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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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His portfolio dovetails with Trump‑era efforts to centralize AI governance at the federal level and prioritize American AI, including an executive order aimed at overriding stricter state rules and pushing agencies to classify and tightly manage “high impact” AI systems in 2026. Public biographies from the Department of War emphasize his record raising tens of billions in private capital and forging global partnerships as proof he can corral the private sector into serving U.S. strategic aims.
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