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The Linux kernel is getting clearer about what counts as a security bug — and for the first time, that guidance now explicitly covers AI-related vulnerabilities. The new documentation draws a line between bugs that are merely annoying and those that pose genuine security risks, a distinction that becomes harder to make as AI components work their way deeper into the kernel itself.
That question of AI accountability connects to a broader tension playing out in version control. Git, the backbone of nearly all software development, was built for humans writing code in deliberate chunks. AI agents can generate thousands of commits in minutes, with no meaningful messages, no logical structure, and no trail a human reviewer can follow. Developers are increasingly asking whether Git can survive the volume and the noise.
Meanwhile, YouTube is expanding its AI deepfake detection tool to all adult users worldwide. The feature works from a selfie scan of your face, then quietly monitors the platform for lookalikes. If something suspicious surfaces, YouTube flags it and gives you the option to request removal. It is a rare case of a platform handing users a concrete tool rather than a policy document.
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