Exclusive: Nornickel in talks with China Copper to move smelting plant to China, sources say
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.
Could a $600 billion funding gap crush the AI industry?
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.
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
MOFCOM refutes EU comments on anti-subsidy investigation into Chinese EVs
A spokesperson for the Ministry of Commerce (MOFCOM) on Monday rejected remarks from the EU Ambassador to China on the anti-subsidy investigation into Chinese electric vehicles (EVs). MOFCOM said China had expressed strong opposition through various channels since October 2023 and has always advocated for handling economic and trade frictions through dialogue and consultation in order to maintain the overall strategic partnership between China and Europe. EU Ambassador to China Jorge Toledo claimed on Sunday that the EU has been trying to engage with China for months regarding the imposition of tariffs on Chinese EVs but that China had only recently sought to initiate discussions. This is false, the spokesperson said. MOFCOM said that after the European Commission (EC) officially filed a case, Chinese Commerce Minister Wang Wentao sent a letter to European Commission Executive Vice-President Valdis Dombrovskis on October 24, 2023, expressing hope to resolve the case through dialogue and negotiation. On November 13, 2023, Wang sent another letter to the European side proposing negotiation suggestions. In February 2024, Wang met with Dombrovskis during the WTO's 13th Ministerial Conference face to face and proposed dialogue and negotiation with the European side. On May 19, 2024, Wang reiterated the hope for dialogue and negotiation to resolve the case in a letter to the European side. Additionally, Chinese technical experts have been sending signals to the European side regarding on-site inspections, hearings, and other channels since the case was filed, expressing willingness to resolve trade frictions through dialogue and negotiation. On the day the preliminary ruling was announced on June 12, Dombrovskis replied to Wang in a letter, expressing the desire for both sides to strengthen dialogue to resolve the case. On June 22, Wang held a video conference with Dombrovskis, and they agreed to start negotiations on the EU's anti-subsidy investigation into Chinese EVs. Subsequently, China sent a working group to Europe for negotiations on June 23, and multiple rounds of technical consultations were held simultaneously via video. MOFCOM said that China has shown the utmost sincerity and hopes that the European side will meet China halfway, show sincerity, and push forward the negotiation process to reach a mutually acceptable solution as soon as possible. China has always believed that trade protectionist measures are not conducive to the development of global green industries and automotive industry cooperation. Efforts should be made to adhere to dialogue and cooperation to promote economic green transformation, rather than creating divisions and disrupting global industrial and supply chains, MOFCOM said. China firmly opposes any unilateralism and protectionism that politicizes and weaponizes economic and trade issues, and will take all necessary measures to defend its own interests against any abuse of rules and suppression of China, MOFCOM added.
Will chatGPT lead to job losses?
In fact, ChatGPT can bring more opportunities to many industries, such as customer service, marketing, speech recognition, and more. ChatGPT can help businesses engage with customers more effectively, improve the customer experience, and give businesses more time and resources to focus on other tasks. Come to see While ChatGPT can replace humans in certain situations, it is not a complete replacement for humans. In many cases, human-to-human communication is still the most effective way. Therefore, the emergence of ChatGPT will not lead to the unemployment of all people, but will cause structural changes in the labor force and the redistribution of occupations.
Enhance Your Photos With NASA's Sharpening Technique
Incredible space photos like those from NASA don't look as stunning straight out of the telescope. They need significant processing, and a crucial part of that is sharpening. Coming to you from Unmesh Dinda with PiXimperfect, this fascinating video explores the APF-R plugin, developed by award-winning astrophotographer Christoph Kaltseis. APF-R stands for Absolute Point of Focus, and it's designed to enhance photo details without creating halos or artifacts. This technology has been used by space agencies with telescopes like the James Webb, and now, you can use it in Photoshop. The plugin allows for non-destructive editing, meaning you can adjust the radius and detail level without permanently altering your image. This feature is crucial for astrophotography, where preserving original details is vital. The video shows how APF-R compares to Photoshop's built-in sharpening tools. The plugin offers multiple rendering methods, each suited for different types of images. For instance, the "Center Weighted" method provides a balanced sharpening effect without making the image look overprocessed. Dinda explains how to fine-tune these settings to achieve the best results, making it clear why this plugin is a game-changer for photographers looking to enhance their images with precision. One notable feature of APF-R is its ability to work with different image types. The video demonstrates how the plugin enhances not just space photos but also landscapes and portraits. For portraits, APF-R can bring out skin textures and eye details without creating the unwanted halos that traditional sharpening methods often produce. Dinda also shows how to combine APF-R with other Photoshop tools, like Smart Sharpen, for even better results. This versatility makes APF-R a valuable addition to any photographer's toolkit. The plugin's cost is $50, which Dinda considers a bargain given its advanced capabilities. There's also a Creative Bundle subscription that includes APF-R and 20 other tools, offering great value for those looking to expand their editing options. Dinda provides discount codes in the video description, making this sophisticated tool more accessible. Check out the video above for the full rundown from Dinda.