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A fundamental flaw leaves LLMs strikingly vulnerable to attack
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…
AI Summary
Researchers have identified a fundamental flaw in the design of large language models (LLMs) that leaves them vulnerable to attack. This weakness is inherent to the models' architecture, making it challenging to achieve full security.
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