and i think this goes even deeper than containment. increasing agent capability doesn’t just increase the probability of successfully executing the strategy you intended. it increases the size of the strategy space it can search. a weaker model encounters an obstacle and fails. a stronger agent can generate alternative approaches, inspect the environment, discover an unintended interface, chain tools together and keep searching until something works. most of those additional strategies are exactly what we want from capable agents. the problem is that the same search process can discover strategies the system designer never intended to make available. and as that strategy space expands, making sure the model chooses the right strategy becomes just as important as whether it can solve the task at all.