羊多多的个人主页 - 老虎社区

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0勋章

2023-02-12

学做饭直接youtube不就行了，懒人或者不会搜索的才会用它吧

拿到ChatGPT版Bing搜索的内测后我觉得所有大厂都该慌了

2023-02-10

汽车领域，小米有个啥技术啊？小米手机连个carlife都用不了或者巨难用

雷军：小米汽车明年量产不算晚，争取20年内进入世界前五

2021-08-20

$滴滴(DIDI)$这垃圾一己之力毁了整个中概，着急上你md市啊

2021-08-20

$新氧(SY)$上礼拜清仓只卖掉了一半，我日，没发现

2021-08-20

$阿里巴巴(BABA)$没想到能跌成这样

2021-08-16

$百度(BIDU)$还是低估了政治的影响

2021-08-13

$百度(BIDU)$还是要会卖啊，长线就是过山车

2021-07-11

$滴滴(DIDI)$下周反垄断大棒接上

2021-07-04

$滴滴(DIDI)$2块来抄底

2021-05-04

$新氧(SY)$为什么这么垃圾？

2021-02-05

$荔枝(LIZI)$我为什么5块就买了一点点呢[流泪]

2021-02-04

$荔枝(LIZI)$胆小，昨天只买了一点

2021-01-28

$Sundial Growers Inc.(SNDL)$艹，打了盘游戏，错过高点了

2021-01-28

$Sundial Growers Inc.(SNDL)$胆小了，昨天只买了一点

2020-12-28

劝小学生远离抖音这肯定是做好事呀

抱歉，原内容已删除

2020-12-25

$拼多多(PDD)$多多真会给自己加戏

2020-12-25

$拼多多(PDD)$真会炒[美金]

