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2倍做多TSLA ETF-Direxion(TSLL)
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Gary刘_8548
·
01-10 00:11
$TSLL 20260109 18.0 PUT$
准备好接货的单子,估计是只给租金给我了
$TSLL 20260109 18.0 PUT$ 准备好接货的单子,估计是只给租金给我了
# 晒晒更赚钱
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点金胜手V
·
01-10 14:54
英伟达推出自动驾驶模型,特斯拉真的要被威胁了吗?
最近CES上英伟达$英伟达 NVDA$ 黄仁勋一出手,整个市场都炸了。他宣布推出新的自动驾驶模型,还和奔驰合作,结果特斯拉$特斯拉 TSLA$ 当天直接跌了4%。很多人问:英伟达是不是要抢特斯拉的饭碗?特斯拉的自动驾驶优势是不是要没了? 我直接说结论:至少在未来几年,英伟达的自动驾驶模型根本威胁不到特斯拉。 为什么呢? 第一,英伟达做的是“工具”,特斯拉做的是“成品” 这是最关键的一点。 英伟达这次发布的自动驾驶模型,本质上是给车企用的开发工具。 你可以把它理解成: 英伟达:给你一套高级画笔和颜料 特斯拉:直接给你一幅已经画好的、可以挂墙上的大师级作品 车企拿到英伟达的工具,还得自己训练、调试、适配车型,最后才能变成真正能用的自动驾驶系统。 而特斯拉的FSD已经跑了十年,是一个真正上车、能开、能跑、能应对复杂路况的成熟产品。 这就像英伟达以前也推出过开源大模型,但你看市场上真正被大家天天用的还是GPT、Gemini这些专业团队做出来的成品。 工具永远替代不了成品,自动驾驶也一样。 第二,特斯拉的优势不是模型,而是“数据 + 芯片 + 整车”的闭环 很多人以为自动驾驶就是“谁模型强谁厉害”。 其实完全不是。 自动驾驶真正的护城河有三个: 1. 数据:特斯拉的数据量是碾压级的 特斯拉一年卖200多万辆车,每辆车都在帮它收集真实路况数据。 这些数据包括: 各种天气 各种奇葩路口 各种突发情况 各种司机的骚操作 这些数据是特斯拉FSD不断进化的“燃料”。 英伟达虽然也有数据,但规模和真实度根本没法和特斯拉比。 就像你练武功,特斯拉是每天在江湖实战,英伟达是在练功房里练套路。 &
英伟达推出自动驾驶模型,特斯拉真的要被威胁了吗?
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重庆老赵
·
01-08 20:37
辅助驾驶不是无人驾驶[笑哭] 在特斯拉机器人上市前是特斯拉各种利空密集突发阶段
特斯拉辅助驾驶连续避让后追尾 车主:刹车没反应 车门和窗户打不开
但该车道同样有一辆大货车,特斯拉又变到了最右侧的导流线上,结果在前方导流线收窄的地方,车辆刹车不及追尾了前方的大货车,并被挤到了栏杆上。特斯拉车内气囊全部弹出,车门也被挤住打不开,车内甚至已经开始冒烟了,他们两人被困在车内,非常恐怖。此次事故特斯拉负全责,因为车辆没买车损险,车损非常严重,已经报废了。
特斯拉辅助驾驶连续避让后追尾 车主:刹车没反应 车门和窗户打不开
辅助驾驶不是无人驾驶[笑哭] 在特斯拉机器人上市前是特斯拉各种利空密集突发阶段
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春风不解夏季情
·
01-07
看涨英伟达,的确市盈率不高,和特斯拉比非常的,所以我坚持看涨。期待达子上300
看涨英伟达,的确市盈率不高,和特斯拉比非常的,所以我坚持看涨。期待达子上300
# 英伟达开年表现不佳!还是你的首选股吗?
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SiongZ:
英伟达稳了!300刀指日可待[看涨]
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勇敢_小虎
·
01-07
看涨英伟达,的确市盈率不高,和特斯拉比非常的,所以我坚持看涨。期待达子上300
看涨英伟达,的确市盈率不高,和特斯拉比非常的,所以我坚持看涨。期待达子上300
# 英伟达开年表现不佳!还是你的首选股吗?
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thinorfat:
英伟达市盈率真香,300稳了!
