I started reading all pissed off because ML has been great for academia! Yes, this sounds like a fair point. It's probably the reason why Insel left Google after less than a year to start his own mental health startup.
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I don't think it's fair.
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It's interesting, because I'm often struck by the idea that "deep learning is just really really complicated curve fitting in lots of dimensions" is adequately responded to "but that's, in and of itself, crazy interesting and powerful!"
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So you drop lots of data through what is an incredibly advanced learning jelly and it conforms in all sorts of strange and interesting ways
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I mean sure but it can't be said not to do the thing.
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absolutely!
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That's ridiculous
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I hate to say it, but 1990 is not twenty years ago, albeit we perceive it as such :)
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indeed... i hope he's using "literally" figuratively
i mean, it's a good rant but
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