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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.

Wto: Members have more trade promotion measures than restrictions

The latest trade monitor released recently by the World Trade Organization shows that between mid-October 2023 and mid-May 2024, WTO members continued to introduce more trade promotion measures than trade restrictive measures. The WTO said it was an important signal of members' commitment to keep trade flowing amid the current geopolitical uncertainty. According to WTO statistics, during the monitoring period, WTO members adopted 169 trade promotion measures on commodities, more than the 99 trade restrictive measures introduced. Most of the measures are aimed at imports. Commenting on the findings, WTO Director-General Ngozi Okonjo-Iweala said that despite the challenging geopolitical environment, this latest trade monitoring report highlights the resilience of world trade. Even against the backdrop of rising protectionist pressures and signs of economic fragmentation, governments around the world are taking meaningful steps to liberalize and boost trade. This demonstrates the benefits of trade on people's purchasing power, business competitiveness and price stability. The WTO monitoring also identified significant new developments in economic support measures. Subsidies as part of industrial policy are increasing rapidly, especially in areas related to climate change and national security.

ChatGPT： Explained to Kids（How ChatGPT works）

Chat means chat, and GPT is the acronym for Gene Rate Pre trained Transformer. Genrative means generation, and its function is to create or produce something new; Pre trained refers to a model of artificial intelligence that is learned from a large amount of textual materials, while Transformer refers to a model of artificial intelligence. Don't worry about T, just focus on the words G and P. We mainly use its Generative function to generate various types of content; But we need to know why it can produce various types of content, and the reason lies in P. Only by learning a large amount of content can we proceed with reproduction. And this kind of learning actually has limitations, which is very natural. For example, if you have learned a lot of knowledge since childhood, can you guarantee that your answer to a question is completely correct? Almost impossible, firstly due to the limitations of knowledge, ChatGPT is no exception, as it is impossible to master all knowledge; The second is the accuracy of knowledge, how to ensure that all knowledge is accurate and error free; The third aspect is the complexity of knowledge, where the same concept is manifested differently in different contexts, making it difficult for even humans to grasp it perfectly, let alone AI. So when we use ChatGPT, we also need to monitor the accuracy of the output content of ChatGPT. It is likely not a problem, but if you want to use it on critical issues, you will need to manually review it again. And now ChatGPT has actually been upgraded twice, one is GPT4 with more accurate answering ability, and the other is the recent GPT Turbo. The current ChatGPT is a large model called multimodality, which differs from the first generation in that it can not only receive and output text, but also other types of input, such as images, documents, videos, etc. The output is also more diverse. In addition to text, it can also output images or files, and so on.

Morning Bid: Eyes switch to inflation vs elections, Powell up

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.

Boeing will be fined 3.5 billion yuan for "conspiracy to defraud" in two air crashes. Will the company slide into the abyss?

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.

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