一个国家的民选总统，被他国光天化日之下堂而皇之抓走到其他国家去接受所谓审判，不管是什么罪 名，不管是出于什么目的，发生在21世纪，这就是人类的悲剧、世界的笑话。 这绝对不是最后一个。 为什么会发生这种悲剧？简单地指责美国无济于事——美国从1898年美西战争打败西班牙后就称霸美 洲，不到百年时间就41次在拉丁美洲制造政权更迭，以反恐、反毒品等名义策划政变，推翻政权、抓捕 领导人，已经不是什么新鲜事儿了。这也是特朗普向美国建国250年"献礼"、所谓"让美国再次伟大"的 举措，也是2026年美国中期选举的先声夺人。 亚洲一些国家也有这样的类似的悲剧。所以观察日前出台的《美国国家安全战略报告》就不难明白，委 内瑞拉的命运就已经被看得很清楚了。在这项报告里，美国总统特朗普警告说，美洲国家是"希望生活 在一个由美国主导的，由主权国家和自由经济组成的世界，还是希望生活在受世界另一端国家影响的平 行世界中？" 所以，美国此次对委内瑞拉下手，主要释放三个信息： 第一，就是把敢于反美的美洲政权及其领导人给清除掉，但不是那种以色列的定点清除，而是一种羞辱 式的审判。美国认为，其他国家都得瑟瑟发抖。谁会成为下一个？ 第二，警告其他拉 ...

一个国家的民选总统，被他国光天化日之下堂而皇之抓走到其他国家去接受所谓审判，不管是什么罪 名，不管是出于什么目的，发生在21世纪，这就是人类的悲剧、世界的笑话。 这绝对不是最后一个。 为什么会发生这种悲剧？简单地指责美国无济于事——美国从1898年美西战争打败西班牙后就称霸美 洲，不到百年时间就41次在拉丁美洲制造政权更迭，以反恐、反毒品等名义策划政变，推翻政权、抓捕 领导人，已经不是什么新鲜事儿了。这也是特朗普向美国建国250年"献礼"、所谓"让美国再次伟大"的 举措，也是2026年美国中期选举的先声夺人。 这些都不是问题的根源。当今世界最主要的问题，还是没有推翻"三座大山"——帝国主义、殖民主义、 霸权主义及其国内代理。《联合国宪章》说主权平等，但当一个国家没有维护主权的能力的时候，主权 平等或许就成了纸面上的。 世界是失衡的世界。看看委内瑞拉总统马杜罗被抓以后，欧洲领导人不痛不痒的反应就很清楚，他们对 俄罗斯的腔调和对美国的是完全不一样的，谁能警告美国下不为例？ 第二，警告其他拉丁美洲国家：美国回来了，拉丁美洲是不仅是美国的"后院"，而且此次行动意味着特 朗普版"门罗主义"诞生了。这里的秩序，这里的正义 ...

Core Points - The signing of the "U.S.-Malaysia Reciprocal Trade Agreement" has sparked significant backlash in Malaysia, with accusations of sovereignty betrayal and calls for parliamentary rejection [1][3][4] - The agreement is characterized as extremely unequal, with Malaysia bearing 104 binding obligations compared to only 4 for the U.S., highlighting a 26:1 disparity [3][7] - The agreement is seen as a systematic erosion of Malaysia's digital sovereignty, locking the country into dependency on the U.S. for economic and technological development [4][15] Summary by Sections Inequality of Commitments - Malaysia is required to fulfill 104 specific obligations, while the U.S. only commits to 4, with only one being a hard commitment (tariffs) [7][10] - The language used in commitments further emphasizes inequality, with 98% of Malaysia's commitments being mandatory ("shall") compared to 75% of U.S. commitments being non-binding [8][9] Loss of Digital Sovereignty - The agreement dismantles Malaysia's previous digital sovereignty framework, which aimed to control data and digital infrastructure [15][17] - Specific clauses prohibit Malaysia from imposing a digital services tax and require the removal of local data storage mandates, effectively allowing data to flow freely to the U.S. [18][19] Geopolitical Implications - The agreement serves U.S. strategic interests by ensuring Malaysia's compliance with U.S. sanctions and export controls, effectively making Malaysia an enforcer of U.S. foreign policy [29][30] - The inclusion of "poison pill" clauses allows the U.S. to terminate the agreement if Malaysia engages with countries deemed harmful to U.S. interests, pressuring Malaysia to align with U.S. geopolitical goals [28][36] Broader Regional Strategy - The agreement with Malaysia is part of a broader U.S. strategy to establish similar agreements with other Southeast Asian nations, aiming to create a regional framework that excludes China [32][37] - The systematic approach taken by the U.S. in these agreements reveals a template for exerting influence over Southeast Asian countries, emphasizing the need for them to choose sides in the U.S.-China rivalry [36][38]

