|
|
|
|
|
by OneManyNone
599 days ago
|
|
I think this is greatly complicated by the fact that the human brain has been "pre-trained" (in the deep learning sense) by hundreds of millions of years of evolution. A pre-trained LLM also can also learn new concepts from extremely few examples. Humans may still be much smarter but I think there's a lot of reason to believe that the mechanics are similar. |
|
The argument is based on multiple questionable assumptions of Chomskian linguistics:
- Humans actually learn grammar in the Chomskian way - Syntax is separate from semantics, so only language (utterances) can be learned from uttrances, and not e.g. what is seen in the environment - At least in the Gold's formalization of the argument language is learned only from "positive examples", so e.g. the learner can't observe that some does not understand some utterance
One could argue for a (very) weak form of POS that there has to be some kind of "inductive bias" in the learning system, but this applies to all learning as shown by Kant. The inductive bias can be very generic.