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2021-08-24
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Massive AI Project Will Supercharge Tesla Stock<blockquote>大规模人工智能项目将提振特斯拉股价</blockquote>
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The two-pronged goal of the event was to show off its AI progress, and to recruit of new engineers.</p><p><blockquote>这家电动汽车公司的高管周四举办了人工智能日活动。该活动的双重目标是展示其人工智能进步，并招募新工程师。</blockquote></p><p> Plans went awry when Tesla-bot, a 5’8” nonfunctional humanoid robot appeared on stage.</p><p><blockquote>当特斯拉机器人，一个5英尺8英寸的无功能人形机器人出现在舞台上时，计划出了问题。</blockquote></p><p> This is why investors should consider buying buy Tesla shares anyway.</p><p><blockquote>这就是为什么投资者无论如何都应该考虑购买特斯拉股票。</blockquote></p><p> Let’s be clear. The AI day presentation was mind-blowing. Tesla engineers are aiming so high it is hard to put the scale of innovation in perspective. Lex Fridman, an acclaimed AI researcher working at MIT and often a Tesla critic characterized the event succinctly:</p><p><blockquote>让我们说清楚。人工智能日的演示令人兴奋。特斯拉工程师的目标如此之高，以至于很难正确看待创新的规模。Lex Fridman是麻省理工学院著名的人工智能研究员，也是特斯拉的批评者，他简洁地描述了这一事件：</blockquote></p><p> “Tesla AI day presented the most amazing real-world AI and engineering effort I have ever seen in my life.”</p><p><blockquote>“特斯拉人工智能日展示了我一生中见过的最令人惊叹的现实世界人工智能和工程努力。”</blockquote></p><p> In the past, FridmancriticizedElon Musk, Tesla’s chief executive officer for downplaying the difficulty of the full self-driving problem. In Fridman’s view, the obstacles to FSD are so daunting he didn’t believe any firm could successfully navigate the landscape within the next 5-10 years.</p><p><blockquote>过去，弗里德曼批评特斯拉首席执行官德隆·马斯克淡化了全自动驾驶问题的难度。在弗里德曼看来，FSD面临的障碍非常艰巨，他不相信任何公司能够在未来5-10年内成功应对这一局面。</blockquote></p><p> The Tesla AI day changed his mind. That is saying something.</p><p><blockquote>特斯拉人工智能日改变了他的想法。这说明了一些问题。</blockquote></p><p> Musk and his team completely reimagined computer vision by thinking exponentially bigger. Then they built models to collect and label the data, and a new processor to make sense of it all.</p><p><blockquote>马斯克和他的团队通过以指数级的方式思考，彻底重新构想了计算机视觉。然后，他们建立了模型来收集和标记数据，并建立了一个新的处理器来理解这一切。</blockquote></p><p> The idea of AI conjures up rooms full of computers deciphering data and making choices on the fly. In reality, Tesla still employs 1,000 engineers who manually label pedestrians and orange road cones. The latest software iteration is getting much better at auto-labeling. Musk said on Thursday that the neural network model is being completely retrained about every 2 weeks.</p><p><blockquote>人工智能的想法让人联想到满屋子的电脑，这些电脑在飞行中破译数据并做出选择。事实上，特斯拉仍然雇佣了1000名工程师，他们手动标记行人和橙色路锥。最新的软件迭代在自动标记方面变得越来越好。马斯克周四表示，神经网络模型大约每2周就会被完全重新训练一次。</blockquote></p><p> Processing is certain to improve when Tesla’s Dojo computer is outfitted with the latest in-house chips designed specifically to optimize neural networks. Engineers claim these breakthrough mega chips offer 4x the performance of the current processors yet they consume 1/5 the footprint.</p><p><blockquote>当特斯拉的Dojo计算机配备了专门为优化神经网络而设计的最新内部芯片时，处理能力肯定会得到改善。工程师声称，这些突破性的巨型芯片的性能是当前处理器的4倍，但占用的空间却是当前处理器的1/5。</blockquote></p><p> Fridmanbelievesthe virtuous cycle of data collection, labeling, model retraining, and redeployment will give Tesla a real fighting chance to finally solve FSD. This is potentially a $1 trillion opportunity.</p><p><blockquote>弗里德曼认为，数据收集、标记、模型再训练和重新部署的良性循环将为特斯拉最终解决FSD提供真正的战斗机会。这可能是一个价值1万亿美元的机会。</blockquote></p><p> Unfortunately, this monumental development is getting lost in the analysis of the Tesla bot.</p><p><blockquote>不幸的是，这一里程碑式的发展在对特斯拉机器人的分析中消失了。</blockquote></p><p> Investors should focus.</p><p><blockquote>投资者应重点关注。</blockquote></p><p> Tesla is building a fully integrated AI powerhouse. Longer-term investors should consider buying any near-term weakness in its shares.