Core Insights - The article highlights the significant advancements in AI applications within the financial sector, emphasizing the shift from conceptual models to practical implementations, with keywords such as "landing," "trustworthy," and "embodied" being central to the discussions at the WAIC2025 [1][2]. AI Financial Applications Breakthroughs - The Shanghai Artificial Intelligence Finance Institute (SAIF) introduced the new Smith RM financial reasoning model, which effectively addresses hallucination issues in financial credit analysis, generating a 12,000-word credit report in 30 seconds with a hallucination rate of under 0.3%, a 97% reduction from the previous generation [3][4]. - The Agricultural Bank of China's Shanghai branch reported that the new system has assisted in approving 4.7 billion yuan in technology loans over three months, reducing the average approval time from 5.7 working days to 11 minutes [3]. Innovations in Customer Interaction - The "Xiao Jiao" embodied intelligent robot from the Bank of Communications can provide various services, enhancing customer experience and offering a new approach to intelligent financial services [5]. - Ant Group showcased the "Look and Pay" smart glasses payment solution, allowing users to complete transactions through voice commands and visual recognition, streamlining the payment process [6]. Challenges in AI Implementation - Despite the breakthroughs, the implementation of AI in finance faces challenges, as discussed in the "FinAI Artificial Intelligence Financial Leaders" roundtable. Experts emphasized that AI deployment is not merely a technical or management issue but a comprehensive integration of strategy and operations [9]. - The importance of collaboration between banks and fintech companies was highlighted, with the need for banks to embrace technology to remain competitive [9]. Future Financial Landscape - The discussion on how AI will reshape the financial landscape identified banks, tech companies, and regulatory bodies as the three main driving forces of financial innovation, with computing power being the core foundation [12]. - The potential of China's computing power in the financial sector was noted, with the country ranking second globally, despite existing challenges in chip technology [13]. Importance of Standards and Collaboration - The IEEE's efforts in developing AI standards were discussed, emphasizing the need for global cooperation and consensus in AI technology development to ensure ethical and socially responsible applications [14]. - The concept of data sovereignty and its implications for sustainable development was introduced, advocating for a new form of digital assets to promote sustainability in AI applications [14].

Core Insights - The 2025 World Artificial Intelligence Conference (WAIC2025) highlights the shift in the financial industry's AI applications from conceptual to practical implementations, focusing on "landing," "trustworthiness," and "embodiment" [1] - Innovations such as the Smith RM financial reasoning model and various AI-driven tools are reshaping the future of financial services, while also presenting significant challenges and concerns [1][2] AI Financial Applications - The Smith RM financial reasoning model developed by East China Normal University can generate a 12,000-word credit report in 30 seconds with a hallucination rate of less than 0.3%, a 97% reduction from the previous generation [2] - The Agricultural Bank of China's Shanghai branch has utilized this system to assist in approving 4.7 billion yuan in loans, reducing the average approval time from 5.7 days to 11 minutes [2] - The "Xiao Jiao" embodied intelligent robot from the Bank of Communications offers various customer services, enhancing user experience and providing a new approach to financial service transformation [3] Technological Advancements - Ant Group has restructured its AI financial management system based on advancements in large model technology, leading to the launch of upgraded services like "Ant Insurance" and "Ant Small Finance" [3] - The "Look and Pay" smart glasses payment solution from Ant Group allows users to complete transactions through voice commands and scanning, showcasing innovative payment methods [4] Industry Challenges - Experts at the "FinAI Artificial Intelligence Financial Leaders" forum emphasize that the implementation of AI in finance is not merely a technical issue but requires strategic thinking and management process adjustments [5] - The relationship between fintech companies and banks is crucial, as fintech can drive banks to adopt technology, particularly in areas like cross-border payments [5] Collaboration and Standards - The importance of collaboration between academia, industry, and research is highlighted, with a focus on integrating traditional AI with modern generative AI in finance [6] - The IEEE is actively developing standards for AI technology to ensure ethical development and global cooperation, covering areas such as explainable AI and data sharing [8] Future Outlook - The role of computing power is seen as central to the future of financial innovation, with experts noting that the application of computing power in suitable business contexts is more critical than the power itself [7] - The potential of China's computing power in the global market is emphasized, with the country positioned as the second-largest player despite existing technological bottlenecks [7]

