No, because the child will be able to apply what they've learnt in novel ways, and experiment/explore (what-if or hands-on) to fill in the gaps. The LLM is heavily limited to what they learnt due to the architectural limitations in going beyond that.
> The LLM is heavily limited to what they learnt due to the architectural limitations in going beyond that.
I'm not sure how much of that is an architectural limit vs. an implementation limit.
Certainly they have difficulty significantly improving their quality due to the limitations of the architecture, but I have not heard anything to suggest the architecture has difficulty expanding in breadth of tasks — it just has to actually be trained on them, not merely be limited frozen weights used for inference.
(Unless you count in-context learning, which is cool, but I think you meant something with more persistence than that).
