The real annoying thing about Opus 4.6/Codex 5.3 is that it’s impossible to publicly say “Opus 4.5 (and the models that came after it) are an order of magnitude better than coding LLMs released just months before it” without sounding like an AI hype booster clickbaiting, but it’s the counterintuitive truth to my personal frustration. I have been trying to break this damn model by giving it complex tasks that would take me months to do by myself despite my coding pedigree but Opus and Codex keep doing them correctly. On Hacker News I was accused of said clickbaiting when making a similar statement with accusations of “I haven’t had success with Opus 4.5 so you must be lying.” The remedy to this skepticism is to provide more evidence in addition to greater checks and balances, but what can you do if people refuse to believe your evidence?
Intuitively, it’s not too difficult to understand why this is the case. Remember that error-diffusion works in response to the relationship between the input value and the quantised value. In other words, the colour palette is already factored in during the dithering process. On the other hand, ordered dithering is completely agnostic to the colour palette being used. Images are perturbed the same way every time, regardless of the given palette.，推荐阅读旺商聊官方下载获取更多信息
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Фото: Сергей Бобылев / РИА Новости