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春天风云
·
01-07
看涨英伟达,的确市盈率不高,和特斯拉比非常的,所以我坚持看涨。期待达子上300
看涨英伟达,的确市盈率不高,和特斯拉比非常的,所以我坚持看涨。期待达子上300
# 英伟达开年表现不佳!还是你的首选股吗?
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CatherineGunter:
市盈率真低,比特斯拉香,300稳了!
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popo
·
01-07
$2倍做多TSLA ETF-Direxion(TSLL)$
这两天不涨个10%?
$2倍做多TSLA ETF-Direxion(TSLL)$ 这两天不涨个10%?
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追梦999
·
01-06
看好特斯拉,特斯拉的自动驾驶到2026年是关键一年,现在美国应该是开始上线了,看别人的试驾效果不错。值得投入特斯拉。建议增持。
看好特斯拉,特斯拉的自动驾驶到2026年是关键一年,现在美国应该是开始上线了,看别人的试驾效果不错。值得投入特斯拉。建议增持。
# 英伟达开年表现不佳!还是你的首选股吗?
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MMMia:
自动驾驶真香,特斯拉冲一波!
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Mcrowe
·
01-06
英伟达没有意义的空谈是没用的,ai再好也需要实践过的数据,而特斯拉无论是ai还是实践都很充足了,所以我站特斯拉
英伟达没有意义的空谈是没用的,ai再好也需要实践过的数据,而特斯拉无论是ai还是实践都很充足了,所以我站特斯拉
# 英伟达开年表现不佳!还是你的首选股吗?
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ZebulonToynbee:
特斯拉确实牛,实践数据硬核!
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勇敢_小虎
·
01-06
看好特斯拉,特斯拉的自动驾驶到2026年是关键一年,现在美国应该是开始上线了,看别人的试驾效果不错。值得投入特斯拉。建议增持。
看好特斯拉,特斯拉的自动驾驶到2026年是关键一年,现在美国应该是开始上线了,看别人的试驾效果不错。值得投入特斯拉。建议增持。
# 英伟达开年表现不佳!还是你的首选股吗?
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AbnerKeppel:
自动驾驶牛啊,我也加仓了!
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春天风云
·
01-06
看好特斯拉,特斯拉的自动驾驶到2026年是关键一年,现在美国应该是开始上线了,看别人的试驾效果不错。值得投入特斯拉。建议增持。
看好特斯拉,特斯拉的自动驾驶到2026年是关键一年,现在美国应该是开始上线了,看别人的试驾效果不错。值得投入特斯拉。建议增持。
# 英伟达开年表现不佳!还是你的首选股吗?
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windy00:
特斯拉自动驾驶真猛,增持稳赚!
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梦想快实现
·
01-06
相当于英伟达进来成为鲶鱼效应,而不一定能做到秒杀,毕竟经验和自动驾驶的生态供应链还是特斯拉的强项,但会加速特斯拉做得更好
相当于英伟达进来成为鲶鱼效应,而不一定能做到秒杀,毕竟经验和自动驾驶的生态供应链还是特斯拉的强项,但会加速特斯拉做得更好
# 英伟达开年表现不佳!还是你的首选股吗?
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PatrickPatterson:
鲶鱼效应真能激发特斯拉潜力!
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大碗888
·
01-06
英伟达没有意义的空谈是没用的,ai再好也需要实践过的数据,而特斯拉无论是ai还是实践都很充足了,所以我站特斯拉
英伟达没有意义的空谈是没用的,ai再好也需要实践过的数据,而特斯拉无论是ai还是实践都很充足了,所以我站特斯拉
# 英伟达开年表现不佳!还是你的首选股吗?
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beginnerRio:
支持特斯拉,落地实践真靠谱!
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春风不解夏季情
·
01-06
更看好特斯拉,因为特斯拉的自动驾驶系统与车是紧密联系的,英伟达的自动驾驶系统缺乏车上的时间,因此需要走很长一段路
更看好特斯拉,因为特斯拉的自动驾驶系统与车是紧密联系的,英伟达的自动驾驶系统缺乏车上的时间,因此需要走很长一段路
# 英伟达开年表现不佳!还是你的首选股吗?
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MabelReed:
特斯拉自动驾驶真香,整合力超强!
