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 has huge implications for the safety of this technology, which...
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AI News is pushing on evals and safety guardrails, which matters for builders hardening agents against prompt injection, reasoning leaks, and other failure modes.
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A fundamental flaw leaves LLMs strikingly vulnerable to attack Why it matters: AI News is pushing on evals and safety guardrails, which matters for builders hardening agents against prompt injection, reasoning leaks, and other failure modes. Source: Technologyreview https://...
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