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?
在过去，多终端窗口多agent工作的场景下，你可能需要在 Claude Code、Cursor 或不同终端窗口间来回切换，然后复制粘贴另一个窗口的输出作为上下文。现在，你只需待在你最习惯的 Agent（比如 Claude Code 或 OpenClaw、Trae）里，像指挥官一样下令："用 mco 调度 Codex 和 Gemini (或者其他市面上各种的agent cli) 一起分析这个项目的架构。"，或者通过主agent给他们分配各自的任务并行去调度执行。，详情可参考heLLoword翻译官方下载
，详情可参考safew官方下载
"[In] the 1960s [it] turned out, in hindsight, we had a near-endless schedule margin there," Isaacman said. "That is certainly not the case today. I'd say this is very, very close from a timeline perspective."
Фото: Управление информации ПАО «Газпром»，这一点在同城约会中也有详细论述
Google promises the new image generator will have more advanced world knowledge pulled from the Internet by the Gemini 3.1 LLM. This apparently gives it the necessary information to render objects with greater fidelity and create more accurate infographics. The days of squiggly AI text were already ending, but Google says Nano Banana 2 has Pro-like text accuracy in image outputs.