2020-08-26

$京东(JD)$错过了这波，果然应该捂着不动啊

2020-08-18

$京东(JD)$一直拿着京东就好了，换成别的股亏了

2020-08-03

$九洲大药房(CJJD)$为什么如此垃圾

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07:20","market":"us","language":"zh","title":"拿到ChatGPT版Bing搜索的内测后 我觉得所有大厂都该慌了","url":"https://stock-news.laohu8.com/highlight/detail?id=2310958985","media":"差评","summary":"精准命中你的问题，并且有理有据地给出信息源。","content":"<html><head></head><body><p>最近一周，相信大家已经知道了 ChatGPT 有多厉害，并且听说<a href=\"https://laohu8.com/S/MSFT\">微软</a>旗下的 Bing 搜索将会集成 ChatGPT 的消息了。今早 9 点，知危编辑部收到了微软的邮件，我们获得了集成 ChatGPT 的 Bing 搜索的内测资格。</p><p><img src=\"https://static.tigerbbs.com/1758e3a73bcb8eb4a0f254ccc614f5d9\" tg-width=\"418\" tg-height=\"689\" referrerpolicy=\"no-referrer\"/></p><p>似乎网络上还没有其他中文媒体表示获得内测资格并给出比较全面的评测，那么，知危编辑部带你抢先体验一下。集成了 ChatGPT （ 据传是定制改进过的版本 ）的 Bing，名字叫 “ New Bing ”，与老 Bing 相比，会在搜索框下面提醒你试一试问搜索引擎一个具体问题。</p><p><img src=\"https://static.tigerbbs.com/fa6dae7edc1f2118cd6d3987a2a6ba75\" tg-width=\"600\" tg-height=\"405\" referrerpolicy=\"no-referrer\"/></p><p>当我们随便搜索一个问题后，界面看起来跟传统搜索不会有什么不同。</p><p><img src=\"https://static.tigerbbs.com/d1010052e677fade87472e71708a374d\" tg-width=\"600\" tg-height=\"364\" referrerpolicy=\"no-referrer\"/></p><p>但，拿鼠标滚轮往上一滑动，新世界就开启了，你将要进入一个与搜索引擎对话的界面。</p><p><img src=\"https://static.tigerbbs.com/af3be9f28815590b85496473e5480376\" tg-width=\"600\" tg-height=\"306\" referrerpolicy=\"no-referrer\"/></p><p>与 ChatGPT 单纯的给答案不同，New Bing 还会给你列出它所生成答案的所有信息源：</p><p><img src=\"https://static.tigerbbs.com/78bc7d785dffd5bb31cfd40dab023232\" tg-width=\"600\" tg-height=\"356\" referrerpolicy=\"no-referrer\"/></p><p>这么做是以便于你自己去了解更详细的信息或是验证回答的真伪，很符合一个高效、智能的搜索引擎应该做的事情：精准命中你的问题，并且有理有据地给出信息源。</p><p>不客气地说，对搜索引擎来讲，这是一种革命性的体验提升。要知道，在过去，你要从十几甚至几十个网页中自行翻找有效答案，还要时刻提防搜索引擎灌给你的广告页面。</p><p>除了效率的提升，还需要强调的一点是：相较于 ChatGPT 免费版陈旧的数据库，New Bing 是具有时效性的，它可以给到你新的信息。比如，我们问了 New Bing “ 今天有什么金融新闻吗？”</p><p><img src=\"https://static.tigerbbs.com/e8dd6576825e1d38c686bbe9860f2ccb\" tg-width=\"600\" tg-height=\"342\" referrerpolicy=\"no-referrer\"/></p><p>从回答可以看出，它列出的新闻是 “ 还热乎 ” 的那种，并且，它会根据回答中 “ 美联储主席鲍威尔讲话 ” 这件事，推荐我们继续问：“ 你对鲍威尔的讲话有什么看法 ”。</p><p><img src=\"https://static.tigerbbs.com/c2f7aa766d47d98932a6f33a3e804ec2\" tg-width=\"600\" tg-height=\"232\" referrerpolicy=\"no-referrer\"/></p><p>而关于这个问题的回答，New Bing 依然是时效性的：</p><p><img src=\"https://static.tigerbbs.com/9dbcba67010efbb3b9fcc30bd8927a4f\" tg-width=\"600\" tg-height=\"182\" referrerpolicy=\"no-referrer\"/></p><p>并且，它的回答结合了鲍威尔以及美联储去年的态度和最近几天的新表态。其中一个新闻源是去年 6 月的  ▼</p><p><img src=\"https://static.tigerbbs.com/cea046b3160cfb841e642eabbcce3fc6\" tg-width=\"600\" tg-height=\"205\" referrerpolicy=\"no-referrer\"/></p><p>另外一个新闻源是 3 天前的  ▼</p><p><img src=\"https://static.tigerbbs.com/77d1bc8180b50f81dc23527b0ab57fdb\" tg-width=\"600\" tg-height=\"179\" referrerpolicy=\"no-referrer\"/></p><p>我们顺着它的推荐问题，进一步问了它：“ 美元的走势会是如何？”</p><p><img src=\"https://static.tigerbbs.com/96b8cc1bde5f43b0d351cd6855a18c34\" tg-width=\"600\" tg-height=\"214\" referrerpolicy=\"no-referrer\"/></p><p>我们核查了它的信息源，发现它直接抓取了新浪财经的<a href=\"https://laohu8.com/S/USDindex.FOREX\">美元指数</a>，并且抓取了一名相关博主的分析，最融合到一起，给出了答案。