Jose Oros

Is the music going to be more creative?

Is it going to have different elements?

So that's what we study.

So before I answer that question, I want to just think about, OK, if we think about how these type of systems help or not, in a way, when we think about these generative AI systems,

It's basically, you know, when you have this, it's an idea machine, right?

You can just query it, you can create things, you know, very quickly with a lot of speed.

So in a way, you can think that you're going to have access to these tools and you're going to find that they, you know, give you a lot of ideas that you can leverage and that should increase your creativity, right?

Precisely.

But there's also this other concept of fixation, right?

And it's studied on the literature and the psychology literature for a long time.

But what this tells you is that, basically, these algorithms, such as the ChatGPT, or specifically the one we're looking at is a text-to-music algorithm.

these algorithms tend to produce something that's very probable or high probable patterns, right?

So if you think about how these algorithms produce these patterns, the thing that they're going to produce is going to be highly probable, right?

In the literature, you see that when people listen to these kind of exemplars, then you're going to see that there's a fixation effect.

What does this mean?

Well, if you're looking at an example, then your search on alternatives, specifically in this case for music, is going to be around that exemplar.

So it's hard to get away from that.

And if the exampler itself is something that comes from a high probability, something that's very common, something very average, then it is likely that what you end up producing is going to be very around that average.

Yeah, yeah.

It's a very likely reason that we are seeing these kind of patterns.