On the evening of July 8, local time, the Israel Defense Forces issued a statement saying that Major General Avi Bluth replaced Yehuda Fox as the commander of the Israeli Central Command. Earlier that day, the Israeli army held a handover ceremony, which was presided over by the Israeli Chief of Staff Halevy. Avi Bluth joined the Israel Defense Forces in 1993 and commanded the Israeli military operations in the West Bank. In May this year, Bruce was promoted to major general and served as a military commander in the Israeli Central Command. CCTV reporters learned that in late April this year, Yehuda Fox, then commander of the Israeli Central Command, requested to resign and retire from the army in August this year. Fox had previously stated that he should bear part of the responsibility for the military intelligence failure on October 7 last year, and "must end his term like everyone else." According to the official website of the Israeli Defense Forces, the Central Command is one of the four major commands of the Israeli army, headquartered in Jerusalem, and its responsibility covers nearly one-third of Israel's territory.

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

July 9 (Reuters) - The National Highway Traffic Safety Administration (NHTSA) has opened a recall query into 94,275 Stellantis-owned (STLAM.MI), opens new tab Jeep SUVs over a loss of motive power, the U.S. auto safety regulator said on Tuesday. The investigation targets Jeep's Wrangler 4xe hybrid SUVs manufactured between 2021 through 2024. Chrysler had previously recalled, opens new tab the same model in 2022 to address concerns related to an engine shutdown. A recall query is an investigation opened by safety regulators when a remedy to solve an issue appears inadequate. The complaints noted in the new report include both failures in vehicles that received the recall remedy and those not covered by the prior recall, the NHTSA said.

From the perspective of the two major markets of the United States and China, the autonomous driving industry has fallen into a low tide in recent years. For example, last year, Cruise Origin, one of the twin stars of Silicon Valley autonomous driving companies and once valued at more than $30 billion, failed completely, its Robotaxi (driverless taxi) operation qualification was revoked, and autonomous driving models have been discontinued. However, as a new track with the deep integration of digital economy and real economy, automatic driving is a must answer: on the one hand, automatic driving will accelerate the process of technology commercialization and industrialization, and become an important part of the game of major powers; On the other hand, autonomous driving will also promote industrial transformation and upgrading by improving the mass travel service experience, seeking new engines for urban development, and injecting new vitality into the urban economy.