AGI to me means capable of absorbing new information on the fly and self-evolution. As long as it is a pre-trained model without live post-training capability, it's not AGI to me.

It is extremely impressive, but it doesn't pick up skills in a lasting manner, and requires a beefy harness for it to perform.

AGI to me means intuition and I don't think that's ever going to happen with a LLM.

How do you define intuition?

Instinct. I think it drives UX. When I am designing an interface, I'm not just parroting something I've seen before. I am calling upon the breadth of my human existence, my professional experience, my empathy, to think about how another human will be using the applications that I create. It paints everything I touch.

LLM will never be able to do that. It can clone things that humans have created in the past but it can't create novel solutions that a human will enjoy without a human at the wheel iterating through prompts until it's great. AGI doesn't mean 'good enough' to me. It means better.

The same goes for another human being though. What you experience and want to visualize need to be described. Whether its a human or AI, you will have the same issues.

Would be nice if we had a better benchmark for creativity.