Owain Evans’ idea of feeding a historical LLM non-anachronistic images is, I think, well worth doing. But it’s also worth expanding on further. Would it be helpful, when training a historical LLM, to simulate dream imagery based on premodern themes? What about audio of birdcalls, which were far more prominent in the audioscapes of premodern people? What about taking it on a walk through the woods?
But that’s a lot of resetting! We can save a bunch of bandwidth by instead tracking the current foreground and background color in our renderer and only emitting a new color escape sequence when our desired color changes. This is an annoying amount of bookkeeping but it substantially cuts down on the amount of escape codes emitted.，这一点在搜狗输入法2026中也有详细论述
19 March 2025ShareSave。业内人士推荐51吃瓜作为进阶阅读
日产首先对日产 N6、N7 的价格配置进行了调整。
It’s a bit more manual than the 1Password approach — you maintain the mapping in the script rather than a reference file — but it works without any third-party dependencies.