Finally, a few words on AI-generated content. I refuse to accept AI-generated entertainment—just like AI coding tools produce redundant, messy, unmaintainable code, AI-generated text/images/audio may seem decent at first glance, but upon closer inspection, they’re repetitive and barren. The fact that word frequency stats can detect them is proof enough. This pattern is unsuitable for true creation, and as a reader, I’m deeply unsatisfied. I’m starting to doubt LLMs’ so-called “creative writing” ability—isn’t it just post-training data being endlessly regurgitated?
Instead of taking the nearest candidates to , we can look for a set of candidates whose centroid is close to . The N-convex algorithm works by finding the closest colour to a given target colour for iterations, where the target is first initialised to be equal to the input pixel. Every iteration the closest colour added to the candidate list, and the quantisation error between it and the original input pixel is added to the target.
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