</p><p><blockquote>特斯拉正在建设一个完全集成的人工智能强国。长期投资者应考虑在其股价近期疲软时买入。</blockquote></p><p></p>","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>Massive AI Project Will Supercharge Tesla Stock<blockquote>大规模人工智能项目将提振特斯拉股价</blockquote></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: 12.5px; color: #7E829C; margin: 0;}\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\">\nMassive AI Project Will Supercharge Tesla Stock<blockquote>大规模人工智能项目将提振特斯拉股价</blockquote>\n</h2>\n<h4 class=\"meta\">\n<p class=\"head\">\n<strong class=\"h-name small\">Thestreet</strong><span class=\"h-time small\">2021-08-24 11:34</span>\n</p>\n</h4>\n</header>\n<article>\n<p><b>Tesla (TSLA)</b>is on the verge of a game-changing breakthrough in machine learning yet the only thing people are talking about is its plan for a stupid humanoid robot.</p><p><blockquote><b>特斯拉(TSLA)</b>即将在机器学习领域取得改变游戏规则的突破，但人们唯一谈论的是它的愚蠢人形机器人计划。</blockquote></p><p> Executives at the electric vehicle company on Thursday held an artificial intelligence day. The two-pronged goal of the event was to show off its AI progress, and to recruit of new engineers.</p><p><blockquote>这家电动汽车公司的高管周四举办了人工智能日活动。该活动的双重目标是展示其人工智能进步，并招募新工程师。</blockquote></p><p> Plans went awry when Tesla-bot, a 5’8” nonfunctional humanoid robot appeared on stage.</p><p><blockquote>当特斯拉机器人，一个5英尺8英寸的无功能人形机器人出现在舞台上时，计划出了问题。</blockquote></p><p> This is why investors should consider buying buy Tesla shares anyway.</p><p><blockquote>这就是为什么投资者无论如何都应该考虑购买特斯拉股票。</blockquote></p><p> Let’s be clear. The AI day presentation was mind-blowing. Tesla engineers are aiming so high it is hard to put the scale of innovation in perspective. Lex Fridman, an acclaimed AI researcher working at MIT and often a Tesla critic characterized the event succinctly:</p><p><blockquote>让我们说清楚。人工智能日的演示令人兴奋。特斯拉工程师的目标如此之高，以至于很难正确看待创新的规模。Lex Fridman是麻省理工学院著名的人工智能研究员，也是特斯拉的批评者，他简洁地描述了这一事件：</blockquote></p><p> “Tesla AI day presented the most amazing real-world AI and engineering effort I have ever seen in my life.”</p><p><blockquote>“特斯拉人工智能日展示了我一生中见过的最令人惊叹的现实世界人工智能和工程努力。”</blockquote></p><p> In the past, FridmancriticizedElon Musk, Tesla’s chief executive officer for downplaying the difficulty of the full self-driving problem. In Fridman’s view, the obstacles to FSD are so daunting he didn’t believe any firm could successfully navigate the landscape within the next 5-10 years.</p><p><blockquote>过去，弗里德曼批评特斯拉首席执行官德隆·马斯克淡化了全自动驾驶问题的难度。在弗里德曼看来，FSD面临的障碍非常艰巨，他不相信任何公司能够在未来5-10年内成功应对这一局面。</blockquote></p><p> The Tesla AI day changed his mind. That is saying something.</p><p><blockquote>特斯拉人工智能日改变了他的想法。这说明了一些问题。</blockquote></p><p> Musk and his team completely reimagined computer vision by thinking exponentially bigger. Then they built models to collect and label the data, and a new processor to make sense of it all.</p><p><blockquote>马斯克和他的团队通过以指数级的方式思考，彻底重新构想了计算机视觉。然后，他们建立了模型来收集和标记数据，并建立了一个新的处理器来理解这一切。</blockquote></p><p> The idea of AI conjures up rooms full of computers deciphering data and making choices on the fly. In reality, Tesla still employs 1,000 engineers who manually label pedestrians and orange road cones. The latest software iteration is getting much better at auto-labeling. Musk said on Thursday that the neural network model is being completely retrained about every 2 weeks.</p><p><blockquote>人工智能的想法让人联想到满屋子的电脑，这些电脑在飞行中破译数据并做出选择。事实上，特斯拉仍然雇佣了1000名工程师，他们手动标记行人和橙色路锥。最新的软件迭代在自动标记方面变得越来越好。马斯克周四表示，神经网络模型大约每2周就会被完全重新训练一次。</blockquote></p><p> Processing is certain to improve when Tesla’s Dojo computer is outfitted with the latest in-house chips designed specifically to optimize neural networks. Engineers claim these breakthrough mega chips offer 4x the performance of the current processors yet they consume 1/5 the footprint.</p><p><blockquote>当特斯拉的Dojo计算机配备了专门为优化神经网络而设计的最新内部芯片时，处理能力肯定会得到改善。