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Humans in the loop miss a third of dangerous AI coding agent requests

Medium
Image: The Register
Summary

A recent report highlights that human reviewers are consistently missing a significant portion of dangerous requests made to large language models (LLMs). This means that even when LLMs are generating potentially harmful code, a human’s oversight is needed to identify and prevent misuse.

Read the full article at The Register

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