The bottom-up approach, starting from simpler systems, is much more interesting imo.

Studying how intelligence emerges naturally from simple rules is much more likely to teach us how intelligence arose in the first place.
2/2

3- Ultimately, I believe we won't get to AGI until we solve the deeper challenge: giving true agency and meaning to these machines.

3/3

2- @garymarcus.bsky.social raises a valid point: solving ARC through training isn't true AGI, and such claims are mainly hype. Real AGI should tackle these puzzles through reasoning alone, like humans do - not by optimizing for the benchmark. And I agree with it.

2/3

By not doing research only on LLMs ;)

🤩

I could note find any paper or work proposing AI frameworks like this.
I suppose cause it's hard, but maybe I am missing something?

Right on point, as I am getting more and more interested in this topic :)