AI security firm Irregular has found that passwords generated by major large language models -- Claude, ChatGPT and Gemini -- appear complex but follow predictable patterns that make them crackable in hours, even on decades-old hardware. When researchers prompted Anthropic's Claude Opus 4.6 fifty times in separate conversations, only 30 of the returned passwords were unique, and 18 of the duplicates were the exact same string. The estimated entropy of LLM-generated 16-character passwords came in around 20 to 27 bits, far below the 98 to 120 bits expected of truly random passwords.

Read more of this story at Slashdot.