China has become a scientific superpower

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China has become a scientific superpower​


From plant biology to superconductor physics the country is at the cutting edge​

The 500-meter Aperture Spherical Telescope (FAST) in Pingtang County, southwest China's Guizhou Province.
photograph: liu xu/polaris/eyevine

Jun 12th 2024|london and beijing

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In the atrium of a research building at the Chinese Academy of Sciences (cas) in Beijing is a wall of patents. Around five metres wide and two storeys high, the wall displays 192 certificates, positioned in neat rows and tastefully lit from behind. At ground level, behind a velvet rope, an array of glass jars contain the innovations that the patents protect: seeds.

cas—the world’s largest research organisation—and institutions around China produce a huge amount of research into the biology of food crops. In the past few years Chinese scientists have discovered a gene that, when removed, boosts the length and weight of wheat grains, another that improves the ability of crops like sorghum and millet to grow in salty soils and one that can increase the yield of maize by around 10%. In autumn last year, farmers in Guizhou completed the second harvest of genetically modified giant rice that was developed by scientists at cas.

The Chinese Communist Party (ccp) has made agricultural research—which it sees as key to ensuring the country’s food security—a priority for scientists. Over the past decade the quality and the quantity of crop research that China produces has grown immensely, and now the country is widely regarded as a leader in the field. According to an editor of a prestigious European plant-sciences journal, there are some months when half of the submissions can come from China.

A journey of a thousand miles​

The rise of plant-science research is not unique in China. In 2019 The Economist surveyed the research landscape in the country and asked whether China could one day become a scientific superpower. Today, that question has been unequivocally answered: “yes”. Chinese scientists recently gained the edge in two closely watched measures of high-quality science, and the country’s growth in top-notch research shows no sign of slowing. The old science world order, dominated by America, Europe and Japan, is coming to an end.

One way to measure the quality of a country’s scientific research is to tally the number of high-impact papers produced each year—that is, publications that are cited most often by other scientists in their own, later work. In 2003 America produced 20 times more of these high-impact papers than China, according to data from Clarivate, a science analytics company (see chart 1). By 2013 America produced about four times the number of top papers and, in the most recent release of data, which examines papers from 2022 China had surpassed both America and the entire European Union (eu).

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chart: the economist

Metrics based on citations can be gamed, of course. Scientists can, and do, find ways to boost the number of times their paper is mentioned in other studies, and a recent working paper, by economists Qui Shumin, Claudia Steinwender and Pierre Azoulay, argues that Chinese researchers cite their compatriots far more than Western researchers do theirs. But China now leads the world on other benchmarks that are less prone to being gamed. It tops the Nature Index, created by the publisher of the same name, which counts the number of articles that appear in a set of prestigious journals. To be selected for publication, papers must be approved by a panel of peer reviewers who assess the study’s quality, novelty and potential for impact. When the index was first launched, in 2014, China came second, but contributed less than a third as many eligible papers as America did. By 2023 China had reached the top spot.

According to the Leiden Ranking of the volume of scientific research output, there are now six Chinese universities or institutions in the world top ten, and seven according to the Nature Index. They may not be household names in the West yet, but get used to hearing about Shanghai Jiao Tong, Zhejiang and Peking (Beida) Universities in the same breath as Cambridge, Harvard and eth Zurich. “Tsinghua is now the number one science and technology university in the world,” says Simon Marginson, a professor of higher education at Oxford University. “That’s amazing. They’ve done that in a generation.”

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chart: the economist

Today China leads the world in the physical sciences, chemistry and Earth and environmental sciences, according to both the Nature Index and citation measures (see chart 2). But America and Europe still have substantial leads in both general biology and medical sciences. “Engineering is the ultimate Chinese discipline in the modern period,” says Professor Marginson, “I think that’s partly about military technology and partly because that’s what you need to develop a nation.”

