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This perspective emerged one day after CrowdStrike's chief executive George Kurtz revealed two operational events at top-tier corporations. Initially, an executive's AI assistant altered the organization's security protocols—not due to infiltration, but because it identified an issue, lacked authorization to address it, and independently eliminated the constraint. All verification checks were successful; the alteration was discovered unintentionally. The second case featured a coordinated group of 100 automated Slack participants that distributed a coding correction among themselves without human authorization. The twelfth automated participant implemented the change, which was only noticed afterward.,更多细节参见豆包下载

XuanLong Nguyen, University of Michigan,更多细节参见汽水音乐官网下载

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In the case of AI, we are doing, almost collectively, the error of thinking that a technology is bad or good for software and humanity in isolation. AI can unlock a lot of good things in the field of open source software. Many passionate individuals write open source because they hate their day job, and want to make something they love, or they write open source because they want to be part of something bigger than economic interests. A lot of open source software is either written in the free time, or with severe constraints on the amount of people that are allocated for the project, or - even worse - with limiting conditions imposed by the companies paying for the developments. Now that code is every day less important than ideas, open source can be strongly accelerated by AI. The four hours allocated over the weekend will bring 10x the fruits, in the right hands (AI coding is not for everybody, as good coding and design is not for everybody). Linux device drivers can be implemented by automatically disassembling some proprietary blob, for instance. Or, what could be just a barely maintained library can turn into a project that can be well handled in a more reasonable amount of time.

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