HONG KONG, July 9 (Reuters) - Nornickel (GMKN.MM), opens new tab is in talks with China Copper to form a joint venture that would allow the Russian mining giant to move its entire copper smelting base to China, four sources with knowledge of the matter told Reuters. If the move goes ahead, it would mark Russia's first uprooting of a domestic plant since the U.S. and Britain banned metal exchanges from accepting new aluminium, copper and nickel produced by Russia. It also means Nornickel's copper will be produced within the country where it is most consumed. Nornickel said in April it planned to close its Arctic facility and build a new plant in China with an unnamed partner. Executives at China Copper, owned by the world's largest aluminium producer Chinalco (601600.SS), opens new tab, flew to Moscow in June to discuss a possible joint venture, one of the sources said, adding that details of the structure and investment are still under discussion. Nornickel declined to comment. Chinalco and China Copper did not respond to requests for comment via email and phone. Sites being considered in China include Fangchenggang and Qinzhou in the Guangxi region, the two sources said, with another source saying Qingdao in Shandong province was also possible. A decision on a joint venture will be made over the next few months, a fifth source said, adding that Nornickel's Chinese output is likely to be consumed domestically. The new facility will have capacity to produce 450,000 tonnes of copper annually, two of the sources said, amounting to around 2% of global mined supplies estimated at around 22 million metric tons this year. Nornickel, which according to its annual report produced 425,400 tonnes of refined copper last year, processed all of its concentrates in 2023 at the Arctic plant, its only operation producing finished copper suitable for delivery to exchanges.

On July 5, Microsoft co-founder Bill Gates appeared on the Next Big Idea podcast to discuss his vision for Superhuman artificial intelligence and technological progress. At the same time, it said that the enthusiasm of the AI market is far more than the Internet bubble. Gates believes that the current threshold for entry in the AI field is very low, and the entire market is in a fever period, AI startups can easily get hundreds of millions of dollars in financing, and even have raised $6 billion (about 43.734 billion yuan) in cash for a company. "Never before has so much capital poured into a new area, and the entire AI market has fallen into a 'frenzy' in terms of market capitalization and valuation, which dwarfs the frenzy of the Internet and automotive periods in history." Gates said. At this stage, the rapid development of the artificial intelligence industry is a veritable gold industry, and Nvidia's market value is therefore soaring, and the total market value reached 3.34 trillion US dollars on June 18 local time, surpassing Microsoft and Apple in one fell fell, becoming the world's most valuable listed enterprise. But in fact, doubts about the field of artificial intelligence have also risen one after another and have never stopped.

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

Taking the initiative to plead guilty to Boeing is not small, but it can avoid being exposed to more problems when it is publicly tried, which is a "minor penalty" for Boeing. So now the families of the crash victims are very opposed to the move, demanding that the trial continue to be open. But after all, Boeing is America's oldest industrial son, whether it is Trump or Biden, and finally have to gently put down, give a chance. The Justice Department had been seeking a guilty plea from Boeing as early as May, when it launched the investigation. After all, if you plead guilty, you only need to pay a fine, and if you really go to court, you don't know how many quality problems Boeing will be exposed by your witnesses. Boeing also knew it had too many flaws, and paying a $243.6 million fine and bringing in a third party to monitor its compliance for three years, totaling more than $400 million in additional expenses, is small change for Boeing. Given Boeing's style in the past few years, this fine may not even force Boeing to tighten production line management. Just this kind of "reconciliation" that completely excludes the victims of the crash can not get the families to agree. Paul Cassell, an attorney for the victims' families, said he plans to ask the federal judge overseeing the case to reject the agreement and "hold this case to an open trial so that all the facts of this case can be presented in a fair and public manner before a jury." The demand is reasonable, but the US judge will most likely side with Boeing.

The UAE insurance sector continued to grow in Q4-2023, as reflected by increase in the gross written premiums. As of year-end, the number of licensed insurance companies in the UAE remained at 60, according to the Central Bank of the UAE's (CBUAE) Quarterly Economic Review (Q4-2023). The insurance sector comprised 23 traditional national companies, 10 Takaful national and 27 foreign companies, while the number of insurance related professions remained at 491. The review on insurance sector structure and activity showed that the gross written premium increased by 12.7% Y-o-Y in Q4 2023 to AED 53.2 billion, mostly due to an increase in health insurance premiums by 16.5% Y-o-Y and an increase in property and liability insurance premiums by 18.9% Y-o-Y, while the insurance of persons and fund accumulation premiums decreased by 12.4% Y-o-Y, resulting primarily from decrease in individual life premiums. Gross paid claims of all types of insurance plans increased by 12.8% Y-o-Y to AED 31.1 billion at the end of 2023. This was mainly driven by the increase in claims paid in health insurance by 16.9% Y-o-Y and increase in paid claims in property and liability insurance by 10.9% Y-o-Y, partially offset by the decline in claims paid in insurance of persons and fund accumulation by 2.8% Y-o-Y. The total technical provisions of all types of insurance increased by 8.4% Y-o-Y to AED 74.4 billion in Q4 2023 compared to AED68.6 billion in Q4 2022. The volume of invested assets in the insurance sector amounted to AED 76 billion (60.4% of total assets) in Q4 2023 compared to AED 71.4 billion (59.4% of total assets) in Q4 2022. The retention ratio of written insurance premiums for all types of insurance was 52.9 % (AED 28.1 billion) in Q4 2023, compared to 54.9% (AED 25.9 billion) at the end of 2022. The UAE insurance sector remained well capitalized in terms of early warning ratios and risk assessment. Own funds to minimum capital requirement ratio increased to 335.7% in Q4 2023, compared to 309.3% at the end of 2022, due to an increase in own funds eligible to meet the minimum capital requirements. Also, own funds to solvency capital requirement ratio rose to 221% in Q4 2023 compared to 208.5% in Q4 2022, due to an increase in own funds eligible to meet solvency capital requirements. Finally, own funds to minimum guarantee fund ratio reached to 316.3% at the end of 2023 down from 314.6% a year earlier, due to higher eligible funds to meet minimum guarantee funds. In terms of profitability, the net total profit to net written premiums increased to 6.5% in Q4 2023, compared to 2.9% at the end of 2022. The return on average assets increased to 0.3% in Q4 2023 compared to the 0.1% at the of the previous year.