普通人如何用好AI，形成生产力

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很多人用人工智能一开始都容易陷入两个误区

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第一种误区是把人工智能当成搜索引擎

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问一句

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拿一个答案

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然后结束

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这样当然有价值

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但只是用了人工智能很小的一部分能力

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第二种误区是把人工智能当成万能大脑

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什么都交给他

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选题

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让他想观点

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让他定内容

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让他写

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最后出来的东西看起来完整

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但往往没有灵魂

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也没有真正属于你的判断

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普通人真正用好人工智能的关键

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不是让人工智能替代自己

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而是理解一件事

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人工智能和人的优势完全不同

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只有把两者的优势组合起来

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人工智能才会从一个聊天工具

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变成你的生产力系统

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人工智能最强的地方不是创造

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而是处理知识

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它可以快速收集信息

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快速阅读大量材料

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快速总结复杂内容

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快速学习一个工具的使用方法

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也可以把已经学到的知识

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按照你的要求重新组织加工和输出

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比如你想学习一个新软件

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过去可能要看几十页说明书

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或者在网上翻很多教程

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现在你可以直接把说明书

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网页教程交给人工智能

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让他帮你总结核心功能

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提炼操作步骤

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甚至根据你的具体需求告诉你应该怎么用

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再比如你想做一期视频过去

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你可能要先查资料

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看报告

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整理观点

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写提纲

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写脚本

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这个过程非常耗时间

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现在人工智能可以帮你完成大量基础工作

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收集信息

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整理资料

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归纳逻辑

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生成初稿

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优化表达

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这就是人工智能的长处

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他学习快

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记忆强

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整理信息快

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调用知识快

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但是人工智能也有明显的缺点

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他并不真正拥有人的经验感受和创造力

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它更多是基于已有文本语言

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逻辑和知识模式来生成答案

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也就是说

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人工智能很擅长把已有的信息重新组织

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但不擅长从现实世界的底层原理出发

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形成真正深刻的洞察

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他可以告诉你很多道理

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但他不知道你的人生处境

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他可以写出一篇看似完整的文章

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但他不知道你的真实经历

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所以如果你完全依赖人工智能

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最后得到的往往是正确

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但平庸的内容看起来没错

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但缺少锋利的观点

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缺少真实的判断

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缺少个人特色

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这就是为什么很多人工智能生成的文章

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读起来很顺

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但读完之后记不住

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人的优势恰恰在于

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人工智能缺少的部分人

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有真实经历

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有情绪

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有价值观

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有审美

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有判断力

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也有创造力

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人可以提出问题

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可以发现需求

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可以形成观点

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可以决定什么重要什么不重要

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但是人的短板也很明显

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学习速度慢

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信息收集慢

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记忆不稳定

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处理大量资料容易疲惫

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尤其是面对那些说明书很长教程

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很多上手门槛高的工具

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普通人很容易卡住

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不是因为我们不聪明

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而是因为学习成本太高

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所以普通人用人工智能的核心逻辑其实很简单

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人负责方向

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人工智能负责执行

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人负责创造

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人工智能

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负责处理知识

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普通人用好人工智能有一个万能公式

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人提供想法

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制定工具和流程

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规定输出格式

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人工智能负责收集信息

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学习信息

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使用信息并完成初步输出

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这句话非常重要

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人工智能不应该替你决定你要做什么

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你要先告诉他你的目标主题

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工具标准和输出格式

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比如你要做一条视频

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不能只对人工智能说

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帮我写个视频脚本

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这样得到的结果通常很普通

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更好的方式是说

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我要做一期关于普通人

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如何用好人工智能的视频

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受众是想提升效率

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但不懂技术的普通人观点是

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人工智能适合处理信息

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人适合提供创意和判断

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请先帮我整理核心逻辑

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再生成一个三段式视频脚本风格要口语化

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开头要有冲突感

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结尾要有行动

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建议你会发现

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当你把主题受众观点

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结构风格和输出格式都讲清楚之后

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人工智能的质量会明显提升

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因为人工智能最怕的不是任务复杂

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而是任务模糊

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你越清楚它越好用

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你越模糊他越平庸

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比如我自己做视频时

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就不会让人工智能从零开始替我决定内容

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通常是我先给出主题和核心观点

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然后指定工具和输出方式

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需要数据分析时

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我会让人工智能使用Python

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需要整理资料时

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我会让人工智能帮我收集和归纳信息

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需要写脚本时

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我会规定结构语气节奏和表达风格

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也就是说真正的创意和方向来自我

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人工智能负责帮我加速完成中间过程

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我给主题

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人工智能帮我查资料

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我给判断

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人工智能帮我补充论据

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我给框架

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人工智能帮我展开内容

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我给格式

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人工智能帮我生成脚本

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如果你是一个普通人

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想真正用好人工智能

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不要一开始就追求复杂玩法

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你可以先从三个场景开始

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第一用人工智能帮你学习

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遇到一个新概念

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新工具

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新行业

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不要直接自己硬啃

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让人工智能先解释基础概念

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再用简单例子说明

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最后给你一份学习路径

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第二用人工智能帮你整理

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无论是文章报告

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会议纪要

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书籍内容

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还是一堆零散想法

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都可以让人工智能帮你归纳重点

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提炼结构

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找出逻辑关系

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第三用人工智能帮你输出

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写文章

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写邮件

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做视频脚本

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做PPT大纲

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写商业计划

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做读书笔记

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他都可以帮你从零散想法变成可交付内容

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嗯但这里有一个前提

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你必须先给方向

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你不能只说帮我写一篇文章

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而要说清楚写给谁看

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解决什么问题

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核心观点是什么

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希望什么风格

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最终要输出成什么格式

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很多人以为

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用好人工智能的关键是掌握某个高级工具

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其实不是

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真正重要的是你会不会提问题

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会不会拆任务

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会不会定义标准

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人工智能时代对普通人最大的机会

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不是每个人都变成程序员

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也不是每个人都去研究模型

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而是每个人都可以拥有一个低成本的知识助手

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过去一个人想做内容

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做研究

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做产品

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做投资分析

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需要花大量时间收集信息和学习工具

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现在这些中间环节被大幅压缩了

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这意味着什么

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意味着普通人真正的差距会从谁

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掌握更多信息转向谁

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更会提出问题

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判断价值

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组织资源持续输出

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信息本身越来越便宜

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真正值钱的是你的判断力

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创造力和执行力

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嗯所以不要把人工智能当成答案机器

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而要把它当成一个超级助理

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你是导演

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他是执行团队

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你是建筑师

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他是施工队

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你是大脑

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他是外接知识库

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普通人用好人工智能的核心

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不是让人工智能替你变聪明

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而是让他帮你少做低价值的重复劳动

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把时间留给真正重要的事情

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最后记住一句话

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未来真正厉害的人

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不一定是最懂人工智能技术的人

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而是最会把自己的想法和人工智能能力

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结合起来的人

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人工智能不会自动让一个人变强

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但它会极大放大一个本来就有想法

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会思考

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愿意行动的人

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普通人用人工智能的最佳问题

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不是问人工智能能帮我做什么

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而是问我想做什么

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然后让人工智能帮我更快做到

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