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GPT models fail at genuine generalization on novel problems

Exactly. Except with the opposite conclusion. Every study so far that tries to test GPT-N for actual generalization has found that it scores no better than random on genuinely new problems — brand new coding problems in particular. This is why it can't do ARC either.

→ View original post on X — @fchollet,

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