Comment by fxtentacle
14 hours ago
Deterministic feedback is precisely how frontier models are trained. It’s called RLVR. You let the agent run on a problem and then calculate a deterministic score of how well it did. Repeat 1000x times and you can “brute force” a good solution. (Which includes all thinking traces and you add it to your training data.) And then a Chinese model can copy your advance for 1000x less compute. Which is why US labs call this not learning, but a distillation “attack”. It’s an attack on the business model.
I suppose the same way that the normal programmers and artists would call LLMs an attack on licenses and copyright.
Are there good open source setups that generate this training data automatically?
Or is that the secret sauce no one wants to share, the edge people see themselves having.
Labs typically pay $2k for each [prompt+scorer] docker image. So this is why frontier labs need so much cash and manpower and they see it as their moat.
But some of the resellers have freebies, like:
https://app.primeintellect.ai/dashboard/environments?ex_sort...
https://github.com/sierra-research/tau2-bench