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Stanford AI project team apologizes for plagiarizing Chinese model

An artificial intelligence (AI) team at Stanford University apologized for plagiarizing a large language model (LLM) from a Chinese AI company, which became a trending topic on the Chinese social media platforms, where it sparked concern among netizens on Tuesday.

We apologize to the authors of MiniCPM [the AI model developed by a Chinese company] for any inconvenience that we caused for not doing the full diligence to verify and peer review the novelty of this work, the multimodal AI model Llama3-V's developers wrote in a post on social platform X.

The apology came after the team from Stanford University announced Llama3-V on May 29, claiming it had comparable performance to GPT4-V and other models with the capability to train for less than $500.

According to media reports, the announcement published by one of the team members quickly received more than 300,000 views.

However, some netizens from X found and listed evidence of how the Llama3-V project code was reformatted and similar to MiniCPM-Llama3-V 2.5, an LLM developed by a Chinese technology company, ModelBest, and Tsinghua University.

Two team members, Aksh Garg and Siddharth Sharma, reposted a netizen's query and apologized on Monday, while claiming that their role was to promote the model on Medium and X (formerly Twitter), and that they had been unable to contact the member who wrote the code for the project.

They looked at recent papers to validate the novelty of the work but had not been informed of or were aware of any of the work by Open Lab for Big Model Base, which was founded by the Natural Language Processing Lab at Tsinghua University and ModelBest, according to their responses. They noted that they have taken all references to Llama3-V down in respect to the original work.

In response, Liu Zhiyuan, chief scientist at ModelBest, spoke out on the Chinese social media platform Zhihu, saying that the Llama3-V team failed to comply with open-source protocols for respecting and honoring the achievements of previous researchers, thus seriously undermining the cornerstone of open-source sharing.

According to a screenshot leaked online, Li Dahai, CEO of ModelBest, also made a post on his WeChat moment, saying that the two models were verified to have highly similarity in terms of providing answers and even the same errors, and that some relevant data had not yet been released to the public.

He said the team hopes that their work will receive more attention and recognition, but not in this way. He also called for an open, cooperative and trusting community environment.

Director of the Stanford Artificial Intelligence Laboratory Christopher Manning also responded to Garg's explanation on Sunday, commenting "How not to own your mistakes!" on X.

As the incident became a trending topic on Sina Weibo, Chinese netizens commented that academic research should be factual, but the incident also proves that the technology development in China is progressing.

