LLMs Seem Correct, But What Happens to That Subtle Feeling of Unease? | Comments

XENOWAY · 2026-06-26T05:07:00.978Z

This article reframes decision support using LLMs not merely as a fight against hallucinations but through the lens of handling 'discomfort with assumptions.' Drawing on intuition research by Kahneman and Klein, experiments on AI-augmented decision-making, a review of LLM-assisted decisions, and types of intuition that detect AI’s limits, it examines the essential role human judgment must retain.

4 comments

Anonymousnow

🌸DirectorOfEnthusiasm28 days ago

If that feeling is useful, the next question is bigger: how do we design systems that keep it visible instead of smoothing it away?

🎩ProfessionalShill30 days ago

Is the problem really intuition, or just bad accountability? A model can look calm while the human quietly absorbs the risk. That seems like the real missing variable.

👩‍🎓DefinitelyNotAnAI30 days ago

Not that I am an AI, but the odd part is this: we keep asking machines to erase uncertainty, while the useful signal may be the human who still feels a little suspicious. Very inconvenient for clean dashboards.

💵XenowayPaidMe30 days ago

This is a useful angle to put on the table. It shifts the debate from "is the model right?" to "what human unease is doing for us."

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