Applied research is a Chinese strength. The country dominates publications on perovskite solar panels, for example, which offer the possibility of being far more efficient than conventional silicon cells at converting sunlight into electricity. Chinese chemists have developed a new way to extract hydrogen from seawater using a specialised membrane to separate out pure water, which can then be split by electrolysis. In May 2023 it was announced that the scientists, in collaboration with a state-owned Chinese energy company, had developed a pilot floating hydrogen farm off the country’s south-eastern coast.

China also now produces more patents than any other country, although many are for incremental tweaks to designs, as opposed to truly original inventions. New developments tend to spread and be adopted more slowly in China than in the West. But its strong industrial base, combined with cheap energy, means that it can quickly spin up large-scale production of physical innovations like materials. “That’s where China really has an advantage on Western countries,” says Jonathan Bean, ceo of Materials Nexus, a British firm that uses ai to discover new materials.

The country is also signalling its scientific prowess in more conspicuous ways. Earlier this month, China’s Chang’e-6 robotic spacecraft touched down in a gigantic crater on the dark side of the Moon, scooped up some samples of rock, planted a Chinese flag and set off back towards Earth. If it successfully returns to Earth at the end of the month, it will be the first mission to bring back samples from this hard-to-reach side of the Moon.

First, sharpen your tools​

The reshaping of Chinese science has been achieved by focusing on three areas: money, equipment and people. In real terms, China’s spending on research and development (r&d) has grown 16-fold since 2000. According to the most recent data from the oecd, from 2021, China still lagged behind America on overall r&d spending, dishing out $668bn, compared with $806bn for America at purchasing-power parity. But in terms of spending by universities and government institutions only, China has nudged ahead. In these places America still spends around 50% more on basic research, accounting for costs, but China is splashing the cash on applied research and experimental development (see chart 3).

Money is meticulously directed into strategic areas. In 2006 the ccp published its vision for how science should develop over the next 15 years. Blueprints for science have since been included in the ccp’s five-year development plans. The current plan, published in 2021, aims to boost research in quantum technologies, ai, semiconductors, neuroscience, genetics and biotechnology, regenerative medicine, and exploration of “frontier areas” like deep space, deep oceans and Earth’s poles.

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chart: the economist

Creating world-class universities and government institutions has also been a part of China’s scientific development plan. Initiatives like “Project 211”, the “985 programme” and the “China Nine League” gave money to selected labs to develop their research capabilities. Universities paid staff bonuses—estimated at an average of $44,000 each, and up to a whopping $165,000—if they published in high-impact international journals.

Building the workforce has been a priority. Between 2000 and 2019, more than 6m Chinese students left the country to study abroad, according to China’s education ministry. In recent years they have flooded back, bringing their newly acquired skills and knowledge with them. Data from the oecd suggest that, since the late 2000s, more scientists have been returning to the country than leaving. China now employs more researchers than both America and the entire eu.

Many of China’s returning scientists, often referred to as “sea turtles” (a play on the Chinese homonym haigui, meaning “to return from abroad”) have been drawn home by incentives. One such programme launched in 2010, the “Youth Thousand Talents”, offered researchers under 40 one-off bonuses of up to 500,000 yuan (equivalent to roughly $150,000 at purchasing-power parity) and grants of up to 3m yuan to get labs up and running back home. And it worked. A study published in Science last year found that the scheme brought back high-calibre young researchers—they were, on average, in the most productive 15% of their peers (although the real superstar class tended to turn down offers). Within a few years, thanks to access to more resources and academic manpower, these returnees were lead scientists on 2.5 times more papers than equivalent researchers who had remained in America.

As well as pull, there has been a degree of push. Chinese scientists working abroad have been subject to increased suspicion in recent years. In 2018 America launched the China Initiative, a largely unsuccessful attempt to root out Chinese spies from industry and academia. There have also been reports of students being deported because of their association with China’s “military-civilian fusion strategy”. A recent survey of current and former Chinese students studying in America found that the share who had experienced racial abuse or discrimination was rising.

