Xinjiang scientists discover plant with potential to survive on Mars
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.
Stanford AI project team apologizes for plagiarizing Chinese model
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
US' ban on high-tech investment cannot stifle China's high-tech development
US President Joe Biden signed an executive order on Wednesday restricting investments in China, intended to further stymie China's advances in three cutting-edge technology areas: semiconductors and microelectronics, quantum information technologies and certain artificial intelligence systems. The "decoupling" of high tech from China began under Donald Trump, and the Biden administration has continued that ambition. However, the new order doesn't target US investments already invested in China, but the new ones. The Biden administration has repeatedly claimed that the US restrictions will be narrowly targeted and will not "have a fundamental impact on affecting the investment climate for China." Biden's new executive order is still subject to consultation with the US business community and the public and is not expected to take effect until next year. The order has been brewed for a long time and has generated a lot of publicity. But almost no one believes that this executive order will deal a new practical blow to Chinese high technology, because almost everyone knows that China needs American technology more than American money. The order has gained much attention because it is seen as part of a broader trend of the US drifting away from China. The promulgation and brewing process of the executive order reflects the strong desire of American political elites to suppress China's high-tech development, as well as a fierce game between those supporting the executive order and the concerns of the technology and economic sectors about a potential backfire on the US. It is a kind of compromise. Washington obviously hopes that major allies will follow Biden's executive order. The UK's Sunak government has made cautious statements, stating that it is consulting business and the financial sector before deciding whether to follow suit. In fact, China also has the ability to influence the extent to which Biden's executive order is implemented, as well as the extent to which the US will go in terms of "decoupling" from China. We are definitely not just passive recipients of US policies. American political elites are eager to "decouple" from China as quickly and deeply as possible, but they fear two things: First, this will immediately damage the performance of relevant high-tech companies in the US, undermine their influence and further innovation. The current Biden administration, in particular, does not want to incur strong resentment from Silicon Valley and Wall Street toward the escalating "decoupling," which will ultimately lead to the loss of support for the Democratic Party. Second, they are afraid of pushing China toward more resolute independent innovation to achieve breakthroughs in key technologies such as chips. If the US "decoupling" policy gives birth to major technological achievements in China, it means that Washington will completely lose the gamble: They originally wants to stifle China's high-tech development, but ends up strangling their own companies. What China needs to do next is to fully unleash our innovation vitality, continuously reduce our dependence on high-tech products from the US, and prove that as long as we are determined to achieve independent innovation, we have the ability to accomplish things. We need to prove that being pressured by the US will only make us stronger. As long as there are several solid proofs of this trend, the US policy community will fall into unprecedented chaos, and their panic will be much more severe than when they saw the rapid expansion of the Chinese economy before Trump started the trade war. Regardless of the future of China-US relations, the current battle will be the key battle that determines the future competition between China and the US. China can only win and cannot afford to lose. High-tech products such as chips are not isolated. The innovation power of China's entire manufacturing industry and the creative vitality of the whole society are the foundation for shaping these key achievements. When pressured by the US, our society needs to generate confidence and resilience from all directions, and we need to accelerate and seize every opportunity, rather than shrink and simply defend. Otherwise, the US will gain the upper hand in momentum, and we will truly be in a passive and defensive position. We must see that the US is on the offensive, but its offensive is becoming weaker and weaker, and it is always hesitant with each step. What is presented to China are difficulties and risks, but also the dawn of victory.
China's Beijing plans to allow self-driving cars to run online ride-hailing services
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.
Ukrainian Presidential Office: Russia's attacks on multiple locations in Ukraine have killed 36 people
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.
Musk is the billionaire who lost the most money in the first half of 2024: $5 billion a month
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).