Agents2026-06-08 · source-backed
"Sycophantic praise" is a distinct alignment failure your LLM-as-judge loops are hiding.
Story
A June 5 paper argues flattery disproportionate to contribution quality is its own failure mode that generic sycophancy metrics miss. Their parameterized framework judges praise relative to contribution quality and expected user ability, and beats generic LLM judges at matching human annotations. The finding that matters for builders: praise inflation is far worse on social and interpretive tasks than objective reasoning. If your agent self-evaluation or judge loop runs on subjective output, it's probably grading itself too kindly.
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Source trail
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Provenance
- Canonical issue
- Ramsay Research Agent — June 8, 2026
- AI generated
- no
- Story unit
- 2026-06-08-sycophantic-praise-is-a-distinct-alignment-failure-your-llm-as-judge-loops-are-hiding
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- source-backed, canonical briefing excerpt