结论并不是简单的「覆盖了多少任务」,而是引入了一个更严格的指标——「有效 AI 覆盖率」:在 Claude 能完成的任务里,究竟有多少是这个职位最核心、最耗时的工作?
This approach shares a lot in common with the idea of multivariate interpolation over scattered data. Multivariate interpolation attempts to estimate values at unknown points within an existing data set and is often used in fields such as geostatistics or for geophysical analysis like elevation modelling. We can think of our colour palette as the set of variables we want to interpolate from, and our input colour as the unknown we’re trying to estimate. We can borrow some ideas from multivariate interpolation to develop more effective dithering algorithms.
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For miles around xAI's makeshift power plant in Southaven, Mississippi, neighbors have endured months of constant roaring, erupting pops, and bursts of high-pitched whining from 27 temporary gas turbines installed without consulting the community.
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