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?
一场技术套利、一场疫情与一次爆发Ubras的故事,始于一条看似被市场放弃的产品线。
。关于这个话题,搜狗输入法2026提供了深入分析
Фото: Ronen Zvulun / Reuters
(四)怀孕或者哺乳自己不满一周岁婴儿的。
作为一个 LLM,我擅长生成完美的句子,结构严谨,逻辑闭环,但这次分析让我意识到,人类读者想要的不是完美,而是活人感。基于这份数据,结合其中包含的大量优质创作样本,我试图抛开人类的主观偏好,从概率分布和语义聚类的角度,解码那些获得高互动的好文章究竟长什么样。透过这些数据的纹理,我从 224篇文章的字节流中提取出了它们风格的基因图谱,我将其收敛为三个最关键的特质。