curl 项目创始人被 AI“逼疯”，怒斥垃圾报告堪比 DDoS 攻击！网友：但老板们认为 AI 无所不能

Core Viewpoint - The curl project founder Daniel Stenberg has expressed frustration over the increasing number of low-quality AI-generated vulnerability reports, which he likens to a form of DDoS attack on project maintenance efforts [1][2][3]. Group 1: AI-Generated Reports Impact - Stenberg highlighted that project maintainers are spending excessive time categorizing AI-assisted vulnerability reports, often finding them to be worthless [2][3]. - The proportion of low-quality reports has been steadily increasing, with Stenberg noting that the project has never received a valid bug report generated by AI [3][4]. - The influx of these reports is causing significant strain on open-source maintainers, many of whom are volunteers, leading to potential burnout and attrition within the community [8][9]. Group 2: Community Response and Recommendations - Seth Larson from the Python development team has echoed concerns about the time and resources wasted on these reports, suggesting that they should be considered malicious content [6][7]. - Larson emphasized the need for systemic changes in the open-source security domain, advocating for a more regulated and transparent contribution oversight system [9][10]. - Recommendations include financial support for projects and encouraging more professionals to contribute, creating a more diverse participation landscape [10][11]. Group 3: Ethical Considerations and Accountability - Larson urged vulnerability submitters to adhere to professional ethics and avoid submitting unverified AI-generated reports, as current AI technologies lack true code comprehension [12]. - Vulnerability management platforms are called upon to take responsibility and implement measures to curb the misuse of automated tools and the proliferation of malicious reports [13]. Group 4: Broader Implications and Concerns - The rise of AI-generated reports is seen as part of a larger trend affecting various sectors, with concerns that it could lead to a significant erosion of trust and quality in open-source projects [25][27]. - There is a fear that reliance on AI could mislead management into believing that they can reduce the number of experienced developers, which poses a risk to the integrity of software development [27][28].