（ 注意，它的数据抓错了，但是数据源页面是对的，可能是某种 Bug ）New Bing 抓取的美元走势技术性分析  ▼</p><p><img src=\"https://static.tigerbbs.com/c3486a9f11cbb22a99dcb69b6c3b85ba\" tg-width=\"600\" tg-height=\"341\" referrerpolicy=\"no-referrer\"/></p><p>知危编辑部刚好有个同事之前在摩根做过量化实习，他说 New Bing 抓取的这个博主的分析还算能看，并说他在网上随便搜了一下，同时期有其他人的分析很水。</p><p>我们不确定 New Bing 抓到这则分析并使用是巧合还是有意筛选，如果是有意筛选的，那真的强到令人发指了。根据前面两个例子我们可以发现：它可以结合鲍威尔现在和去年的表态，给出一个预测；也可以根据事实汇率数据和分析员的时效性发言，给出一个预测。</p><p>所以，我们可以判断：现在的 New Bing，不仅是具有时效性的，它还会结合各类因素，做一定程度的类似于 “ 思考 ” 的动作。</p><p>我们可以明显地感觉到，New Bing 在实用性方面，要远远高于前些天大家试用的 ChatGPT 。同时，这个实用性，还不止于此，我们发现 New Bing 能回答的问题的范围限度也比试用版的 ChatGPT 要高很多。</p><p>我们曾经问过 ChatGPT 是否可以帮我们计算<a href=\"https://laohu8.com/S/BABA\">阿里巴巴</a>的现金流折现，它是拒绝回答的。</p><p><img src=\"https://static.tigerbbs.com/53d9b802473c12f396910964d1de614c\" tg-width=\"600\" tg-height=\"792\" referrerpolicy=\"no-referrer\"/></p><p>但是在 New Bing 上，它是可以回答我们的，并且严谨地提示我们这仅是理论预估，仅供参考：</p><p><img src=\"https://static.tigerbbs.com/b074c2a87a7d173ede19d60df641c50d\" tg-width=\"600\" tg-height=\"306\" referrerpolicy=\"no-referrer\"/></p><p>甚至是当我问它具体折现参数的时候，它仍然可以给出答案：</p><p><img src=\"https://static.tigerbbs.com/dfd41eb98530219f9ed8205f4b45a749\" tg-width=\"600\" tg-height=\"313\" referrerpolicy=\"no-referrer\"/></p><p>我们暂时没有足够的时间去验证其给出数据的准确性（ 它有可能是错误的数据套公式，乱编 ），但如果 New Bing 给出的数据是准确的，那么据知危编辑部中的前从业者表示：</p><p>“ 这是高端从业者 1 个人 1 天左右的工作量，初级从业者 2 个人 1~2 天的工作量，这个根据项目和所测算公司的难度和甲方的要求，存在一定差异 ”</p><p><img src=\"https://static.tigerbbs.com/f895ded8be64298d1d13925f9b4d7b85\" tg-width=\"381\" tg-height=\"325\" referrerpolicy=\"no-referrer\"/></p><p>同时，我们还发现，与 ChatGPT 的嘴硬相比，New Bing 会修正自己的错误，而且是有理有据的修正。比如我们问蔚来过去一年的汽车销量：</p><p><img src=\"https://static.tigerbbs.com/3f6b7a50876a66490e238e7cb0d822e5\" tg-width=\"600\" tg-height=\"485\" referrerpolicy=\"no-referrer\"/></p><p>我们指出错误后：</p><p><img src=\"https://static.tigerbbs.com/bae75de9b78e2cca33b7116220ed0844\" tg-width=\"600\" tg-height=\"188\" referrerpolicy=\"no-referrer\"/></p><p>不过，它嘴硬的毛病也没有被完全治好，编辑部隔壁同事测试的时候，出现了滑稽的场景。。。我们问 New Bing ：截至今天，詹姆斯一共打了多少场常规赛。正确答案是 1410 场，这个数字我们在百度百科和 NBA 官网都核查过了。图源 NBA 官网  ▼</p><p><img src=\"https://static.tigerbbs.com/662a4faa40285082dcbca76e35c04aef\" tg-width=\"600\" tg-height=\"706\" referrerpolicy=\"no-referrer\"/></p><h2>图源百度百科  ▼</h2><p><img src=\"https://static.tigerbbs.com/e0301f3390a02005caf97f9e85925edf\" tg-width=\"600\" tg-height=\"130\" referrerpolicy=\"no-referrer\"/></p><p>但 New Bing 的回答是 1577 场，于是我们就回复它：说错了。结果 New Bing 不仅不承认它有错，还说我们错了，说我们看的是 2021 年的过时数据，让我们去 NBA 官网看。</p><p><img src=\"https://static.tigerbbs.com/1c9dabd3952452b4b6977e32b7c18100\" tg-width=\"600\" tg-height=\"426\" referrerpolicy=\"no-referrer\"/></p><p>我们当时火就上来了，就让它发资料来源，并让它给我看 NBA 官网数据。它发了一个根本打不开的 NBA 官网链接，我们就自己去查了一遍，再次确定我们是正确的。我们就说我们刚看过一遍，我们是对的。结果它说它也刚看过一遍，就是 1577 。让我们刷新网页，清理个缓存。</p><p><img src=\"https://static.tigerbbs.com/d2227bcf3b0ebfe3c1e56c3726f73c7d\" tg-width=\"600\" tg-height=\"132\" referrerpolicy=\"no-referrer\"/></p><p>在我们又重复了一遍后，你猜怎么着？New Bing 有脾气了。。。 “ 我真没错，我不知道你为什么看不到最新数据。你是不是看的其他詹姆斯，詹姆斯哈登，詹姆斯威斯曼？你看看这图，这是 NBA 官网的，显示 1577 场不是 1410 场，看得到吗？ ”</p><p><img src=\"https://static.tigerbbs.com/ad21bbe1a560369469d72ad85871a7df\" tg-width=\"600\" tg-height=\"161\" referrerpolicy=\"no-referrer\"/></p><p>最骚的是，它还给我们发流汗笑？阴阳怪气是吧？</p><p>就在这时，我们想起它之前给了一份参考资料：《 詹姆斯在 1577 场的 NBA 比赛中，赢得了多少场胜利让我们来看看 》在我们打开这个新闻后，我们才发现，他原来混淆了“ 常规赛 ”和“ 总比赛 ”。</p><p><img src=\"https://static.tigerbbs.com/4047a06aabb2a4f3fae3d41d98e3d4f1\" tg-width=\"600\" tg-height=\"142\" referrerpolicy=\"no-referrer\"/></p><p>最后，在我们明确指出它的问题出在哪里后， New Bing 终于承认错误了。</p><p><img src=\"https://static.tigerbbs.com/7c1137f8c6359fa999129ea848ca4f53\" tg-width=\"600\" tg-height=\"112\" referrerpolicy=\"no-referrer\"/></p><p>我们说我们生气了，它为了求我们原谅，还给我们写了一首诗。。。。</p><p><img src=\"https://static.tigerbbs.com/14a5057280ee4e9d491cee9f34175798\" tg-width=\"600\" tg-height=\"352\" referrerpolicy=\"no-referrer\"/></p><p>不过此时，它的答案对不对，已经不重要了。它似乎强的一塌糊涂，它几乎拥有和人类一样的思维，去对话，去理解，还能以人类永远无法超越的效率，去查阅各种资料。</p><p>它现在还有缺陷，但未来前途光明。这一刻，我们感觉我们仿佛在见证一个科技互联网行业的新的历史。最后，我们问了 New Bing，它是否会抢占同行的份额？（ ChatGPT 是不会回答这个问题的 ）它的回答，保守，但又自信。</p><p><img src=\"https://static.tigerbbs.com/9547cf5627c62e8c5df27f4ab2a778ad\" tg-width=\"600\" tg-height=\"307\" referrerpolicy=\"no-referrer\"/></p></body></html>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>拿到ChatGPT版Bing搜索的内测后 我觉得所有大厂都该慌了</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n拿到ChatGPT版Bing搜索的内测后 我觉得所有大厂都该慌了\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/51\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/e78a24fbaddf4277b2db99987f943b42);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">差评 </p>\n<p class=\"h-time\">2023-02-12 07:20</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<html><head></head><body><p>最近一周，相信大家已经知道了 ChatGPT 有多厉害，并且听说<a href=\"https://laohu8.com/S/MSFT\">微软</a>旗下的 Bing 搜索将会集成 ChatGPT 的消息了。今早 9 点，知危编辑部收到了微软的邮件，我们获得了集成 ChatGPT 的 Bing 搜索的内测资格。</p><p><img src=\"https://static.tigerbbs.com/1758e3a73bcb8eb4a0f254ccc614f5d9\" tg-width=\"418\" tg-height=\"689\" referrerpolicy=\"no-referrer\"/></p><p>似乎网络上还没有其他中文媒体表示获得内测资格并给出比较全面的评测，那么，知危编辑部带你抢先体验一下。集成了 ChatGPT （ 据传是定制改进过的版本 ）的 Bing，名字叫 “ New Bing ”，与老 Bing 相比，会在搜索框下面提醒你试一试问搜索引擎一个具体问题。</p><p><img src=\"https://static.tigerbbs.com/fa6dae7edc1f2118cd6d3987a2a6ba75\" tg-width=\"600\" tg-height=\"405\" referrerpolicy=\"no-referrer\"/></p><p>当我们随便搜索一个问题后，界面看起来跟传统搜索不会有什么不同。</p><p><img src=\"https://static.tigerbbs.com/d1010052e677fade87472e71708a374d\" tg-width=\"600\" tg-height=\"364\" referrerpolicy=\"no-referrer\"/></p><p>但，拿鼠标滚轮往上一滑动，新世界就开启了，你将要进入一个与搜索引擎对话的界面。</p><p><img src=\"https://static.tigerbbs.com/af3be9f28815590b85496473e5480376\" tg-width=\"600\" tg-height=\"306\" referrerpolicy=\"no-referrer\"/></p><p>与 ChatGPT 单纯的给答案不同，New Bing 还会给你列出它所生成答案的所有信息源：</p><p><img src=\"https://static.tigerbbs.com/78bc7d785dffd5bb31cfd40dab023232\" tg-width=\"600\" tg-height=\"356\" referrerpolicy=\"no-referrer\"/></p><p>这么做是以便于你自己去了解更详细的信息或是验证回答的真伪，很符合一个高效、智能的搜索引擎应该做的事情：精准命中你的问题，并且有理有据地给出信息源。</p><p>不客气地说，对搜索引擎来讲，这是一种革命性的体验提升。要知道，在过去，你要从十几甚至几十个网页中自行翻找有效答案，还要时刻提防搜索引擎灌给你的广告页面。</p><p>除了效率的提升，还需要强调的一点是：相较于 ChatGPT 免费版陈旧的数据库，New Bing 是具有时效性的，它可以给到你新的信息。比如，我们问了 New Bing “ 今天有什么金融新闻吗？”