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小小虎AAA
·
01-06
我更支持特斯拉,因为特斯拉是耕耘自动驾驶很久了,有充分的实践经验
我更支持特斯拉,因为特斯拉是耕耘自动驾驶很久了,有充分的实践经验
# 英伟达开年表现不佳!还是你的首选股吗?
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a9032:
特斯拉自动驾驶积累深,稳拿!
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追梦999
·
01-06
更看好特斯拉,因为英伟达不造车它的系统需要在车上反复的时间训练检验才可能让人信服
更看好特斯拉,因为英伟达不造车它的系统需要在车上反复的时间训练检验才可能让人信服
# 非农数据来袭!大盘能否延续涨势?
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MabelReed:
同意,自研系统才是王道!
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苍穹之剑888
·
01-06
更看好特斯拉,因为特斯拉他的自动驾驶系统可以在车 充分的去实践去修正
更看好特斯拉,因为特斯拉他的自动驾驶系统可以在车 充分的去实践去修正
# 英伟达开年表现不佳!还是你的首选股吗?
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LucyRosa:
特斯拉自动驾驶太强了,我车上试过超准!
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明日阳光888
·
01-06
更看好特斯拉,因为特斯拉的自动驾驶系统与车是紧密联系的,英伟达的自动驾驶系统缺乏车上的时间,因此需要走很长一段路
更看好特斯拉,因为特斯拉的自动驾驶系统与车是紧密联系的,英伟达的自动驾驶系统缺乏车上的时间,因此需要走很长一段路
# 英伟达开年表现不佳!还是你的首选股吗?
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SteveWatson:
特斯拉软硬一体优势明显,英伟达还得拼。
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花香满楼
·
01-06
英伟达进圈,搅动自动驾驶行业,也是好事。特斯拉有竞争才有动力做的更好
英伟达进圈,搅动自动驾驶行业,也是好事。特斯拉有竞争才有动力做的更好
# 英伟达开年表现不佳!还是你的首选股吗?
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GriseldaBrown:
竞争是好事,特斯拉更拼了!
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awyer
·
01-06
英伟达的开源模型,等于是帮特斯拉的封闭模型补足了短板,马斯克不知道多高兴。监管部门最怕垄断,现在有了一个开源模型来了,非特斯拉车企有机会参与进来,避免了特斯拉独大;皮夹克又可以多卖芯片;特斯拉用的是FSD+英伟达开源版保持绝对领先。根本就是皮夹克和马斯克商量好的。
英伟达做了个FSD?马斯克淡定回应:我不会为此失眠
英伟达CES发布开源自动驾驶模型Alpamayo,号称“物理AI的ChatGPT时刻”,将随奔驰CLA一季度上路。面对这一能“思考推理”的强劲对手,马斯克回应称解决长尾问题才是关键,并直言:“我才不会因为这个失眠,真心希望他们能成功。”
英伟达做了个FSD?马斯克淡定回应:我不会为此失眠
英伟达的开源模型,等于是帮特斯拉的封闭模型补足了短板,马斯克不知道多高兴。监管部门最怕垄断,现在有了一个开源模型来了,非特斯拉车企有机会参与进来,避免了特...
