WASHINGTON, June 24 (Reuters) - Problems with Boeing's Starliner capsule, still docked at the International Space Station (ISS), have upended the original plans for its return of its two astronauts to Earth, as last-minute fixes and tests draw out a mission crucial to the future of Boeing's (BA.N), opens new tab space division. NASA has rescheduled the planned return three times, and now has no date set for it. Since its June 5 liftoff, the capsule has had five helium leaks, five maneuvering thrusters go dead and a propellant valve fail to close completely, prompting the crew in space and mission managers in Houston to spend more time than expected pursuing fixes mid-mission. Here is an explanation of potential paths forward for Starliner and its veteran NASA astronauts, Barry "Butch" Wilmore and Sunita "Suni" Williams. THE CURRENT SITUATION Starliner can stay docked at the ISS for up to 45 days, according to comments by NASA's commercial crew manager Steve Stich to reporters. But if absolutely necessary, such as if more problems arise that mission officials cannot fix in time, it could stay docked for up to 72 days, relying on various backup systems, according to a person familiar with flight planning. Internally at NASA, Starliner's latest targeted return date is July 6, according to this source, who spoke on condition of anonymity. Such a return date would mean that the mission, originally planned for eight days, instead would last a month. Starliner's expendable propulsion system is part of the craft's "service module." The current problems center on this system, which is needed to back the capsule away from the ISS and position it to dive through Earth's atmosphere. Many of Starliner's thrusters have overheated when fired, and the leaks of helium - used to pressurize the thrusters - appear to be connected to how frequently they are used, according to Stich.

The June US Nonfarm Payrolls (NFP) data showed an increase of 206,000 jobs, exceeding expectations. Political uncertainty and the People's Bank of China's pause in gold purchases influence gold market dynamics. Recent technical developments in the gold market, including breaking the triangle formation and subsequent rally, indicate the potential for higher prices. Despite a bullish outlook, further consolidation is possible before a significant surge. The recent US Nonfarm Payrolls (NFP) data revealed a rise of 206,000 jobs in June, surpassing the market expectation of 190,000, despite a downward revision from 272,000 to 218,000 for May. The unemployment rate increased to 4.1% and the wage inflation declined to 3.9% year-over-year. These mixed employment signals have increased the likelihood of a rate cut by the Federal Reserve in September. Additionally, political developments in France, where the left-wing New Popular Front led by Jean-Luc Mélenchon is poised to win a significant number of seats, add to the global economic uncertainty. Meanwhile, the People's Bank of China (PBoC) has paused its gold purchasing program, potentially waiting for a further price pullback. These factors collectively influence gold prices, providing a complex backdrop where the prospect of lower interest rates, political uncertainty, and central bank purchasing strategies are likely to drive market dynamics and investor behaviour in the coming months. Bullish Trends in Gold Prices The announcement of the NFP data has dropped the US Dollar Index and boosted gold prices. Since the gold market broke the triangle formation on Wednesday and formed an inside candle on Thursday, the break above Thursday's high on Friday initiated a strong rally, closing the price at higher levels. The red line was the first resistance of this breakout where the gold closed the last week. A clear break above this level may initiate another surge higher. The breakout of the triangle suggests higher prices, but the risk environment remains, as June was a correction month. It looks like the price is preparing for higher levels, but the possibility of consolidation before the surge cannot be ignored. Bottom line In conclusion, the increase in US employment, despite mixed signals in wage inflation and unemployment, has increased the likelihood of a Federal Reserve rate cut, boosting gold prices while weakening the US Dollar Index. Political uncertainties in France and the pause in gold purchases by the People's Bank of China further contribute to the complex economic landscape, indicating potential volatility ahead. The gold market's recent technical developments, including breaking the triangle formation and the subsequent rally, suggest readiness for higher prices. However, the possibility of consolidation before another significant surge remains, necessitating careful observation by investors as the market navigates these multifaceted influences.

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

Chat means chat, and GPT is the acronym for Gene Rate Pre trained Transformer. Genrative means generation, and its function is to create or produce something new; Pre trained refers to a model of artificial intelligence that is learned from a large amount of textual materials, while Transformer refers to a model of artificial intelligence. Don't worry about T, just focus on the words G and P. We mainly use its Generative function to generate various types of content; But we need to know why it can produce various types of content, and the reason lies in P. Only by learning a large amount of content can we proceed with reproduction. And this kind of learning actually has limitations, which is very natural. For example, if you have learned a lot of knowledge since childhood, can you guarantee that your answer to a question is completely correct? Almost impossible, firstly due to the limitations of knowledge, ChatGPT is no exception, as it is impossible to master all knowledge; The second is the accuracy of knowledge, how to ensure that all knowledge is accurate and error free; The third aspect is the complexity of knowledge, where the same concept is manifested differently in different contexts, making it difficult for even humans to grasp it perfectly, let alone AI. So when we use ChatGPT, we also need to monitor the accuracy of the output content of ChatGPT. It is likely not a problem, but if you want to use it on critical issues, you will need to manually review it again. And now ChatGPT has actually been upgraded twice, one is GPT4 with more accurate answering ability, and the other is the recent GPT Turbo. The current ChatGPT is a large model called multimodality, which differs from the first generation in that it can not only receive and output text, but also other types of input, such as images, documents, videos, etc. The output is also more diverse. In addition to text, it can also output images or files, and so on.

Byd has grown rapidly in China over the past few years, becoming the country's best-selling car brand and the world's biggest selling electric car brand. Byd opened its first electric car factory in Southeast Asia on Thursday in Thailand. Byd also took over a former Ford Motor Co. plant in Brazil and has been looking for a site for a Mexican plant. Europe's first automotive plant is under construction in Hungary. Byd's second-quarter sales jumped to a record 982,747 vehicles, up more than 40 per cent from a year earlier. Although the company's sales in Europe have been sluggish so far, it is making a big marketing push in the region to replace Volkswagen as the main automotive sponsor of the European Championship. According to a recent Fortune report, officials said that Turkish President Recep Tayyip Erdogan is expected to announce the agreement for BYD to build the plant at a signing ceremony on Monday in Manisa province, where the plant will be built. The officials spoke on condition of anonymity because they were not authorized to speak publicly. Byd representatives declined to comment. Turkish Industry and Technology Minister Mohamed Fatih Kassir said in May that he was in advanced discussions with BYD and Chery on investment in Turkey. The new plant will improve BYD's access to the European Union, as Turkey has a customs union agreement with the EU. The European Union this week announced temporary punitive tariffs on electric vehicles imported from China, with BYD imposing an additional 17.4 percent tariff on top of the existing 10 percent tariff. Other Chinese carmakers have been hit with higher tariffs. Investing in Turkey would strengthen the presence of Chinese carmakers in Europe at a time of escalating trade tensions.