In 2006, Edward Lee published The Problem with Threads. His argument was stark: threads are “wildly nondeterministic,” and the programmer’s job becomes pruning that nondeterminism rather than expressing computation.
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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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财政“账本”里,还藏着云南发展的温度与底气。2025年,全省地方一般公共预算支出首次突破7000亿元大关。钱花在哪里,发展的重点和温度就在哪里。一方面,资金精准投向打基础、利长远的领域,节能环保、交通运输、资源勘探工业信息等支出大幅增长,为产业升级和可持续发展夯实根基;另一方面,“十四五”时期累计一般公共预算支出3.4万亿元,74%以上用于民生,发展的成果正以更公平、更有效的方式,传递到千家万户。