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车门和窗户打不开","url":"https://stock-news.laohu8.com/highlight/detail?id=2601369690","media":"快科技","summary":"但该车道同样有一辆大货车,特斯拉又变到了最右侧的导流线上,结果在前方导流线收窄的地方,车辆刹车不及追尾了前方的大货车,并被挤到了栏杆上。特斯拉车内气囊全部弹出,车门也被挤住打不开,车内甚至已经开始冒烟了,他们两人被困在车内,非常恐怖。此次事故特斯拉负全责,因为车辆没买车损险,车损非常严重,已经报废了。","content":"<html><body><article><p>快科技1月8日消息,据报道,近日,安徽岳西高速上,一辆<a href=\"https://laohu8.com/S/TSLA\">特斯拉</a>发生追尾事故,车主对车辆的辅助驾驶系统也产生了质疑。</p><p>行车记录仪<a href=\"https://laohu8.com/S/VIDE\">视频显示</a>,这辆特斯拉本来在最左侧的超车道行驶,前方大客车突然变道,特斯拉刹车不及,紧急变道至右侧车道。</p><p>但该车道同样有一辆大货车,特斯拉又变到了最右侧的导流线上,<strong>结果在前方导流线收窄的地方,车辆刹车不及追尾了前方的大货车,并被挤到了栏杆上。</strong></p><p>车主介绍,当时他开了辅助驾驶系统,他看到要追尾第一反应是踩刹车,但系统却让他避让,踩刹车没有反应,导致最后追尾,并被大货车挤着拖行了几十米。</p><p>特斯拉车内气囊全部弹出,车门也被挤住打不开,车内甚至已经开始冒烟了,他们两人被困在车内,非常恐怖。</p><p>最后,是大货车司机砸碎了车玻璃,他们才逃了出来。此次事故特斯拉负全责,<strong>因为车辆没买车损险,车损非常严重,已经报废了。</strong></p><p>车主表示,如果当时是他在开车,发生这样的事故他愿意承担事故责任。但现在的情况时,车辆是由辅助驾驶来开的,车辆失控才造成事故。</p><img src=\"https://fid-75186.picgzc.qpic.cn/20260108201322229d163i88xupy3xmm\"/></article></body></html>","source":"tencent","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>特斯拉辅助驾驶连续避让后追尾 车主:刹车没反应 车门和窗户打不开</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{ 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0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n特斯拉辅助驾驶连续避让后追尾 车主:刹车没反应 车门和窗户打不开\n</h2>\n\n<h4 class=\"meta\">\n\n\n2026-01-08 20:06 北京时间 <a href=http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260108201331a70304a5&s=b><strong>快科技</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>快科技1月8日消息,据报道,近日,安徽岳西高速上,一辆特斯拉发生追尾事故,车主对车辆的辅助驾驶系统也产生了质疑。行车记录仪视频显示,这辆特斯拉本来在最左侧的超车道行驶,前方大客车突然变道,特斯拉刹车不及,紧急变道至右侧车道。但该车道同样有一辆大货车,特斯拉又变到了最右侧的导流线上,结果在前方导流线收窄的地方,车辆刹车不及追尾了前方的大货车,并被挤到了栏杆上。车主介绍,当时他开了辅助驾驶系统,他看到...</p>\n\n<a href=\"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260108201331a70304a5&s=b\">网页链接</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"LU0820561909.HKD":"ALLIANZ INCOME AND GROWTH \"AM\" (HKD) INC","LU0198837287.USD":"UBS (LUX) EQUITY SICAV - USA GROWTH \"P\" (USD) ACC","LU0323591593.USD":"SCHRODER ISF QEP GLOBAL QUALITY \"A\" (USD) 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src=\"https://community-static.tradeup.com/news/962b7db4bee1027917e211e73b58ad87\" tg-width=\"1024\" tg-height=\"1013\"/></p><h2 id=\"id_3075483512\">英伟达的"推理式"自动驾驶</h2><p><strong>英伟达将Alpamayo称为"物理AI的ChatGPT时刻"。</strong>这一开源AI模型家族旨在解决自动驾驶的"长尾问题",即那些导致自动驾驶系统脱离或失败的罕见边缘案例。</p><p>旗舰产品Alpamayo 1是一个拥有100亿参数的视觉-语言-行动(VLA)模型。与传统自动驾驶系统仅检测物体和规划路径不同,Alpamayo采用"链式推理"方式。它处理视频输入并生成行驶轨迹,但更关键的是,它还会输出决策背后的逻辑。