CNN reports on yaks "designed and cloned" in secretive, high-altitude labs in Tibet — 2.4 miles (4,000 meters) above sea level. They're a critical part of the local economy, and researchers "hope to create an 'elite' herd of super-yaks, healthier and more fertile than their predecessors." Both domestic yaks and their wild cousins have been facing threats for years, with some rare subspecies at risk of disappearing entirely. Authorities in the southwestern Chinese region have poured tens of millions of dollars into boosting the yak industry in recent years — and they hope cloning can help. The first yak clone came in July 2025, Chinese state media hailing it as a breakthrough achievement that combined cloning with gene selection. More clones were born this spring — and researchers are now aiming to create a herd of more than 100 "elite" yak clones by 2028, boasting desired traits like faster growth and larger size. "This shows the technology has moved from a one-time success to a stable, mass-scale application," said Fang Shengguo, the project's scientific lead and director of the State Conservation Center for Gene Resources of Endangered Wildlife, according to state-run news agency Xinhua... Many experts acknowledge there are legitimate arguments for using cloning in conservation, and for gene selection in farming. But the ethical waters are murky, and any such project should have high levels of public transparency and accountability, said Lisa Moses, a veterinarian and bioethicist at Harvard Medical School. So far, much of the yak cloning project remains mysterious, with information largely limited to glowing state-media coverage... [S]ome scientists say these projects reduce our sense of urgency toward fixing the environment, and that we can't simply churn out clones while the planet burns. To truly enact change, they say, we have to continue addressing the root cause of the problem — restoring degraded habitats, lowering carbon emissions, cracking down on poaching, and more. But for others, "there is a strong feeling ... that traditional conservation is essentially failing now," Moses said. "What we've been doing for the last 100 years to try to stave off ecological destruction is not working.... The argument is, we don't have a choice," she added. "If we want to try to do something that will actually make a difference, we need to use these technologies, specifically synthetic biology, to essentially override evolution and change the fitness of the species for the environment that they live in." "History is littered with good intentions in the environment gone wrong," Moses said, "and I would argue that these technologies have even more unknowns than ones that we previously employed." The article points out that the number of wild yaks "dropped more than a third in the last 30 years, with just 10,000 to 20,000 individuals left, according to the Wildlife Conservation Society." The yaks are threatened by climate change and habitat degradation, "with warmer temperatures bringing invasive plant species and increased competition for resources... in one of the world's most inhospitable terrains."

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Moonshot AI has temporarily paused new subscriptions for its Kimi K3 model after demand surged beyond the company's current capacity within days of the launch. The open-source Chinese AI model, described as one of the largest of its kind at 2.8 trillion parameters, has rattled U.S. rivals by beating Anthropic's Fable 5 and OpenAI's GPT-5.6 Sol in front-end coding tests. The Associated Press reports: "Kimi K3 has received far more love than we expected," Moonshot AI, which is Beijing-based, wrote in a X post late on Sunday. "Over the past 48 hours, demand has pushed close to the limits of our current capacity." Moonshot said that it's prioritizing existing subscribers and would be temporarily pausing new ones. "We're adding capacity as fast as we can and will reopen new subscription spots in batches," it added. The AI startup also posted a similar message on Chinese social media. "New model releases generally trigger massive interest, which can strain existing compute infrastructure," said Lian Jye Su, a chief analyst at the technology research and advisory group Omdia. "This does show Moonshot AI does not have sufficient compute chips to serve the current surge in demand." Su said that the key reason was more likely due to Moonshot not fully anticipating the surge in K3's popularity. K3 is "very demanding" in terms of compute requirements, he said, making compute allocation challenging and expensive.

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Xi Jinping used his first appearance at China's World AI Conference to promote a vision of low-cost, broadly accessible AI and call for international cooperation rather than technological rivalry. "AI development should not be a solo performance by a single country, but a symphony of international cooperation," he said. Bloomberg reports: His presence at the gathering, attended by scores of tech and government leaders, conveys a potent signal of China's ambitions to dominate a technological sphere with the potential to revolutionize industry and economies -- an effort that's shot to the top of the nation's agenda. Chinese models are winning over companies worldwide, with their share of US firms' AI usage nearing a record 60% on the popular marketplace OpenRouter. Behind the rhetoric, Beijing is grappling with the balance between openness and national security as models grow more capable. Chinese officials recently discussed with companies including Alibaba -- developer of the popular Qwen models -- how to mitigate the security risks posed by their increasingly powerful models, people familiar with the matter said. The talks are early, with no enforcement planned, but restricting foreign access to top models was among the options raised, the people said. Reuters previously reported that Beijing was weighing curbs on overseas access. Earlier today, the Beijing-based AI company "Moonshot" released a massive new model that reset the AI race overnight, immediately vaulting into the top tier of global AI, beating Anthropic's Fable 5 and OpenAI's GPT-5.6 Sol in front-end coding tests.

