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Like the N-closest algorithm, the weight of each candidate is given by the inverse of its distance to the input colour. Because of this, both algorithms produce output of a similar quality, although the N-convex method is measurably faster. As with the last algorithm, more details can be found in the original paper[2].
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The OpenAI-powered assistant's other duties sound potentially useful (and decidedly less creepy). It can answer workers' meal prep questions, like how many strips of bacon to put on burgers or instructions for cleaning the shake machine. It's also integrated into the chain's point-of-sale system, so it can tell managers when items are out of stock or machines are down.