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Huawei's AI Lab Fends Off Accusations It Copied Rival Models
Huawei Technologies Co.'s secretive AI research lab has pushed back against accusations it relied on rivals' models to develop its own Pangu platform, taking the unusual step of rebutting claims about its artificial intelligence efforts. The Pangu Pro MoE is the world's first model of its kind to be trained on Ascend chips -- Huawei's answer to Nvidia Corp.'s AI accelerators -- the lab said in a WeChat post over the weekend. While the company employed open-source code -- as is "common practice" -- Huawei said it respected intellectual property and stuck closely to licensing terms. This followed accusations posted on the coding platform Github that Pangu's source code contained uncredited material from key rivals.
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Huawei's AI lab denies that one of its Pangu models copied Alibaba's Qwen
BEIJING/SHANGHAI, July 7 (Reuters) - 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 (9988.HK), opens new tab 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. Reporting by Che Pan,Liam Mo and Brenda Goh; Editing by Edwina Gibbs Our Standards: The Thomson Reuters Trust Principles., opens new tab Suggested Topics:Artificial Intelligence
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Huawei's AI lab denies that one of its Pangu models copied Alibaba's Qwen - The Economic Times
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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Huawei's AI research division, Noah Ark Lab, denies allegations that its Pangu Pro large language model copied elements from Alibaba's Qwen model, asserting independent development and adherence to open-source practices.
Huawei Technologies Co.'s artificial intelligence research division, Noah Ark Lab, has vehemently denied accusations that its Pangu Pro large language model (LLM) copied elements from Alibaba's Qwen model. The controversy erupted after an entity called HonestAGI published a paper on Github, claiming "extraordinary correlation" between Huawei's Pangu Pro Moe (Mixture of Experts) model and Alibaba's Qwen 2.5 14B 1.
Source: Bloomberg Business
The HonestAGI paper suggested that Huawei's model was derived through "upcycling" rather than being trained from scratch. It further alleged potential copyright violations, fabrication of information in technical reports, and false claims about Huawei's investment in training the model 2.
In response, Noah Ark Lab issued a statement asserting that the Pangu Pro Moe model was "not based on incremental training of other manufacturers' models" and had "made key innovations in architecture design and technical features." The lab emphasized that Pangu Pro is the world's first model of its kind to be trained on Ascend chips – Huawei's answer to Nvidia Corp.'s AI accelerators 3.
Huawei acknowledged the use of open-source code, describing it as "common practice" in the industry. The company stated that it respected intellectual property and adhered strictly to licensing terms. However, they did not elaborate on which specific open-source models were referenced in the development process 1.
Source: Reuters
The controversy highlights the intense competition among Chinese tech giants in the AI sector. The release of DeepSeek's open-source model R1 in January 2025 sparked a race to offer competitive products. While Huawei was an early entrant in the LLM arena with its original Pangu release in 2021, it has been perceived as lagging behind rivals 2.
Interestingly, Huawei's Pangu models and Alibaba's Qwen serve different market segments. Qwen is more consumer-facing with chatbot services similar to ChatGPT, while Huawei's Pangu models are primarily used in government, finance, and manufacturing sectors 1.
As the AI race intensifies, this incident underscores the growing importance of intellectual property rights and transparency in AI model development. The controversy has sparked widespread discussion in AI circles and Chinese tech-focused media, highlighting the need for clear guidelines and ethical practices in the rapidly evolving field of artificial intelligence.
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