SEOUL, July 9 (Reuters) - Samsung Electronics (005930.KS), opens new tab said on Tuesday it won an order from Japanese artificial intelligence company Preferred Networks to make chips for AI applications using the South Korean firm's 2-nanometre foundry process and advanced chip packaging service. It is the first order Samsung has revealed for its cutting-edge 2-nanometre chip contract manufacturing process. Samsung did not elaborate on the size of the order. The chips will be made using high-tech chip architecture known as gate all-around (GAA) and multiple chips will be integrated in one package to enhance inter-connection speed and reduce size, Samsung said in a statement. South Korea's Gaonchips Co (399720.KQ), opens new tab designed the chips, Samsung said. The chips will go toward Preferred Networks' high-performance computing hardware for generative AI technologies such as large language models, Junichiro Makino, Preferred Networks vice president and chief technology officer of computing architecture, said in the statement.

A look at the day ahead in U.S. and global markets from Mike Dolan After an intense month focused on election risk around the world, markets quickly switched back to the more prosaic matter of the cost of money - and whether disinflation is resuming to the extent it allows borrowing costs to finally fall. Thursday's U.S. consumer price update for June is the key moment of the week for many investors - with the headline rate expected to have fallen two tenths of a percentage point to 3.1% but with 'core' rates still stuck at 3.4%. With Federal Reserve chair Jerome Powell starting his two-pronged semi-annual congressional testimony later on Tuesday, the consensus CPI forecast probably reflects what the central bank thinks of the situation right now - encouraging but not there yet. But as the U.S. unemployment rate is now back above 4.0% for the first time since late 2021, markets may look for a more nuanced approach from the Fed chair that sees it increasingly wary of a sudden weakening of the labor market as real time quarterly GDP estimates ebb again to about 1.5%. There were some other reasons for Fed optimism in the lead up to the testimony. The path U.S. inflation is expected to follow over coming years generally softened in June, amid retreating projections of price increases for a wide array of consumer goods and services, a New York Fed survey showed on Monday. Inflation a year from now was seen at 3% as of June - down from the expected rise of 3.2% in May - and five-year expectations fell to 2.8% from 3%. Crude oil prices are better behaved this week, too, falling more than 3% from the 10-week highs hit late last week and halving the annual oil price gain to 10%. The losses on Tuesday came after a hurricane that hit a key U.S. oil-producing hub in Texas caused less damage than many in markets had expected - easing concerns over supply disruption. Before Powell starts speaking later, there will also be an update on U.S. small business confidence for last month.

On July 1, former Microsoft CEO and President Steve Ballmer surpassed Microsoft co-founder Bill Gates for the first time on the Bloomberg list of the world's richest people to become the sixth richest person in the world. According to the data, as of the same day, Ballmer's net worth reached $157.2 billion, while Gates's wealth was $156.7 billion, falling to seventh place. The latest figures, as of July 6, show that Ballmer's wealth has grown further to $161 billion, and Gates' wealth is $159 billion. This is the first time Ballmer's net worth has surpassed Gates', and it is also the rare time in history that an employee's net worth has surpassed that of a company founder. Unlike Musk, Jeff Bezos and others, Ballmer's wealth was not accumulated through entrepreneurial success as a business founder, but simply because he chose to hold Microsoft "indefinitely." As Fortune previously reported, Ballmer is the only individual with a net worth of more than $100 billion as an employee rather than a founder.

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

On the afternoon of July 8, local time, the Vietnamese Ministry of Health issued a notice stating that an 18-year-old girl in the country died of diphtheria. The Ministry of Health asked Nghe An Province and Bac Giang Province to take urgent action to control the epidemic. Diphtheria is an acute respiratory infectious disease caused by Corynebacterium diphtheriae, which is mainly transmitted through droplets and can also be indirectly transmitted by contact with objects containing Corynebacterium diphtheriae. Severe cases may show symptoms of poisoning throughout the body, complicated by myocarditis and peripheral nerve paralysis.