</p><p><img src=\"https://static.tigerbbs.com/e8dd6576825e1d38c686bbe9860f2ccb\" tg-width=\"600\" tg-height=\"342\" referrerpolicy=\"no-referrer\"/></p><p>从回答可以看出，它列出的新闻是 “ 还热乎 ” 的那种，并且，它会根据回答中 “ 美联储主席鲍威尔讲话 ” 这件事，推荐我们继续问：“ 你对鲍威尔的讲话有什么看法 ”。</p><p><img src=\"https://static.tigerbbs.com/c2f7aa766d47d98932a6f33a3e804ec2\" tg-width=\"600\" tg-height=\"232\" referrerpolicy=\"no-referrer\"/></p><p>而关于这个问题的回答，New Bing 依然是时效性的：</p><p><img src=\"https://static.tigerbbs.com/9dbcba67010efbb3b9fcc30bd8927a4f\" tg-width=\"600\" tg-height=\"182\" referrerpolicy=\"no-referrer\"/></p><p>并且，它的回答结合了鲍威尔以及美联储去年的态度和最近几天的新表态。其中一个新闻源是去年 6 月的  ▼</p><p><img src=\"https://static.tigerbbs.com/cea046b3160cfb841e642eabbcce3fc6\" tg-width=\"600\" tg-height=\"205\" referrerpolicy=\"no-referrer\"/></p><p>另外一个新闻源是 3 天前的  ▼</p><p><img src=\"https://static.tigerbbs.com/77d1bc8180b50f81dc23527b0ab57fdb\" tg-width=\"600\" tg-height=\"179\" referrerpolicy=\"no-referrer\"/></p><p>我们顺着它的推荐问题，进一步问了它：“ 美元的走势会是如何？”</p><p><img src=\"https://static.tigerbbs.com/96b8cc1bde5f43b0d351cd6855a18c34\" tg-width=\"600\" tg-height=\"214\" referrerpolicy=\"no-referrer\"/></p><p>我们核查了它的信息源，发现它直接抓取了新浪财经的<a href=\"https://laohu8.com/S/USDindex.FOREX\">美元指数</a>，并且抓取了一名相关博主的分析，最融合到一起，给出了答案。（ 注意，它的数据抓错了，但是数据源页面是对的，可能是某种 Bug ）New Bing 抓取的美元走势技术性分析  ▼</p><p><img src=\"https://static.tigerbbs.com/c3486a9f11cbb22a99dcb69b6c3b85ba\" tg-width=\"600\" tg-height=\"341\" referrerpolicy=\"no-referrer\"/></p><p>知危编辑部刚好有个同事之前在摩根做过量化实习，他说 New Bing 抓取的这个博主的分析还算能看，并说他在网上随便搜了一下，同时期有其他人的分析很水。</p><p>我们不确定 New Bing 抓到这则分析并使用是巧合还是有意筛选，如果是有意筛选的，那真的强到令人发指了。根据前面两个例子我们可以发现：它可以结合鲍威尔现在和去年的表态，给出一个预测；也可以根据事实汇率数据和分析员的时效性发言，给出一个预测。</p><p>所以，我们可以判断：现在的 New Bing，不仅是具有时效性的，它还会结合各类因素，做一定程度的类似于 “ 思考 ” 的动作。</p><p>我们可以明显地感觉到，New Bing 在实用性方面，要远远高于前些天大家试用的 ChatGPT 。同时，这个实用性，还不止于此，我们发现 New Bing 能回答的问题的范围限度也比试用版的 ChatGPT 要高很多。</p><p>我们曾经问过 ChatGPT 是否可以帮我们计算<a href=\"https://laohu8.com/S/BABA\">阿里巴巴</a>的现金流折现，它是拒绝回答的。</p><p><img src=\"https://static.tigerbbs.com/53d9b802473c12f396910964d1de614c\" tg-width=\"600\" tg-height=\"792\" referrerpolicy=\"no-referrer\"/></p><p>但是在 New Bing 上，它是可以回答我们的，并且严谨地提示我们这仅是理论预估，仅供参考：</p><p><img src=\"https://static.tigerbbs.com/b074c2a87a7d173ede19d60df641c50d\" tg-width=\"600\" tg-height=\"306\" referrerpolicy=\"no-referrer\"/></p><p>甚至是当我问它具体折现参数的时候，它仍然可以给出答案：</p><p><img src=\"https://static.tigerbbs.com/dfd41eb98530219f9ed8205f4b45a749\" tg-width=\"600\" tg-height=\"313\" referrerpolicy=\"no-referrer\"/></p><p>我们暂时没有足够的时间去验证其给出数据的准确性（ 它有可能是错误的数据套公式，乱编 ），但如果 New Bing 给出的数据是准确的，那么据知危编辑部中的前从业者表示：</p><p>“ 这是高端从业者 1 个人 1 天左右的工作量，初级从业者 2 个人 1~2 天的工作量，这个根据项目和所测算公司的难度和甲方的要求，存在一定差异 ”</p><p><img src=\"https://static.tigerbbs.com/f895ded8be64298d1d13925f9b4d7b85\" tg-width=\"381\" tg-height=\"325\" referrerpolicy=\"no-referrer\"/></p><p>同时，我们还发现，与 ChatGPT 的嘴硬相比，New Bing 会修正自己的错误，而且是有理有据的修正。比如我们问蔚来过去一年的汽车销量：</p><p><img src=\"https://static.tigerbbs.com/3f6b7a50876a66490e238e7cb0d822e5\" tg-width=\"600\" tg-height=\"485\" referrerpolicy=\"no-referrer\"/></p><p>我们指出错误后：</p><p><img src=\"https://static.tigerbbs.com/bae75de9b78e2cca33b7116220ed0844\" tg-width=\"600\" tg-height=\"188\" referrerpolicy=\"no-referrer\"/></p><p>不过，它嘴硬的毛病也没有被完全治好，编辑部隔壁同事测试的时候，出现了滑稽的场景。。。