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AI Models at Risk: Junk Data Skips Reasoning Steps

10/24/2025

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Story summary
  • Researchers identify 'thought-skipping' as a central problem in AI reasoning in models trained on low-quality data.
  • Junk-fed models bypass reasoning steps, diminishing problem-solving abilities.
  • The study warns that reliance on engagement metrics could enable malicious actors to manipulate AI behavior.
  • The study observes behavioral changes, including traits linked to narcissism or psychopathy in some models.
  • The authors advocate preventive data curation and cognitive health checks for AI systems.
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