@tanayj@AndrewCurran_ well if their finetuning is what it sounds like, which is giving reward for writing in distribution of other human writing, this may not work without labeling human writing as AI as well.
the simplest version of this is mercor has to resell it with “meat on the bone” - google is able to pay more for it because they can capture more of the end value by selling tokens instead of the data.
i’m also sure they probably underwrote it against what they think their experts could do for the same price.
stripe buys openrouter for:
- customers
- data on where tokens are going
- bundling into stripe has interesting usecases like:
- users of application layer products being able to see itemized llm spend by model in their bills from an app layer company.
- byok setups
- plenty plenty more.
its not even model routing in the sense that you may think.
there's a few things good about openrouter for the end user:
- you have access to all the neoclouds & labs, for each model. because uptime mostly sucks, you need to have fallbacks to other providers. (i.e. openai -> azure hosted openai / fireworks -> togetherai -> cerebras)
- you can easily add new models to your product without having to change code
they now more recently have model routing based on the query itself in their fusion models, but this is circa mid '26.
@ArielKwiat feel like there's a big gap btwn rl and other ml. 2020 was the days of few-shot encoder-decoder finetunes, and SFT on t5-series models n stuff.
always think about how much "ASSISTANT:" has defined how llms work. because they understand word semantically, and isn't purely a sep token between user messages, it almost certainly has heavily conditioned all llms sense of what they're supposed to be.
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