Poor software quality already costs the U.S. economy $2.41 trillion per year, according to a 2022 study by the Consortium for Information & Software Quality. That number was calculated before AI began writing a quarter or more of new code at leading companies. Chris Lattner, the creator of LLVM and Clang, put it bluntly: AI amplifies both good and bad structure. Bad code at AI speed becomes “incomprehensible nightmares.” As AI generates an increasing share of the world’s critical infrastructure (financial systems, medical devices, defense, transportation), unverified code becomes a systemic risk, not just a quality problem.
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数据为数字纪检监察体系提供“源头活水”。过去,在纪检监察工作中,不同部门、环节信息共享程度不够,在个别领域存在监管“盲区”。数字纪检监察体系建设能够有效打破部门间的信息壁垒,建立起覆盖全域的监督网络。此外,数字纪检监察体系能够对重复录入、格式错误、逻辑矛盾的数据,以及来源存疑、真伪难辨的数据,进行“技术筛查+人工复核”双重把关,防止被错误数据“带偏”。这样,数据从采集、筛选到存储、使用都有章可循,实现找得到、可信赖、能用好。,推荐阅读同城约会获取更多信息
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