A fundamental flaw leaves LLMs strikingly vulnerable to attack

MIT Technology Review

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原始报道

↗ MIT Technology Review

It is impossible to make large language models fully secure against hacks because of a fundamental flaw in how they work, a team of researchers argue in a paper presented at the International Conference on Machine Learning, a top AI conference, this month. The claim has huge implications for the safety of this technology, which…