Huawei's AI Lab Denies that One of its Pangu Models Copied Alibaba's Qwen

FILE PHOTO: Huawei logo is seen during Munich Auto Show, IAA Mobility 2021 in Munich, Germany, September 8, 2021. REUTERS/Wolfgang Rattay/File Photo
FILE PHOTO: Huawei logo is seen during Munich Auto Show, IAA Mobility 2021 in Munich, Germany, September 8, 2021. REUTERS/Wolfgang Rattay/File Photo
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Huawei's AI Lab Denies that One of its Pangu Models Copied Alibaba's Qwen

FILE PHOTO: Huawei logo is seen during Munich Auto Show, IAA Mobility 2021 in Munich, Germany, September 8, 2021. REUTERS/Wolfgang Rattay/File Photo
FILE PHOTO: Huawei logo is seen during Munich Auto Show, IAA Mobility 2021 in Munich, Germany, September 8, 2021. REUTERS/Wolfgang Rattay/File Photo

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.

According to Reuters, 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.



KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.


Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
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Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)

Uber Technologies and Lyft are teaming up with Chinese tech giant Baidu to try out driverless taxis in the UK next year, marking a major step in the global race to commercialize robotaxis.

It highlights how ride-hailing platforms are accelerating autonomous rollout through partnerships, positioning London as an early proving ground for large-scale robotaxi services ‌in Europe.

Lyft, meanwhile, plans ‌to deploy Baidu's ‌autonomous ⁠vehicles in Germany ‌and the UK under its platform, pending regulatory approval. Both companies have abandoned in-house development of autonomous vehicles and now rely on alliances to accelerate adoption.

The partnerships underscore how global robotaxi rollouts are gaining momentum. ⁠Alphabet's Waymo said in October it would start ‌tests in London this ‍month, while Baidu ‍and WeRide have launched operations in the ‍Middle East and Switzerland.

Robotaxis promise safer, greener and more cost-efficient rides, but profitability remains uncertain. Public companies like Pony.ai and WeRide are still loss-making, and analysts warn the economics of expensive fleets could pressure margins ⁠for platforms such as Uber and Lyft.

Analysts have said hybrid networks, mixing robotaxis with human drivers, may be the most viable model to manage demand peaks and pricing.

Lyft completed its $200 million acquisition of European taxi app FreeNow from BMW and Mercedes-Benz in July, marking its first major expansion beyond North America and ‌giving the US ride-hailing firm access to nine countries across Europe.


Italy Fines Apple Nearly 100m Euros over App Privacy Feature

An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
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Italy Fines Apple Nearly 100m Euros over App Privacy Feature

An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights

Italy's competition authority said Monday it had fined US tech giant Apple 98 million euros ($115 million) for allegedly abusing its dominant position in the mobile app market.

According to AFP, the AGCM said in a statement that Apple had violated privacy regulations for third-party developers in a market where it "holds a super-dominant position through its App Store".

The body said its investigation had established the "restrictive nature" of the "privacy rules imposed by Apple... on third-party developers of apps distributed through the App Store".

The rules of Apple's App Tracking Transparency (ATT) "are imposed unilaterally and harm the interests of Apple's commercial partners", according to the AGCM statement.

French antitrust authorities earlier this year handed Apple a 150-million euro fine over its app tracking privacy feature.

Authorities elsewhere in Europe have also opened similar probes over ATT, which Apple promotes as a privacy safeguard.

The feature, introduced by Apple in 2021, requires apps to obtain user consent through a pop-up window before tracking their activity across other apps and websites.

If they decline, the app loses access to information on that user which enables ad targeting.

Critics have accused Apple of using the system to promote its own advertising services while restricting competitors.