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Huawei's AI lab denies that one of its Pangu models copied Alibaba's Qwen

Huawei's AI lab denies that one of its Pangu models copied Alibaba's Qwen

Time of India2 days ago
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Huawei's artificial intelligence research division has rejected claims that a version of its Pangu Pro large language model has copied elements from an Alibaba model, saying that it was independently developed and trained.The division, called Noah Ark Lab , issued the statement on Saturday, a day after an entity called HonestAGI posted an English-language paper on code-sharing platform Github, saying Huawei's Pangu Pro Moe (Mixture of Experts) model showed "extraordinary correlation" with Alibaba's Qwen 2.5 14B.This suggests that Huawei's model was derived through "upcycling" and was not trained from scratch, the paper said, prompting widespread discussion in AI circles online and in Chinese tech-focused media.The paper added that its findings indicated potential copyright violation, the fabrication of information in technical reports and false claims about Huawei's investment in training the model.Noah Ark Lab said in its statement that the model was "not based on incremental training of other manufacturers' models" and that it had "made key innovations in architecture design and technical features." It is the first large-scale model built entirely on Huawei's Ascend chips, it added.It also said that its development team had strictly adhered to open-source license requirements for any third-party code used, without elaborating which open-source models it took reference from.Alibaba did not immediately respond to a Reuters request for comment. Reuters was unable to contact HonestAGI or learn who is behind the entity.The release of Chinese startup DeepSeek's open-source model R1 in January this year shocked Silicon Valley with its low cost and sparked intense competition between China's tech giants to offer competitive products.Qwen 2.5-14B was released in May 2024 and is one of Alibaba's small-sized Qwen 2.5 model family which can be deployed on PC and smartphones.While Huawei entered the large language model arena early with its original Pangu release in 2021, it has since been perceived as lagging behind rivals. It open-sourced its Pangu Pro Moe models on Chinese developer platform GitCode in late June, seeking to boost the adoption of its AI tech by providing free access to developers.While Qwen is more consumer-facing and has chatbot services like ChatGPT, Huawei's Pangu models tend to be more used in government as well as the finance and manufacturing sectors.
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Though part of the Kingdom of Denmark, Greenland is self-governing and controls its own natural resources, including some of the world's largest reserves of rare earth, lithium, cobalt, and uranium — all critical to the clean energy transition and modern defence technology. However, Greenland lacks processing infrastructure. Greenland's Minister for Business, Trade and Raw Materials, Naaja Nathanielsen, in a BBC report, said that interest in the territory's minerals has 'absolutely increased within the last five years or so.' Meanwhile, Mr. Trump even floated the idea of acquiring Greenland, calling it essential 'for national security and international security.' During a joint session in Congress in March, he said, 'We strongly support your right to determine your own future, and if you choose, we welcome you into the United States of America. We will make you rich.' Ukraine, too, holds enormous potential. According to USGS, the country has 5,00,000 tonnes of lithium in its reserves, 20% of global graphite reserves, and significant supplies of neodymium and other high-tech metals. As part of ceasefire negotiations, Russian President Vladimir Putin had hinted that rare earth reserves in the territories Russia captured during the war could be opened to global markets. However, a source who spoke to the South China Morning Post remains sceptical, citing damage on the ground and Ukraine's lack of refining capacity as major hurdles to replacing China's dominance. 'Even if Washington manages to strike a deal, war damage and population displacement from the war would make extraction tough,' he said. He also expressed doubts over how reliance on Ukraine would dislodge China's place from that global supply chain, given that the processing capabilities in any market are going to struggle to match what China currently offers. Other possible locations, according to USGS are: Australia, Brazil, Russia, India, Vietnam, and Canada, as well as African nations like Madagascar, Tanzania, South Africa, and Burundi. Parallel to these efforts, the U.S. is also investing in recycling rare earths from used electronics and magnets. For now, all the talk and frameworks offer a temporary easing of tensions — a narrow civilian corridor in a broader landscape of unresolved disputes. With military-grade materials still off the table, the deal falls short of a reset. And unless the U.S. and its allies significantly ramp up investments in rare earth processing infrastructure, China's dominance will remain not just an economic asset but a powerful geopolitical lever.

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