The speaker proposes detecting representational signatures during training and using them to trigger remediation instead of relying on the model to report its own problems.

“look this broke in this way um you could imagine looking for these sort of representational signatures during training and using these as a signal that you should do this this process rather than relying on a model to tell you you might read its chain of thought or you might like look at these representational signals that we can find and say okay well when this fires like send it back off for fixing um you might try some of these intentional design techniques like”