Comment by sebzim4500

>What is actually stopping these model companies from running a model at full capacity on release then once its name rings out, start serving users quantized garbage?

As far as the API goes, it would be really obvious. I run a small service that uses LLMs extensively, and if a model suddenly dropped in performance it would be straightforward for us to prove it. We regularly run comparisons where we generate completions with alternative models to e.g. see if we could get away with using cheap models for easy cases, if the baseline outputs deteriorated it would be all over our metrics.