How could an AI assistant learn from its past recommendations instead of just storing them?
Why I askedI wanted earlier experiments to improve later advice. I had been thinking about what an assistant should remember as its models became more capable.
What I learnedI learned that a useful memory needed links from an idea to an action, an observed result, and a later decision. Saving more notes did not close that loop, and missing measurements could not be treated as failed experiments.