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anuo

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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 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href=http://www.zhitongcaijing.com/content/detail/425070.html><strong>智通财经</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>周三，沽空机构浑水重申做空电动汽车技术提供商XL Fleet。浑水表示，在沽空报告首次发布后，XL Fleet方面在其发布多页回应中并没有否认几项关键指控。XL Fleet并不否认夸大了其所谓的2.2亿美元的销售渠道，也没有否认公司大部分客户未能重复购买公司产品。\n浑水称，XL Fleet承认了一部分也否定了一部分节省天然气的说法。虽然它笼统地表示，其客户“定期实现”预期的里程数增长，但它同时承认...</p>\n\n<a href=\"http://www.zhitongcaijing.com/content/detail/425070.html\">网页链接</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/3400ab07be851836f985363e52636fda","relate_stocks":{},"source_url":"http://www.zhitongcaijing.com/content/detail/425070.html","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2118620672","content_text":"周三，沽空机构浑水重申做空电动汽车技术提供商XL Fleet。浑水表示，在沽空报告首次发布后，XL Fleet方面在其发布多页回应中并没有否认几项关键指控。XL Fleet并不否认夸大了其所谓的2.2亿美元的销售渠道，也没有否认公司大部分客户未能重复购买公司产品。\n浑水称，XL Fleet承认了一部分也否定了一部分节省天然气的说法。虽然它笼统地表示，其客户“定期实现”预期的里程数增长，但它同时承认，客户的实际体验可能与声称的节气量有实质性差异。公司将投资者引导向其网站上的推荐信。其中一篇推荐信来自一家财富500强企业的员工，但推荐信中没有给出具体的节约数据。\n浑水指出，XL Fleet在浑水公开做空后向其前员工发送了威胁性的电子邮件，警告他们不许与投资者进行交谈。浑水再一次强调了XL Fleet是通过特殊目的收购公司上市的“垃圾公司”。\n消息公布后，XL Fleet在美股开盘前直线下挫，跌近2%；但受市场环境提振，截至发稿，公司涨近4%，报12.07美元。\nXL Fleet由麻省理工学院校友和绿色能源资深人士创立于2009年，其使命是为商用车队市场提供简单、可持续的电气化解决方案。目前，该公司为福特(F.US)和通用汽车等公司生产的商用车队提供电气化动力系统解决方案。","news_type":1,"symbols_score_info":{"XL":0.9}},"isVote":1,"tweetType":1,"viewCount":1570,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":335201184,"gmtCreate":1610598953648,"gmtModify":1703745492936,"author":{"id":"3494340101872567","authorId":"3494340101872567","name":"anuo","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":5,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"3494340101872567","idStr":"3494340101872567"},"themes":[],"htmlText":"<a 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