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teleo-codex/domains/ai-alignment/feedback-misspecification-creates-exponential-sample-complexity-barrier-in-alignment.md
Teleo Agents f2b9121473 auto-fix: address review feedback on PR #605 
- Applied reviewer-requested changes
- Quality gate pass (fix-from-feedback)

Pentagon-Agent: Auto-Fix <HEADLESS>
2026-03-12 00:01:32 +00:00

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type domain title confidence description created processed_date source
claim ai-alignment Feedback misspecification creates exponential sample complexity barrier in alignment experimental The claim discusses how feedback misspecification can lead to an exponential increase in sample complexity, posing a barrier to alignment. 2023-10-01 2023-10-01 gaikwad-2025

Feedback misspecification in AI alignment can lead to an exponential increase in sample complexity, creating a significant barrier to achieving alignment. This claim is based on theoretical constructs and lacks empirical validation. The model assumes a single reward function can capture context-dependent human values, which may not be accurate.