Submitted by No_Draft4778 t3_11rmgzs in MachineLearning
harharveryfunny t1_jcchnkp wrote
Reply to comment by Alimbiquated in Modern language models refute Chomsky’s approach to language [R] by No_Draft4778
That's a bogus comparison, for a number of reasons such as:
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These models are learning vastly more than language alone
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These models are learning in an extraordinarily difficult way with *only* "predict next word" feedback and nothing else
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Humans learn in a much more efficient, targetted, way via curiosity-driven knowledge gap filling
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Humans learn via all sorts of modalities in addition to language. Having already learnt a concept then we only need to be given a name for it once for it to stick
Necessary-Meringue-1 t1_jcm5mye wrote
>These models are learning vastly more than language alone
A child growing up does too.
>These models are learning in an extraordinarily difficult way with *only* "predict next word" feedback and nothing else
Literally the point, that LLMs do not learn language like humans at all. Unless you're trying to say that you and I are pure Skinner-type behavioralist learners.
Alimbiquated t1_jcd2z4g wrote
I agree that comparing these learning processes to brains is bogus.
There is a general tendency to assume that if something seems intelligent, it must be like a human brain. It's like assuming that because it's fast, a car must have legs like a horse and eat oats.
Necessary-Meringue-1 t1_jcm6j79 wrote
>There is a general tendency to assume that if something seems intelligent, it must be like a human brain. It's like assuming that because it's fast, a car must have legs like a horse and eat oats.
Ironic, because that is literally what that article is doing.
Alimbiquated t1_jcmi1fd wrote
Right, it makes no sense.
Necessary-Meringue-1 t1_jcmjqhm wrote
I don't understand why it's so hard for people to acknowledge that LLMs deliver extremely impressive results, but that does not mean they have human-like intelligence of language understanding.
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