The US may be running the wrong AI race - FT中文网
登录×
电子邮件/用户名
密码
记住我
请输入邮箱和密码进行绑定操作:
请输入手机号码,通过短信验证(目前仅支持中国大陆地区的手机号):
请您阅读我们的用户注册协议隐私权保护政策,点击下方按钮即视为您接受。
人工智能

The US may be running the wrong AI race

China’s favouring of small and cheap models such as DeepSeek could prove to be the better bet
00:00

{"text":[[{"start":3.29,"text":"Surrounded by kick-boxing, piano-playing humanoid robots at a high-tech fair in Shenzhen last month, some tech influencers were asking: can the west catch up with China?"}],[{"start":14.68,"text":"That question would have sounded absurd two decades ago, but it is anything but today. This week, the Australian Strategic Policy Institute published its latest critical technology tracker, covering high-impact global research in 74 areas. It found that China now leads in 66 of those technologies, in fields as varied as computer vision, quantum sensors and nuclear energy, with the US ahead in the other eight. "}],[{"start":45.01,"text":"ASPI’s researchers highlighted a familiar story across many technologies. An early and overwhelming US lead in research output in the first decade of this century has been surpassed by China’s persistent long-term investment in fundamental research. In 2005, China accounted for just 6 per cent of the world’s most highly cited research papers but that share had risen to 48 per cent this year. The comparable proportion of US publications fell from 43 per cent to 9 per cent. At a time when the US is defunding many federal science programmes, China is doing the opposite by “building the whole technology ecosystem”, says Jenny Wong-Leung, one of the report’s authors. "}],[{"start":93.49,"text":"ASPI’s findings accord with Nature’s latest ranking of research institutions, tracking articles across 145 science journals. In terms of research output, nine of the world’s top 10 research institutions are Chinese with only Harvard University in the top tier. China is now mass manufacturing research; it truly has become a scientific superpower."}],[{"start":120.24,"text":"Published research, though, does not automatically translate into technological capability. Moreover, the location of research expertise does not always map with successful commercialisation of technology — as a long line of frustrated British scientists can attest. "}],[{"start":139.13,"text":"However, a separate report from the Special Competitive Studies Project in the US earlier this year also highlighted the striking progress that China has made in adopting many frontier technologies. According to the SCSP’s staff assessment, the US is still leading in semiconductors, synthetic biology and quantum computing while China dominates in advanced batteries, 5G and commercial drones. But the most contested, and arguably most consequential, area is artificial intelligence."}],[{"start":176.72,"text":"President Donald Trump has said that the US will do “whatever it takes” to lead the world in AI. And the big US tech companies, including OpenAI, Alphabet, Microsoft, Meta and Amazon, are making colossal investments to fulfil that ambition. OpenAI alone is planning to invest $400bn over the next few years to build out its Stargate data centres across the US. Last month, the Trump administration launched the Genesis Mission to boost the private AI sector by sharing the public data sets and computing resources of the country’s 17 national laboratories. “We’re essentially pitting our private capitalists against this nation state of China. The stakeholders here have two very different sets of resources, attributes, strengths and weaknesses,” says David Lin, a senior adviser to the SCSP."}],[{"start":233.2,"text":"But the US and China are also adopting very different approaches to adopting AI. The big US companies mostly favour massive, proprietary, “closed-weights” models, such as ChatGPT and Gemini, which may be best suited to achieving generalisable intelligence. By contrast, Chinese AI companies favour smaller, cheaper (and arguably less safe) “open-weights” models, such as DeepSeek and Alibaba’s Qwen, that can be more readily adapted by developers. In part, China is making a virtue of necessity because US export restrictions have denied it access to the state-of-the-art silicon chips needed to build the most powerful foundation models. But it also reflects China’s priority in rapidly diffusing the technology.  "}],[{"start":284.53,"text":"Michael Power, the former global strategist of the investment firm Ninety One, reckons the US is making a “catastrophic strategic error” in betting so heavily on giant closed AI models. “China’s model is turning out to be far more effective in terms of usable compute in the real world,” Power tells me, especially considering the country’s lower energy costs. Even Sam Altman, OpenAI’s chief executive, has expressed his personal concern that “we have been on the wrong side of history here”."}],[{"start":317.03,"text":"A recent study by MIT and Hugging Face found that Chinese open models have now overtaken comparable US models in terms of global adoption. Many US companies, including Airbnb, have become fans of the “fast and cheap” Qwen. In this critical area too the question arises: can the west catch up with China?"}],[{"start":347.35999999999996,"text":""}]],"url":"https://audio.ftcn.net.cn/album/a_1764917319_9669.mp3"}

版权声明:本文版权归FT中文网所有,未经允许任何单位或个人不得转载,复制或以任何其他方式使用本文全部或部分,侵权必究。

基尔•斯塔默接近辞去英国首相职务

此举可能使安迪•伯纳姆成为英国自脱欧以来十年间的第七位领导人。

安迪•伯纳姆补选获胜会给英国国债带来压力吗?

美联储偏好的通胀指标在上升吗?德国是否出现了初步复苏的迹象?

美伊关键会谈在瑞士开启

为实现永久停战而进行的谈判,初期将聚焦于黎巴嫩境内以色列与黎巴嫩真主党之间的冲突。

部分大臣认为斯塔默可能下周宣布辞职

安迪•伯纳姆在补选中获胜后,英国首相面临巨大压力,被要求明确其离任时间表。

普京的战争机器在无人机时代步履维艰

乌克兰的创新正在侵蚀俄罗斯的人力优势。

世界杯赛场上“小球队”抢尽风头

从佛得角到新西兰,排名靠后的球队正在拼尽全力,并收获越来越多的球迷。
设置字号×
最小
较小
默认
较大
最大
分享×