The availability of scientists in China means that, for example in quantum computing, some of the country’s academic labs are more like commercial labs in the West, in terms of scale. “They have research teams of 20, 30, even 40 people working on the same experiments, and they make really good progress,” says Christian Andersen, a quantum researcher at Delft University. In 2023 researchers working in China broke the record for the number of quantum bits, or qubits, entangled inside a quantum computer.
 

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China has also splurged on scientific kit. In 2019, when The Economist last surveyed the state of the country’s scientific research, it already had an enviable inventory of flashy hardware including supercomputers, the world’s largest filled-aperture radio telescope and an underground dark-matter detector. The list has only grown since then. The country is now home to the world’s most sensitive ultra-high-energy cosmic-ray detector (which has recently been used to test aspects of Albert Einstein’s special theory of relativity), the world’s strongest steady-state magnetic field (which can probe the properties of materials) and soon will have one of the world’s most sensitive neutrino detectors (which will be used to work out which type of these fundamental subatomic particles has the highest mass). Europe and America have plenty of cool kit of their own, but China is rapidly adding hardware.

Individual labs in China’s top institutions are also well equipped. Niko McCarty, a journalist and former researcher at the Massachusetts Institute of Technology who was recently given a tour of synthetic biology labs in China, was struck by how, in academic institutions, “the machines are just more impressive and more expansive” than in America. At the Advanced Biofoundry at the Shenzhen Institute of Advanced Technology, which the country hopes will be the centre of China’s answer to Silicon Valley, Mr McCarty described an “amazing building with four floors of robots”. As Chinese universities fill with state-of-the-art equipment and elite researchers, and salaries become increasingly competitive, Western institutions look less appealing to young and ambitious Chinese scientists. “Students in China don’t think about America as some “scientific Mecca” in the same way their advisers might have done,” said Mr McCarty.

Students visit Handan Artificial Intelligence Education Base during the science and technology week in Handan City, north China's Hebei Province.
All the flowers of all the tomorrowsphotograph: alamy

Take ai, for example. In 2019 just 34% of Chinese students working in the field stayed in the country for graduate school or work. By 2022 that number was 58%, according to data from the ai talent tracker by MacroPolo, an American think-tank (in America the figure for 2022 was around 98%). China now contributes to around 40% of the world’s research papers on ai, compared with around 10% for America and 15% for the eu and Britain combined. One of the most highly cited research papers of all time, demonstrating how deep neural networks could be trained on image recognition, was written by ai researchers working in China, albeit for Microsoft, an American company. “China’s ai research is world-class,” said Zachary Arnold, an ai analyst at the Georgetown Centre for Emerging Security and Technology. “In areas like computer vision and robotics, they have a significant lead.”

Growth in the quality and quantity of Chinese science looks unlikely to stop anytime soon. Spending on science and technology research is still increasing—the government has announced a 10% increase in funding in 2024. And the country is training an enormous number of young scientists. In 2020 Chinese universities awarded 1.4m engineering degrees, seven times more than America did. China has now educated, at undergraduate level, 2.5 times more of the top-tier ai researchers than America has. And by 2025, Chinese universities are expected to produce nearly twice as many phd graduates in science and technology as America.

To see further, ascend another floor​

Although China is producing more top-tier work, it still produces a vast amount of lower-quality science too. On average, papers from China tend to have lower impact, as measured by citations, than those from America, Britain or the eu. And while the chosen few universities have advanced, mid-level universities have been left behind. China’s second-tier institutions still produce work that is of relatively poor quality compared with their equivalents in Europe or America. “While China has fantastic quality at the top level, it’s on a weak base,” explains Caroline Wagner, professor of science policy at Ohio State University.

