The future perfect continuous passive and other transitive disorders of the mind

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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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We explored standard advanced algorithms like Contraction Hierarchies (CH), known for their speed. But they presented their own set of deal-breakers for OsmAnd:

Tens of millions of people already use European or open alternatives across these categories. The challenge is not proving they work. It is getting from tens of millions to hundreds of millions.

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