携程

雷军谈红米独立：释放小米手机的负担，冲向中高端_我的网站

A | 1月10日消息，“生与死都漠不关心，不接受做”，原本不想回应雷军、朋友和商人，但最终回应，并表现出很强的：小米不是挑肥拣瘦，也不是怕事情。

Illustration: Liu Xiangya/GT
Recent media reports have questioned whether a natural gas plant built to power an Amazon data center project in Texas could become the largest climate polluter in the US. The controversy, whatever the eventual outcome, offers a reality check for America's artificial intelligence (AI) drive.
It exposes a growing contradiction: The US is racing to expand its AI capabilities, yet its protectionist trade policies are making it harder and more costly to access some of the clean-energy technologies needed to sustain that expansion. This raises a broader question: Can an energy-intensive AI race afford the costs of renewable energy protectionism?
The US is entering a new era of rising electricity demand. Data centers, the backbone of the AI economy, are emerging as one of the fastest-growing sources of power consumption. Much of that demand is still being met by fossil fuels: The International Energy Agency reports that natural gas supplies more than 40 percent of the electricity used by data centers in the US, making it their largest source of power.
So, it's not surprising that the expansion of data centers has raised concerns over their environmental impact and the pressure they could place on local power systems and electricity bills. A Gallup survey conducted in March found that seven in 10 Americans opposed the construction of AI data centers in their local area, including 48 percent who strongly opposed such projects.
The findings point to a broader challenge for the US: The race to develop AI is increasingly becoming a race to meet growing energy needs. Addressing this challenge will require more than advances in computing technology; it will also depend on an energy system capable of delivering large amounts of reliable, affordable and cleaner power. That, in turn, will require faster development and broader deployment of clean-energy technologies, from solar power to energy storage.
Yet in the clean-energy sector, the US has increasingly relied on protectionist trade measures that limit access to cost-competitive products from global markets. The country has placed greater emphasis on expanding domestic manufacturing capacity, but rebuilding entire clean-energy supply chains at home is a costly and time-consuming process. Even if expanded domestic production is achieved, it is likely to come at a higher cost, making the deployment of renewable technologies more expensive and potentially slower.
The solar industry offers a clear illustration of this policy direction. The US has continued to expand trade barriers in the sector. Reuters reported that the US government announced on Thursday a series of price floors and a 15 percent tariff on products made from polysilicon, a raw material used in solar panels.
The challenge lies in the limited scale of the US polysilicon industry. Reuters reported that the country has two polysilicon factories. Against this backdrop, relying on domestic polysilicon production while restricting access to imports runs counter to the goal of expanding solar power in the US. The country risks creating barriers that ultimately constrain its own access to the global supply chains needed for growth.
The pressing issue for the US is the speed at which new power demand is emerging. The expansion of data centers is creating electricity needs that cannot wait for domestic clean-energy capacity to develop gradually. Global supply chains can provide the scale and speed required in the near term. By narrowing access to these sources, the US risks turning clean-energy policy into a drag on the infrastructure needed for its AI race.
The US has placed AI high on its economic and technological agenda. The outcome of this race will matter greatly, as financial markets are also watching whether America can turn its AI efforts into commercial success.
This leaves the US with a difficult choice: Can it afford the cost of clean-energy protectionism while racing to build AI infrastructure? The answer may be no. Trade barriers that limit access to competitive renewable technologies could ultimately become a constraint on the AI expansion that Washington is seeking to accelerate.
The author is a reporter with the Global Times. [email protected]

。今天下午，小米在北京召开会议，宣布“红米”品牌的独立性，并发布了一款新的手机“红米笔记本7”，这款手机配有4800万像素的镜头，起价999元。在这次会议上，小米火力全面开放，产品与其他朋友的光荣产品形成了全方位的对比。会议原本是为小米领导而策划的，但小米市场部的同事坚持让雷军走，因为这是小米发展史上最重要的时刻。这一重要时刻是红米红米品牌独立性的宣布。

B | 为此，雷军花了两年时间邀请金利前总裁卢伟炳昭任命他为小米集团副总裁、红米品牌总经理。雷军对陆伟兵的任务是每年生产几部手机，并使价格与性能的比率很好。

C | 雷军说，小米自成立以来一直说“性价比”，但实际上，实现“性价比”是原罪。朋友和商人只需一句话就可以放下小米：比小米便宜一分钱。在小米看来，破解方法只使用高质量，所以这是第一位的，其次是最具成本效益的，取代品牌标志的目的是全球化。雷军也在发布会上公开喊出了朋友们，说这些日子比较郁闷，因为朋友们公开回应红米品牌的独立性，这意味着他们很焦虑。从现场发布的图片来看，这位友好的商人是华为的子品牌荣耀。雷军代表小米回答说：“生与死是淡漠的，但他们不相信去做。”在会后的媒体采访中，谈到这个问题时，雷军一直在舞台上非常优雅，仍然有点激动。他说他已经处于一种悠闲的状态。”不是商人赶时间，而是商人赶时间。他说这句话时，突然直起腰来，侧着头，挥动右手。”友谊商人的子品牌已经和我作对五年了，我没有回应他们。不管怎样，如果我不同意，我会这样做的。”雷军说，小米在过去的两年里一直在努力练习，首先是为了提高产品质量；其次是为了提高交货率；第三是不断地打磨和优化摄影。到目前为止，这三件事都取得了良好的效果。他说，去年谷子手机的年出货量超过1亿马克，分拆红米品牌的时机已经成熟。Redmi品牌的主要理念是价格表现，其次是质量。例如，Red Rice Note 7提供18个月的保修期，而其他手机制造商则提供12个月的保修期。