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.

The largest collection of stolen passwords ever has been leaked to a notorious crime marketplace, according to cybersecurity researchers at Cybernews. This leak, dubbed RockYou2024 by its original poster “ObamaCare,” holds a file containing nearly 10 billion unique plaintext passwords. Allegedly gathered from a series of data breaches and hacks accumulated over several years, the passwords were posted on July 4th and hailed as the most extensive collection of stolen and leaked credentials ever seen on the forum. “In its essence, the RockYou2024 leak is a compilation of real-world passwords used by individuals all over the world,” the researchers told Cybernews. “Revealing that many passwords for threat actors substantially heightens the risk of credential stuffing attacks.” Credential stuffing attacks are among the most common methods criminals, ransomware affiliates, and state-sponsored hackers use to access services and systems. Threat actors could exploit the RockYou2024 password collection to conduct brute-force attacks against any unprotected system and “gain unauthorized access to various online accounts used by individuals whose passwords are included in the dataset,” the research team said. This could affect online services, cameras and hardware This could affect various targets, from online services to internet-facing cameras and industrial hardware. “Moreover, combined with other leaked databases on hacker forums and marketplaces, which, for example, contain user email addresses and other credentials, RockYou2024 can contribute to a cascade of data breaches, financial frauds, and identity thefts,” the team concluded. However, despite the seriousness of the data leak, it is important to note that RockYou2024 is primarily a compilation of previous password leaks, estimated to contain entries from a total of 4,000 massive databases of stolen credentials, covering at least two decades. This new file notably includes an earlier credentials database known as RockYou2021, which featured 8.4 billion passwords. RockYou2024 added approximately 1.5 billion passwords to the collection, spanning from 2021 through 2024, which, though a massive figure, is only a fraction of the reported 9,948,575,739 passwords in the leak. Thus, users who have changed their passwords since 2021 may not have to panic about a potential breach of their information. That said, the research team at Cybernews stressed the importance of maintaining data security. In response to the leak, they recommend immediately changing the passwords for any accounts associated with the leaked credentials, ensuring each password is strong and unique and not reused across different platforms. Additionally, they advised enabling multi-factor authentication (MFA), which requires an extra form of verification beyond the password, wherever possible, to strengthen cyber security. Lastly, tech users should utilize password manager software, which securely generates and stores complex passwords, mitigating the risk of password reuse across multiple accounts.

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

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.

A provocative new study reveals the complex effects of the space environment on human health, providing insight into potential damage to blood, cell structure and the immune system. The study focused on SpaceX's Inspiration4 mission, which successfully sent two men and two women into space in 2021 to orbit the Earth for three days and shed some light on the effects of space travel on the human body. The research data, derived directly from the Inspiration4 mission, shows that even a brief trip to space can significantly damage the human immune system, trigger an inflammatory response, and profoundly affect cell structure. In particular, space travel triggered unprecedented changes in cytokines that play a key role in immune response and muscle regulation but are not usually directly associated with inflammation. In particular, the study found a significant increase in muscle factors, which are physiological responses specific to skeletal muscle cells in microgravity, rather than a simple immune response. Although non-muscular tissues did not show changes in proteins associated with inflammation, specific leg muscles such as soleus and tibialis anterior muscles showed significant signs of metabolic activity, especially increased interleukin in the latter, further enhancing the activation of immune cells.