生成式人工智能

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三名员工离职同时,Meta GenAI产品总监加入OpenAI
Ju Chao Zi Xun· 2025-08-27 12:54
日前,Meta超级智能实验室两名人工智能研究员阿维·维尔马、伊桑·奈特在任职不足一个月后重返 OpenAI。 据报道,阿维·维尔马此前是OpenAI研究员。伊桑·奈特职业生涯早期曾在OpenAI任职,但后来从xAI跳 槽至Meta。另有一名研究员里沙布·阿加瓦尔周一也公开宣布离开Meta。 与此同时,在Meta任职近10年的Meta生成式人工智能产品管理总监查亚·纳亚克将加入OpenAI,负责特 别项目。 ...
企业 GenAI 的最大风险以及早期使用者的经验教训
3 6 Ke· 2025-08-11 00:20
一 概述 生成式人工智能已列入 企业 的路线图,但我们不 应 发布任何设计不安全的产品。LLM 改变了威胁模 型:不受信任的自然语言会成为攻击面,输出可以被武器化,代理可以代表我们采取行动。我将模型视 为在沙盒化、受监控且严格授权的环境中运行的不受信任的代码。 主要风险显而易见。即时注入(包括隐藏在文件和网页中的间接攻击)可以覆盖策略并窃取数据。拥有 过多权限的代理可能会滥用工具并执行不可逆的操作。RAG 可能会在提取或检索时中毒。隐私和 IP 可 能会通过训练回溯或日志泄露。不安全的输出处理会将模型文本转换为 XSS 或代码执行。对抗性提示 可能会导致模型 DoS 和成本失控。 企业现实加剧了风险。AI供应链(模型、数据集、插件)尚不成熟,容易出现后门和来源漏洞。可观 察性与合规性存在冲突——我们需要取证,但又不能过度收集个人数据。模型和插件的更新会悄无声息 地改变行为;如果没有版本锁定和重新测试,安全性就会下降。内容来源薄弱,使得欺骗和欺诈更容易 发生。员工的影子AI会造成我们无法控制的未经批准的数据泄露。 我的策略是零信任和纵深防御:限制输入、隔离和代理工具,并净化输出。部署前的几项关键措施包 括:允许 ...
上市四年累计募资73亿元,商汤科技获中东资本加持
Huan Qiu Lao Hu Cai Jing· 2025-07-24 10:39
Core Viewpoint - SenseTime Technology announced a new fundraising initiative through the issuance of approximately 1.67 billion B-class shares at HKD 1.50 per share, aiming to raise around HKD 2.5 billion, with a net amount of approximately HKD 2.498 billion after expenses [1] Group 1: Fundraising Details - The fundraising will be fully subscribed by Wujie Capital, an international long-term fund focused on emerging technologies and other sectors [1] - This marks the third fundraising effort since SenseTime's IPO, with previous rounds raising approximately HKD 2 billion in June 2024 and HKD 2.8 billion in December 2024 [2] Group 2: Use of Proceeds - The funds will primarily support the development of core business areas, including AI cloud services, generative AI research, and the development of multimodal large model derivative products [1] - The company aims to explore technology integration in innovative verticals, including embodied intelligence robots and digital finance applications [1] Group 3: Business Strategy and Financial Performance - SenseTime is restructuring its organization to promote independent financing for various sectors, including smart vehicles and healthcare [3] - Although the company has not yet achieved profitability, its losses have been narrowing, with revenue projections of approximately HKD 3.809 billion, HKD 3.406 billion, and HKD 3.772 billion from 2022 to 2024, and net losses decreasing from HKD -6.045 billion to HKD -4.278 billion during the same period [3]
瞭望 | 人工智能治理:刀锋之舞
Xin Hua She· 2025-07-07 08:21
Core Insights - Artificial intelligence (AI) is a strategic technology driving the current technological revolution and industrial transformation, showcasing significant potential to alter production and lifestyle, as well as reshape the global economic landscape [2] - The AI industry in China is rapidly developing, with the core industry scale approaching 600 billion yuan by 2024, indicating a robust ecosystem encompassing foundational hardware and software, key technology research, and industry applications [2] - AI presents a dual-edged sword effect, driving economic growth while also introducing complex, unpredictable risks due to its unique characteristics, including systemic integration, cross-domain diffusion, value sensitivity, and dynamic adaptability [2][3] Industry Characteristics - The systemic nature of AI means it is deeply embedded in complex socio-economic networks, leading to widespread impacts [2] - AI technologies can quickly spread defects or ethical issues across different domains, potentially causing chain reactions [2] - The reliance on data and algorithms in AI decision-making can lead to hidden biases and ethical violations in critical areas [2] - Continuous learning and evolution of AI models can result in unpredictable risk developments beyond initial expectations [2] Governance Challenges - Traditional governance approaches may fail in managing AI due to its dynamic decision-making capabilities, necessitating a balance between risk control and innovation facilitation [4] - The complexity of AI governance involves reconciling multiple, often conflicting objectives, such as ensuring safety while promoting technological advancement [4] - The World Economic Forum's 2024 Global Risks Report identifies AI-generated misinformation as a top global risk, highlighting concerns over its potential to exacerbate global tensions [4] Global Governance Approaches - The governance of AI has become a strategic battleground among major powers, with the U.S., EU, and China adopting distinct governance models [5][6] - The U.S. favors a "light regulation" approach, emphasizing innovation and market-driven solutions while maintaining a focus on high-risk scenarios [5] - The EU adopts a "strong regulation" model centered on protecting individual rights and establishing clear compliance obligations, aiming to set a global benchmark for AI governance [6] - China is developing a comprehensive governance framework that includes ethical guidelines and regulatory measures across the AI lifecycle, emphasizing a balance between safety and development [7] Future Considerations - The effectiveness of different governance models will depend on various factors, including technological breakthroughs, application efficacy, and the evolving industrial ecosystem [8] - The ultimate goal of AI governance should be to serve humanity's long-term interests, ensuring dignity, fairness, safety, and control over one's destiny while leveraging AI's potential for societal progress [8][9]
AI 很可能会加剧职场性别差距
3 6 Ke· 2025-07-05 07:11
Group 1 - The core argument is that generative AI is reshaping the job market but is also exacerbating the long-standing gender gap in the workplace [3][4] - Women face a dual disadvantage in the AI transformation, with fewer women in AI-enhanced roles (20.5%) compared to men (24.1%), and a higher percentage of women in jobs being disrupted by AI (33.7% for women vs. 25.5% for men) [4] - In the U.S., jobs expected to be disrupted by AI include medical administrative assistants (91% female) and office managers (88% female), while AI-enhanced roles are dominated by men, such as electrical engineers (94% male) and mechanical engineers (89% male) [4] Group 2 - There is a significant STEM gap, with women making up 38.5% of STEM graduates in 2021 but only 31.6% entering the STEM workforce in 2022 [5] - The representation of women in STEM entry-level positions is 29%, in management positions is 24.4%, and in executive roles is only 12.2% [5] - Companies need to reassess their hiring practices and performance evaluations to ensure fair opportunities for success and advancement, regardless of gender [5] Group 3 - Positive trends indicate that women are catching up in AI skills, with the percentage of women possessing AI engineering skills increasing from 23.5% in 2018 to 29.4% by early 2025 [6] - In 74 economies, gender gaps in AI skills have narrowed over the past five years [6] - Women are more likely to underestimate their AI skills in their resumes [6] Group 4 - No economy fully utilizes all available talent for innovation, but some perform better than others, with East Asian economies like China (26.8% female inventors) and South Korea (28.3% female inventors) surpassing the EU and U.S. by about 10 percentage points [7][8] - The rise of generative AI does not reflect societal diversity, leading to underrepresentation of women in future job and leadership roles [8] - There is an opportunity to correct this trend through investment in skill development and equitable use of AI in hiring and promotions [8]
“人工智能+”重塑制造业竞争优势
Jing Ji Ri Bao· 2025-07-02 22:41
Core Viewpoint - Artificial intelligence (AI) is a strategic technology leading a new wave of technological revolution and industrial transformation, emphasizing the integration of AI with manufacturing to enhance global competitiveness [1][2]. Group 1: Current State and Trends in Manufacturing - Manufacturing is a crucial pillar of the national economy, currently undergoing a transformation into the "smart manufacturing era" driven by AI and robotics [2]. - China's manufacturing sector has historically relied on low-cost labor, but rising costs and geopolitical tensions are necessitating structural adjustments to maintain competitive advantages [2][3]. Group 2: Empowerment of Manufacturing by AI - Industrial robots represent early applications of AI in manufacturing, significantly improving efficiency and product performance in sectors like automotive and electronics [3]. - Recent breakthroughs in AI, particularly in deep learning and generative AI, are expanding its applicability and enhancing the capabilities of manufacturing processes [3][4]. Group 3: Deep Integration of AI and Manufacturing - The integration of AI into