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Wrapper，并没有多少含金量，门槛极低。真正门槛高的是LLM（大型语言模型），是高质量的语料库。于是我开始思索GPT接下来会发展成什么样子。微软的 [visual-chatgpt](https://github.com/microsoft/visual-chatgpt) 给了很好的答复，如readme里开头描述的那样：\n> Visual ChatGPT connects ChatGPT and a series of Visual Foundation Models to enable sending and receiving images during chatting.\n\n![](https://github.com/microsoft/visual-chatgpt/raw/main/assets/demo_short.gif)\n\n如图，我们可以使用自然语言从而达到图像处理的目的，这意味着交互模式发生了质的改变，也就是说，GPT不将局限于问答。或者说，一切想象都蕴含在了**答**里。GPT将不仅仅用于Chat，而会接入更多的软件，从而彻底颠覆传统的交互模式，例如微软刚刚发布的office+copilot。想象一下，你可以在剪辑软件里告诉AI你的想法，它会帮你完成剪辑，你可以不停地提修改意见，并最终达到满意的效果；你可以告诉建模软件你需要建哪些模型；你可以在IDEA里直接表述自己的想法，他将会帮你完成一整个后端项目而非此前的对话式coding......而至于传统的符号相关的如翻译、律师等等工作，都将面临巨大的变革。\n\n不禁想起多年前老罗的TNT，罗永浩在发布会上按着Excel的某个cell，然后嘴里说出指令，文字就跃然屏上，这在当时看来极具创新精神的想法貌似将被彻底实现，并且超越。基于自然语言的交互模式究竟会发展到哪种地步，能够彻底实现多模态（输入输出语音、视频等等）会带了怎样的改变，这些实在是不得而知。个人能力在政治以及大量的资本面前都微不足道，我们能做的只有更好的prompt。",null,29,"2023-03-17T15:17:15","2023-03-17T15:17:40",196,"思考",[100,103],{"id":101,"tagName":102},54,"ChatGPT",{"id":104,"tagName":105},55,"OpenAI",{"id":107,"articleCover":108,"articleTitle":109},81,"https://static.gaoyuan.site/articles/54af1c616029ae53c7f48c5030817658.png","GitHub Actions 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