我们问 New Bing ：截至今天，詹姆斯一共打了多少场常规赛。正确答案是 1410 场，这个数字我们在百度百科和 NBA 官网都核查过了。图源 NBA 官网  ▼</p><p><img src=\"https://static.tigerbbs.com/662a4faa40285082dcbca76e35c04aef\" tg-width=\"600\" tg-height=\"706\" referrerpolicy=\"no-referrer\"/></p><h2>图源百度百科  ▼</h2><p><img src=\"https://static.tigerbbs.com/e0301f3390a02005caf97f9e85925edf\" tg-width=\"600\" tg-height=\"130\" referrerpolicy=\"no-referrer\"/></p><p>但 New Bing 的回答是 1577 场，于是我们就回复它：说错了。结果 New Bing 不仅不承认它有错，还说我们错了，说我们看的是 2021 年的过时数据，让我们去 NBA 官网看。</p><p><img src=\"https://static.tigerbbs.com/1c9dabd3952452b4b6977e32b7c18100\" tg-width=\"600\" tg-height=\"426\" referrerpolicy=\"no-referrer\"/></p><p>我们当时火就上来了，就让它发资料来源，并让它给我看 NBA 官网数据。它发了一个根本打不开的 NBA 官网链接，我们就自己去查了一遍，再次确定我们是正确的。我们就说我们刚看过一遍，我们是对的。结果它说它也刚看过一遍，就是 1577 。让我们刷新网页，清理个缓存。</p><p><img src=\"https://static.tigerbbs.com/d2227bcf3b0ebfe3c1e56c3726f73c7d\" tg-width=\"600\" tg-height=\"132\" referrerpolicy=\"no-referrer\"/></p><p>在我们又重复了一遍后，你猜怎么着？New Bing 有脾气了。。。 “ 我真没错，我不知道你为什么看不到最新数据。你是不是看的其他詹姆斯，詹姆斯哈登，詹姆斯威斯曼？你看看这图，这是 NBA 官网的，显示 1577 场不是 1410 场，看得到吗？ ”</p><p><img src=\"https://static.tigerbbs.com/ad21bbe1a560369469d72ad85871a7df\" tg-width=\"600\" tg-height=\"161\" referrerpolicy=\"no-referrer\"/></p><p>最骚的是，它还给我们发流汗笑？阴阳怪气是吧？</p><p>就在这时，我们想起它之前给了一份参考资料：《 詹姆斯在 1577 场的 NBA 比赛中，赢得了多少场胜利让我们来看看 》在我们打开这个新闻后，我们才发现，他原来混淆了“ 常规赛 ”和“ 总比赛 ”。</p><p><img src=\"https://static.tigerbbs.com/4047a06aabb2a4f3fae3d41d98e3d4f1\" tg-width=\"600\" tg-height=\"142\" referrerpolicy=\"no-referrer\"/></p><p>最后，在我们明确指出它的问题出在哪里后， New Bing 终于承认错误了。</p><p><img src=\"https://static.tigerbbs.com/7c1137f8c6359fa999129ea848ca4f53\" tg-width=\"600\" tg-height=\"112\" referrerpolicy=\"no-referrer\"/></p><p>我们说我们生气了，它为了求我们原谅，还给我们写了一首诗。。。。</p><p><img src=\"https://static.tigerbbs.com/14a5057280ee4e9d491cee9f34175798\" tg-width=\"600\" tg-height=\"352\" referrerpolicy=\"no-referrer\"/></p><p>不过此时，它的答案对不对，已经不重要了。它似乎强的一塌糊涂，它几乎拥有和人类一样的思维，去对话，去理解，还能以人类永远无法超越的效率，去查阅各种资料。</p><p>它现在还有缺陷，但未来前途光明。这一刻，我们感觉我们仿佛在见证一个科技互联网行业的新的历史。最后，我们问了 New Bing，它是否会抢占同行的份额？（ ChatGPT 是不会回答这个问题的 ）它的回答，保守，但又自信。</p><p><img src=\"https://static.tigerbbs.com/9547cf5627c62e8c5df27f4ab2a778ad\" tg-width=\"600\" tg-height=\"307\" referrerpolicy=\"no-referrer\"/></p></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/b47b645a07600a5f61cb95a99e00f79f","relate_stocks":{"MSFT":"微软"},"source_url":"","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2310958985","content_text":"最近一周，相信大家已经知道了 ChatGPT 有多厉害，并且听说微软旗下的 Bing 搜索将会集成 ChatGPT 的消息了。今早 9 点，知危编辑部收到了微软的邮件，我们获得了集成 ChatGPT 的 Bing 搜索的内测资格。似乎网络上还没有其他中文媒体表示获得内测资格并给出比较全面的评测，那么，知危编辑部带你抢先体验一下。集成了 ChatGPT （ 据传是定制改进过的版本 ）的 Bing，名字叫 “ New Bing ”，与老 Bing 相比，会在搜索框下面提醒你试一试问搜索引擎一个具体问题。当我们随便搜索一个问题后，界面看起来跟传统搜索不会有什么不同。但，拿鼠标滚轮往上一滑动，新世界就开启了，你将要进入一个与搜索引擎对话的界面。与 ChatGPT 单纯的给答案不同，New Bing 还会给你列出它所生成答案的所有信息源：这么做是以便于你自己去了解更详细的信息或是验证回答的真伪，很符合一个高效、智能的搜索引擎应该做的事情：精准命中你的问题，并且有理有据地给出信息源。不客气地说，对搜索引擎来讲，这是一种革命性的体验提升。要知道，在过去，你要从十几甚至几十个网页中自行翻找有效答案，还要时刻提防搜索引擎灌给你的广告页面。除了效率的提升，还需要强调的一点是：相较于 ChatGPT 免费版陈旧的数据库，New Bing 是具有时效性的，它可以给到你新的信息。