工程师声称，这些突破性的巨型芯片的性能是当前处理器的4倍，但占用的空间却是当前处理器的1/5。</blockquote></p><p> Fridmanbelievesthe virtuous cycle of data collection, labeling, model retraining, and redeployment will give Tesla a real fighting chance to finally solve FSD. This is potentially a $1 trillion opportunity.</p><p><blockquote>弗里德曼认为，数据收集、标记、模型再训练和重新部署的良性循环将为特斯拉最终解决FSD提供真正的战斗机会。这可能是一个价值1万亿美元的机会。</blockquote></p><p> Unfortunately, this monumental development is getting lost in the analysis of the Tesla bot.</p><p><blockquote>不幸的是，这一里程碑式的发展在对特斯拉机器人的分析中消失了。</blockquote></p><p> Investors should focus.</p><p><blockquote>投资者应重点关注。</blockquote></p><p> Tesla is building a fully integrated AI powerhouse. Longer-term investors should consider buying any near-term weakness in its shares.</p><p><blockquote>特斯拉正在建设一个完全集成的人工智能强国。长期投资者应考虑在其股价近期疲软时买入。</blockquote></p><p></p>\n<div class=\"bt-text\">\n\n\n<p> 来源：<a href=\"https://www.thestreet.com/tech/news/teslajdm082321\">Thestreet</a></p>\n<p>为提升您的阅读体验，我们对本页面进行了排版优化</p>\n\n\n</div>\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"TSLA":"特斯拉"},"source_url":"https://www.thestreet.com/tech/news/teslajdm082321","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1183887279","content_text":"Tesla (TSLA)is on the verge of a game-changing breakthrough in machine learning yet the only thing people are talking about is its plan for a stupid humanoid robot.\nExecutives at the electric vehicle company on Thursday held an artificial intelligence day. The two-pronged goal of the event was to show off its AI progress, and to recruit of new engineers.\nPlans went awry when Tesla-bot, a 5’8” nonfunctional humanoid robot appeared on stage.\nThis is why investors should consider buying buy Tesla shares anyway.\nLet’s be clear. The AI day presentation was mind-blowing. Tesla engineers are aiming so high it is hard to put the scale of innovation in perspective. Lex Fridman, an acclaimed AI researcher working at MIT and often a Tesla critic characterized the event succinctly:\n“Tesla AI day presented the most amazing real-world AI and engineering effort I have ever seen in my life.”\nIn the past, FridmancriticizedElon Musk, Tesla’s chief executive officer for downplaying the difficulty of the full self-driving problem. In Fridman’s view, the obstacles to FSD are so daunting he didn’t believe any firm could successfully navigate the landscape within the next 5-10 years.\nThe Tesla AI day changed his mind. That is saying something.\nMusk and his team completely reimagined computer vision by thinking exponentially bigger. Then they built models to collect and label the data, and a new processor to make sense of it all.\nThe idea of AI conjures up rooms full of computers deciphering data and making choices on the fly. In reality, Tesla still employs 1,000 engineers who manually label pedestrians and orange road cones. The latest software iteration is getting much better at auto-labeling. Musk said on Thursday that the neural network model is being completely retrained about every 2 weeks.\nProcessing is certain to improve when Tesla’s Dojo computer is outfitted with the latest in-house chips designed specifically to optimize neural networks. Engineers claim these breakthrough mega chips offer 4x the performance of the current processors yet they consume 1/5 the footprint.\nFridmanbelievesthe virtuous cycle of data collection, labeling, model retraining, and redeployment will give Tesla a real fighting chance to finally solve FSD. This is potentially a $1 trillion opportunity.\nUnfortunately, this monumental development is getting lost in the analysis of the Tesla bot.\nInvestors should focus.\nTesla is building a fully integrated AI powerhouse. Longer-term investors should consider buying any near-term weakness in its 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