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In March, Anthropic's Claude "quietly deployed software to spy on China-based customers," reports the Washington Post — apparently to unmask Chinese rivals "suspected of hijacking its technology to make their own AI tools smarter." Last week Anthropic removed the spyware "after a software developer revealed its existence and privacy advocates criticized Anthropic, saying it had surveilled its own users." Anthropic's tracking code was designed in part to catch Chinese firms "distilling" its AI models, a technique that involves pressing a large, expensive AI system to serve as a tutor to a smaller, cheaper one. Asking the larger system huge numbers of questions — hundreds of thousands or more — generates responses that can be used to upgrade the power of the smaller one on the cheap. Distillation isn't illegal, and it has been used for years in the AI industry. But distillation without permission is against AI companies' rules, and, used effectively, is giving Chinese AI companies a major leg up, American AI companies say... Anthropic and ChatGPT-maker OpenAI have both accused Chinese AI companies of using this technique to build copycat AI models of their own. In a May blog post, Anthropic said that Chinese companies' use of distillation, along with evading U.S. export controls on high-end computer chips, has allowed them to "trail closely" behind U.S. models. But if these techniques can be blocked, it might be possible for the United States to "lock in a 12-24 month lead" on Chinese capabilities, the company said... This month, Anthropic said in a letter to U.S. senators that was obtained by The Post that it uncovered a campaign in which Chinese tech giant Alibaba's Qwen AI team used roughly 25,000 fraudulent accounts to generate more than 28.8 million exchanges with Claude to improve its own technology. In February, Anthropic made similar accusations against the Chinese firms Deepseek, Moonshot and MiniMax and said the campaigns were "growing in intensity and sophistication...." Anthropic and OpenAI have appealed to the U.S. government, arguing that distillation amounts to intellectual property theft that harms the U.S. in the geopolitical AI contest.... That Chinese AI labs are using U.S. models to improve their own technology appears beyond dispute. In a February 2025 study, researchers from China's Peking University and the state-funded Chinese Academy of Sciences developed methods to detect signs of distillation in leading large language models. They concluded that, with the exception of ByteDance's Doubao, most domestic models they tested showed substantial evidence of distillation, mostly drawing from U.S. models... In one set of intensive tests, a Qwen model misidentified itself as Claude nearly a third of the time, the Chinese researchers found. U.S. firms have also used distillation to piggyback on AI systems made by others. In 2024, OpenAI released a tool to make it easier for customers to distill its own models and produce data sets for AI training. SpaceX founder Elon Musk said in court testimony in May that his AI company xAI used distillation to train its models and that the technique is common throughout the industry. The article also notes that Anthropic "said it has banned nearly 700,000 accounts that were using Claude in China." But the article includes this quote from Kyle Chan, a fellow at the Washington-based Brookings Institution's China Center. "Anthropic's framing is that this is a geopolitical contest for basically the future of the world and freedom and democracy. It's that this is not just undercutting the U.S. commercially, but undercutting American strategic advantage in the most powerful technology we know today."

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Nobel-winning chemist Omar Yaghi is leaving UC Berkeley for China's Tsinghua University, where he will lead a new AI institute focused on accelerating the discovery of advanced materials. "Last week, Tsinghua University in Beijing welcomed Dr. Yaghi in an appointment ceremony, calling him one of the world's foremost chemists," reports The New York Times. "The university said he saw his new post as an opportunity 'not to slow down, not to repeat what has already been done, but to do science with more energy, more intensity, and more ambition than ever before.'" From the report: Dr. Yaghi was born in Amman, Jordan, to Palestinian refugees whose one-room home lacked electricity and running water. Early on, he became fascinated with a schoolbook's depiction of atomic building blocks. When he was 15, his father, a butcher, sent him to the United States. Last year, before flying to Stockholm to receive his Nobel Prize, Dr. Yaghi in an interview with The New York Times voiced concern about Mr. Trump's immigration policies, saying that they endanger the nation's system of universities, companies and governments that promote scientific excellence. "I think it's regrettable," he said of Mr. Trump's nationalism. "We have to know that people coming from different backgrounds improve the level for everybody involved," he added. "That's an amazing story. Great thinkers can improve not only the U.S. but the world." Dr. Yaghi joined the University of California, Berkeley, in 2012, and while there earned many awards for his scientific advances. He received his Nobel Prize for helping discover a world of chemistry in which molecular building blocks are assembled into structures that possess vast internal surface areas -- the largest of any known substance. His porous structures can act like sponges that readily absorb, store and release gases and vapors. He named them metal-organic frameworks. The metal atoms form an adjustable framework that can hold chemicals associated with life -- carbon atoms in particular. While deeply theoretical, the frameworks are so radical, innovative and flexible in nature that materials experts and companies foresee many commercial uses for them. The frameworks can, for instance, harvest water from desert air. In 2018, Dr. Yaghi's students at Berkeley tested the idea in the Mojave Desert in California, finding that a small passive harvester could each day produce nearly three cups of pure, drinkable water. The device is now nearing commercialization. In the interview with The Times, Dr. Yaghi credited the invention to his boyhood efforts to secure water for his family. The municipal pipes worked for only a few hours every week or two. That hardship, he added, shows how the diverse experiences of emigres can lead to unexpected breakthroughs. Dr. Yaghi has longstanding ties with Tsinghua University. In 2022, the Beijing school appointed him as an honorary professor and in that role he closely followed its work in chemistry, materials science and related disciplines. Now, on joining Tsinghua full time, Dr. Yaghi is being named as the head of a new A.I. institute for science research that will focus on the design and synthesis of new materials. Its underlying aim, the university said, is to "overcome the efficiency bottlenecks of traditional trial-and-error approaches" and shorten the usual cycles of discovery.

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