Comment by slopinthebag
9 hours ago
> Do you see any reason progress will stop abruptly here?
Yeah, money and energy. And fundamental limitations of LLM's. I mean, I'm obviously guessing as well because I'm not an expert, but it's a view shared by some of the biggest experts in the field ¯\_(ツ)_/¯
I just don't really buy the idea that we're going to have near-infinite linear or exponential progress until we reach AGI. Reality rarely works like that.
So far the people who bet against scaling laws have all lost money. That does not mean that their luck won’t change, but we should at least admit the winning streak.
You mean Moore's law? Which is now dead?
No I don't mean that. I mean the LLM parameter scaling laws. More importantly, it doesn't matter if I mean that or Moore's law or anything else, because I'm not making a forward looking prediction.
Read what I wrote.
I'm saying is if you bet AGAINST [LLM] scaling laws--meaning you bet that the output would peter out naturally somehow--you've lost 100% so far.
100%
Tomorrow could be your lucky day.
Or not.
2 replies →
it's not dead. it's enough to look at GB200/GB300 vs Vera Rubin specs.
At the very least, computers are still getting faster. Models will get faster and cheaper to run over time, allowing them more time to "think", and we know that helps. Might be slow progress, but it seems inevitable.
I do agree that exponential progress to AGI is speculation.
You think all AI companies will never release a better model days after they all release better models?
That is a position to take.
I know some proponents have AGI as their target, but to me it seems to be unrelated to the steadily increasing effectiveness of using LLMs to write computer code.
I think of it as just another leap in human-computer interface for programming, and a welcome one at that.
If you imagine it just keeps improving, the end point would be some sort of AGI though. Logically, once you have something better at making software than humans, you can ask it to make a better AI than we were able to make.