How about this, then. You’ve proposed that LLMs are not capable of conceptualizing, while I propose that the specifics of the internals don’t matter in this case because LLMs are made of dozens of layers which can easily explain higher orders of abstraction, and they exist as black boxes beyond the mechanics of the model. For the record, I personally know the mathematics and mechanics of how they work as I’ve written my own implementations (and I can answer any specific questions you might have). Is there an experiment you can propose which would falsify your assertion that LLMs cannot conceptualize? I’m taking for granted that they can as the null hypothesis because they can readily produce outputs that appear for all intents and purposes to conceptualize.