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Sequence to sequence learning with neural networks: what a decade

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Re: Sequence to sequence learning with neural networks: what a decade

#31

if you don't want to dip your toe in the festering pile of crap that is X: https://www.youtube.com/watch?v=1yvBqasHLZs

I appreciate the link, but the tone of this comment is very un-HN. I don’t even see people talk that way about 4chan, which one can argue would deserve it more.

these are very un-HN times

Re: Sequence to sequence learning with neural networks: what a decade

#32

Earlier quoted context omitted.

I don’t think that’s broadly true with chess. Did you mean go?

Ilya says in the talk that chess ai is unpredictable even to grand masters.

That's kind of a trivial observation -- if chess AI were predictable to grand masters, then those GMs could play like the AI and thus wouldn't lose to it.

Re: Sequence to sequence learning with neural networks: what a decade

#33

An important point from this talk: The better the models are at reasoning, the less predictable they become. This is analogous to top chess engines which make surprising moves that even human super grandmasters can't always understand. Thus, the future will be unpredictable (if superintelligence takes control). Link to the full talk & the time he talks about this: https://youtu.be/1yvBqasHLZs?si=3M6eZCQtXnW2tSUd&t=86…

4-D chess ?

Re: Sequence to sequence learning with neural networks: what a decade

#34

Earlier quoted context omitted.

I don’t think that’s broadly true with chess. Did you mean go?

Ilya says in the talk that chess ai is unpredictable even to grand masters.

It's not predictable of course, but the parent commend said:

> surprising, even human super grandmasters can't always understand

Of course they don't expect the move, but they always understand it, even if it takes a bit. There's no move an engine makes where grandmasters go "I can't understand this", it may take them a bit, but they will always ultimately have a good idea of why it's the best move.

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