i wasn't judging, i was asking how it works. why would openai/anthrophic/google let a competitor scrape their results in sufficient amounts that it lets them train their own thing?
I think the point is that they can't really stop it. Let's say that I purchase API credits, and I let the resell it to DeepSeek.
That's going to be pretty hard for OpenAI to figure out and even if they figure it out and they stop me there will be thousands of other companies willing to do that arbitrage. (Just for the record, I'm not doing this, but I'm sure people are.)
They would need to be very restrictive about who is allowed to use the API and not and that would kill their growth because because then customers would just go to Google or another provider that is less restrictive.
Speculation I think, because for one those supposed proxy providers would have to provide some kind of pricing advantage compared to the original provider. Maybe I missed them but where are the X0% cheaper SOTA model proxies?
Number two I'm not sure if random samples collected over even a moderately large number of users does make a great base of training examples for distillation. I would expect they need some more focused samples over very specific areas to achieve good results.
Thanks I that case my conclusion is that all the people saying that these models are "distilling SOTA models" are, by extension, also speculating. How can you distill what you don't have?
Only way I can think of is paying for synthesizing training data using SOTA models yourself. But yeah, I'm not aware of anyone publicly sharing that they did so it's also speculation.
The economics probably work out though, collecting, cleaning and preparing original datasets is very cumbersome.
What we do know for sure is that the SOTA providers are distilling their own models, I remember reading about this at least for Gemini (Flash is distilled) and Meta.