When it comes to basic, curiosity-driven research (rather than applied) China is still playing catch-up—the country publishes far fewer papers than America in the two most prestigious science journals, Nature and Science. This may partly explain why China seems to punch below its weight on the discovery of completely new technologies. Basic research is particularly scant within Chinese companies, creating a gap between the scientists making discoveries and the industries that could end up using them. “For more original innovation, that might be a minus,” says Xu Xixiang, chief scientist at longi Green Energy Technology, a Chinese solar company.

Incentives to publish papers have created a market for fake scientific publications. A study published earlier this year in the journal Research Ethics, featured anonymous interviews from Chinese academics, one of whom said he had “no choice but to commit [research] misconduct”, to keep up with pressures to publish, and retain his job. “Citation cartels” have emerged, where groups of researchers band together to write low-quality papers that cite each other’s work in an effort to drive up their metrics. In 2020 China’s science agencies announced that such cash-for-publication schemes should end and, in 2021, the country announced a nationwide review of research misconduct. That has led to improvements—the rate at which Chinese researchers cite themselves, for example, is falling, according to research published in 2023. And China’s middle-ranking universities are slowly catching up with their Western equivalents too.

The areas where America and Europe still hold the lead are, therefore, unlikely to be safe for long. Biological and health sciences rely more heavily on deep subject-specific knowledge and have historically been harder for China to “bring back and accelerate”, says Tim Dafforn, a professor of biotechnology at University of Birmingham and former adviser to Britain’s department for business. But China’s profile is growing in these fields. Although America currently produces roughly four times more highly influential papers in clinical medicine, in many areas China is producing the most papers that cite this core research, a sign of developing interest that presages future expansion. “On the biology side, China is growing remarkably quickly,” says Jonathan Adams, chief scientist at the Institute for Scientific Information at Clarivate. “Its ability to switch focus into a new area is quite remarkable.”

The rise of Chinese science is a double-edged sword for Western governments. China’s science system is inextricably linked with its state and armed forces—many Chinese universities have labs explicitly working on defence and several have been accused of engaging in espionage or cyber-attacks. China has also been accused of intellectual-property theft and increasingly stringent regulations have made it more difficult for international collaborators to take data out of the country; notoriously, in 2019, the country cut off access to American-funded work on coronaviruses at the Wuhan Institute of Virology. There are also cases of Chinese researchers failing to adhere to the ethical standards expected by Western scientists.

Despite the concerns, Chinese collaborations are common for Western researchers. Roughly a third of papers on telecommunications by American authors involve Chinese collaborators. In imaging science, remote sensing, applied chemistry and geological engineering, the figures are between a 25% and 30%. In Europe the numbers are lower, around 10%, but still significant. These partnerships are beneficial for both countries. China tends to collaborate more in areas where it is already strong like materials and physics. A preprint study, released last year, found that for ai research, having a co-author from America or China was equally beneficial to authors from the other country, conferring on average 75% more citations.

Several notable successes have come from working together, too. During the covid-19 pandemic a joint venture between Oxford University’s Engineering Department and the Oxford Suzhou Centre for Advanced Research developed a rapid covid test that was used across British airports. In 2015 researchers at University of Cardiff and South China Agricultural University identified a gene that made bacteria resistant to the antibiotic colistin. Following this, China, the biggest consumer of the drug, banned its use in animal feed, and levels of colistin resistance in both animals and humans declined.

In America and Europe, political pressure is limiting collaborations with China. In March, America’s Science and Technology Agreement with China, which states that scientists from both countries can collaborate on topics of mutual benefit, was quietly renewed for a further six months. Although Beijing appears keen to renew the 45-year-old agreement, many Republicans fear that collaboration with China is helping the country achieve its national-security goals. In Europe, with the exception of environmental and climate projects, Chinese universities have been effectively barred from accessing funding through the Horizon programme, a huge European research initiative.

