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.

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.”

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.

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

US politicians are advocating for steep tariffs, echoing the protectionist Fordney-McCumber Tariff of 1922. Despite potential international retaliation, risks to global economic rules and a shift from post-World War II principles, US politicians have promised to increase trade barriers against China, causing concerns for the sustainability of global economic harmony. A century ago, the Republican Congress passed the Fordney-McCumber Tariff of 1922. This post-World War-I effort to protect the US from German competition and rescue America's own businesses from falling prices sparked a global wave of tariff hikes. While long forgotten, echoes of Fordney-McCumber now reverberate across the US political landscape. Once again, politicians are grasping the tariff as a magic talisman against its own economic ills and to contain the rise of China. The Democratic Party of the 1920s opposed tariffs, because duties are harmful to consumers and farmers, but today both President Joe Biden and former President Donald Trump favor national delivery through protectionism. Trump promised that his second term, if elected, would impose 60-percent tariffs on everything arriving from China and 10-percent tariffs on imports from the rest of the world, apparently including the imports covered by 14 free trade agreements with America's 20 partners. He initially promised 100-percent tariffs on electric vehicles (EVs), but when Biden declared that he was hiking tariffs on EVs from China to 100-percent, Trump raised the ante to 200-percent. On May 14, 2024, the White House imposed tariffs ranging from 25 percent (on items such as steel, aluminum and lithium batteries) to 50 percent (semiconductors, solar cells, syringes and needles) and 100 percent (electric vehicles) on Chinese imports. US government officials offer "national security" and "supply chain vulnerability" as the justification for levying high tariffs. To deflect worries about inflation, US Trade Representative Katherine Tai declared, "first of all, I think that that link, in terms of tariffs to prices, has been largely debunked." Contrary findings by the United States International Trade Commission and a number of distinguished economists, as well as Biden's own 2019 statement criticizing Trump's tariffs - "Trump doesn't get the basics. He thinks tariffs are being paid by China… [but] the American people are paying his tariffs" - forced Tai's office to wind back her declaration. The fact that prohibitive barriers to imports of solar cells, batteries and EVs will delay the green economy carries zero political weight with Trump and little with Biden. Nor does either of them worry about the prospects of Chinese retaliation and damage to the fabric of global economic rules. Historical lessons - unanticipated consequences of the foolish Fordney-McCumber Tariff of 1922 and the Smoot-Hawley Tariff of 1930 - are seen as irrelevant by the candidates and their advisers. The US' lurch from its post-World War II free trade principles offers China a golden opportunity. On the world stage, China will espouse open free trade and investment. China will encourage EV and battery firms to establish plants in Europe, Brazil, Mexico and elsewhere, essentially daring the US to damage its own alliances by restricting third country imports containing Chinese components. Whether the fabric of global economic rules that has delivered astounding prosperity to the world will survive through the 21st century remains to be seen. Much will depend on the decisions of other large economic powers, not only China but also the European Union and Japan, as well as middle powers, such as Australia, Brazil, Chile, ASEAN and South Korea. Their actions and reactions will reshape the rules of the 21st century. If others follow America down this costly path, the world will become less prosperous and vastly more unpredictable. If they resist, the US risks being diminished and more isolated. The author is a non-resident Senior Fellow at the Peterson Institute of International Economics. bizopinion@globaltimes.com.cn