OpenAI will notify authorities of credible threats after Canada mass shooter's second account was discovered

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Due to this more measured approach, error-diffusion dithering is even better at preserving details and can produce a more organic looking final image. However, the algorithm itself is inherently serial and not easily parallelised. Additionally, the propagation of error can cause small discrepancies in one part of the image to cascade into other distant areas. This is very obvious during animation, where pixels will appear to jitter between frames. It also makes files harder to compress.

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I found one dumb free win (I mistakenly used value receivers on a utility function called on a large struct thousands of times a frame). But the rest of the speedups I found took more effort.