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?
微软Azure、谷歌云、亚马逊AWS是这一环节的代表，它们的商业模式是将上游硬件转化为可直接使用的算力服务，包括模型训练平台、云存储等，同时通过与上下游形成股权绑定巩固优势，比如微软投资OpenAI后，便锁定了其长期云服务采购需求。
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SpeedPro positions itself as the “last mile of visual marketing” for businesses, providing large-format graphics and signs.
Upstream compilers like Clang/LLVM don’t want to know anything about JS or the web platform, and not just for lack of effort. Generating and maintaining JS and web glue code is a specialty skill that is difficult for already stretched-thin maintainers to justify. They just want to generate a single binary, ideally in a standardized format that can also be used on platforms besides the web.，推荐阅读safew官方下载获取更多信息