This argues that vulnerability reports created with AI cannot simply be ignored: many such reports accurately identify real problems in curl and leaving them unaddressed would put users at risk. Despite the temptation to dismiss anything AI-produced as "slop," the correct response is to treat valid findings seriously. Even though an open source project has no strict legal duty to fix bugs, maintaining a reputation for quality and fulfilling contractual obligations to customers who rely on secure releases make it imperative to investigate and remediate reported flaws.
Practically, the noisy, hallucinated reports of the past have mostly disappeared since spring 2026; the current challenge is a high volume of detailed, AI-assisted submissions. These reports are often overly long and repetitive because reporters hand both discovery and communication to the AI, but they frequently include strong reproducers or proofs-of-concept that speed validation. AIs still struggle to distinguish ordinary bugs from true security vulnerabilities and to gauge severity, so human judgment remains necessary. Lately nearly every vulnerability report to curl shows some AI involvement, making triage and clear processes essential.
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