A fundamental flaw leaves LLMs strikingly vulnerable to attack
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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…
1Key Takeaways
- 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….
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3Why it matters
Research breakthroughs often arrive in products months later—early signals matter for strategy. MIT Tech Review reports that 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.
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