LLMs have unfixable flaw letting attackers bypass safety, study finds

On July 30, 2026, researchers presented a paper at the International Conference on Machine Learning arguing that large language models have a fundamental, unsolvable security flaw. The flaw stems from how models identify the source of instructions, making them vulnerable to attacks that bypass safety training.