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US politicians' lurch to levying high tariffs to damage global economic sustainability

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

Hollywood's strongest supporting actor has been launched, AI is not far from subverting "Dreamworks"?

As a major city in the United States and even the global film industry, Hollywood has gathered a large number of veteran film and television production companies, including Universal Pictures, Warner Bros., Paramount Pictures, Disney Pictures, MGM Pictures, etc. In addition, new streaming forces such as Netflix have also entered in recent years. When the new generation of technology represented by generative AI sweeps the world, the movie "dream factory" is also experiencing a transformative moment. In early May last year, the US film and television industry launched a series of strikes that lasted for five months. Two labor disputes, led by the Writers Guild and the Screen Actors Guild, have caused the worst industry disruption since the 2020 pandemic, forcing many film projects and TV shows to halt or delay production. The strike has been costly, with Kevin Klowden, chief global strategist at the Milken Institute think tank, estimating it has cost the U.S. economy more than $5 billion, affecting not only film and television production companies, but also surrounding service industries such as catering, trucking and dry cleaning. One of the main conflicts between labor and management is that many actors and screenwriters have expressed concerns about "unemployment" due to the "invasion" of artificial intelligence. Luo Chenya has been working in the film and television industry for more than 10 years, including scriptwriter, documentary photographer and assistant director. She told the first financial reporter that after ChatGPT became popular, she also tried to use chatbots to assist script creation. "I can talk to the AI about my ideas and ideas, and it will help analyze and refine my ideas, and even make some suggestions that I think are quite effective." But on the execution level, the idea of writing it down into a very specific scene, character action, it doesn't really help me." Luo Chenya said that AI still needs more training and evolution in script writing, but the ability to present images is amazing. "AI can directly generate images, which can indeed save labor to a great extent, and may even replace photographers in the future." In post-production, AI can beautify images and modify flaws." A place to be fought over Earlier this year, OpenAI released the Vincennes video model Sora on its website, which can create videos up to a minute long, generating complex scenes with multiple characters, specific types of movement, and precise theme and background details. In addition to being able to generate video from text, the model can also generate video from still images, precisely animating the image content. "Vincennes Video can quickly produce high-quality video content, greatly improving production efficiency, and generative AI helps to improve the analysis of user preferences and personalized recommendations, and enhance the attractiveness of content." These technologies will disrupt traditional video production and content distribution models, and media companies need to adapt and change their operating models." Wang Haoyu, CEO of Mairui Asset Management, said in an interview with the first financial reporter. For this reason, Hollywood giants have long made big bets and stepped up their layout.

