This YouTube video (transcript excerpt) discusses whether AI can produce truly original creations versus generating outputs derived from its training data. The speaker uses DALL·E's "avocado chair" example to argue that generative models reproduce or remix existing artifacts from their datasets, and expresses interest in a future where AI could solve novel mathematical problems or invent genuinely new artifacts.
Chapters
It may not be as big of a discovery, but it could be something net new is like, hey, we solved this math equation that's never been solved before. We created something net new that only humans have discovered. That. I think that would be like, a really cool. Like, some invention with AI that is not like a derived. Right. Invention. It's not something that. Because even a picture, like, for example, Dall? E became really famous, right? I don't know if you remember when Dall E came out, it was a. Create an avocado chair, right? So. So it would take, like, these avocado chairs. But then what they found out was that it was drawing inspiration from some avocado chair that someone had actually created. And it was in the database, and that's what it's learning from. So everything is derived with AI, right? It already exists, and that's what it's using. It's not creating anything that new. So I think it would be awesome if it's able to create something that new by the end of the year. That would be freaking wild, you know, because then, you know, the.