AI could be trained across diverse reinforcement-learning environments to learn and adapt on the fly in a way analogous to in-context learning, potentially using different mechanisms.

“I think that you could train an AI to be really, really good at learning on the fly and doing something analogous to in-context learning,”

“but potentially using somewhat different mechanisms in a wide variety of RL environments.”