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I'm fascinated by the implication that in the not so far future we'll reach a point where we can teach a computer to generate arbitrary works of art endlessly.

Want new episodes of Seinfeld? Just feed the existing episodes to an AI and ask it to make new ones. Beatles songs? Ditto. Spotify can look at your playlists and not only recommend tracks that you might like, but actually create some artificially. Post-cultural-scarcity.

Of course by then we might already have reached the Singularity so it'll be a minor aspect of a gigantic revolution.



I'm endlessly fascinated how we on HN have the arrogance to assume we can do things like auto-generate Beatles songs or episodes of Seinfeld. Do you think comedy writers are sitting around the writing room saying "Man, in 5 years we'll be able to take over those nerd jobs, no problem."

To auto-generate Seinfeld or Beatles... you have to be able to create as well as Seinfeld or the Beatles. Try it sometime. When you make a billion dollars and change popular culture, answer this post and I'll eat crow.

Then you need to be able to do what no one else in history has been able to do, which is bottle that skill.

Dude, most of us can't even figure out what kind of nails we'd use to use for exterior siding on a chicken coop.


I wasn't talking about hand-written algorithms like the article is using, I'm talking about machine learning. TFA made me think about it because we've seen a lot of "this X does not exist" lately. I should've been more specific about what I had in mind, I agree that it's a reach with this particular example.

Sure, we're still a long way away, but progress has been exponential. It'll probably take decades but I suspect that we may see something like that in our lifetimes.


> It'll probably take decades but I suspect that we may see something like that in our lifetimes.

Making good stuff is hard. They were saying the same thing in the 50s, 60s, and 70s with other AI approaches. People are actually pretty smart.


That is not remotely implied by generating some algorithmic musical patterns. Good grief with the hyperbole.




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