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.

n a recent interview with ABC, US President Joe Biden said he had no intention of dropping out of the race, blaming his poor debate performance on a cold. He also insisted he was "still in good shape" and would remain in the race, saying only "Almighty God" could pull him out. An insider who has worked with Mr. Biden for a long time said that signs of aging had become apparent over the past year, but that Mr. Biden's team had failed to address it. Biden's televised debate performance heightened concerns about an already slow-moving issue. Mr. Biden's advisers have long dodged questions about his age. But now they acknowledge that Biden's aging is an undeniable fact. The debate forced the president to more openly acknowledge the limitations of his age, which he had previously largely dismissed. But they have only taken superficial measures and have not fundamentally solved the problem. They replaced the long staircase that Mr. Biden used to board Air Force One with a shorter one; Assistants often accompanied him in public to make his stiff gait less noticeable; While he has a busy schedule, aides have arranged for buffer time, such as long weekends at his homes in Wilmington and Rehoboth Beach, Delaware, or extended stays at Camp David, a Maryland resort, to rest after a "grueling" stretch of travel. Under the authority of one of his top advisers, Anita Dunn, Mr. Biden's public interactions -- especially with reporters -- were severely limited. Even at major events with Democrats or other supporters, the White House sometimes limits the amount of time Biden can spend with the audience, two people familiar with the matter said. As a protective response, designed to protect their longtime boss.

China is mulling over establishing a Brain-Computer Interface (BCI) standardization technical committee under its Ministry of Industry and Information Technology (MIIT), aiming to guide enterprises to enhance industrial standards and boost domestic innovation. The proposed committee, revealed by the MIIT on Monday, will work on composing a BCI standards roadmap for the entire industry development as well as the standards for the research and development of the key technologies involved, according to the MIIT. China has taken strides in developing the BCI industry over the years, not only providing abundant policy support but also generous financial investment, Li Wenyu, secretary of the Brain-Computer Interface Industrial Alliance, told the Global Times. From last year to 2024, both the central and local governments have successively issued relevant policies to support industrial development. The MIIT in 2023 rolled out a plan selecting and promoting a group of units with strong innovation capabilities to break through landmark technological products and accelerate the application of new technologies and products. The Beijing local government also released an action plan to accelerate the industry in the capital (2024-2030) this year. In 2023, there were no fewer than 20 publicly disclosed financing events for BCI companies in China, with a total disclosed amount exceeding 150 million yuan ($20.6 million), Li said. “The strong support from the government has injected momentum into industrial innovation.” The fact that China's BCI industry started later than Western countries such as the US is a reality, leading to the gap in China regarding technological breakthroughs, industrial synergy, and talent development, according to Li. To further close gaps and solve bottlenecks in BCI industrial development, Li suggested that the industry explore various technological approaches to suit different application scenarios and encourage more medical facilities powered by BCI to initiate clinical trials by optimizing the development of BCI-related ethics. Additionally, he highlighted that standard development is one of the aspects to enhance the overall level and competitiveness of the industry chain, which could, in turn, empower domestic BCI innovation. While China's BCI technology generally lags behind leading countries like the US in terms of system integration and clinical application, this has not hindered the release of Neucyber, which stands as China's first "high-performance invasive BCI." Neucyber, an invasive implanted BCI technology, was independently developed by Chinese scientists from the Chinese Institute for Brain Research in Beijing. Li Yuan, Business Development Director of Beijing Xinzhida Neurotechnology, the company that co-developed this BCI system, told the Global Times that the breakthrough of Neucyber could not have been achieved without the efforts of the institute gathering superior resources from various teams in Beijing. A group of mature talents were gathered within the institute, from specific fields involving electrodes, chips, algorithms, software, and materials, Li Yuan said. Shrugging off the outside world's focus on China’s competition with the US in this regard, Li Yuan said her team doesn’t want to be imaginative and talk too much, but strives to produce a set of products step by step that can be useful in actual applications. In addition, Li Wenyu also attributed the emergence of Neucyber to the independent research atmosphere and the well-established talent nurturing mechanism in the Chinese Institute for Brain Research. He said that to advance China’s BCI industry, it is necessary not only to cultivate domestic talents but also to introduce foreign talents to enhance China's research and innovation capabilities. The proposed plan for establishing the BCI standardization technical committee under the MIIT will solicit public opinions until July 30, 2024.

A look at the day ahead in U.S. and global markets from Mike Dolan After an intense month focused on election risk around the world, markets quickly switched back to the more prosaic matter of the cost of money - and whether disinflation is resuming to the extent it allows borrowing costs to finally fall. Thursday's U.S. consumer price update for June is the key moment of the week for many investors - with the headline rate expected to have fallen two tenths of a percentage point to 3.1% but with 'core' rates still stuck at 3.4%. With Federal Reserve chair Jerome Powell starting his two-pronged semi-annual congressional testimony later on Tuesday, the consensus CPI forecast probably reflects what the central bank thinks of the situation right now - encouraging but not there yet. But as the U.S. unemployment rate is now back above 4.0% for the first time since late 2021, markets may look for a more nuanced approach from the Fed chair that sees it increasingly wary of a sudden weakening of the labor market as real time quarterly GDP estimates ebb again to about 1.5%. There were some other reasons for Fed optimism in the lead up to the testimony. The path U.S. inflation is expected to follow over coming years generally softened in June, amid retreating projections of price increases for a wide array of consumer goods and services, a New York Fed survey showed on Monday. Inflation a year from now was seen at 3% as of June - down from the expected rise of 3.2% in May - and five-year expectations fell to 2.8% from 3%. Crude oil prices are better behaved this week, too, falling more than 3% from the 10-week highs hit late last week and halving the annual oil price gain to 10%. The losses on Tuesday came after a hurricane that hit a key U.S. oil-producing hub in Texas caused less damage than many in markets had expected - easing concerns over supply disruption. Before Powell starts speaking later, there will also be an update on U.S. small business confidence for last month.

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