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 conference, this month. The claim…

Thank you for reading this post, don't forget to subscribe!

Source: MIT Technology Review

Automatically aggregated summary — full article and all rights belong to the original publisher.

Leave a Comment