China proposes to establish BCI committee to strive for domestic innovation

China is mulling over establishing a Brain-Computer Interface (BCI) standardization technical committee under its Ministry of Industry and Information Technology (MIIT), aiming to guide enterprises to enhance industrial standards and boost domestic innovation. The proposed committee, revealed by the MIIT on Monday, will work on composing a BCI standards roadmap for the entire industry development as well as the standards for the research and development of the key technologies involved, according to the MIIT. China has taken strides in developing the BCI industry over the years, not only providing abundant policy support but also generous financial investment, Li Wenyu, secretary of the Brain-Computer Interface Industrial Alliance, told the Global Times. From last year to 2024, both the central and local governments have successively issued relevant policies to support industrial development. The MIIT in 2023 rolled out a plan selecting and promoting a group of units with strong innovation capabilities to break through landmark technological products and accelerate the application of new technologies and products. The Beijing local government also released an action plan to accelerate the industry in the capital (2024-2030) this year. In 2023, there were no fewer than 20 publicly disclosed financing events for BCI companies in China, with a total disclosed amount exceeding 150 million yuan ($20.6 million), Li said. “The strong support from the government has injected momentum into industrial innovation.” The fact that China's BCI industry started later than Western countries such as the US is a reality, leading to the gap in China regarding technological breakthroughs, industrial synergy, and talent development, according to Li. To further close gaps and solve bottlenecks in BCI industrial development, Li suggested that the industry explore various technological approaches to suit different application scenarios and encourage more medical facilities powered by BCI to initiate clinical trials by optimizing the development of BCI-related ethics. Additionally, he highlighted that standard development is one of the aspects to enhance the overall level and competitiveness of the industry chain, which could, in turn, empower domestic BCI innovation. While China's BCI technology generally lags behind leading countries like the US in terms of system integration and clinical application, this has not hindered the release of Neucyber, which stands as China's first "high-performance invasive BCI." Neucyber, an invasive implanted BCI technology, was independently developed by Chinese scientists from the Chinese Institute for Brain Research in Beijing. Li Yuan, Business Development Director of Beijing Xinzhida Neurotechnology, the company that co-developed this BCI system, told the Global Times that the breakthrough of Neucyber could not have been achieved without the efforts of the institute gathering superior resources from various teams in Beijing. A group of mature talents were gathered within the institute, from specific fields involving electrodes, chips, algorithms, software, and materials, Li Yuan said. Shrugging off the outside world's focus on China’s competition with the US in this regard, Li Yuan said her team doesn’t want to be imaginative and talk too much, but strives to produce a set of products step by step that can be useful in actual applications. In addition, Li Wenyu also attributed the emergence of Neucyber to the independent research atmosphere and the well-established talent nurturing mechanism in the Chinese Institute for Brain Research. He said that to advance China’s BCI industry, it is necessary not only to cultivate domestic talents but also to introduce foreign talents to enhance China's research and innovation capabilities. The proposed plan for establishing the BCI standardization technical committee under the MIIT will solicit public opinions until July 30, 2024.

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

South African rand stable as markets await US interest rate hints

JOHANNESBURG, July 9 (Reuters) - The South African rand was little changed in early trade on Tuesday, as markets awaited the Federal Reserve chair's testimony in Washington and U.S. June inflation data for clues on the country's future interest rate path. At 0644 GMT, the rand traded at 18.1300 against the dollar , near its previous close of 18.1175. "The rand has opened marginally softer at 18.13 this morning, and we expect trading to remain range-bound in the short term," said Andre Cilliers, currency strategist at TreasuryONE. Markets will listen to the tone of Fed Chair Jerome Powell's testimony in Washington on Tuesday and Wednesday and look to June inflation data out of the U.S. later this week for hints on the future interest rate path in the world's biggest economy. "Analysts will be gauging the Fed's response to the recent softer U.S. economic and labour data, with markets already starting to price in two rate cuts this year," Cilliers added. The risk-sensitive rand often takes cues from global drivers like U.S. economic policy in the absence of major local factors. South Africa's benchmark 2030 government bond was slightly stronger in early deals, with the yield down 1 basis point at 9.74%.

Could a $600 billion funding gap crush the AI industry?

On July 5, Microsoft co-founder Bill Gates appeared on the Next Big Idea podcast to discuss his vision for Superhuman artificial intelligence and technological progress. At the same time, it said that the enthusiasm of the AI market is far more than the Internet bubble. Gates believes that the current threshold for entry in the AI field is very low, and the entire market is in a fever period, AI startups can easily get hundreds of millions of dollars in financing, and even have raised $6 billion (about 43.734 billion yuan) in cash for a company. "Never before has so much capital poured into a new area, and the entire AI market has fallen into a 'frenzy' in terms of market capitalization and valuation, which dwarfs the frenzy of the Internet and automotive periods in history." Gates said. At this stage, the rapid development of the artificial intelligence industry is a veritable gold industry, and Nvidia's market value is therefore soaring, and the total market value reached 3.34 trillion US dollars on June 18 local time, surpassing Microsoft and Apple in one fell fell, becoming the world's most valuable listed enterprise. But in fact, doubts about the field of artificial intelligence have also risen one after another and have never stopped.