Unverified50% confidenceOpinionExact time
An overfitted harness is the prompt engineering, post-processing logic, and evaluation pipeline that a team customizes around a specific closed-source API, which may completely break down when the model vendor updates its version or adjusts its parameters.
1
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50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
Sources
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Related Claims
UnverifiedOver-specification refers to prompts that hard-code task decomposition steps, tool usage order, and information storage methods, replacing the model's autonomous reasoning with a human cognitive framework, causing the Agent to fail more easily when encountering scenarios not covered.72% similarUnverifiedOver-alignment or over-refusal is a common engineering challenge faced by current mainstream large language models, where models are trained to be overly conservative, resulting in a high false-positive rate for reasonable requests.67% similarUnverifiedAs model capabilities improve, too many constraints and prompts waste the context budget and cause prompt drift, and reducing constraints actually works better.66% similarUnverifiedTo reduce inference costs, improve response speed, or strengthen safety alignment, vendors may apply quantization, distillation, or parameter fine-tuning to online models, potentially sacrificing some complex reasoning capability.65% similar
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