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by cubefox
1214 days ago
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He argued that, because machine learning is just based on correlational statistics, it would never be able to produce reasoning about causation. Which is, at least in retrospect (GPT turned out to be able to do causal reasoning), a fallacy: It's like assuming humans can't think about gold because they do not themselves consist of gold. Or: That humans can't manually evaluate a computer program, because they are not themselves computers. |
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Well, yes, that’s why they were designed in the first place: to carry at scale those repetitive dull tasks that aggregates to an amount which exceeds human abilities and patience.
No, our submarines doesn’t have what it takes to swim, but really there is no drama here: there are still useful amazing peace of engineering.