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.
Yesterday, Axios reported that Hegseth gave Anthropic a deadline of 5:01 PM on Friday to agree to the Pentagon's terms. At the same time, the DoD requested an assessment of its reliance on Claude, an initial step toward potentially labelling Anthropic as a "supply chain risk" — a designation usually reserved for firms from adversaries like China and "never before applied to an American company," Anthropic wrote.
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