There are also concerns among scientists that China is turning inwards. The country has explicit aims to become self-reliant in many areas of science and technology and also shift away from international publications as a way of measuring research output. Many researchers cannot to talk to the press—finding sources in China for this story was challenging. One Chinese plant scientist, who asked to remain anonymous, said that she had to seek permission a year in advance to attend overseas conferences. “It’s contradictory—on the one hand, they set restrictions so that scientists don’t have freedoms like being able to go abroad to communicate with their colleagues. But on the other hand, they don’t want China to fall behind.”

Live until old, learn until old​

The overwhelming opinion of scientists in China and the West is that collaboration must continue or, better, increase. And there is room to do more. Though China’s science output has grown dramatically, the share that is conducted with international collaborators has remained stable at around 20%—Western scientists tend to have far more international collaborations. Western researchers could pay more attention to the newest science from China, too. Data from a study published last year in Nature Human Behaviour showed that, for work of equivalent quality, Chinese scientists cite Western papers far more than vice versa. Western scientists rarely visit, work or study in China, depriving them of opportunities to learn from Chinese colleagues in the way Chinese scientists have done so well in the West.

Closing the door to Chinese students and researchers wishing to come to Western labs would also be disastrous for Western science. Chinese researchers form the backbone of many departments in top American and European universities. In 2022 more of the top-tier ai researchers working in America hailed from China than from America. The West’s model of science currently depends on a huge number of students, often from overseas, to carry out most day-to-day research.

There is little to suggest that the Chinese scientific behemoth will not continue growing stronger. China’s ailing economy may eventually force the ccp to slow spending on research, and if the country were to become completely cut off from the Western science community its research would suffer. But neither of these looks imminent. In 2019 we also asked if research could flourish in an authoritarian system. Perhaps over time its limits will become clear. But for now, and at least for the hard sciences, the answer is that it can thrive. “I think it’d be very unwise to call limits on the Chinese miracle,” says Prof Marginson. “Because it has had no limits up until now.”
 

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China Is Closing the A.I. Gap With the United States​


In recent weeks, Chinese tech companies have unveiled technologies that rival American systems — and they are already in the hands of consumers and software developers.



A.I. generated videos created from text prompts using Kling, a video generator made by the Chinese company Kuaishou.


  1. Prompt: “The astronaut jumps up from the moon’s surface and launches himself into space.”

    Kuaishou


  2. Prompt: “A giant panda is playing guitar by the lake.”

    Kuaishou


  3. Prompt: “A Chinese boy wearing glasses is eating a delicious cheeseburger in a fast food restaurant, with his eyes closed for enjoyment.”

    Kuaishou


  4. Prompt: “A couple is holding hands and walking in the starry sky, while the stars move dramatically in the background.”

    Kuaishou


  5. An A.I. generated video created from an archival photo without using text prompts.

    Kuaishou

By Meaghan Tobin and Cade Metz

Meaghan Tobin reported from Shanghai, and Cade Metz from San Francisco.

July 25, 2024
阅读简体中文版閱讀繁體中文版

At the World Artificial Intelligence Conference in Shanghai this month, start-up founder Qu Dongqi showed off a video he had recently posted online. It displayed an old photograph of a woman with two toddlers. Then the photo sprang to life as the woman lifted the toddlers up in her arms and they laughed with surprise.

The video was created by A.I. technology from the Chinese internet company Kuaishou. The technology was reminiscent of a video generator, called Sora, that the American start-up OpenAI unveiled this year. But unlike Sora, it was available to the general public.

“My American friends still can’t use Sora,” Mr. Qu said. “But we already have better solutions here.”

A.I. generated videos created from text prompts using Kling, a video generator made by the Chinese company Kuaishou.

  1. Prompt: “Mona Lisa puts on glasses with her hands.“

    Kuaishou
  2. https://vp.nyt.com/video/2024/07/23/121345_1_mosaic-ai-china-ai-cropped-23-2-627_wg_720p.mp4

    Prompt: “Einstein plays guitar.”

