虽然雷军还没有开始预热小米16系列手机，但是业内已经有了可靠爆料，小米16系列大概率会在9月中下 旬登场，为什么选择这个日子？我想大概率是为了阻截iPhone17系列吧。有关小米16系列的配置信息，据 悉将首发骁龙8 Elite 2，小米16依然主打小屏，小米16 Pro则主打大屏全能旗舰。 随着新旗舰的登场，老款旗舰小米15 Pro似乎也开启了清仓模式，如今小米15 Pro的价格已经跌了不少， 尤其是16GB+1TB顶配版本，目前已经突降了1000元，而12GB+256GB版本现在4499元就能买到。虽然小 米15 Pro上市许久，但从基础的配置来看，它依然是这个价位段里配置最全面的手机之一。 关于配置体验，先从性能开始说起，小米15 Pro的性能非常强悍，因为它搭载高通骁龙8至尊版移动平 台，不管是开启大型3D手游，还是在多任务间来回切换，都不会卡顿。更重要的是，功耗大幅降低，发 热控制优秀，长时间高负载下也能保持冷静。这也是小米15 Pro能够流畅使用四五年的核心原因之一。 正面是一块6.73英寸华星光电OLED全等深四曲屏，基于M9发光材料与双层微腔发光结构，像在透明湖面 上撒下一层细腻的光。分辨率2 ...

Key Points - The article discusses various recent developments in the automotive, technology, and finance sectors, highlighting competitive dynamics and strategic moves by companies like Li Auto, ByteDance, NVIDIA, and JD.com [1][5][24]. Group 1: Automotive Industry - Li Auto launched its new electric SUV, the Li i8, which has sparked competitive responses from other brands, particularly regarding advertising and performance claims [1][9]. - The launch of the Li i8 coincides with the introduction of the LeDao L90, another electric SUV, which is positioned as a strong competitor in the family-oriented electric vehicle market [27]. - Concerns have been raised about the safety and performance claims of the Li i8 after a collision test video was released, leading to disputes with other manufacturers [9][10]. Group 2: Technology Sector - NVIDIA's H20 chip has been flagged for serious security vulnerabilities, prompting a government inquiry into its safety for Chinese users [5]. - ByteDance has clarified its employee retention statistics, stating that the average tenure is around 3 years, countering rumors of high turnover rates [8]. - OpenAI's annual revenue has reportedly surged to $12 billion, with ChatGPT's weekly active users surpassing 700 million, indicating strong market demand for AI services [37]. Group 3: Financial Developments - JD.com announced a voluntary public acquisition offer for German retailer Ceconomy, valuing the company at approximately €22.3 billion (around $26.3 billion) [24]. - Meta is planning to invest heavily in AI infrastructure, with projected capital expenditures reaching between $66 billion and $72 billion by 2025, reflecting a significant commitment to AI development [38].