It’s hard to predict (especially if timelines are long), but if I had to guess I would say that something similar to human feedback on diverse tasks will be the unaligned benchmark we will be trying to beat. In that setting, a training episode is an episode of an RL environment in which the system being trained performs some task and obtains reward chosen by humans.
It’s even harder to predict what our aligned alternatives to this will look like, but they may need to be at least somewhat similar to this in order to remain competitive. In that case, a training episode might look more-or-less the same, but with reward chosen in a more sophisticated way and/or with other training objectives mixed in. The post I linked to discusses some possible modifications.
It’s hard to predict (especially if timelines are long), but if I had to guess I would say that something similar to human feedback on diverse tasks will be the unaligned benchmark we will be trying to beat. In that setting, a training episode is an episode of an RL environment in which the system being trained performs some task and obtains reward chosen by humans.
It’s even harder to predict what our aligned alternatives to this will look like, but they may need to be at least somewhat similar to this in order to remain competitive. In that case, a training episode might look more-or-less the same, but with reward chosen in a more sophisticated way and/or with other training objectives mixed in. The post I linked to discusses some possible modifications.