Beijing self-driving cars on the road will usher in legislative protection. Recently, the Beijing Municipal Bureau of Economy and Information Technology solicited comments on the "Beijing Autonomous Vehicle Regulations (Draft for Comment)". The city intends to support the use of autonomous vehicles for urban public electric bus passenger transport, online car booking, car rental and other urban travel services. In addition to application scenarios, the draft for comments also standardizes autonomous driving innovation from many aspects, such as whether there is a driver, how to deal with traffic problems, and so on. The release of the opinion draft also means that the commercialization of automatic driving is accelerating, and perhaps soon we will be able to experience the convenience of automatic driving. In addition, the accelerated pace of autonomous driving, and whether it will have an impact on the taxi and traditional network car industry, it is also worth thinking about.

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.

In a groundbreaking discovery, researchers from the Xinjiang Institute of Ecology and Geography of the Chinese Academy of Sciences have found a desert moss species, known as Syntrichia caninervis, that has the potential to survive in the extreme conditions on Mars. The Global Times learned from the institute that during the third Xinjiang scientific expedition, the research team focused on studying the desert moss and found that it not only challenges people's understanding of the tolerance of organisms in extreme environments, but also demonstrates the ability to survive and regenerate under simulated Martian conditions. Supported by the Xinjiang scientific expedition project, researchers Li Xiaoshuang, Zhang Daoyuan and Zhang Yuanming from the Xinjiang Institute of Ecology and Geography and Kuang Tingyun, an academician from the Chinese Academy of Sciences, concentrated on studying the "pioneer species" Syntrichia caninervis in an extreme desert environment, according to the institute in an article it sent to the Global Times on Sunday. Through scientific experiments, the researchers systematically proved that the moss can tolerate over 98 percent cell dehydration, survive at temperatures as low as -196 C without dying, withstand over 5000Gy of gamma radiation without perishing, and quickly recover, turn green, and resume growth, showcasing extraordinary resilience. These findings push the boundaries of human knowledge on the tolerance of organisms in extreme environments. Furthermore, the research revealed that under simulated Martian conditions with multiple adversities, Syntrichia caninervis can still survive and regenerate when returned to suitable conditions. This marks the first report of higher plants surviving under simulated Martian conditions. The research team also identified unique characteristics of Syntrichia caninervis. Its overlapping leaves reduce water evaporation, while the white tips of the leaves reflect intense sunlight. Additionally, the innovative "top-down" water absorption mode of the white tips efficiently collects and transports water from the atmosphere. Moreover, the moss can enter a selective metabolic dormancy state in adverse environments and rapidly provide the energy needed for recovery when its surrounding environment improves. Based on the extreme environmental tolerance of Syntrichia caninervis, the research team plans to conduct experiments on spacecraft to monitor the survival response and adaptation capabilities of the species under microgravity and various ionizing radiation adversities. They aim to unravel the physiological and molecular basis of the moss and explore the key life tolerance regulatory mechanisms, laying the foundation for future applications of Syntrichia caninervis in outer space colonization.

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

WhatsApp beta version 2.24.14.20 has a new feature that allows users to share photos with Meta AI. The AI chatbot will analyze uploaded images and provide information or context about the content. Users may be able to request specific edits to their photos directly through Meta AI, though the extent of this feature is still unknown. As the battle for AI dominance heats up, Meta is adding a new trick to its AI chatbot, Meta AI, which is already part of Facebook, Instagram, and WhatsApp. While Meta AI already has impressive text capabilities, such as replying to questions, suggesting captions, and holding conversations, users cannot currently share or upload photos to the Meta AI chat. WaBetaInfo has uncovered the exciting new feature in the WhatsApp beta for Android version 2.24.14.20. This feature will allow Meta AI to interact with photos shared by users, reply to photos, and even edit them. As shown in the attached screenshot, WhatsApp is testing a new camera button in the Meta AI chat, designed to function similarly to the camera button in regular chats. This addition will allow users to manually share photos with Meta AI, a capability that is currently unavailable. With this new functionality, users will be able to ask questions about their photos, presumably allowing users to ask the AI to identify objects or locations or provide context about the photo’s content. Moreover, the screenshot suggests that Meta AI will also offer the option to edit photos, enabling users to make changes to their images directly within the chat by sharing a prompt. The exact scope of this image editing feature remains unclear, leaving us to wonder if it will be limited to simple tweaks or if it will unleash a powerful AI-driven photo editing suite. The possibilities are both exciting and intriguing, and this feature could definitely be a big hit, especially if it performs as promised. While this new image-sharing feature would mean Meta will analyze and face-scan the photos you upload, the screenshot includes a disclaimer indicating that users will have the option to delete their photos whenever they want. As of now, it seems that the feature is still in development, so it might be some time before we finally get to see it roll out publicly. Recently, we also reported about WhatsApp working on an “Imagine Me” feature that would allow Meta AI to generate AI avatars of you based on a set of your photos. WhatsApp in our newsletters WhatsApp is a leading messaging app, keep up to date on the latest, and learn about more Android apps today!