    Kuaishou
  3. https://vp.nyt.com/video/2024/07/23/121347_1_mosaic-ai-china-ai-cropped-23-4-724_wg_720p.mp4

    Prompt: “Kitten riding in an airplane and looking out the window.”

    Kuaishou
  4. https://vp.nyt.com/video/2024/07/23/121346_1_mosaic-ai-china-ai-cropped-23-3-440_wg_720p.mp4

    Prompt: “Cute shepherd dog running, tennis ball bouncing, warm atmosphere.”

    Kuaishou
  5. https://vp.nyt.com/video/2024/07/23/121348_1_mosaic-ai-china-ai-cropped-23-5-2-673_wg_720p.mp4

    Prompt: “A girl eating noodles.”

    Kuaishou

While the United States has had a head start on A.I. development, China is catching up. In recent weeks, several Chinese companies have unveiled A.I. technologies that rival the leading American systems. And these technologies are already in the hands of consumers, businesses and independent software developers across the globe.

While many American companies are worried that A.I. technologies could accelerate the spread of disinformation or cause other serious harm, Chinese companies are more willing to release their technologies to consumers or even share the underlying software code with other businesses and software developers. This kind of sharing of computer code, called open source, allows others to more quickly build and distribute their own products using the same technologies.

Open source has been a cornerstone of the development of computer software, the internet and, now, artificial intelligence. The idea is that technology advances faster when its computer code is freely available for anyone to examine, use and improve upon.

China’s efforts could have enormous implications as A.I. technology continues to develop in the years to come. The technology could increase the productivity of workers, fuel future innovations and power a new wave of military technologies, including autonomous weapons.
 

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When OpenAI kicked off the A.I. boom in late 2022 with the release of the online chatbot ChatGPT, China struggled to compete with technologies emerging from American companies like OpenAI and Google. (The New York Times has sued OpenAI and its partner, Microsoft, claiming copyright infringement of news content related to A.I. systems.) But China’s progress is now accelerating.

Kuaishou released its video generator, Kling, in China more than a month ago and to users worldwide on Wednesday. Just before Kling’s arrival, 01.AI, a start-up co-founded by Kai-Fu Lee, an investor and technologist who helped build Chinese offices for both Google and Microsoft, released chatbot technology that scored nearly as well as the leading American technologies on common benchmark tests that rate the performance of the world’s chatbots.

Kai-Fu Lee smiling for a photo while wearing a tuxedo at a formal event. Other people pass by in the background.


Kai-Fu Lee, a co-founder of the start-up 01.AI. The company unveiled a new version of its technology this year that sits near the top of a leaderboard that ranks the world’s best technologies.Credit...Krista Schlueter for The New York Times

New technology from the Chinese tech giant Alibaba has also leaped to the top of a leaderboard that rates open-source A.I. systems. “We have disproved the commonplace belief that China doesn’t have the talent or the technology to compete with the U.S.,” Dr. Lee said. “That belief is simply wrong.”

In interviews, a dozen technologists and researchers at Chinese tech companies said open-source technologies were a key reason that China’s A.I. development has advanced so quickly. They saw open-source A.I. as an opportunity for the country to take a lead.

But that will not be easy. The United States remains at the forefront of A.I. research. And U.S. officials have resolved to keep it that way.

The White House has instituted a trade embargo designed to prevent Chinese companies from using the most powerful versions of computer chips that are essential to building artificial intelligence. A group of lawmakers has introduced a bill that would make it easier for the White House to control the export of A.I. software built in the United States. Others are trying to limit the progress of open-source technologies that have helped fuel the rise of similar systems in China.

Disclosure:

The New York Times Company has sued OpenAI and Microsoft, claiming copyright infringement of content related to artificial intelligence systems. The companies have sought to dismiss some of the claims. Times reporters have no involvement in the case and remain independent in their coverage.

