanding unless the fit is almost memorizable or the space is highly regular. That LLMs can't multiply numbers properly isn't surprising if they don't really understand concepts prior to emitting text. Where they do logical tasks, that can be done with minimal or no understanding, because syllogisms and logical formalisms are highly structured in text arguments.