manufacturing spans all stages from R&D to after-sales service, leading to comprehensive upgrades across the entire supply chain and business ecosystem [4]. Group 4: Enhancing Cost Competitiveness through Efficiency - AI improves production efficiency by substituting labor, enhancing productivity, and reducing overall costs, with China being the largest market for industrial robots [5][6]. - AI technologies also enhance product quality and operational efficiency through predictive maintenance and dynamic optimization of production processes [6]. Group 5: Improving Product Performance and Market Appeal - AI enables manufacturers to better understand user needs and develop tailored products, enhancing market competitiveness [7]. - The integration of AI into products increases their functionality and value, allowing manufacturers to offer personalized services and improve customer engagement [7]. Group 6: Strengthening Global Supply Chain Control - AI enhances manufacturers' ability to manage global supply chains by providing real-time data connectivity across production, logistics, and market dynamics [8]. - The rise of e-commerce platforms is shifting the power dynamics in global supply chains, increasing China's influence in international markets [8]. Group 7: Fostering New Industry Competitiveness through Disruptive Innovation - The convergence of AI with disruptive innovations is creating new industries characterized by rapid growth and significant potential [9]. - AI's integration into emerging sectors, such as low-altitude economy, is essential for developing new capabilities and advantages [9]. Group 8: Pathways to Reshape Competitive Advantages - To leverage AI for enhancing manufacturing competitiveness, it is crucial to address existing barriers in technology, infrastructure, and talent [10][11]. - Investment in foundational research and innovation in AI technologies is necessary to overcome challenges and expand application scenarios [10][12].
倾听尼山2025 | 丁元竹:开创人工智能时代的新型文明形态
Jing Ji Guan Cha Bao· 2025-07-01 04:56
Group 1 - The 11th Nishan World Civilization Forum will be held in Qufu, Shandong from July 9 to 10, 2025, focusing on the theme "Beauty in Diversity: Civilizational Relationships and Global Modernization" [2] - The forum aims to address pressing global issues and promote dialogue among different civilizations, especially in the context of increasing political conflicts and economic barriers [2] - Various subtopics will be discussed, including the origins and future development of civilizations, the global significance of Confucian culture, and the impact of artificial intelligence on human civilization [2] Group 2 - The rapid development of artificial intelligence (AI) is seen as a pivotal moment in human civilization, raising questions about its implications for society and the workforce [3][4] - AI's ability to automate jobs poses challenges, including potential job losses in various sectors, privacy concerns, and biases in data training [7][8] - The integration of AI into society requires a cultural and institutional adaptation, emphasizing the need for a collaborative approach between technology and human values [8][10] Group 3 - The acceptance of AI technology is a gradual process influenced by societal understanding and the ability to adapt to new technologies [6] - The potential for job displacement due to AI is significant, particularly in roles with clear rules, while new job opportunities may arise in more complex fields [15][16] - The development of AI could exacerbate wealth inequality, as companies leveraging AI may dominate markets, leading to a "winner-takes-all" scenario [17] Group 4 - The future of AI is uncertain, with predictions of its capabilities evolving rapidly, yet concerns about its alignment with human values and ethics remain [22][23] - AI's impact on education and social structures is expected to be profound, necessitating a reevaluation of human understanding and interaction with technology [24][26] - The emergence of a new civilization shaped by AI requires a cooperative culture between humanistic and technological disciplines to ensure a beneficial future [20][21]
德勤携手港大成立AI实验室 促进企业加快数码转型步伐
Zheng Quan Shi Bao Wang· 2025-06-29 13:08
