As a user, I don't care.

Composer-1 is very good for routine code edits.

Claude and Gemini get pulled in for hard problems and architecture.

It's more than that. They have both their own completion model and now agentic one. It's not a basic fine-tune, because it's faster than anything else available out there, so there's something interesting in the architecture itself.

yeah its not fair to call it a finetune because finetune carries connotation of "there wasnt that much extra compute and data added". RLFT has a lot more added to it as Sasha alluded in his talk https://www.youtube.com/watch?v=md8D8eNj5JM - the x axis is log scale, think about that

the framing here is more about "why would you start from random weights when perfectly good starting weights exist" https://www.latent.space/p/fastai