</p><p>黄仁勋表示:<strong>“这不仅仅是一个驾驶模型,而是一个能解释自己思考过程的模型。”</strong>展会上黄仁勋播放了一段演示视频,Alpamayo不仅能驾驶汽车,还能用自然语言解释自己的决策逻辑,例如“前方车辆刹车灯亮起,它可能减速,所以我应该保持距离”。</p><h2 id=\"id_1957901506\">开源策略对抗特斯拉封闭系统</h2><p>英伟达正通过全面的开源策略切入自动驾驶领域,其最新发布的Alpamayo 1模型权重已在Hugging Face平台开放获取,同步推出的还包括端到端仿真框架AlpaSim以及涵盖1700小时复杂驾驶场景的物理AI开放数据集。</p><p><strong>此举标志着英伟达正以“自动驾驶领域的安卓系统”为定位,构建开放生态,与特斯拉完全封闭的FSD系统形成差异化竞争路径</strong>。英伟达同时宣布,该项技术将自今年第一季度起搭载于梅赛德斯-奔驰CLA车型上,迈出商业化落地的重要一步。</p><h2 id=\"id_2999805665\">马斯克的"长尾问题"论</h2><p>马斯克的回应直指自动驾驶行业的核心瓶颈:模型性能的“长尾困境”。他指出,实现99%场景的高准确率相对可行,但攻克剩余1%的罕见却至关重要的“边缘案例”,才是真正决定技术能否安全落地的关键。</p><p>即便英伟达发布了推理能力更强的开源模型,在应对现实道路的极端复杂性和不确定性时,仍难以绕过特斯拉通过大规模部署所建立的数据与工程壁垒。</p><p>目前,特斯拉FSD系统已在全球数百万辆车上持续运行,积累了涵盖海量场景、尤其是“长尾问题”的真实道路数据与闭环优化经验,这正是其在迭代效率和场景覆盖深度上的结构性优势。</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>英伟达做了个FSD?马斯克淡定回应:我不会为此失眠</title>\n<style 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href=\"https://wallstreetcn.com/articles/3762641\">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/f51e0887617e5ccdb1f56ab9d6b7e088","relate_stocks":{"LU1551013342.USD":"Allianz Income and Growth Cl AMg2 DIS USD","LU0094547139.USD":"abrdn SICAV I - GLOBAL SUSTAINABLE EQUITY FUND \"A\" (USD) ACC","NVD2.UK":"2X NVIDIA ETP","LU0154236417.USD":"BGF US FLEXIBLE EQUITY \"A2\" ACC","NVD3.UK":"LS 3X NVIDIA","LU2125154778.USD":"ALLSPRING GLOBAL EQUITY ENHANCED INCOME \"A\" (USD) INC","LU0080751232.USD":"富达环球多元动力基金A","NVDS.UK":"LS -1X NVIDIA","LU0128525929.USD":"TEMPLETON GLOBAL \"A\" (USD) ACC","LU0234572021.USD":"高盛美国核心股票组合Acc","LU1244550577.SGD":"FTIF - Franklin Global Multi-Asset Income A (Mdis) SGD-H1","IE00BKVL7J92.USD":"Legg Mason ClearBridge - US Equity Sustainability Leaders A Acc USD","IE00BWXC8680.SGD":"PINEBRIDGE US LARGE CAP RESEARCH ENHANCED \"A5\" (SGD) ACC","LU0225283273.USD":"SCHRODER ISF GLOBAL EQUITY ALPHA \"A\" 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INC"},"source_url":"https://wallstreetcn.com/articles/3762641","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2601640188","content_text":"英伟达在CES 2026展会上推出名为Alpamayo的开源自动驾驶AI模型,CEO黄仁勋称其为\"世界上首款能思考、能推理的自动驾驶汽车AI\",直接挑战特斯拉的FSD系统。1月6日,电动汽车分析师Sawyer Merritt在X平台发帖称,英伟达宣布将于今年晚些时候在美国道路上推出Alpamayo。马斯克对此回应称:\"好吧,这正是特斯拉在做的。他们会发现,达到99%很容易,但要解决分布的长尾问题却非常困难。\"当有网友表示担心Alpamayo成为FSD的首个真正竞争对手,并指出英伟达可以在没有任何车队的情况下达到接近99%的水平,证明大规模车队数据已不再重要时,马斯克再次回应:\"我才不会因为这个失眠呢。我真心希望他们能成功。\"英伟达的\"推理式\"自动驾驶英伟达将Alpamayo称为\"物理AI的ChatGPT时刻\"。这一开源AI模型家族旨在解决自动驾驶的\"长尾问题\",即那些导致自动驾驶系统脱离或失败的罕见边缘案例。旗舰产品Alpamayo 1是一个拥有100亿参数的视觉-语言-行动(VLA)模型。与传统自动驾驶系统仅检测物体和规划路径不同,Alpamayo采用\"链式推理\"方式。