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Open Source Maintainers Are Drowning in Junk Bug Reports Written By AI
An anonymous reader shares a report: Software vulnerability submissions generated by AI models have ushered in a "new era of slop security reports for open source" -- and the devs maintaining these projects wish bug hunters would rely less on results produced by machine learning assistants. Seth Lar...
An anonymous reader shares a report: Software vulnerability submissions generated by AI models have ushered in a "new era of slop security reports for open source" -- and the devs maintaining these projects wish bug hunters would rely less on results produced by machine learning assistants. Seth Larson, security developer-in-residence at the Python Software Foundation, raised the issue in a blog post last week, urging those reporting bugs not to use AI systems for bug hunting. As if to underscore the persistence of these concerns, a Curl project bug report posted on December 8 shows that nearly a year after maintainer Daniel Stenberg raised the issue, he's still confronted by "AI slop" -- and wasting his time arguing with a bug submitter who may be partially or entirely automated.
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