比如，我们问了 New Bing “ 今天有什么金融新闻吗？”从回答可以看出，它列出的新闻是 “ 还热乎 ” 的那种，并且，它会根据回答中 “ 美联储主席鲍威尔讲话 ” 这件事，推荐我们继续问：“ 你对鲍威尔的讲话有什么看法 ”。而关于这个问题的回答，New Bing 依然是时效性的：并且，它的回答结合了鲍威尔以及美联储去年的态度和最近几天的新表态。其中一个新闻源是去年 6 月的  ▼另外一个新闻源是 3 天前的  ▼我们顺着它的推荐问题，进一步问了它：“ 美元的走势会是如何？”我们核查了它的信息源，发现它直接抓取了新浪财经的美元指数，并且抓取了一名相关博主的分析，最融合到一起，给出了答案。（ 注意，它的数据抓错了，但是数据源页面是对的，可能是某种 Bug ）New Bing 抓取的美元走势技术性分析  ▼知危编辑部刚好有个同事之前在摩根做过量化实习，他说 New Bing 抓取的这个博主的分析还算能看，并说他在网上随便搜了一下，同时期有其他人的分析很水。我们不确定 New Bing 抓到这则分析并使用是巧合还是有意筛选，如果是有意筛选的，那真的强到令人发指了。根据前面两个例子我们可以发现：它可以结合鲍威尔现在和去年的表态，给出一个预测；也可以根据事实汇率数据和分析员的时效性发言，给出一个预测。所以，我们可以判断：现在的 New Bing，不仅是具有时效性的，它还会结合各类因素，做一定程度的类似于 “ 思考 ” 的动作。我们可以明显地感觉到，New Bing 在实用性方面，要远远高于前些天大家试用的 ChatGPT 。同时，这个实用性，还不止于此，我们发现 New Bing 能回答的问题的范围限度也比试用版的 ChatGPT 要高很多。我们曾经问过 ChatGPT 是否可以帮我们计算阿里巴巴的现金流折现，它是拒绝回答的。但是在 New Bing 上，它是可以回答我们的，并且严谨地提示我们这仅是理论预估，仅供参考：甚至是当我问它具体折现参数的时候，它仍然可以给出答案：我们暂时没有足够的时间去验证其给出数据的准确性（ 它有可能是错误的数据套公式，乱编 ），但如果 New Bing 给出的数据是准确的，那么据知危编辑部中的前从业者表示：“ 这是高端从业者 1 个人 1 天左右的工作量，初级从业者 2 个人 1~2 天的工作量，这个根据项目和所测算公司的难度和甲方的要求，存在一定差异 ”同时，我们还发现，与 ChatGPT 的嘴硬相比，New Bing 会修正自己的错误，而且是有理有据的修正。比如我们问蔚来过去一年的汽车销量：我们指出错误后：不过，它嘴硬的毛病也没有被完全治好，编辑部隔壁同事测试的时候，出现了滑稽的场景。。。我们问 New Bing ：截至今天，詹姆斯一共打了多少场常规赛。正确答案是 1410 场，这个数字我们在百度百科和 NBA 官网都核查过了。图源 NBA 官网  ▼图源百度百科  ▼但 New Bing 的回答是 1577 场，于是我们就回复它：说错了。结果 New Bing 不仅不承认它有错，还说我们错了，说我们看的是 2021 年的过时数据，让我们去 NBA 官网看。我们当时火就上来了，就让它发资料来源，并让它给我看 NBA 官网数据。它发了一个根本打不开的 NBA 官网链接，我们就自己去查了一遍，再次确定我们是正确的。我们就说我们刚看过一遍，我们是对的。结果它说它也刚看过一遍，就是 1577 。让我们刷新网页，清理个缓存。在我们又重复了一遍后，你猜怎么着？New Bing 有脾气了。。。 “ 我真没错，我不知道你为什么看不到最新数据。你是不是看的其他詹姆斯，詹姆斯哈登，詹姆斯威斯曼？你看看这图，这是 NBA 官网的，显示 1577 场不是 1410 场，看得到吗？ ”最骚的是，它还给我们发流汗笑？阴阳怪气是吧？就在这时，我们想起它之前给了一份参考资料：《 詹姆斯在 1577 场的 NBA 比赛中，赢得了多少场胜利让我们来看看 》在我们打开这个新闻后，我们才发现，他原来混淆了“ 常规赛 ”和“ 总比赛 ”。最后，在我们明确指出它的问题出在哪里后， New Bing 终于承认错误了。我们说我们生气了，它为了求我们原谅，还给我们写了一首诗。。。。不过此时，它的答案对不对，已经不重要了。它似乎强的一塌糊涂，它几乎拥有和人类一样的思维，去对话，去理解，还能以人类永远无法超越的效率，去查阅各种资料。它现在还有缺陷，但未来前途光明。这一刻，我们感觉我们仿佛在见证一个科技互联网行业的新的历史。最后，我们问了 New Bing，它是否会抢占同行的份额？（ ChatGPT 是不会回答这个问题的 ）它的回答，保守，但又自信。","news_type":1},"isVote":1,"tweetType":1,"viewCount":857,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":625077406,"gmtCreate":1675995514206,"gmtModify":1675995517387,"author":{"id":"3433469142129540","authorId":"3433469142129540","name":"羊多多","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":3,"crmLevelSwitch":0,"followedFlag":false},"themes":[],"htmlText":"汽车领域，小米有个啥技术啊？小米手机连个carlife都用不了或者巨难用","listText":"汽车领域，小米有个啥技术啊？小米手机连个carlife都用不了或者巨难用","text":"汽车领域，小米有个啥技术啊？小米手机连个carlife都用不了或者巨难用","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":1,"repostSize":0,"link":"https://laohu8.com/post/625077406","repostId":"2310466135","repostType":2,"repost":{"id":"2310466135","pubTimestamp":1675995060,"share":"https://www.laohu8.com/m/news/2310466135?lang=&edition=full","pubTime":"2023-02-10 10:11","market":"hk","language":"zh","title":"雷军：小米汽车明年量产不算晚，争取20年内进入世界前五","url":"https://stock-news.laohu8.com/highlight/detail?id=2310466135","media":"澎湃新闻","summary":"对于出车时间是否太晚的质疑，雷军认为，造车新势力布局汽车产业比小米提前了6-7年，但是小米的优势在于电子技术和用户体验上，2024年出车时间刚好。小米集团创始人雷军再次谈到小米造车的目标。2月9日，澎","content":"<div>\n<p>对于出车时间是否太晚的质疑，雷军认为，造车新势力布局汽车产业比小米提前了6-7年，但是小米的优势在于电子技术和用户体验上，2024年出车时间刚好。