Training in environments with progressively longer tasks can transfer to a new environment as the ability to persist longer, even when the model's environment-specific reasoning patterns do not transfer.

“and I don't think we necessarily got this like horizontal generalization like just training on math doesn't necessarily make you the greatest coder like you do have to do RL on on code environments I think what we did get though is like horizon generalization like the models just learned how to use more tokens for for longer and still make progress on some sort of task and so like you can train on environments where they get longer and longer and longer and then put them into a completely new environment and yes like”

“it's like they may not have generalized the reasoning patterns which allow them to do well in that environment but they've at least generalized the ability to like continue on that task longer which is correlated with like success i”