Seth Meyers takes A Closer Look at Trumps State of the Union tantrum

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这种“先预演后执行”的能力,成为提升机器人作业成功率的关键。清华大学与斯坦福联合提出的Ctrl-World模型,使用零真机数据即可将下游任务的指令跟随成功率从38.7%提升至83.4%,平均改进幅度达44.7%

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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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