That twin would have different weights, and if we are talking about RL-produced mesaoptimizers, it would likely have learned a different misgeneralization of the intended training objective. Therefore, the twin would by default have an utility function misaligned with that of the original AI. This means that while the original AI may find some usefulness in interpreting the weights of its twin if it wants to learn about its own capabilities in situations similar to the training environment, it would not be as useful as having access to its own weights.
That twin would have different weights, and if we are talking about RL-produced mesaoptimizers, it would likely have learned a different misgeneralization of the intended training objective. Therefore, the twin would by default have an utility function misaligned with that of the original AI. This means that while the original AI may find some usefulness in interpreting the weights of its twin if it wants to learn about its own capabilities in situations similar to the training environment, it would not be as useful as having access to its own weights.