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Barack Obama: “For elevator music, AI is going to work fine. Music like Bob Dylan or Stevie Wonder, that's different” (musictech.com)
submitted 2 years ago by [M, B] to c/technology@lemmy.world
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Barack Obama: “For elevator music, AI is going to work fine. Music like Bob Dylan or Stevie Wonder, that's different”::Barack Obama has weighed in on AI’s impact on music creation in a new interview, saying, “For elevator music, AI is going to work fine”.

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[–] 14 points 2 years ago* (5 children)

I don’t know. I think Obama kind of nailed it. AI can create boring and mediocre elaborations just fine. But for the truly special and original? It could never.

For the new and special, humans will always be required. End of line.

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  • [–] 7 points 2 years ago (4 children)

    At this point I want a calendar of at what date people say "AI could never" - like "AI could never explain why a joke it's never seen before is funny" (such as March 2019) - and at what date it happens (in that case April 2022).

    (That "explaining the joke" bit is actually what prompted Hinton to quit and switch to worrying about AGI sooner than expected.)

    I'd be wary of betting against neural networks, especially if you only have a casual understanding of them.

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  • [–] 2 points 2 years ago (3 children)

    I mean the limitations of LLMs are very well documented, they aren't going to advance a whole lot more without huge leaps in computing technology. There are limits on how much context they can store for example, so you aren't going to have AIs writing long epic stories without human intervention. And they're fundamentally incapable of originality.

    General AI is another thing altogether that we're still very far away from.

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  • [–] -1 points 2 years ago (2 children)

    Nearly everything you wrote is incorrect.

    As an example, rolling context windows paired with RAG would easily allow for building an implementation of LLMs capable of writing long stories.

    And I'm not sure where you got the idea that they were fundamentally incapable of originality. This part in particular tells me you really don't know how the tech is working.

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  • [–] 4 points 2 years ago* (last edited 2 years ago) (1 child)

    A rolling context window isn't a real solution and will not produce works that even come close to matching the quality of human writers. That's like having a writer who can only remember the last 100 pages they wrote.

    The tech is trained on human created data. Are you suggesting LLMs are capable of creativity and imagination? Lmao - and you try to act like I'm the one who's full of shit.

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  • [–] -1 points 2 years ago

    That's like having a writer who can only remember the last 100 pages they wrote.

    That's why you pair it with RAG.

    The tech is trained on human created data. Are you suggesting LLMs are capable of creativity and imagination?

    They are trained by iterating through network configurations until there's diminishing returns on how accurately they can complete that human created data.

    But they don't just memorize the data. They develop the capabilities to extend it.

    So yes, they absolutely are capable of generating original content that's not in the training set. As has been demonstrated over and over. From explaining jokes not found in the training data, solving riddles not found in it, or combining different concepts to result in a new synthesis not found in the original data.

    What do you think it's doing? Copy/pasting or something?

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