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Haha they did have faith in reinforcement learning or whatever technique they used for training.


Mac is based on FreeBSD I think, and so far in the two years I use one I'm loving it.


Humans learn efficiently, but that has nothing to do with having a lifetime of data I believe. Humans have a lifetime of data, but you can easily parallelize the model such that it takes in more data than a human can in his/her lifetime, and still humans are still the state of the art.


For some of the more 'difficult' domains, like computer hardware architechure, resources on the internet is sparce though.


Not only mention those fields that require lab work, practical field work, and/or specialized equipment or facilities to learn. This site is far too CS and math specific sometimes.


Yeah, you're right.


Yea those would be the exception.

But then again, how many people majoring in biology or chemistry actually end up using anything they learn? I'd wager it's probably a small minority.


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