[ufmace]

I agree. There's also the point of hardware dependance.

From all we've seen, the practical ability of AI/LLMs seems to be strongly dependent on how much hardware you throw at it. Seems pretty reasonable to me - I'm skeptical that there's that much out there in gains from more clever code, algorithms, etc on the same amount of physical hardware. Maybe you can get 10% or 50% better or so, but I don't think you're going to get runaway exponential improvement on a static collection of hardware.

Maybe they could design better hardware themselves? Maybe, but then the process of improvement is still gated behind how fast we can physically build next-generation hardware, perfect the tools and techniques needed to make it, deploy with power and cooling and datalinks and all of that other tedious physical stuff.

[astrange]

I think you can get a few more gigantic step functions' worth of improvement on the same hardware. For instance, LLMs don't have any kind of memory, short or long term.