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

Amazon official said that the freight from the Chinese warehouse will be lower than the traditional FBA(Fulfillment by Amazon) fee, similar to the domestic air delivery small package service, which will undoubtedly greatly reduce the logistics costs of sellers. In addition to logistics, Amazon is also responsible for promotion and traffic, of course, sellers can still independently carry out product advertising, pricing and promotion activities, to maintain the personalized and independent brand. Many industry insiders said that Amazon launched the "low-price store" move to fight China's cross-border e-commerce platforms Temu, Shein, AliExpress and so on. Although it provides another platform for China's e-commerce to go to sea, many sellers said that the cost of settling in Amazon cross-border e-commerce has become lower, and they have asked about the conditions of settling in, but the rules look down, in fact, it is not so friendly for sellers.

Recently, according to the FT, citing the latest forecast data of the market research institute SemiAnalysis, AI chip giant NVIDIA will ship more than 1 million new NVIDIA H20 acceleration chips to the Chinese market this year, and it is expected that the cost of each chip is between $12,000 and $13,000. This is expected to generate more than $12 billion in revenue for Nvidia. Affected by the United States export control policy, Nvidia's advanced AI chip exports to China have been restricted, H20 is Nvidia based on H100 specifically for the Chinese market to launch the three "castration version" GPU among the strongest performance, but its AI performance is only less than 15% of H100, some performance is even less than the domestic Ascend 910B. When Nvidia launched the new H20 in the spring of this year, there were reports that due to the large castration of H20 performance, coupled with the high price, Chinese customers' interest in buying is insufficient, and they will turn more to choose China's domestic AI chips. Then there are rumors that Nvidia has lowered the price of the H20 in order to improve its competitiveness. However, the latest news shows that due to supply issues caused by the low yield of the Ascend 910B chip, Chinese manufacturers in the absence of supply and other better options, Nvidia H20 has started to attract new purchases from Chinese tech giants such as Baidu, Alibaba, Tencent and Bytedance. Analysts at both Morgan Stanley and SemiAnalysis said the H20 chip is now being shipped in bulk and is popular with Chinese customers, despite its performance degradation compared to chips Nvidia sells in the United States.

Apple is planning to revamp its smartwatch as its 10th birthday nears. The improvements include larger displays and thinner builds, Bloomberg reported. The revamped watches may also get a new chip, which could enable some AI enhancements. The Apple Watch is about to turn 10, so Apple is planning a birthday revamp, including larger displays and thinner builds, Bloomberg reported. Both versions of the new Series 10 watches will have screens similar to the large displays found on the Apple Watch Ultra, the report said. The revamped watches are also expected to contain a new chip that may permit some AI enhancements later on. Last month, Apple pulled back the curtain on its generative-AI plans with Apple Intelligence. Advertisement It hopes the artificial-intelligence features will prove alluring enough to persuade consumers to buy new Apple products. The announcement has been generally well received by Wall Street. Dan Ives of Wedbush Securities wrote in a Monday note that the "iPhone 16 AI-driven upgrade could represent a golden upgrade cycle for Cupertino." "We believe AI technology being introduced into the Apple ecosystem will bring monetization opportunities on both the services as well as iPhone/hardware front and adds $30 to $40 per share," he added. Apple's stock closed on Friday at just over $226 a share, up 22% this year and valuing the company at $3.47 trillion. That puts it just behind Microsoft, which was worth $3.48 trillion at Friday's close. The tech giants have been vying for the title of the world's most valuable company in recent months — with the chipmaker Nvidia briefing claiming the crown last month. Apple also announced some software updates for the watch at its Worldwide Developers Conference last month. The latest version of the device's software, watchOS 11, emphasizes fitness and health, introducing tools that allow users to rate workouts and adjust effort ratings. WatchOS 11 will also use machine learning to curate the best photos for users' displays. Apple has previously used product birthdays to release new versions of devices. The iPhone X's release marked the 10th anniversary of the smartphone. However, it's not clear exactly when Apple plans to release the revamped watches, Bloomberg said. The company announced the Apple Watch in September 2014, with CEO Tim Cook calling it "the most personal product we've ever made." Apple did not immediately respond to a request for comment made outside normal working hours.

Chat means chat, and GPT is the acronym for Gene Rate Pre trained Transformer. Genrative means generation, and its function is to create or produce something new; Pre trained refers to a model of artificial intelligence that is learned from a large amount of textual materials, while Transformer refers to a model of artificial intelligence. Don't worry about T, just focus on the words G and P. We mainly use its Generative function to generate various types of content; But we need to know why it can produce various types of content, and the reason lies in P. Only by learning a large amount of content can we proceed with reproduction. And this kind of learning actually has limitations, which is very natural. For example, if you have learned a lot of knowledge since childhood, can you guarantee that your answer to a question is completely correct? Almost impossible, firstly due to the limitations of knowledge, ChatGPT is no exception, as it is impossible to master all knowledge; The second is the accuracy of knowledge, how to ensure that all knowledge is accurate and error free; The third aspect is the complexity of knowledge, where the same concept is manifested differently in different contexts, making it difficult for even humans to grasp it perfectly, let alone AI. So when we use ChatGPT, we also need to monitor the accuracy of the output content of ChatGPT. It is likely not a problem, but if you want to use it on critical issues, you will need to manually review it again. And now ChatGPT has actually been upgraded twice, one is GPT4 with more accurate answering ability, and the other is the recent GPT Turbo. The current ChatGPT is a large model called multimodality, which differs from the first generation in that it can not only receive and output text, but also other types of input, such as images, documents, videos, etc. The output is also more diverse. In addition to text, it can also output images or files, and so on.