Unlocking Creativity: Why AI Models Struggle to Innovate #artificialintelligence #deeplearning

In this insightful conversation, Demis Hassabis explores one of the most pressing questions in AI: Why do today’s models struggle to be truly creative? Reflecting on the iconic Move 37 from the AlphaGo documentary—a move praised for its creative brilliance—Hassabis contrasts that breakthrough with the current limits of large language models (LLMs). Despite impressive results, LLMs are still bound by their training data, remixing knowledge without inventing anything fundamentally new. Hassabis shares his thoughts on what real AI creativity would look like and what’s missing on the road to AGI. If you’ve ever wondered whether AI can truly imagine, create, or innovate, this video is a must-watch.

So let's talk about creativity for a moment I mean you brought it up a couple of times here that the models are going to have to be creative They're going to have to learn how to invent If we want to call it AGR in my opinion Which is where everybody's trying to go was re-watching the AlphaGo documentary Oh yeah And The algorithms make a creative move They do Move 37 37 Yes I just had it OK Thank you That's interesting because it was a couple years ago the algorithms were already being created Yes Why have we not really seen creativity from large language models I mean this is to me I think the greatest disappointment that people have with these tools is like they say this is very impressive work but it's just limited to the training set will mix and match what it knows but it can't come up with anything new Yeah well look so what and I should probably write this up

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