On July 8, local time, former British Prime Minister Sunak announced the appointment of the Conservative Party Shadow Cabinet, which is the first shadow cabinet of the Conservative Party in 14 years. Several former British cabinet members during Sunak's tenure as prime minister were appointed to the Conservative Party Shadow Cabinet, including James Cleverly as Shadow Home Secretary and Jeremy Hunt as Shadow Chancellor of the Exchequer. But former Foreign Secretary Cameron was not appointed as Shadow Foreign Secretary. In addition, the new leader of the Conservative Party will be elected as early as this week. On July 4, the UK held a parliamentary election. The counting results showed that the British Labour Party won more than half of the seats and won an overwhelming victory; the Conservative Party suffered a disastrous defeat, ending its 14-year continuous rule.

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

In the past few weeks of anti-government activities in Kenya, AI tools have been creatively used by protesters to serve protests. According to the US "Flag" News Agency on July 5, protests in Kenya triggered by the 2024 fiscal bill are still continuing. In the past few weeks, Kenyan protesters, mainly young people, have creatively developed a series of AI tools to assist anti-government activities. The Kenyan government expressed concern about the risks associated with the use of AI tools in protests. Kelvin Onkundi, a software engineer in Kenya, developed the "Fiscal Bill GPT", which operates similarly to ChatGPT and can receive questions about the fiscal bill and generate responses. Martin Siele, a reporter from the "Flag" News Agency, analyzed: "The 'Fiscal Bill GPT' can convert professional terms in many legislative fields into easy-to-understand information for protesters, helping Kenyans understand the potential impact of the fiscal bill." Another software engineer, Marion Kavengi, developed the "SHIF GPT" to provide Kenyans with information about the upcoming Social Health Insurance Fund (SHIF). In addition to AI tools designed to help people understand controversial policies, protesters have also developed "Corrupt Politicians GPT" to assist protest demonstrations. After entering the name of a politician on the platform, the platform will generate a list of corruption scandals about the politician in chronological order. Developer BenwithSon wrote on the social platform X on June 28: "'Corrupt Politicians GPT' allows people to search for any scandal related to any politician. I have seen some leaders stand at the forefront of the political arena, but they are corrupt behind the scenes." Kenyan Chief Minister and Foreign Minister Mudavadi issued a communiqué to ambassadors of various countries in Nairobi on July 2 local time on protests and relevant government measures, expressing concerns about the use of AI and false information in protests. Mudavadi said: "AI technology is used by people with ulterior motives, which will fill the global information system with false narratives." The Kenya Times reported on June 30 that AI technology enables people to force the government to increase transparency and strengthen accountability, and its role in Kenyan political activities is becoming increasingly prominent. Martin Siller believes that AI is reshaping African political behavior in many ways. AI is a new tool for both governments and opposition parties in Africa, but Kenya is one of the African countries with the most developers, and its young protesters are particularly good at using AI technology to fight the government. The 2024 fiscal bill voted and passed by the Kenyan National Assembly on June 25 clearly stated that additional taxes will be levied to repay the interest on high sovereign debt, triggering large-scale demonstrations. After President Ruto announced the withdrawal of the tax increase bill on the evening of the 26th, demonstrations in many parts of Kenya continued. According to Reuters on July 3, Kenyan anti-government protesters are re-adjusting their activities to prevent the protests from turning into violent incidents.

There has been constant low-level sniping in the West against China's record on climate change, in particular its expansion of coal mining, and its target of 2060 rather than 2050 for carbon zero. I have viewed this with mild if irritated amusement, because when it comes to results, then China, we can be sure, will deliver and most Western countries will fall short, probably well short. It is now becoming clear, however, that we will not have to wait much longer to judge their relative performances. The answer is already near at hand. We now know that in 2023 China's share of renewable energy capacity reached about 50 percent of its total energy capacity. China is on track to shatter its target of installing 1200GW of solar and wind energy capacity by 2030, five years ahead of schedule. And international experts are forecasting that China's target of reaching peak CO2 emissions by 2030 will probably be achieved ahead of schedule, perhaps even by a matter of years. Hitherto, China has advisedly spoken with a quiet voice about its climate targets, sensitive to the fact that it has become by far the world's largest CO2 emitter and aware that its own targets constituted a huge challenge. Now, however, it looks as if China's voice on global warming will carry an authority that no other nation will be able to compete with. There is another angle to this. China is by far the biggest producer of green tech, notably EVs, and renewable energy, namely solar photovoltaics and wind energy. Increasingly China will be able to export these at steadily reducing prices to the rest of the world. The process has already begun. It leaves the West with what it already sees as a tricky problem. How can it become dependent on China for the supply of these crucial elements of a carbon-free economy when it is seeking to de-risk (EU) or decouple (US) its supply chains from China? Climate change poses the greatest risk to humanity of all the issues we face today. There are growing fears that the 1.5-degree Celsius target for global warming will not be met. 2023 was the hottest year ever recorded. Few people are now unaware of the grave threat global warming poses to humanity. This requires the whole world to make common cause and accept this as our overarching priority. Alas, the EU is already talking about introducing tariffs to make Chinese EVs more expensive. And it is making the same kind of noises about Chinese solar panels. The problem is this. Whether Europe likes it or not, it needs a plentiful supply of Chinese EVs and solar panels if it is to reduce its carbon emissions at the speed that the climate crisis requires. According to the International Energy Authority, China "deployed as much solar capacity last year as the entire world did in 2022 and is expected to add nearly four times more than the EU and five times more than the US from 2023-28." The IEA adds, "two-thirds of global wind manufacturing expansion planned for 2025 will occur in China, primarily for its domestic market." In other words, willy-nilly, the West desperately needs China's green tech products. Knee-jerk protectionism demeans Europe; it is a petty and narrow-minded response to the greatest crisis humanity has ever faced. Instead of seeking to resist or obstruct Chinese green imports, it should cooperate with China and eagerly embrace its products. As a recent Financial Times editorial stated: "Beijing's green advances should be seen as positive for China, and for the world." The climate crisis is now in the process of transforming the global political debate. Hitherto it seemed relatively disconnected. That period is coming to an end. China's dramatic breakthrough in new green technologies is offering hope not just to China, but to the whole world, because China will increasingly be able to supply both the developed and developing world with the green technology needed to meet their global targets. Or, to put it another way, it looks very much as if China's economic and technological prowess will play a crucial role in the global fight against climate change. We should not be under any illusion about the kind of challenge humanity faces. We are now required to change the source of energy that powers our societies and economies. This is not new. It has happened before. But previously it was always a consequence of scientific and technological discoveries. Never before has humanity been required to make a conscious decision that, to ensure its own survival, it must adopt new sources of energy. Such an unprecedented challenge will fundamentally transform our economies, societies, cultures, technologies, and the way we live our lives. It will also change the nature of geopolitics. The latter will operate according to a different paradigm, different choices, and different priorities. The process may have barely started, but it is beginning with a vengeance. Can the world rise to the challenge, or will it prioritize petty bickering over the vision needed to save humanity? On the front line, mundane as it might sound, are EVs, wind power, and solar photovoltaics. The author is a visiting professor at the Institute of Modern International Relations at Tsinghua University and a senior fellow at the China Institute, Fudan University. Follow him on X @martjacques.

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.