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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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