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。

“蓝领繁荣”的真相

技术型体力劳动带来些许亮点,但恐不足以扭转艰难的就业形势。

Anthropic如何在AI编程取得突破并撼动商业格局

新的人工智能驱动工具正在压缩软件开发的时间与成本,并对从法律到广告等行业构成威胁。

并非所有软件都面临相同的AI威胁

从安全服务到能够彻底改造的公司,许多企业或许都能在“AI末日大决战”中存活下来。

李开复:为何中国将在消费级AI领域击败美国

这位中国人工智能先驱谈到了AI领域两大强国之间的竞争,以及企业为何需要更积极主动地采用AI技术。

据信俄罗斯间谍航天器已拦截欧洲关键卫星通信

欧洲安全官员认为,莫斯科正将未加密的欧洲通信内容作为攻击目标。

印度欢迎特朗普的“协议”,但回避讨论俄油禁令

分析人士对美国总统声称莫迪已承诺停止购买俄罗斯原油一事深表怀疑。
设置字号×
最小
较小
默认
较大
最大
分享×