The human-in-the-loop is tired
7.8 relevance
Score Breakdown
technical depth 8
novelty 7
actionability 8
community 9
strategic 6
personal 9
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Directly addresses human-in-the-loop fatigue in AI systems, highly actionable for developers.
Summary
Developers face a new fatigue from supervising LLM-generated code that is plausible but often incoherent, as described by Pydantic's Douwe who reviews dozens of AI-created PRs daily. This 'supervision fatigue' stems from errors of coherence rather than capability, requiring developers to hold intent while machines produce volumes of mostly-correct output.
Author
Laura Summers