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80岁西班牙"狼孩"去世被狼群抚养12年经历被拍成电影_我的网站

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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]

。据现代快报报道，当地时间8月15日，有着西班牙“狼孩”之称的马科斯·罗德里格斯·潘托哈在西班牙北部奥伦塞省去世，享年80岁。潘托哈之所以被称为“狼孩”，是因为他少儿时代曾经与狼群共同生活了12年，是由狼群抚养长大的。1965年，西班牙国民警卫队在搜索塞拉莫雷纳山脉时，一个赤身裸体、光着脚且四肢着地的年轻人从丛林中爬了出来，这个年轻人就是时年19岁的潘托哈，过去12年间，他一直生活在山中，与世隔绝。他被发现时脚上长满了厚厚的老茧，而且不会说话。在经历了长时间的对人类社会的重新适应后，潘托哈恢复了语言功能。他后来说，自己3岁时母亲去世，父亲再婚后，继母对他进行了残酷的虐待。由于家里人口太多，他被父亲和继母赶到山上放羊，和一位老人住在一起。但是他7岁时老人去世了，他被孤零零地留在了山上。一开始，潘托哈观察动物们吃哪些水果蔬菜，靠有样学样活了下来，后来一只母狼收养了他，从此他跟着狼群一起生活了12年，直到被人发现。潘托哈说，当时母狼给幼崽喂完食后扔给了他一块肉，起先他不敢吃，以为母狼要攻击他，后来发现母狼只是用鼻子把肉在他面前推来推去。“我捡起肉吃了，以为母狼要咬我，但它却伸出舌头开始舔我。从那时起，我就成了这个家庭的一分子。”潘托哈说，他还有一条蛇作伴，因为他给蛇喂羊奶，蛇就跟着他到处走。国民警卫队发现他后强行将他从山上拖了下来，他像狼一样嚎叫和撕咬，警卫队员们不得不绑住他的手脚并堵住他的嘴。潘托哈说，重返人类社会是他一生中最可怕的经历。他先是被送到一家孤儿院，修女们教他如何直立行走、如何坐下来吃饭。他不会使用餐具，而且常常觉得四肢着地“走路”更舒服。潘托哈说和狼群在一起的12年是自己这辈子最快乐的时光，他曾经试图重返山区，却发现自己原先居住的洞穴已经被改建成了别墅，而且狼群也不再接纳他。