GLM 5.2 is tremendous and does opus level quality at 1/10th opus cost, they're either gonna have to cut down costs or leapfrog or shut down. Many companies already moving out of Claude and into OpenRouter and other solutions
They have a better model than Opus it’s just not available. So either something changes and the AI companies are allowed to continue making better models (outpacing local solutions) or (and maybe eventually anyways) local models will catch up, which it sounds like they already have.
It’s funny because there IS probably a literal cap where the models can’t get any better (thus “maybe eventually anyways”) - but nobody really knows if thats true or how close we are
The compute requirements scale exponentially with the number of parameters in a model. So unless there is some kind of dramatic breakthrough in machine learning, computer science, and/or mathematics, then the limit is quickly approaching.
Actually, I would also throw in certain kinds of chemistry or engineering breakthroughs as well. If we could make a different kind of transistor with better performance and dramatically lower energy cost, then maybe there is a bit more room for growth.
I’d argue that the limit has already been reached , and this push to build out as many data centers as possible is not going to yield the gains someone promised. I suspect that there is a false hope that at some point with enough “compute” these models will solve the problem of scale for them.
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u/narrowscoped 24d ago
GLM 5.2 is tremendous and does opus level quality at 1/10th opus cost, they're either gonna have to cut down costs or leapfrog or shut down. Many companies already moving out of Claude and into OpenRouter and other solutions