By appropriately scaling the perturbation amount for each colour channel separately, we can also extend this to work with palettes where is different for each colour component, provided that they are still regularly spaced. Unfortunately, the less regular the palette is, the less effective this technique becomes. If we wish to leverage the strengths of ordered dithering for use with irregular or arbitrary palettes, a more general solution is needed.
08:00, 28 февраля 2026Россия
项目已完成理论评估与实验室测试，2025年12月启动首轮产线实测，今年4月将开展二次测试，夏季正式进入规模化试点阶段。，详情可参考safew官方版本下载
for (int i = n - 1; i = 0; i--) {。Line官方版本下载是该领域的重要参考
It’s Not AI Psychosis If It Works#Before I wrote my blog post about how I use LLMs, I wrote a tongue-in-cheek blog post titled Can LLMs write better code if you keep asking them to “write better code”? which is exactly as the name suggests. It was an experiment to determine how LLMs interpret the ambiguous command “write better code”: in this case, it was to prioritize making the code more convoluted with more helpful features, but if instead given commands to optimize the code, it did make the code faster successfully albeit at the cost of significant readability. In software engineering, one of the greatest sins is premature optimization, where you sacrifice code readability and thus maintainability to chase performance gains that slow down development time and may not be worth it. Buuuuuuut with agentic coding, we implicitly accept that our interpretation of the code is fuzzy: could agents iteratively applying optimizations for the sole purpose of minimizing benchmark runtime — and therefore faster code in typical use cases if said benchmarks are representative — now actually be a good idea? People complain about how AI-generated code is slow, but if AI can now reliably generate fast code, that changes the debate.，这一点在同城约会中也有详细论述
Kevin Church/BBC News