The speaker thinks models used in RLMs remain only moderately capable, mainly because training has focused on harnesses that keep the rollout trajectory in the model's context as a prompt.

“they're not that good still they're okay and i think it's mainly because the types like the class of harness that we are training around is this class of harness this like pie loop this like i like to call it trajectory as a prompt which just means like you keep the whole trajectory of the rollout as the context that that your main model is is using even if you use sub-agents it's still like kind of this form”