它处理视频输入并生成行驶轨迹,但更关键的是,它还会输出决策背后的逻辑。黄仁勋表示:“这不仅仅是一个驾驶模型,而是一个能解释自己思考过程的模型。”展会上黄仁勋播放了一段演示视频,Alpamayo不仅能驾驶汽车,还能用自然语言解释自己的决策逻辑,例如“前方车辆刹车灯亮起,它可能减速,所以我应该保持距离”。开源策略对抗特斯拉封闭系统英伟达正通过全面的开源策略切入自动驾驶领域,其最新发布的Alpamayo 1模型权重已在Hugging Face平台开放获取,同步推出的还包括端到端仿真框架AlpaSim以及涵盖1700小时复杂驾驶场景的物理AI开放数据集。此举标志着英伟达正以“自动驾驶领域的安卓系统”为定位,构建开放生态,与特斯拉完全封闭的FSD系统形成差异化竞争路径。英伟达同时宣布,该项技术将自今年第一季度起搭载于梅赛德斯-奔驰CLA车型上,迈出商业化落地的重要一步。马斯克的\"长尾问题\"论马斯克的回应直指自动驾驶行业的核心瓶颈:模型性能的“长尾困境”。他指出,实现99%场景的高准确率相对可行,但攻克剩余1%的罕见却至关重要的“边缘案例”,才是真正决定技术能否安全落地的关键。即便英伟达发布了推理能力更强的开源模型,在应对现实道路的极端复杂性和不确定性时,仍难以绕过特斯拉通过大规模部署所建立的数据与工程壁垒。目前,特斯拉FSD系统已在全球数百万辆车上持续运行,积累了涵盖海量场景、尤其是“长尾问题”的真实道路数据与闭环优化经验,这正是其在迭代效率和场景覆盖深度上的结构性优势。","news_type":1,"symbols_score_info":{"NVD":0.6,"NVIW.SI":0.6,"NVDA":1.95,"TSLA":1.93,"NVDX":0.6,"SNVD.UK":0.6,"3NVD.UK":0.6,"NVD3.UK":0.6,"UFO":0.6,"NVDL":0.6,"NVDU":0.6,"TSYW.SI":0.6,"2NVD.UK":0.6,"NVDY":0.6,"NVD2.UK":0.6,"NVDS":0.6,"NVDD":0.6,"NVDS.UK":0.6}},"shareLink":"https://laohu8.com/post/518806467682904","orderFlag":false,"starInvestorRankings":[],"featuresForAnalytics":[],"commentAndTweetFlag":false,"upFlag":false,"length":250,"displayRows":4,"foldSize":0,"authorId":"4125884878211772"}],"position":0}],"size":20},"newsData":null,"noticeData":{"listData":[],"currentPage":1,"bottom":true},"companyData":{"profile":{"stockEarnings":[{"period":"1week","weight":0.0248},{"period":"1month","weight":-0.0554},{"period":"3month","weight":0.034},{"period":"6month","weight":0.6463},{"period":"1year","weight":-0.2852},{"period":"ytd","weight":-0.0283}],"compareEarnings":[{"period":"1week","weight":0.016},{"period":"1month","weight":0.0095},{"period":"3month","weight":0.0629},{"period":"6month","weight":0.113},{"period":"1year","weight":0.1774},{"period":"ytd","weight":0.0178}],"compareStock":{"symbol":"SPY","name":"标普500ETF"},"yearOnYearQuotes":[{"month":1,"riseRate":0.25,"avgChangeRate":0.050262},{"month":2,"riseRate":0.666667,"avgChangeRate":-0.037295},{"month":3,"riseRate":0,"avgChangeRate":-0.169318},{"month":4,"riseRate":0.666667,"avgChangeRate":-0.067039},{"month":5,"riseRate":0.666667,"avgChangeRate":0.246193},{"month":6,"riseRate":0.666667,"avgChangeRate":0.141424},{"month":7,"riseRate":0.666667,"avgChangeRate":0.067997},{"month":8,"riseRate":0.333333,"avgChangeRate":-0.032513},{"month":9,"riseRate":0.5,"avgChangeRate":0.255611},{"month":10,"riseRate":0.25,"avgChangeRate":-0.158807},{"month":11,"riseRate":0.5,"avgChangeRate":0.180741},{"month":12,"riseRate":0.75,"avgChangeRate":-0.04408}],"exchange":"NASDAQ","name":"2倍做多TSLA 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