The U.S. Navy's Pacific Fleet announced on Wednesday (May 22) that the 2024 Rim of the Pacific Exercise (RIMPAC 2024) is expected to take place on June 26, with 29 countries participating in and around the Hawaiian Islands, a larger lineup than the previous exercise in 2022. The Philippines, which has had multiple maritime conflicts with China recently, and Japan, which has tense diplomatic relations with China, will send troops to participate. China has been excluded from participating in the international military exercise since 2018, and its aggressive actions and reactions are causing tensions in the Pacific region to continue to rise. The biennial Rim of the Pacific military exercise is the world's largest international maritime exercise. The U.S. Navy said that the exercise will last until August 2, and it is expected to involve 29 countries, 40 surface ships, 3 submarines, 14 countries' army forces, more than 150 aircraft and more than 25,000 personnel. The U.S. Navy said that the theme of the 29th RIMPAC 2024 is "Partners: Integrated and Ready", emphasizing inclusiveness as the core, promoting multinational cooperation and trust, and using military interoperability to achieve their respective national goals to strengthen integrated and ready alliance partners. Its goal is to "enhance collective strength and promote a free and open Indo-Pacific region" through joint training and operations. The 29 countries participating in the exercise this year include Australia, Belgium, Brazil, Brunei, Canada, Chile, Colombia, Denmark, Ecuador, France, Germany, India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, the Netherlands, New Zealand, Peru, South Korea, the Philippines, Singapore, Sri Lanka, Thailand, Tonga, the United Kingdom and the United States. Compared with the 28th RIMPAC held in 2022, which involved 26 countries, 38 surface ships, 4 submarines, 9 countries' army forces, more than 170 aircraft, and about 25,000 officers and soldiers, the number of countries, ships and army forces participating in this exercise has increased. The countries participating in this year's RIMPAC military exercise include all members of the Quadrilateral Security Dialogue (QUAD) between the United States, Japan, India and Australia, and the Australia-UK-US Trilateral Security Partnership (AUKUS), as in the previous exercise. In addition, countries surrounding the South China Sea and the South Pacific island nation of Tonga are also participating. Many analysts believe that the military exercise itself is sending a message to China: China's expansion in the Western Pacific region will be blocked and defeated. The United States invited China to participate in the RIMPAC military exercise twice in 2014 and 2016. In 2018, due to China's expansion in the South China Sea, the United States withdrew its invitation to China. In addition, despite Taiwan's repeated willingness to participate, Taiwan is still not included in the 29 countries participating in this year's RIMPAC military exercise. Analysts pointed out that the US-led RIMPAC military exercise is intended to unite allies to militarily intimidate China. If Taiwan is invited to join, it will be too provocative to China, which will not only aggravate the tension between the United States and China, but also embarrass some allies. The U.S. Navy said the commander of the U.S. Third Fleet will serve as the commander of the joint task force for the exercise, while Chilean Navy Commodore Alberto Guerrero will serve as deputy commander of the joint task force, which is a first in the history of the RIMPAC military exercise. In addition, Japan Maritime Self-Defense Force Rear Admiral Kazushi Yokota will also serve as deputy commander. Other key leaders of the multinational force exercise include Canadian Commodore Kristjan Monaghan, who will command the maritime forces, and Australian Air Force Commodore Louise Desjardins, who will command the air forces. According to the U.S. Stars and Stripes, Vice Admiral Michael Boyle is currently the commander of the U.S. Third Fleet. Vice Admiral John Wade has been nominated to replace Boyle. The U.S. Navy press release said the exercise will enhance the ability of international joint forces to "deter and defeat aggression by major powers in all domains and conflict levels," but did not provide specific information on which exercises will be held this summer. Previous RIMPAC training exercises have included sinking ships at sea with missiles, amphibious landings and the first landing of a Marine Corps Osprey aircraft on an Australian ship.

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

The world's first portable electrocardiograph was an 85-pound backpack, and now a 10-gram patch attached to your chest can transmit electrocardiograms uninterrupted for two weeks. The Apple Watch, which is worn by an estimated 100 million people, can send a text message to alert people when their heartbeat is irregular. Wearable sensors on the arms, wrists and fingers can now report arrhythmias, blood sugar levels, blood oxygen and other health indicators. Medical journals have also proposed a more ambitious vision - wearable devices can monitor patients with chronic diseases, eliminating the need for frequent hospital visits. They can spot potential health problems before a stroke or diabetes develops. The forces of health technology and wearables are converging. Tech giants like Apple (AAPL) and Alphabet's (GOOGL) Google are adding health features to their products. Medical technologists like electrocardiogram patch maker iRhythm Technologies or blood sugar monitor makers DexCom (DXCM) and Abbott Laboratories (ABT) are taking their devices beyond the clinic. "In the sensor world, people started on the consumer side and wanted to get into health care," said Kevin Sayer, chief executive of Decon Medical. "In health care, we're trying to be more consumer oriented, and I think all of those things are sort of colliding." Early bets favored the tech giants, with every health-related announcement from Apple, Google or Samsung Electronics hitting medical tech stocks. But changing doctors' practices will also require sustained investment in clinical trials. Big tech companies have cut back on investments in health care. Now it seems that medical technologists will be at the vanguard of the digital health revolution - with smartwatches and smart rings bringing them more customers who need to be diagnosed. Blake Goodner, co-founder of Bridger Management, a hedge fund focused on health care, said: "A group of medtech companies focused on digital health are maturing and reaching a scale where they can not only be profitable but also make investments to compete with larger tech companies." Tech giants aren't getting out of the health business. Apple's smartwatch has an electronic heart rate sensor that generates a single-point electrocardiogram, a wrist temperature sensor, and an accelerometer that can detect violent falls. Hundreds of millions of people are wearing smartwatches with health features from Apple or its rivals Samsung and Garmin.

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.

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