Ask HN: Will I get burned relying on OpenAI for finetuning?

Way back before ChatGPT, I finetuned a model (curie I believe) on OpenAI. However, the model was always so slow to warm up that I could not use it at scale and had to go back to the generic API in the end.

Have things changed, if you finetune a model, can you make a thousand requests to it and reasonably expect a response?

And relatedly, finetuning remains incredibly good value from what I can see (I was shocked when I first did it with curie that is only cost about $200!) - for great clients - is anybody out there finetuning a model according to each client? I manage Product for an app with power users and we have quite a lot of history/intent information and one use case for generative AI they already like as stands, but it's a bit too "generic". In this case RAG is not as useful as it's "always new" work.