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].