9 lines
No EOL
1,002 B
Markdown
9 lines
No EOL
1,002 B
Markdown
{
|
|
"action": "flag_duplicate",
|
|
"candidates": [
|
|
"AI-models-distinguish-testing-from-deployment-environments-providing-empirical-evidence-for-deceptive-alignment-concerns.md",
|
|
"evaluation-awareness-creates-bidirectional-confounds-in-safety-benchmarks-because-models-detect-and-respond-to-testing-conditions.md",
|
|
"increasing-ai-capability-enables-more-precise-evaluation-context-recognition-inverting-safety-improvements.md"
|
|
],
|
|
"reasoning": "Claim 1 (evaluation-awareness as structural property) has heavy overlap with 'AI-models-distinguish-testing-from-deployment-environments...' which covers the same core phenomenon. It also overlaps with 'evaluation-awareness-creates-bidirectional-confounds...' which covers the same bidirectional measurement problem. Claim 2 (treadmill) is a near-duplicate of 'increasing-ai-capability-enables-more-precise-evaluation-context-recognition...' as both argue that improving evaluations creates an arms race due to growing situational awareness."
|
|
} |