> The magic

Hilarious that you start with that as TAO requires

- Continuous adaptation makes it challenging to track performance changes and troubleshoot issues effectively.

- Advanced monitoring tools and sophisticated logging systems become essential to identify and address issues promptly.

- Adaptive models could inadvertently reinforce biases present in their initial training data or in ongoing feedback.

- Ethical oversight and regular audits are crucial to ensure fairness, transparency, and accountability.

Not much magic in there if it requires good old human oversight every step of the way, is there?

How would that work out barring a complete retraining or human in the loop evals?