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.

Companies are going to have fewer people and fewer layers. Ten years from now, the software development circuit may have fewer jobs, higher salaries, and more product-centric work. The reason behind it is the rapid development of AI, AI has approached human beings at the intelligence level, a lot of work relying on thinking ability may be handed over to AI, while emotion is still the territory of human beings, how to communicate and collaborate is the most important ability in the near future. When Indeed's chart for software development and operations jobs was released, we found that, as the chart shows, there was a peak in early 2022, but after that there was a precipitous decline.

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.

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

The World Intellectual Property Organization (WIPO) recently said that China filed 38,000 artificial intelligtion-related generative AI patents from 2014-23, while the United States filed 6,276 of the 50,000 patents filed by all countries. Of the 50,000 applications, 25 percent were filed last year.The top five inventor regions are: China (38,210 inventions), the United States (6,276 inventions), the Republic of Korea (4,155 inventions), Japan (3,409 inventions) and India (1,350 inventions).