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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

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Another flare on 20 May, later estimated to be an even bigger X12, hurled X-rays and gamma rays towards Mars before a subsequent coronal mass ejection launched a barrage of charged particles in the same direction. Images beamed back from Nasa's Curiosity Rover on Mars revealed just now much energy struck the Martian surface. Streaks and dots caused by charged particles hitting the camera's sensors caused the images to "dance with snow", according to a press release from Nasa. Maven, meanwhile, captured glowing aurora as the particles hit the Mars' atmosphere, engulfing the entire planet in an ultraviolet glow. The flares can cause the temperature of the Martian atmosphere to "dramatically increase," says Curry. "It can even double in the upper atmosphere. The atmosphere itself inflates. The entire atmosphere expands dozens of kilometres – exciting for scientists but detrimental for spacecraft, because when the atmosphere expands there's more drag on the spacecraft." 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The variability in the slow solar wind seems to be driven by the unpredictable flow of plasma inside the Sun, which makes the magnetic field particularly chaotic. The X-class flares and coronal mass ejections seen in May transformed the interplanetary medium as they flung out material across the solar system. Solar Orbiter detected a huge spike in ions moving at thousands of kilometres per second immediately after the 20 May flare. Computers on board other spacecraft – the BepiColombo probe, which is currently on a seven-year journey to Mercury, and Mars Express, in orbit around the Red Planet – both saw a dramatic increase in the number of memory errors caused by the high energy solar particles hitting the memory cells. The day after the coronal mass ejection, magnetometers on board the Solar Orbiter also saw large swings in the magnetic field around the spacecraft as a huge bubble of plasma made up of charged particles thrown out from by the event washed past it at 1,400km/s (870 miles/s). Increased solar activity is a boon for scientists. "If you track the number of papers produced by solar physicists, you can almost see an 11-year cycle in there," says Owens. "We are all more scientifically productive when there's a lot of activity to study." As the Sun continues into solar maximum, the Solar System will see more and more activity streaming from its surface. Yet while all the planets witness at least some of the activity, our planet bears the brunt more than most. "Earth is slightly unique in that space weather can have interesting effects on human technologies," says Wild. "There's an extra dimension here on Earth." Perhaps one day those anthropogenic effects might be felt elsewhere, too. "If you're going to fly to Mars and you have a six-month flight through the interplanetary environment, you're going to potentially suck up a lot of space weather events," says Wild. "How you protect your astronauts is an interplanetary issue that we need to get our heads around."