特斯拉FSD V12版本引发热议，"端到端"技术或迎来质变

老虎资讯综合08-15

8月15日，特斯拉涨超5%！FSD V12版本引发热议，"端到端"技术或迎来质变。

近期，特斯拉的全自动驾驶系统FSD V12版本引发了业内外广泛关注。特斯拉智驾团队负责人AShok Elluswamy表示，基于"端到端"技术的FSD V12在短时间内已超越了之前数年的积累。这一突破性进展或将推动自动驾驶技术迎来质变。

FSD V12采用了"端到端"的设计理念，从传感器输入直接到控制指令输出，中间不再需要人为设计的模块。这种方式可以实现无损的信息传递，避免了传统模块化架构中信息损耗的问题。同时，端到端架构完全由数据驱动，具备强大的学习能力和泛化性，有望突破传统方法的局限。

业内人士认为，端到端技术的关键在于海量高质量数据和大规模算力。特斯拉凭借影子模式积累了大量真实驾驶数据，并通过Dojo芯片实现了算力的飞跃。这为FSD V12的训练提供了有利条件。与此同时，生成式AI大模型的加入也有望进一步提升端到端自动驾驶的能力。

尽管端到端技术存在不可解释性和幻觉问题等挑战，但业内普遍认为它代表了自动驾驶发展的方向。如果FSD V12在实际道路测试中表现出色，将为自动驾驶技术的发展注入新的动力。

免责声明：本文观点仅代表作者个人观点，不构成本平台的投资建议，本平台不对文章信息准确性、完整性和及时性做出任何保证，亦不对因使用或信赖文章信息引发的任何损失承担责任。

精彩评论

梓坚
08-16
梓坚
👍👍
______7922
08-15
______7922
说得那么厉害，订阅率呢，为什么都不愿意买呢
- ______7922:
  为什么记者询问马斯克，马斯克却不敢公布？
- 回心转意:
  现在大家还是观望态度，毕竟没有真的实现自动驾驶。
- Patrick Tsui:
  你没买就是都不愿意买了，乐死了
- Bensen:
  核心是自动驾驶不是刚需，自然还要考虑是否必须支出
- Heykid:
  你如此确定它不厉害，那你赶紧做空啊，会发大财的

发表看法

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V12采用了&#34;端到端&#34;的设计理念，从传感器输入直接到控制指令输出，中间不再需要人为设计的模块。这种方式可以实现无损的信息传递，避免了传统模块化架构中信息损耗的问题。同时，端到端架构完全由数据驱动，具备强大的学习能力和泛化性，有望突破传统方法的局限。</p><p>业内人士认为，端到端技术的关键在于海量高质量数据和大规模算力。特斯拉凭借影子模式积累了大量真实驾驶数据，并通过Dojo芯片实现了算力的飞跃。这为FSD V12的训练提供了有利条件。与此同时，生成式AI大模型的加入也有望进一步提升端到端自动驾驶的能力。</p><p>尽管端到端技术存在不可解释性和幻觉问题等挑战，但业内普遍认为它代表了自动驾驶发展的方向。如果FSD V12在实际道路测试中表现出色，将为自动驾驶技术的发展注入新的动力。</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>特斯拉FSD V12版本引发热议，\"端到端\"技术或迎来质变</title>\n<style 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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特斯拉FSD V12版本引发热议，\"端到端\"技术或迎来质变\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/102\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/8274c5b9d4c2852bfb1c4d6ce16c68ba);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">老虎资讯综合 </p>\n<p class=\"h-time\">2024-08-15 21:49</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<html><head></head><body><p>8月15日，<a href=\"https://laohu8.com/S/TSLA\">特斯拉</a>涨超5%！FSD V12版本引发热议，&#34;端到端&#34;技术或迎来质变。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/b2222f08b7a5ec53f3b4a42d187c6da9\" tg-width=\"560\" tg-height=\"240\"/></p><p>近期，<a href=\"https://laohu8.com/S/TSLA\">特斯拉</a>的全自动驾驶系统FSD V12版本引发了业内外广泛关注。特斯拉智驾团队负责人AShok Elluswamy表示，基于&#34;端到端&#34;技术的FSD V12在短时间内已超越了之前数年的积累。这一突破性进展或将推动自动驾驶技术迎来质变。</p><p>FSD V12采用了&#34;端到端&#34;的设计理念，从传感器输入直接到控制指令输出，中间不再需要人为设计的模块。这种方式可以实现无损的信息传递，避免了传统模块化架构中信息损耗的问题。同时，端到端架构完全由数据驱动，具备强大的学习能力和泛化性，有望突破传统方法的局限。</p><p>业内人士认为，端到端技术的关键在于海量高质量数据和大规模算力。特斯拉凭借影子模式积累了大量真实驾驶数据，并通过Dojo芯片实现了算力的飞跃。这为FSD V12的训练提供了有利条件。与此同时，生成式AI大模型的加入也有望进一步提升端到端自动驾驶的能力。</p><p>尽管端到端技术存在不可解释性和幻觉问题等挑战，但业内普遍认为它代表了自动驾驶发展的方向。如果FSD V12在实际道路测试中表现出色，将为自动驾驶技术的发展注入新的动力。</p></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/e49ab90f6352b6ebbb45091ad18b5a2e","relate_stocks":{"LU0348723411.USD":"ALLIANZ GLOBAL HI-TECH GROWTH \"A\" (USD) 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A"},"source_url":"","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1172684041","content_text":"8月15日，特斯拉涨超5%！FSD V12版本引发热议，\"端到端\"技术或迎来质变。近期，特斯拉的全自动驾驶系统FSD V12版本引发了业内外广泛关注。特斯拉智驾团队负责人AShok Elluswamy表示，基于\"端到端\"技术的FSD V12在短时间内已超越了之前数年的积累。这一突破性进展或将推动自动驾驶技术迎来质变。FSD V12采用了\"端到端\"的设计理念，从传感器输入直接到控制指令输出，中间不再需要人为设计的模块。这种方式可以实现无损的信息传递，避免了传统模块化架构中信息损耗的问题。同时，端到端架构完全由数据驱动，具备强大的学习能力和泛化性，有望突破传统方法的局限。业内人士认为，端到端技术的关键在于海量高质量数据和大规模算力。特斯拉凭借影子模式积累了大量真实驾驶数据，并通过Dojo芯片实现了算力的飞跃。这为FSD V12的训练提供了有利条件。与此同时，生成式AI大模型的加入也有望进一步提升端到端自动驾驶的能力。尽管端到端技术存在不可解释性和幻觉问题等挑战，但业内普遍认为它代表了自动驾驶发展的方向。如果FSD 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