Group 1: Core Argument - The essence of capitalism's self-regulation is a misinterpretation; it is a product of class struggle rather than benevolence from the ruling class [2][3] - The welfare state and labor rights are not improvements from capitalism but rather concessions made under pressure from the working class [2][3] - The current state of capitalism is more cunning and financialized than in the 19th century, with unresolved contradictions accumulating globally [4][5] Group 2: Analysis of Financial Systems - The U.S. stock market is characterized as a casino of virtual capital, reflecting the deepening contradictions of capitalism [3][4] - The U.S. national debt is described as the largest form of virtual capital, relying on the exploitation of global labor [6][7] - The proposed "dollar stablecoin" is seen as a misguided attempt to salvage a hollow financial system, leading to further instability [7][8] Group 3: Implications of Dollar Stablecoin - The dollar stablecoin represents a new form of financial colonization, creating a dependency on U.S. financial systems in the digital realm [12][14] - It perpetuates a hidden global seigniorage, extracting value from global users while offering little in return [18][19] - The stablecoin system enhances financial surveillance and control, undermining the autonomy of individuals and nations [20][21] Group 4: Global Economic Dynamics - The dollar stablecoin threatens the monetary sovereignty of developing countries, exacerbating financial instability and inequality [21][22] - A call for international solidarity among the working class is emphasized as a necessary response to the challenges posed by the dollar stablecoin [22][23] - The ultimate solution lies in the abolition of capitalism itself, as monetary systems will always serve as tools of class oppression under capitalism [24][25]

Core Viewpoint - The rapid development of artificial intelligence (AI) technology has led to significant negative issues, including the misuse of deepfake technology, which poses serious threats to human rights and privacy [1][3][6]. Group 1: AI Misuse and Human Rights Violations - Deepfake technology has been widely abused, leading to harassment and extortion, particularly affecting teachers and women, with a significant percentage of victims being minors [3][6]. - In South Korea, the prevalence of deepfake videos has prompted the government to enact strict laws against child pornography, categorizing the distribution and possession of such content as criminal acts [3][6]. - Experts at the 2025 China-Europe Human Rights Seminar emphasized that existing legislation against deepfakes is insufficient, as the technology's accessibility has lowered the barriers for misuse [7][10]. Group 2: International Cooperation and Legislative Challenges - The challenge of combating deepfake technology is exacerbated by the fact that many of these videos are hosted on foreign servers, complicating evidence collection and enforcement [7][10]. - The need for international cooperation is highlighted, as many perpetrators exploit anonymity on foreign platforms, making it difficult for law enforcement to take action [7][10]. - The discussion at the seminar underscored the importance of collaborative efforts to address the human rights violations stemming from AI misuse [7][10]. Group 3: Broader Implications of AI Technology - The misuse of AI extends beyond deepfakes, with concerns about privacy violations due to unauthorized data collection and the impact of algorithms on social behavior, particularly among minors [8][10]. - Experts pointed out that AI-driven applications can lead to addiction and mental health issues among young people, raising alarms about the societal implications of unchecked AI technology [8][10]. - The monopolization of AI technology by large Western corporations poses risks to individual rights and national sovereignty, as well as potential manipulation of public perception and electoral processes [10][12]. Group 4: China's Role in AI Governance - China is actively addressing the challenges posed by AI misuse and has been recognized for its efforts in establishing regulations to ensure the ethical use of AI technology [12][13]. - Chinese experts presented case studies demonstrating how AI can benefit society, particularly in healthcare, education, and disaster response, while also emphasizing the importance of regulatory frameworks [13][15]. - The seminar concluded with a consensus on the need for cooperation between China and Europe in AI governance, highlighting the complementary nature of their approaches [21][23].