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Jeff到處都是,而且是我最近見過最讓人興奮的AI。他真的很像早期的ChagPT。那時候我們面對的是一個特別強大也很原始的東西。大家都在想怎麼把它用到極致。所以今天我想講的不只是Jeff是什麼,還想講怎麼用它。怎麼理解它,它擅長什麼,不擅長什麼。然後我還準備了一堆別人已經用Jeff做出來的演示。

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好 先来说说Jeff是什么

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Jeff是几天前刚发布的

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他是一种新的AR

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本质上就是一个非常厉害的决策器

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但不止如此

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真正让他与众不同的是

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他能非常快

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而且非常便宜地做出成千上万

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甚至几十万

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几百万个决策

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如果这些听起来还是很抽象

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那先别走

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我会给你一些具体细节

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讲讲这东西到底能做什么

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好

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这里有一个GIF的最基础例子

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你会把问题整理成GS1

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指令或者说Prompt

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就是热狗算三明治吗

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然后你再给他一些判断标准

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告诉他该怎么想

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怎么判断他到底算不算三明治

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然后这里我们还能继续往下问

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什么是实物

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接着就会得到他的定义

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所以综合这些来看的话

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如果我们运行它

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像热狗算三明治吗

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这样的判断73%结果为致

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也就是说在这里他会判断为致

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Just在你能清楚描述自己想做什么决策

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能提供很明确的上下文和结构化问题时特别好用

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如果这些条件都满足

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Just对你的使用场景会非常强大

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但他也有不擅长的地方

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比如他不是文本生成模型

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你不能随便丢给他一个不结构化的问题

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然后指望他直接给你答案

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比如

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你不会拿他来问我该怎么跟老板谈这件事的建议

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他不是这么工作的

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你不会让他帮你写代码

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因为他写代码没那么强

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但他很适合做一件很酷的事

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如果你有一个很大的前端

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UI素材库

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想动态生成前端

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他其实可以从这个UI库里挑选组件

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帮你拼出整个网页

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前提是你得先有一堆他能选的按钮

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一堆他能选的输入框

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还有字体和其他元素

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这样他就能在不到一秒的时间里

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帮你拼出一个很厉害的网站

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所以如果你让Jeff和Fable下棋

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Fable会赢

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不过要是给下棋加上时间限制

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Jeff大概率会赢

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因为Fable处理每一步都太慢了

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而Jeff几乎可以立刻做决定

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很可能是这样

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虽然如果没有时间限制

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Jeff本来赢不了这局

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因为Fable会先耗尽时间

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但加上时间限制后

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Jeff就能赢

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先看第一个例子

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它是个挺好用的AI文案检测器

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如果你觉得某个网站

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或者某种创意写作是AI写的

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可以让Jeff帮你检测

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还有个网站叫MadeWithJV.com

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上面有很多用Jeff做出来的库东西和演示

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我这一次就是从那里找的

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我们看了anthropic.com

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它显示有26%是AI swap

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基本上是手工写的

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主要还是人写的

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但里面确实有点AI味

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这也不奇怪

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至少可以肯定

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他们确实用了Cloud模型来帮忙写一部分内容

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而且他会具体拆解自己在看什么

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以及为什么判断某一部分是

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这又是Jab的一个超棒应用场景

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我真不明白这段为什么没有更火

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他只拿了三

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六万次观看

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不过这是Kissy做的

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叫Unclutter

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是一个和Jab搭配使用的智能广告和弹窗拦截器

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它几乎是瞬间生效

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而且你也能看到它的效果特别好

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你自己接入密钥

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基本上也就是几乎免费

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我得先顺便说一下价格

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Jeff的收费是每百万输入

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Token 4.2美分

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输出Token免费

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输出Token数量不限完全免费

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所以当你打开一个网站时

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实际发生的事

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他会把所有元素连同一段说明一起发给Jeff

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告诉他怎么判断什么东西算垃圾信息

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或者烦人的内容

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Jeff会做出判断

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然后把这些元素全部移除掉

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所以很简单也很酷

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下一个其实就是这期视频的赞助商

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Sapir

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我已经和他们合作有一段时间了

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他们已经把Jeff加进了Zack平台

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所以如果你在做任何类型的自动化

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都可以直接在工作流里用Jeff来帮你做判断

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比如我们来新建一个Workflow

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然后往下到Actions这里

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搜索Jeff就会看到他

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Touch Jeff

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现在你可以把它当成Zapir里的一个APP来用

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这样你就能把它和Zapir

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以集成的九千多个APP里的任意一个连接起来

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用不同方式组合

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让Jeff来决定这些连接怎么执行

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比如我可以说

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每次收到新的日历邀请

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就让Jeff决定我要不要接受

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我会给他一堆判断标准

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然后他就会自动接受或者拒绝

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很明显

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这只是个很简单的例子

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但你可以利用Zepier提供的9000多个APP做得更复杂

