alt Hacker NewsPlease source this claim. What 1GB models are capable of has increased generation-on-generation.
> For example: you can't make a mice-sized brain as smart as a human brain no matter how hard you try.
Sure. We don't know where the ceiling is for our digital minds, though.
They have not increased in capabilities, they have increased in specialization.
If you train a small model in another domain it will begin losing capabilities in the former domain. This is effectively the sigmoid problem.
Although I will admit that if we discover a higher information density algorithm that it might change, but not by a substantial amount to where "super intelligence" in 1gb would be possible.