At the beginning of this year, Elon Musk had a fortune of $251 billion and could almost single-handedly solve world hunger. However, Tesla's stagnant sales, the endless struggle to buy Twitter, and the volatility of Tesla's stock price meant he lost a lot of money this year. According to Forbes, Musk is the billionaire with the most losses so far this year, with his wealth shrinking at a rate of about $5 billion a month. According to the website, his wealth shrank by more than 10% from the end of 2023 to June 28, 2024. As the website explains: Between December 31, 2023, and June 28, the last day of regular stock market trading for the first half of the year, Musk's net worth fell from $251.3 billion to $221.4 billion, a bigger drop than any other billionaire tracked by Forbes, but Musk remains the richest person on the planet. The main reason for the dip in Musk's pocketbook is that a Delaware judge in January canceled Musk's then-record Tesla compensation package worth $51 billion, which led Forbes to cut the value of the equity award by 50 percent because of uncertainty about whether Musk would receive those stock options. Excluding that bonus, Musk's wealth has remained volatile over the past six months, with the value of his 13 percent stake in Tesla shrinking by about $20 billion as falling profits and car deliveries sent the stock down 20 percent. But that was partly offset by the growth of Musk's stake in his generative artificial intelligence startup xAI to $14.4 billion (Musk also has a roughly $75 billion stake in private aerospace company SpaceX, a $7 billion stake in social media company X, And smaller stakes in other companies, such as brain experimentation startup Neuralink).

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.

South Korea's Minister of Health and Welfare Cho Kyu-hong said at a press conference on the 8th local time that after comprehensively considering the suggestions of frontline interns and the situation on the front line of medical care, the government decided that from that day on, all interns and residents who resigned would not be given administrative sanctions such as revoking their medical licenses. Cho Kyu-hong also said that for interns and residents who have returned to work and those who have resigned and are preparing to re-register for internship courses in September, the government will make special cases to try to minimize the internship gap and not affect the relevant doctors from obtaining specialist medical licenses. Cho Kyu-hong said that the government believes that in order to minimize the diagnosis and treatment gaps for critically ill and emergency patients and ensure the smooth training process of interns and residents, it is in the public interest, so it has made a decision not to punish interns and residents who resigned. It is hoped that major hospitals will complete the resignation processing of doctors who have not returned to work before July 15 and determine the scale of vacancies. Previously, large general hospitals in South Korea, such as Seoul National University Hospital, Yonsei University Severance Hospital, and Seoul Asan Medical Center, suspended or limited their medical services in an effort to cancel all penalties against interns and residents.

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

The World Intellectual Property Organization (WIPO) recently said that China filed 38,000 artificial intelligtion-related generative AI patents from 2014-23, while the United States filed 6,276 of the 50,000 patents filed by all countries. Of the 50,000 applications, 25 percent were filed last year.The top five inventor regions are: China (38,210 inventions), the United States (6,276 inventions), the Republic of Korea (4,155 inventions), Japan (3,409 inventions) and India (1,350 inventions).