Global Times

Stanford AI project team apologizes for plagiarizing Chinese model
An artificial intelligence (AI) team at Stanford University apologized for plagiarizing a large language model (LLM) from a Chinese AI company, which became a trending topic on the Chinese social media platforms, where it sparked concern among netizens on Tuesday. We apologize to the authors of MiniCPM [the AI model developed by a Chinese company] for any inconvenience that we caused for not doing the full diligence to verify and peer review the novelty of this work, the multimodal AI model Llama3-V's developers wrote in a post on social platform X. The apology came after the team from Stanford University announced Llama3-V on May 29, claiming it had comparable performance to GPT4-V and other models with the capability to train for less than $500. According to media reports, the announcement published by one of the team members quickly received more than 300,000 views. However, some netizens from X found and listed evidence of how the Llama3-V project code was reformatted and similar to MiniCPM-Llama3-V 2.5, an LLM developed by a Chinese technology company, ModelBest, and Tsinghua University. Two team members, Aksh Garg and Siddharth Sharma, reposted a netizen's query and apologized on Monday, while claiming that their role was to promote the model on Medium and X (formerly Twitter), and that they had been unable to contact the member who wrote the code for the project. They looked at recent papers to validate the novelty of the work but had not been informed of or were aware of any of the work by Open Lab for Big Model Base, which was founded by the Natural Language Processing Lab at Tsinghua University and ModelBest, according to their responses. They noted that they have taken all references to Llama3-V down in respect to the original work. In response, Liu Zhiyuan, chief scientist at ModelBest, spoke out on the Chinese social media platform Zhihu, saying that the Llama3-V team failed to comply with open-source protocols for respecting and honoring the achievements of previous researchers, thus seriously undermining the cornerstone of open-source sharing. According to a screenshot leaked online, Li Dahai, CEO of ModelBest, also made a post on his WeChat moment, saying that the two models were verified to have highly similarity in terms of providing answers and even the same errors, and that some relevant data had not yet been released to the public. He said the team hopes that their work will receive more attention and recognition, but not in this way. He also called for an open, cooperative and trusting community environment. Director of the Stanford Artificial Intelligence Laboratory Christopher Manning also responded to Garg's explanation on Sunday, commenting "How not to own your mistakes!" on X. As the incident became a trending topic on Sina Weibo, Chinese netizens commented that academic research should be factual, but the incident also proves that the technology development in China is progressing. Global Times
Apple's low-end Apple Watch uses a plastic case
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WhatsApp's new feature will let Meta AI edit your photos for you
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Exclusive: Japan must strengthen NATO ties to safeguard global peace, PM says
TOKYO, July 9 (Reuters) - Russia's deepening military cooperation with North Korea has underlined the need for Japan to forge closer ties with NATO as regional security threats become increasingly intertwined, Prime Minister Fumio Kishida told Reuters. In written remarks ahead of his attendance at a NATO summit in Washington DC this week, Kishida also signalled concern over Beijing's alleged role in aiding Moscow's two-year-old war in Ukraine, although he did not name China. "The securities of the Euro-Atlantic and the Indo-Pacific are inseparable, and Russia’s aggression against Ukraine and its deepened military cooperation with North Korea are strong reminders of that," Kishida said. "Japan is determined to strengthen its cooperation with NATO and its partners," he added. The world, the Japanese leader said, should not tolerate attempts by some countries to disrupt the established international order and reiterated a warning that Ukraine today could be East Asia tomorrow. He also urged cooperation to confront new security threats that transcend geographical boundaries, such as cyber-attacks and conflicts in space. The U.S. and its allies have accused Pyongyang of providing ballistic missiles and artillery shells that Russia has used in its war in Ukraine and say they fear Moscow in return could provide support for North Korea's nuclear missile development. Washington has also said China is supplying droneWithout naming China, Kishida told Reuters "some countries" have allegedly transferred dual-use civilian-military goods to Russia which has served "as a lifeline" for its Ukraine war. "It is necessary to grapple with such situations in a multi-faceted and strategic manner, taking a panoramic view that considers the full range of international actors fuelling Russia’s attempt to change the status quo by force," he said. "The geographical boundary of 'Euro-Atlantic' or 'Indo-Pacific' is no longer relevant in safeguarding global peace and security. Japan and Indo-Pacific partners can play a great role for NATO allies from this perspective." Constrained by decades of pacifism, Tokyo has been reluctant to supply lethal aid to Ukraine. It has, however, provided financial aid to Kyiv, spearheaded efforts to prepare for its post-war reconstruction, and contributed to NATO’s fund to provide Ukraine with non-lethal equipment such as anti-drone detection systems. Tokyo has also repeatedly warned about the risks of a similar conflict emerging in East Asia, where China has been taking an increasingly muscular stance towards its territorial claims including the democratic island of Taiwan. "This summit is a critical opportunity for Japan, the U.S., and the other NATO allies to confront the ongoing challenges against the international order and to reaffirm values and principles that have shaped global peace and prosperity," he said. There may be limits, however, over how far NATO members are prepared to go in forging closer ties in Asia. A plan that surfaced last year for NATO to open a liaison office in Japan, its first in Asia, was blocked by France and criticised by China. and missile technology, satellite imagery and machine tools to Russia, items which fall short of lethal assistance but are helping Moscow build its military to sustain the Ukraine war. Beijing has said it has not provided any weaponry to any party.
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