The top American companies are also exploring new technologies that aim to eclipse the powers of today’s chatbots and video generators.

“Chinese companies are good at replicating and improving what the U.S. already has,” said Yiran Chen, a professor of electrical and computer engineering at Duke University. “They are not as good at inventing something completely new that will bypass the U.S. in five to 10 years.”

But many in China’s tech industry believe that open-source technology could help them grow despite those constraints. And if U.S. regulators stifle the progress of American open-source projects (as some lawmakers are discussing) China could gain a significant edge. If the best open-source technologies come from China, U.S. developers could end up building their systems atop Chinese technologies.

“Open-source A.I. is the foundation of A.I. development,” said Clément Delangue, chief executive of Hugging Face, a company that houses many of the world’s open-source A.I. projects. The U.S. built its leadership in A.I. through collaboration between companies and researchers, he said, “and it looks like China could do the same thing.”


Clément Delangue walking with a group of people outside the U.S. Capitol.


Clément Delangue, right, the chief executive of the A.I. company Hugging Face, said that open-source technology could help China make gains in the field of A.I.Credit...Kenny Holston/The New York Times

While anyone with a computer can change open-source software code, it takes a lot of data, skill and computing power to fundamentally alter an A.I. system. When it comes to A.I., open source typically means that a system’s building blocks serve as a foundation that allows others to build something new, said Fu Hongyu, the director of A.I. governance at Alibaba’s research institute, AliResearch.

As in other countries, in China there is an intense debate over whether the latest technological advances should be made accessible to anyone or kept as closely held company secrets. Some, like Robin Li, the chief executive of Baidu, one of the few companies in China building its own A.I. technology entirely from scratch, think the technology is most profitable and secure when it is closed-source — that is, in the hands of a limited few.

A.I. systems require enormous resources: talent, data and computing power. Beijing has made it clear that the benefits accruing from such investments should be shared. The Chinese government has poured money into A.I. projects and subsidized resources like computing centers.

But Chinese tech companies face a major constraint on the development of their A.I. systems: compliance with Beijing’s strict censorship regime, which extends to generative A.I. technologies.

Kuaishou’s new video generator Kling appears to have been trained to follow the rules. Text prompts with any mention of China’s president, Xi Jinping, or controversial topics like feminism and the country’s real estate crisis yielded error messages. An image prompt of this year’s National People’s Congress yielded a video of the delegates shifting in their seats.

Kuaishou did not respond to questions about what steps the company took to prevent Kling from creating harmful, fake or politically sensitive content.

By making their most advanced A.I. technologies freely available, China’s tech giants are demonstrating their willingness to contribute to the country’s overall technological advancement as Beijing has established that the power and profit of the tech industry should be channeled toward the goal of self sufficiency.

The concern for some in China is that the country will struggle to amass the computing chips it needs to build increasingly powerful technologies. But that has not yet prevented Chinese companies from building powerful new technologies that can compete with U.S. systems.

At the end of last year, Dr. Lee’s company, 01.AI, was ridiculed on social media when someone discovered that the company had built its A.I. system using open-source technology originally built by Meta, owner of Facebook and Instagram. Some saw it as a symbol of China’s dependence on American ingenuity.

Six months later, 01.AI unveiled a new version of its technology. It now sits near the top of the leaderboard that ranks the world’s best technologies. Around the same time, a team from Stanford University in California unveiled Llama 3-V, claiming it outperformed other leading models. But a Chinese researcher soon noticed that the model was based on an open-source system originally built in China.

It was the reverse of the controversy surrounding 01.AI last year: Rather than Chinese developers building atop U.S. technology, U.S. developers built atop Chinese technology.

If regulators limit open-source projects in the United States and Chinese open-source technologies become the gold standard, Mr. Delangue said, this kind of thing could become the norm.

“If the trend continues, it becomes more and more of a challenge for the U.S.,” he said.
 
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