NEW DELHI, July 9 (Reuters) - India's beleaguered Paytm (PAYT.NS), opens new tab has secured approval from a government panel that oversees investments linked to China to invest 500 million rupees ($6 million) in a key subsidiary, three sources with direct knowledge of the matter said. The approval, which still has to be vetted by the finance ministry, will remove the main stumbling block to the unit, Paytm Payment Services, resuming normal business operations. Paytm Payment Services is one of the biggest remaining parts of the fintech firm's business, accounting for a quarter of consolidated revenue in the financial year ended March 2023. A separate unit, Paytm Payments Bank, was wound down this year by order of the central bank due to persistent compliance issues, triggering a meltdown in Paytm's stock. The government panel had earlier held back approval due to concerns about the 9.88% stake in Paytm held by China's Ant Group. India has intensified scrutiny of Chinese businesses since a 2020 border clash between the two countries. All in all, Paytm has been waiting for the nod from the government panel for about two years and without it, it would have had to also wind down its payment services business, which was forbidden from taking on new customers in March 2023. Once the approval has been formalised, it will be able to seek a so-called "payment aggregator" licence from the Reserve Bank of India. The sources, two of whom are government sources, declined to be identified as the decision has not been formally announced. India's foreign, home, finance and industries ministries, whose representatives sit on the panel, did not reply to emails seeking comment. A Paytm spokesperson said the company does not comment on market speculation. "We will continue to make disclosures in compliance with our obligations under the SEBI Regulations, and will inform the exchanges when there is any new material information to share," the spokesperson said.

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.

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

The World Intellectual Property Organization (WIPO) recently said that China filed 38,000 artificial intelligtion-related generative AI patents from 2014-23, while the United States filed 6,276 of the 50,000 patents filed by all countries. Of the 50,000 applications, 25 percent were filed last year.The top five inventor regions are: China (38,210 inventions), the United States (6,276 inventions), the Republic of Korea (4,155 inventions), Japan (3,409 inventions) and India (1,350 inventions).

Russia is seeing income growth of around 4-5%, with earnings growing in double digits, Ostapkovich said, stressing that the driving force is economic growth. "Incomes only grow when the economy grows. If the economy grows, then profits grow. If profits grow, then the entrepreneur is keen on hiring people and raising wages," he added. Russia’s economy grew by 3.6% in 2023, with real incomes and nominal wages up by 4.5% and 13% respectively. Industrial performance, particularly in manufacturing, is propelling this growth not seen in 20 to 30 years. Notably, mechanical engineering in the military industry is expanding at 25-30%, according to Ostapkovich. Andrey Kolganov, Doctor of Economics and Head of the Laboratory of Socio-Economic Systems at Moscow State University, acknowledged that despite the challenges posed by the growth stimuli, Western sanctions failed to inflict significant harm on the Russian economy. "The Russian economy has shown great potential in adapting to these difficulties. Moreover, these difficulties stimulated the development of domestic production, which in turn led to high rates of economic growth," he added. Kolganov noted that economic growth rates were higher in 2023, compared to 2022 - and even higher in 2024. These increases promoted Russia from the classification of middle-income countries, to the rank of high-income countries. Although Russia has not caught up with the richest countries, the achievement is nonetheless remarkable, especially in the face of unprecedented sanctions. Gross national income per capita in Russia is now $14,250, according to a document released by the World Bank that classifies countries that cross the $13,485 threshold as “high income.”