特斯拉CEO埃隆·马斯克在社交平台X上透露，特斯拉公司今年在自动驾驶技术研发上的投入预计将超过100亿美元。这一数据的公布源于马斯克对一位网友关于特斯拉全自动驾驶（FSD）训练过程的回应。他在讨论中强调，为了实现通用自动驾驶的目标，特斯拉已经在计算能力的训练、庞大的数据处理管道和视频存储方面投入了巨额资金。
马斯克指出，尽管今年的投入将达到100亿美元，但这相对于特斯拉全球车队所创造的价值来说只是冰山一角。他估计，道路上配备了特斯拉自主研发的AI推理计算机的汽车，通过司机的日常驾驶训练，其总价值约为2500亿美元。这显示出特斯拉对自动驾驶技术的长期承诺和对现有车队潜力的极高评价。
马斯克的言论再次凸显了自动驾驶领域的资金密集型特征，以及特斯拉在此领域的领先地位。随着全球汽车制造商竞相开发自动驾驶技术，特斯拉的巨额投入显示出其决心要保持在这一前沿科技的竞争优势。然而，实现完全自动驾驶的复杂性和挑战性也由此可见，特斯拉仍需面对技术突破、法规限制和公众接受度等多方面的考验。
英语如下：
News Title: “Musk Reveals: Tesla to Invest Over $10 Billion in Autonomous Driving R&D This Year”
Keywords: Musk, Tesla, Autonomous Driving
News Content: Tesla CEO Elon Musk disclosed on the social platform X that the company’s investments in autonomous driving technology research and development are expected to surpass $10 billion this year. This revelation came in response to a网友’s inquiry about Tesla’s Full Self-Driving (FSD) training process. In the discussion, Musk emphasized that Tesla has allocated substantial funds into training computational capabilities, large-scale data processing pipelines, and video storage to achieve its goal of universal autonomous driving.
Musk pointed out that despite the $10 billion investment this year, it is a fraction of the value created by Tesla’s global fleet. He estimated that the cars equipped with Tesla’s in-house AI inference computer, which are trained through everyday driving by their owners, collectively hold a value of around $250 billion. This underscores Tesla’s long-term commitment to autonomous driving technology and its high appraisal of the potential of its existing fleet.
Musk’s comments accentuate the capital-intensive nature of the autonomous driving sector and Tesla’s leading position within it. As global automakers race to develop autonomous driving technology, Tesla’s substantial investment signals its determination to maintain a competitive edge in this frontier tech. However, it also highlights the complexity and challenges involved in achieving full autonomy, with Tesla still facing hurdles in technological breakthroughs, regulatory constraints, and public acceptance.
【来源】https://finance.sina.com.cn/7×24/2024-04-08/doc-inararww5451672.shtml
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