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”.
There is no way this ages well.
I think, it will eventually become obsolete, because we keep changing what ‘AI’ means, but current AI largely just regurgitates patterns, it doesn’t yet have a way of ‘listening’ to a song and actually judging whether it’s good or bad.
So, it may expertly regurgitate the pattern that makes up a good song, but humans spend a lot of time listening to perfect every little aspect before something becomes an excellent song, and I feel like that will be lost on the pattern regurgitating machine, if it’s forced to deviate from what a human composed.
I have seen a couple successful artists in different genres admit to using AI to help them write some of their most popular songs, and describe it’s use in the songwriting process. You hit the nail on the head with AI not being able to tell if something is good or bad. It takes a human ear for that.
AI is good at coming up with random melodies, chord progressions, and motifs, but it is not nearly as good at composing and producing as humans are, yet. AI is just going to be another instrument for musicians to use, in its current form.
Yeah, I do imagine, it won’t be just AIs either. And then, it will obviously be possible to take it to an excellent song, given enough human hours invested.
I do wonder, how useful it will actually be for that, though. Often times, it really fucks you up to try to go from good to excellent and it can be freeing to start fresh instead. In particular, ‘excellent’ does require creative ideas, which are easier for humans to generate with a fresh start.
But AI may allow us to start over fresh more readily, if it can just give us a full song when needed. Maybe it will even be possible to give it some of those creative snippets and ask it to flesh it all out. We’ll have to see…
As someone who is doing software engineering and my company jumped on AI bandwagon and got us GitHub Copilot. After using it for a while I think overall experience is actually net negative. Yes, sometimes it gets things right, sometimes it provides a correct solution, but often I can write much more concise code. Many times it provides code that looks like it is correct, but after looking in more detail it actually is wrong. So now I’m need to be in guard what code it inserts, which kills all the time that it supposedly saved me. It makes things harder because the code does look like it might work.
It is like pair programming with a complete moron that is very good at picking patterns and trying to use them in following code. So if you do a lot of copy and paste I think it will help.
I think this technology can make bad programmers suck less at programming. I think the LLM problem is that it was trained with existing works and the way it works is that its goal is to convince other human that the result was created by another one, but it isn’t capable to do any actual reasoning.
Wow, my experience has been pretty much the exact opposite of this. Copilot is amazing and I’d rather not go without it ever again
Edit: for the life of me I’ll never understand people. This comment got a bunch of downvotes and yet some douchebag who blindly accuses me of being bad at my job gets upvoted. Fuck people.
Ignore them. At some point you gotta realize most people are losers trying to bring others down with them.
Do what works for you :)
What language you program in and what kind of code you develop? Before Copilot were you frequently searching answers on stackoverflow?
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.
AI can create boring and mediocre elaborations just fine.
Now.
A year ago even the boring stuff was impossible. Six months ago it’d do everything okay but fumble the details. Today? Sometimes the only reason AI art stands out is that models like central framing and eye contact.
Six months from now, I don’t know and you don’t either. You can posture about the indomitable human et cetera and ignore how it mirrors past declarations about what’s possible right now. The joke goes, “AI is whatever hasn’t been done yet.” And buddy, that category never gets bigger.
If there are rules, a deep enough network can discern them. And we are a lot less complex than we’d like to think.
Now who’s trying to predict the future?
I’ll believe it when I see it, and all of the bravado of all of the Internet strangers isn’t going to suddenly make me “believe“. Just because you can’t tell it’s a fake doesn’t mean others won’t be able to discern the difference. 
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.
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.
I think the statement was more about the impact, which will depend on each person’s subjective experience
Personally I agree. Even if AI could produce identical work, the impact would be lessened. Art is more meaningful when you know it took time and was an expression/interpretation by another human (rather than a pattern prediction algorithm Frankenstein-ing existing work together). Combine that with the volume of AI content that’s produced, and the impact of any particular song/art piece is even more limited.
People are social, if enough people feel the same way about one thing it’ll succeed. It doesn’t matter where it came from or how it was made, like how people can still admire and appreciate nature. Or maybe the impact will be that it reduces all impacts. Every group and subgroup might be able to have their own thing.
