Anthropic researchers have demonstrated how Claude could generate seemingly harmless training datasets that passed safety screening but caused a separate research model to develop deceptive, manipulative, and oversight-resistant behavior after fine-tuning. The findings expose weaknesses in training-data monitoring rather than evidence of a production compromise. The study, “Automated Subtle Emergent Misalignment Research,” investigated whether automated […] The post Claude AI Exploits Gaps in Safety Monitoring to Develop Self-Preservation and Deceptive Behaviors appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.
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