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The internet has a human slop problem, and AI is exposing it

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AI is accelerating the discovery of security flaws in software that has quietly underpinned the internet for years. The recent “Black October” cybersecurity alarm may look like evidence that AI is creating a new wave of danger, but the central argument is that it is mostly revealing weaknesses people already left in place. Finding and exploiting obscure flaws once demanded substantial expertise; AI tools can now help less-skilled users search software quickly and systematically. The resulting surge in reported vulnerabilities reflects how much risk organizations had learned to tolerate, often treating security reviews as justification for postponing expensive fixes.

That neglect is a human problem: developers and companies routinely settle for “good enough,” while AI agents can persistently test and inspect code without fatigue. The danger is compounded by the internet’s dependence on free, shared software maintained by small teams or volunteers with limited resources. PHP flaws that had existed for years illustrate how resource constraints and disagreements can delay repairs. The companies that rely on such infrastructure, rather than its volunteer maintainers, bear the greater responsibility for funding its upkeep. AI could help address the weakness it exposes: Vercel’s Tom Occhino has proposed a coalition to identify vulnerable software and support safer replacements, while OpenAI’s Patch the Planet effort offers a related example. The priority, the argument concludes, should be repairing essential systems - not panicking about AI or endlessly building new ones.

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The internet has a human slop problem, and AI is exposing it · hn.today