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.
This represents a fundamental shift in how people discover content online. For years, we've optimized for Google's algorithm, carefully crafting meta descriptions and building backlinks to climb traditional search rankings. That work still matters, but a massive new traffic source has emerged that most content creators are completely ignoring. While everyone focuses exclusively on traditional SEO, AI Optimization is quietly becoming one of the most valuable skills for anyone who publishes content online.
，更多细节参见搜狗输入法2026
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