
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.

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

Portadown businessman avoids jail for sexual assault of teen under his employment
Defence said the defendant 'continues to deny' the charges and bail in the sum of £1,000 was fixed for appeal
A Portadown man has avoided jail after sexually assaulting a 16-year-old shop worker under his employment. -ADVERTISEMENT- Brian Thomas Chapman (58), of Moyallan Road, appeared before Newry Magistrates’ Court on Monday for sentencing on two counts of sexual assault. The prosecution outlined that on September 23, 2020, a 16-year-old student in the employment of Brian Chapman, disclosed to her mother about incidents that had occurred in her workplace. She said Chapman had put his hand on her thigh and the back of her leg. She also disclosed that she had been getting extra money from him and he had been sending her text messages. The allegations were reported to police the next day, September 24. The victim then took part in an interview on October 9, in which she said, when she was alone in Chapman’s office, he placed his hand on her upper thigh and his other hand on her lower back, underneath her trousers. The defendant was arrested and interviewed at Lurgan police station, where he denied the allegations. His phone was seized and an examination was carried out. The first interview of the defendant took place on October 9, during which he admitted to sending a message about wanting the victim to work 24/7, but stated this was a joke. The second interview took place on January 28, 2021, where he admitted to sending the 24/7 message, but denied sending other messages, such as “hope you’re spending the pounds on something special”. Throughout this process, Chapman denied sending the messages and denied any of the sexual assaults alleged by the victim. On the Chapman’s criminal record, the prosecution added that he was convicted of three common assaults on appeal. In terms of commission, these matters pre-dated this case but the conviction occurred during the running of this case and also involved a female working for the defendant. Prosecution continued that the age of the victim was an aggravating feature, arguing there was a “vulnerability” due to the “power-imbalance” between Chapman and the young student working for him. An additional aggravating feature, they said, was that during the course of the defence, part of the defence was that the victim had “manipulated or manufactured” some of the text messages that were sent. A defence lawyer, speaking on the pre-sentence report, noted the author deemed Chapman to be of low risk. He also noted that similar offences were contested in the County Court in respect of another complaint, with the judge substituting indecent assault charges for common assault. He also argued a Sexual Offences Prevention Order (SOPO) was not necessary as the offending was four years ago, there has been no repetition and risk had been addressed. District Judge Eamonn King noted the defendant was convicted on two of four original charges following a contest, which ran over a number of days, with the case adjourned for a pre-sentence report and victim impact statement to be produced. He added the defendant “continues to deny” the charges and seeks to appeal the outcome. District Judge King, on reading the pre-sentence report, noted the defendant “denies ever hugging or touching the individual and he denies any sexual attraction to the victim”, but pointed to a paragraph in the report which stated, “From the available evidence, it’s possible to surmise that he demonstrated risk taking and impulsive behaviour. It appears that he took advantage of his position and power in a bid to meet his sexual needs, given the victim’s young age and the fact that he was her employer”. The report added that this demonstrated “limited victim empathy and responsibility due to his denial of the offences”. On the victim impact statement, District Judge King described her as a young girl getting her first job, with the “world as her oyster”. He continued: “As a result of what she says occurred, that turned on its head. It left her feeling inwardly uncomfortable, anxious and lonely. She cut herself off from her friends. She stopped going out. She didn’t want to go to school.” He also described a “degree of manipulation” in the case, as this was the victim’s first job and there was a power imbalance between her as an employee, and Chapman as the employer. In his sentencing remarks, District Judge King, said: “I’ve taken time to emphasise to the victim in this case that the victim did nothing wrong. The victim did everything right and the victim shouldn’t feel lonely, anxious or isolated. “The victim should feel confident, strong and outgoing.” Owing to the defendant’s ongoing denial of the charges, he added: “My sentencing exercise isn’t the conclusion of the case today, but I will sentence, so that we can move towards the conclusion going forward. “I am satisfied, irrespective of what the pre-sentence report says, that the defendant took advantage of someone, attempted to groom someone and was guilty of the two offences.” On the two counts, Chapman was sentenced to three months in prison, suspended for two years. He was also made subject to a Sexual Offences Prevention Order (SOPO) for five years and placed on the sex offenders’ register for seven years. Following sentencing, District Judge King fixed bail for appeal at £1,000.

The largest password leak in history exposes nearly 10 billion credentials
The largest collection of stolen passwords ever has been leaked to a notorious crime marketplace, according to cybersecurity researchers at Cybernews. This leak, dubbed RockYou2024 by its original poster “ObamaCare,” holds a file containing nearly 10 billion unique plaintext passwords. Allegedly gathered from a series of data breaches and hacks accumulated over several years, the passwords were posted on July 4th and hailed as the most extensive collection of stolen and leaked credentials ever seen on the forum. “In its essence, the RockYou2024 leak is a compilation of real-world passwords used by individuals all over the world,” the researchers told Cybernews. “Revealing that many passwords for threat actors substantially heightens the risk of credential stuffing attacks.” Credential stuffing attacks are among the most common methods criminals, ransomware affiliates, and state-sponsored hackers use to access services and systems. Threat actors could exploit the RockYou2024 password collection to conduct brute-force attacks against any unprotected system and “gain unauthorized access to various online accounts used by individuals whose passwords are included in the dataset,” the research team said. This could affect online services, cameras and hardware This could affect various targets, from online services to internet-facing cameras and industrial hardware. “Moreover, combined with other leaked databases on hacker forums and marketplaces, which, for example, contain user email addresses and other credentials, RockYou2024 can contribute to a cascade of data breaches, financial frauds, and identity thefts,” the team concluded. However, despite the seriousness of the data leak, it is important to note that RockYou2024 is primarily a compilation of previous password leaks, estimated to contain entries from a total of 4,000 massive databases of stolen credentials, covering at least two decades. This new file notably includes an earlier credentials database known as RockYou2021, which featured 8.4 billion passwords. RockYou2024 added approximately 1.5 billion passwords to the collection, spanning from 2021 through 2024, which, though a massive figure, is only a fraction of the reported 9,948,575,739 passwords in the leak. Thus, users who have changed their passwords since 2021 may not have to panic about a potential breach of their information. That said, the research team at Cybernews stressed the importance of maintaining data security. In response to the leak, they recommend immediately changing the passwords for any accounts associated with the leaked credentials, ensuring each password is strong and unique and not reused across different platforms. Additionally, they advised enabling multi-factor authentication (MFA), which requires an extra form of verification beyond the password, wherever possible, to strengthen cyber security. Lastly, tech users should utilize password manager software, which securely generates and stores complex passwords, mitigating the risk of password reuse across multiple accounts.