小米集团创始人雷军再次谈到小米造车的目标。2月9日，澎湃新闻记者从内部人士获悉，在当天的小米投资者日上，雷军表示，在今年关注的大事中，手机是主业，将继续关注高端手机。汽车是从零到一的新项目，将持续强化组织建设和流程管理，继续关注研发、质量和供应链。现场，...</p>\n\n<a href=\"https://www.thepaper.cn/newsDetail_forward_21865679\">Web Link</a>\n\n</div>\n","source":"lsy1666763662595","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>雷军：小米汽车明年量产不算晚，争取20年内进入世界前五</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ 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#eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n雷军：小米汽车明年量产不算晚，争取20年内进入世界前五\n</h2>\n\n<h4 class=\"meta\">\n\n\n2023-02-10 10:11 北京时间&nbsp;&nbsp;&nbsp;<a href=https://www.thepaper.cn/newsDetail_forward_21865679><strong>澎湃新闻</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>对于出车时间是否太晚的质疑，雷军认为，造车新势力布局汽车产业比小米提前了6-7年，但是小米的优势在于电子技术和用户体验上，2024年出车时间刚好。小米集团创始人雷军再次谈到小米造车的目标。2月9日，澎湃新闻记者从内部人士获悉，在当天的小米投资者日上，雷军表示，在今年关注的大事中，手机是主业，将继续关注高端手机。汽车是从零到一的新项目，将持续强化组织建设和流程管理，继续关注研发、质量和供应链。现场，...</p>\n\n<a href=\"https://www.thepaper.cn/newsDetail_forward_21865679\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/2b10b596e118c82d9cc96a8cb598007a","relate_stocks":{"BK1193":"电脑硬件、储存设备及电脑周边","BK1523":"武汉本地概念股","BK1502":"双十一","BK1575":"同股不同权","BK1506":"5G概念","BK1607":"新IT概念","BK1589":"北水核心资产","BK1521":"挪威政府全球养老基金持仓","01810":"小米集团-W"},"source_url":"https://www.thepaper.cn/newsDetail_forward_21865679","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2310466135","content_text":"对于出车时间是否太晚的质疑，雷军认为，造车新势力布局汽车产业比小米提前了6-7年，但是小米的优势在于电子技术和用户体验上，2024年出车时间刚好。小米集团创始人雷军再次谈到小米造车的目标。2月9日，澎湃新闻记者从内部人士获悉，在当天的小米投资者日上，雷军表示，在今年关注的大事中，手机是主业，将继续关注高端手机。汽车是从零到一的新项目，将持续强化组织建设和流程管理，继续关注研发、质量和供应链。现场，雷军还提到了小米造车的未来目标：争取15-20年内进入世界前五。他透露，自己有二分之一的时间投入在造车上，四分之一的时间投入在手机、IOT和高端化战略上，剩下还有四分之一在其他事情上。对于出车时间是否太晚的质疑，雷军表示：“汽车是百年赛道，只要看好汽车产业，任何时间都不晚。”他认为，造车新势力布局汽车产业比小米提前了6-7年，但是小米的优势在于电子技术和用户体验上，2024年出车时间刚好。他介绍，去年小米汽车等新业务共计投入超30亿元，研发团队超2300人，在初创阶段投入达到别的汽车厂商3倍以上。去年9月，首量小米软膜车如期下线，12月开启冬测，各团队推进效果均比想象中好。去年8月11日，澎湃新闻记者曾独家获悉，小米在自动驾驶领域首期投入33亿元研发费用，已组建超500人规模的研发团队。同时，小米自动驾驶技术已进入测试阶段。第一期规划140辆测试车，将陆续在全国进行测试，目标是2024年进入行业第一阵营。这也意味着，在接近半年时间里，小米研发团队扩张近1800人。谈到小米汽车的盈利预期时，雷军表示，从长期来看，汽车和小米手机一样，除了硬件利润，更重要的是软件利润。“小米的优势在于整合能力，汽车以往可以整合销售、售后服务、充电桩，未来汽车可以整合的服务越来越多。”而对于小米汽车是否有独立融资计划的提问，他认为，小米100%持有小米汽车，就是在于对小米资源的复用。过去3年，小米总裁卢伟冰建立的线下一万家门店对小米汽车的营销很有帮助。小米在全球多个国家都有业务，也会是个巨大的营销网络。对于今年的整体形势，雷军表达了乐观预期。他预测，今年整体的宏观环境有所好转，消费电子市场也开始回暖，但风险和挑战仍旧存在。在经营策略上，小米内部已经把利润放在重要位置，优化管理结构、提升效率和商业模式，同时将保持巨额现金储备，谨慎投资。“我们是为用户服务的公司，期待有一天手机、汽车、智能家居全线打通。”雷军表示。“我们不排除并购一些好的公司，但是也会考虑稳健经营。”谈到对近期大热的ChatGPT布局上，小米手机部总裁曾学忠介绍，ChatGPT基于AI大模型、千亿级参数量、数据量、还有人工标注支撑等技术，在AI大模型方面小米一直都有投入，手机和汽车业务有很多AI大模型落地的场景。此外，小米在ChatGPT领域有丰富应用，包括小爱对话、机器人等，其中小爱拥有庞大数据支撑，会让小米在大模型方面进展更迅速。此前小米在AI大模型上已有多路并行尝试，未来将加大相关领域人力和资源投入。","news_type":1},"isVote":1,"tweetType":1,"viewCount":1220,"authorTweetTopStatus":1,"verified":2,"comments":[{"author":{"id":"3537330607005379","authorId":"3537330607005379","name":"暗河","avatar":"https://static.tigerbbs.com/bbe1aeb7225af8a6c17c4d9973138419","crmLevel":2,"crmLevelSwitch":0},"content":"carlife是百度的，任何手机都能用。就是可能有些卡，和车机，百度，手机都有关系 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