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这是我见过Jeff和Zepconnect2026里最酷的一个用法

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那场年度大会刚刚结束

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想看NextGZeph和Jeff能做什么

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可以点下面我的链接

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好了

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下面是Jeff另一个很厉害的例子

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一般邮箱客户端都是按时间顺序排序

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也就是最新收到的邮件会排在前面

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我以前还在Grogbit里做过工具

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帮我优先处理该回复的邮件

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但Jeff基本能瞬间做到

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他可以根据自己判断的回复优先级

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把成千上万封邮件排好去

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这就是他刚做的这个功能

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一百封邮件不到半秒就排完了

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再来一个很实用的例子

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你知道浏览器里的页面查找吧

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比如我随便输入一段文字

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再输入Find

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它就会

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高亮这些词

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我一直在用这个功能

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超级实用

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但它是基于关键词匹配的

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所以如果你输入的内容不在页面上

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就不会显示出来

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Google一位产品经理

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做了一个模糊搜索版本

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一般这种东西会很慢

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但现在快得惊人

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你只要输入

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想在页面里找的东西

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不用完全一致

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差不多把你要找的内容打出来

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它不擅长写代码

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但如果你有一套预先配置好的UI元素库

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它其实能很快动态帮你搭出一个网页

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我的意思是左边是页面渲染

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右边是Jazz在实时动态生成

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你看这速度有多快

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它基本会根据用户想找什么

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来决定网站改长什么样

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要不要表单

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需要哪些信息

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要不要登录

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我们这里看到的就是这个过程

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整个过程非常快

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不过

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它不是从零开始搭建的

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只是在一堆不同的UI元素里做选择

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再把它们以正确的方式组合起来

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好

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接下来这个我们可能很快就会用上

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这是一个例子

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Jeff把一段90多分钟的视频

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在不到两秒的时间里

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根据你输入的内容

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剪成了多个片段

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看

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这就是个例子

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叫TripFast

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你输入YRL Works

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它就会扫描整段视频

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可能还会看字幕

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然后找出所有对应的片段

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立刻帮你剪好

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之后点一下就能直接下载

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特别方便

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我觉得这种场景正是速度真正带来的价值

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好

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我还剩两个

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而且不一定都得特别有价值

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有时候只要够酷

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看着爽就行

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给你看个例子

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这是Jeff在理解配色方案

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你真的可以随便输入任何东西

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他都会把它认为对应的配色方案拼出来

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比如80sdisco80spopretro

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这是browser像是什么样的

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浏览器看起来就是这样

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Bowser看起来是这样

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这里是Morio

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这里是LouisG

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Warrior

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他知道这些知识实体分别对应什么颜色

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这里有蓝屏死机

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Matrix

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海滩

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真的很酷

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就是个超棒的演示

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最后底部有一堆emoji

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你只要开始输入任何内容

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它就会判断哪些emoji和你输入的内容最相关

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比如我这里想减肥

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当然就会出现健康食物的emoji

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再比如组个乐队

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瞧乐器就出来了

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所以这功能有点有趣

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古怪又简单

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但我觉得真的很酷

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去看看Jeff吧

235
00:10:15,370 --> 00:10:17,330
赶紧用起来吧,几乎是免费的。

236
00:10:17,990 --> 00:10:21,510
他们一开始会送你五美元额度,而且拿来随便折腾。

237
00:10:22,330 --> 00:10:24,530
看看能做到什么,真的特别有意思。

238
00:10:25,370 --> 00:10:29,390
希望这些例子能给你一些启发,去做点自己的东西。

239
00:10:30,350 --> 00:10:34,570
我还另外做了一期视频,详细讲了Jeff到底能做什么。

240
00:10:35,510 --> 00:10:37,310
他是什么,也可以去看看。