按照小鹏的技术解读，称传统的VLA需要先把视觉信号翻译成机器语言，才能让机器识别。VLA2.0则省去了翻译这一过程，使得智驾链路缩短，当然技术难度也可想而知。
当天，Block 发布第四季度财报：毛利润同比增长 24%，每股收益超出分析师预期。 但与此同时，公司宣布裁员超过 4000 人，占员工总数约 46%。
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One challenge is having enough training data. Another is that the training data needs to be free of contamination. For a model trained up till 1900, there needs to be no information from after 1900 that leaks into the data. Some metadata might have that kind of leakage. While it’s not possible to have zero leakage - there’s a shadow of the future on past data because what we store is a function of what we care about - it’s possible to have a very low level of leakage, sufficient for this to be interesting.
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