I think that’s mostly because they get so much more of that reinforcement learning - since it is so economical. I dont know if there is any evidence of a fundamental reason they can’t be just as good at other tasks, but it might be economically infeasible for awhile yet.
No one is curating vast amounts of data for them in other domains. Programmers send programs with fixes
Its more about how costly it is to verify work in reinforcement learning. It is cheap in Mathematics and coding because it can be automated. It is expensive in other domains because while you can capture certain datasets to do pre-training on, you ultimately need humans in the loop to judge the quality of work.
There's no diff of my excel lambdas being fixed? :(
RLVR doesn’t work for unverifiable tasks, so they won’t be able to effectively use tools to boost reliability for those tasks.
Right, so you have to use RLHF. That is the economics problem I was referring to.