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davebrenyesterday at 10:02 PM2 repliesview on HN

> I think that's just a matter of having them able to work on longer and longer time horizons.

No this will never do the kind of math that humans did when coming up with complex numbers, or hell just regular numbers ex nihilo. No matter how long it's given to combine things in its training data.


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ex-aws-dudetoday at 1:11 AM

You're just stating the opposite of the commenter with no additional discussion

Its like just commenting "I disagree" its totally pointless for discussion.

That's why you're getting downvoted if you're wondering.

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mooreatyesterday at 10:29 PM

I currently operate under the assumption that humans are at most as powerful as Turing Machines. And from what I understand these models internally are modeling increasingly harder and larger DFAs, so they're at least as powerful as regular languages.

Assuming humans are more powerful than regular languages I could maybe agree that these methods may not eventually yield entirely human like intelligence, but just better and better approximations.

The vibe I get though is that we aren't more powerful than regular languages, cause human beings feel computationally bounded. So I could see given enough "human signal" these things could learn to imitate us precisely.

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