The speaker says RLMs trained on tasks naturally generalize to longer versions when the underlying strategy remains the same and only the length changes.

“As you just naively train your RLM on these tasks,”

“they naturally learn to generalize, for example, to longer tasks because the strategy is basically the same. You're just modifying like a length variable.”