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And finally, Hu aims to lessen binary thinking that all work is either done by human or a machine. Reshuffling tasks, Hu says, isn’t so simple. When working with software engineers, Hu encourages them to not fixate on how much new code is being written by AI tools, but instead look at the fuller scope of their workloads.

这不是阿里一家的问题。放眼中国的科技巨头,几乎所有 AI 领先的公司都面临同样的结构性矛盾。百度和腾讯的处境与阿里类似——商业模式建立在云服务和平台抽成之上,小模型的端侧化趋势直接削弱了它们的价值主张。,这一点在搜狗输入法下载中也有详细论述

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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?