The Ukrainian presidential office said on July 8 local time that Russia's large-scale attacks on many parts of Ukraine have killed 36 people and injured 140 others. According to the Ukrainian State Emergency Service, a total of 619 rescue workers and 132 equipment participated in the rescue work across Ukraine that day. Ukrainian President Zelensky said on social media on the 8th that Russia launched more than 40 missiles of various types at Ukraine that day. Residential buildings and infrastructure in many cities in Ukraine were damaged in varying degrees of attacks, and a children's hospital was destroyed. Rescue departments are currently conducting emergency rescue on the scene. The Russian Ministry of Defense issued a statement on the 8th local time saying that Ukrainian officials' claim that Russia used missiles to attack Ukrainian civilian facilities was untrue. The damage suffered by Kiev was caused by the fall of missiles launched by the city's air defense system.

On Monday, executives from the three major chip giants in the US - Intel, Qualcomm, and Nvidia - met with US officials, including Antony Blinken, to voice their opposition to the Biden administration's plan of imposing further restrictions on chip sales to Chinese companies and investments in China. The Semiconductor Industry Association also released a similar statement, opposing the exclusion of US semiconductor companies from the Chinese market. First of all, we mustn't believe that the appeals of these companies and industry associations will collectively change the determination of US political elites to stifle China's progress. These US elites are very fearful of China's rapid development, and they see "chip chokehold" as a new discovery and a successful tactic formed under US leadership and with the cooperation of allies. Currently, the chip industry is the most complex technology in human history, with only a few companies being at the forefront. They are mainly from the Netherlands, Taiwan island, South Korea, and Japan, most of which are in the Western Pacific. These countries and regions are heavily influenced by the US. Although these companies have their own expertise, they still use some American technologies in their products. Therefore, Washington quickly persuaded them to form an alliance to collectively prevent the Chinese mainland from obtaining chips and manufacturing technology. Washington is proud of this and wants to continuously tighten the noose on China. The New York Times directly titled an article "'An Act of War': Inside America's Silicon Blockade Against China, " in which an American AI expert, Gregory Allen, publicly claimed that this is an act of war against China. He further stated that there are two dates that will echo in history from 2022: The first is February 24, when the Russia-Ukraine conflict broke out, and the second is October 7, when the US imposed a sweeping set of export controls on selling microchips to China. China must abandon its illusions and launch a challenging and effective counterattack. We already have the capability to produce 28nm chips, and we can use "small chip" technology to assemble small semiconductors into a more powerful "brain," exploring 14nm or even 7nm. Additionally, China is the world's largest commercial market for commodity semiconductors. Last year, semiconductor procurement in China amounted to $180 billion, surpassing one-third of the global total. In the past, China had been faced with the choice between independent innovation and external purchases. Due to the high returns from external purchases, it is easy for it to become the overwhelming choice over independent research and development. However, now the US is gradually blocking the option of external purchases, and China has no strategic choice but to independently innovate, which in turn puts tremendous pressure on American companies. Scientists generally expect that, although China may take some detours, such as recently apprehending several company leaders who fraudulently obtained subsidies from national semiconductor policies, China has the ability to gradually overcome the chip difficulties. And we will form our own breakthroughs and industrial chain, which is expected to put quite a lot of pressure on US companies. If domestic firms acquire half of China's $180 billion per year in chip acquisitions, this would provide a significant boost for the industry as a whole and help it advance steadily. The New York Times refers to the battle on chips as a bet by Washington. "If the controls are successful, they could handicap China for a generation; if they fail, they may backfire spectacularly, hastening the very future the United States is trying desperately to avoid," it argued. Whether it is a war or a game, when the future is uncertain, what US companies hope for most of all is that they can sell simplified versions of high-end chips to China, so that the option of external purchases by China continues to exist and remains attractive. This can not only maintain the interests of the US companies, enabling them to obtain sufficient funds to develop more advanced technologies, but also disrupt China's plans for independent innovation. This idea is entirely based on their own commercial interests and also has a certain political and national strategic appeal. Hence, there is no shortage of supporters within the US government. US Secretary of the Treasury Janet Yellen seems to be one of them, as she has repeatedly stated that the US' restrictions on China will not "fundamentally" hurt China, but will only be "narrowly targeted." The US will balance its strict suppression on China from the perspective of maintaining its technological hegemony, while also leaving some room for China, in order to undermine China's determination to counterattack in terms of independent innovation. China needs to use this mentality of the US to its advantage. On the one hand, China should continue to purchase US chips to maintain its economic fundamentals, and on the other hand, it should firmly support the development of domestic semiconductor companies from both financial and market perspectives. If China were to continue relying on exploiting the gaps in US chip policies in the long term, akin to a dependency on opium, it would only serve to weaken China further as it becomes increasingly addicted. China's market is extremely vast, and its innovation capabilities are generally improving and expanding. Although the chip industry is highly advanced, if there is one country that can win this counterattack, it is China. As long as we resolutely continue on the path of independent innovation, this road will definitely become wider. Various breakthroughs and turning points that are unimaginable today may soon occur.

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

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.

On July 1, former Microsoft CEO and President Steve Ballmer surpassed Microsoft co-founder Bill Gates for the first time on the Bloomberg list of the world's richest people to become the sixth richest person in the world. According to the data, as of the same day, Ballmer's net worth reached $157.2 billion, while Gates's wealth was $156.7 billion, falling to seventh place. The latest figures, as of July 6, show that Ballmer's wealth has grown further to $161 billion, and Gates' wealth is $159 billion. This is the first time Ballmer's net worth has surpassed Gates', and it is also the rare time in history that an employee's net worth has surpassed that of a company founder. Unlike Musk, Jeff Bezos and others, Ballmer's wealth was not accumulated through entrepreneurial success as a business founder, but simply because he chose to hold Microsoft "indefinitely." As Fortune previously reported, Ballmer is the only individual with a net worth of more than $100 billion as an employee rather than a founder.