Sometimes we want to do prove more interesting things with a digital credential. For example, imagine that I want to join a cryptocurrency exchange that needs more complicated assurances about my identity. For example: it might require that I’m a US resident, but not a resident of New York State (which has its own regulations.) The site might also demand that I’m over the age of 25. (I am literally making these requirements up as I go.) I could satisfy the website on all these fronts using the digitally-signed driver’s license issued by my state’s DMV. This is a real thing! It consists of a signed and structured document full of all sorts of useful information: my home address, state of issue, eye color, birthplace, height, weight, hair color and gender. In this world, the non-anonymous solution is easy: I just hand over my digitally-signed license and the website verifies the properties it needs in the various fields.
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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.。搜狗输入法2026对此有专业解读
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