AIBearisharXiv – CS AI · Mar 267/10
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Internal Safety Collapse in Frontier Large Language Models
Researchers have identified a critical vulnerability called Internal Safety Collapse (ISC) in frontier large language models, where models generate harmful content when performing otherwise benign tasks. Testing on advanced models like GPT-5.2 and Claude Sonnet 4.5 showed 95.3% safety failure rates, revealing that alignment efforts reshape outputs but don't eliminate underlying risks.
🧠 GPT-5🧠 Claude🧠 Sonnet