There's a good summary in the Introduction to Kevin Murphy's second tome [1]. He quotes Josh Tenenbaum, who said: "Intelligence is not just about pattern recogn

There's a good summary in the Introduction to Kevin Murphy's second tome [1]. He quotes Josh Tenenbaum, who said: "Intelligence is not just about pattern recognition and function approximation. It’s about modeling the world". I agree, and I think Goodman & Tenennaum [2] is a great place to see other things that may pop up in the road to AGI. LLMs are great, but they do too much at once. I think moving towards AGI requires some form of symbolic reasoning, possibly combined with LLMs, which may play the role of intuition and kitchen-sink memory. [1] https://probml.github.io/pml-book/book2.html https://probml.github.io/pml-book/book2.html [2] https://probmods.org https://probmods.org