According to AndroidAuthority, the Linux kernel used by Android devices is mostly derived from Google's Android Universal Kernel (ACK) branch, which is created from the Android mainline kernel branch when new LTS versions are released upstream. For example, when kernel version 6.6 is announced as the latest LTS release, an ACK branch for Android15-6.6 appears shortly after, with the "android15" in the name referring to the Android version of the kernel (in this case, Android 15). Google maintains its own set of LTS kernel branches for three main reasons. First, Google can integrate upstream features that have not yet been released into the ACK branch by backporting or picking, so as to meet the specific needs of Android. Second, Google can include some features that are being developed upstream in the ACK branch ahead of time, making it available for Android devices as early as possible. Finally, Google can add some vendor or original equipment manufacturer (OEM) features for other Android partners to use. Once created, Google continues to update the ACK branch to include not only bug fixes for Android specific code, but also to integrate the LTS merge content of the upstream kernel branch. For example, the Linux kernel vulnerability disclosed in the July 2024 Android security bulletin will be fixed through these updates. However, it is not easy to distinguish a bug fix from other bug fixes, as a patch that fixes a bug may also accidentally plug a security vulnerability that the submitter did not know about or chose not to disclose. Google does its best to recognize this, but it inevitably misses the mark, resulting in bug fixes for the upstream Linux kernel being released months before Android devices. As a result, Google has been urging Android vendors to regularly update the LTS kernel to avoid being caught off guard by unexpectedly disclosed security vulnerabilities. Clearly, the LTS version of the Linux kernel is critical to the security of Android devices, helping Google and vendors deal with known and unknown security vulnerabilities. The longer the support period, the more timely security updates Google and vendors can provide to devices.

As a major city in the United States and even the global film industry, Hollywood has gathered a large number of veteran film and television production companies, including Universal Pictures, Warner Bros., Paramount Pictures, Disney Pictures, MGM Pictures, etc. In addition, new streaming forces such as Netflix have also entered in recent years. When the new generation of technology represented by generative AI sweeps the world, the movie "dream factory" is also experiencing a transformative moment. In early May last year, the US film and television industry launched a series of strikes that lasted for five months. Two labor disputes, led by the Writers Guild and the Screen Actors Guild, have caused the worst industry disruption since the 2020 pandemic, forcing many film projects and TV shows to halt or delay production. The strike has been costly, with Kevin Klowden, chief global strategist at the Milken Institute think tank, estimating it has cost the U.S. economy more than $5 billion, affecting not only film and television production companies, but also surrounding service industries such as catering, trucking and dry cleaning. One of the main conflicts between labor and management is that many actors and screenwriters have expressed concerns about "unemployment" due to the "invasion" of artificial intelligence. Luo Chenya has been working in the film and television industry for more than 10 years, including scriptwriter, documentary photographer and assistant director. She told the first financial reporter that after ChatGPT became popular, she also tried to use chatbots to assist script creation. "I can talk to the AI about my ideas and ideas, and it will help analyze and refine my ideas, and even make some suggestions that I think are quite effective." But on the execution level, the idea of writing it down into a very specific scene, character action, it doesn't really help me." Luo Chenya said that AI still needs more training and evolution in script writing, but the ability to present images is amazing. "AI can directly generate images, which can indeed save labor to a great extent, and may even replace photographers in the future." In post-production, AI can beautify images and modify flaws." A place to be fought over Earlier this year, OpenAI released the Vincennes video model Sora on its website, which can create videos up to a minute long, generating complex scenes with multiple characters, specific types of movement, and precise theme and background details. In addition to being able to generate video from text, the model can also generate video from still images, precisely animating the image content. "Vincennes Video can quickly produce high-quality video content, greatly improving production efficiency, and generative AI helps to improve the analysis of user preferences and personalized recommendations, and enhance the attractiveness of content." These technologies will disrupt traditional video production and content distribution models, and media companies need to adapt and change their operating models." Wang Haoyu, CEO of Mairui Asset Management, said in an interview with the first financial reporter. For this reason, Hollywood giants have long made big bets and stepped up their layout.

White House spokeswoman Karina Jean-Pierre denied a report in the U.S. media on the 8th that President Joseph Biden did not receive treatment for Parkinson's disease. Biden had the first televised debate of the 2024 presidential election with Republican opponent Donald Trump on June 27, and his poor performance on the spot triggered discussions about his physical condition. The New York Times reported that a doctor specializing in the treatment of Parkinson's disease had "visited" the White House eight times from August last year to March this year. Facing the media's questions about Biden's health, Jean-Pierre asked and answered himself at a regular White House press conference on the 8th: "Has the president received treatment for Parkinson's disease? No. Is he currently receiving treatment for Parkinson's disease? No, he is not. Is he taking medication for Parkinson's disease? No." Jean-Pierre said Biden had seen a neurologist three times, all related to his annual physical examination. She also took out the report issued by the doctor after Biden's most recent physical examination in February this year. The report said, "An extremely detailed neurological examination was once again reassuring" because no symptoms consistent with stroke, multiple sclerosis or Parkinson's disease were found. The doctor who went to the White House mentioned by the New York Times is Kevin Kanal, a neurology and movement disorder expert at the Walter Reed National Military Medical Center in Maryland and an authority on Parkinson's disease. Jean-Pierre suggested that the doctor might have come to treat military personnel on duty at the White House.

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.