Core Insights - Deloitte hosted the "Deloitte Digital Day 2025," gathering over 500 business leaders, AI experts, and tech representatives to explore the potential of AI across various industries [1] - Deloitte announced a partnership with the University of Hong Kong to establish the "Deloitte × HKU Organizational Transformation AI Lab," aimed at bridging AI research with practical business applications and accelerating digital transformation [1][2] - The AI lab will focus on collaborative academic research, developing AI-driven industry applications, and enhancing communication between academia and industry to facilitate the implementation of AI technologies in local enterprises [1][2] Industry Developments - The application of AI is accelerating globally and locally, reshaping business operations in finance, operations, marketing, and cybersecurity [1] - The emergence of Agentic AI signifies a mature phase in AI development, evolving from task automation to intelligent agents capable of making decisions and coordinating complex end-to-end business processes [1] - Cross-industry collaboration is deemed crucial for advancing Hong Kong's AI development, fostering partnerships among business, academia, and tech leaders to drive transformative innovations [2] Academic Collaboration - The collaboration between Deloitte and HKU combines industry leadership with academic expertise to assist enterprises in their AI transformation journey, enhancing operational efficiency and expediting enterprise-level deployment of AI solutions [2] - The partnership aims to create a blueprint for future enterprises, leveraging Deloitte's experience in industry transformation and HKU's world-class research capabilities [2] - The AI lab is expected to act as a catalyst for converting cutting-edge AI research into impactful commercial applications, aiding businesses in achieving deep transformations [2] AI Applications - The event featured over 20 leading tech companies showcasing innovative AI applications across various sectors [2] - Twilio's Asia Pacific Director highlighted how businesses can leverage AI for demand forecasting, efficient problem resolution, and personalized interactions, transforming customer experiences [3] - AI is anticipated to foster closer, more humanized relationships between brands and consumers in the digital age [3]
全球媒体聚焦|全球经济未来的“竞技场”上 中国拥有强大的塑造能力
Sou Hu Cai Jing· 2025-06-24 12:50
Group 1 - The article highlights China's extraordinary economic transformation over the past two decades, which has lifted millions out of poverty and established a prosperous middle-income group, positioning China as a global economic powerhouse [1] - McKinsey Global Institute defines "arena" as vibrant, high-growth industries that reshape the global economy through significant innovation, competition, and value creation, analyzing 12 sectors that experienced super-scale growth from 2005 to 2020, including e-commerce, biomedicine, electric vehicles, and internet consumption [1][2] - Chinese companies have successfully entered global markets in sectors like electric vehicles, personal computers, and e-commerce, driven by a large domestic market, a strong manufacturing base, supportive national policies, and an encouraging entrepreneurial environment [1] Group 2 - The research anticipates that future arenas could generate $29 trillion to $48 trillion in revenue and $2 trillion to $6 trillion in profit by 2040, with China already achieving success in several of these areas [2] - Chinese companies are major players in e-commerce and AI services, leveraging innovations in data analytics and supply chain efficiency to compete globally, with established firms integrating generative AI into personalized education, short video creation, and enterprise software [2] - Progress in electric vehicles, battery technology, and robotics positions China well for future growth, indicating a solid foundation for economic value creation and innovation [2][4] Group 3 - China's economic development has relied on its ability to seize opportunities in high-growth sectors, and it is well-prepared to thrive as the world transitions to new transformative industries [4] - The article notes that China faces a complex global environment characterized by changing geopolitical dynamics, evolving trade relations, and intensified competition in technology and innovation [4] - The next chapter of China's economic story is poised to be written, with significant and exciting opportunities ahead [4]
拧紧新技术发展的“安全阀”(评论员观察)
Ren Min Ri Bao· 2025-06-15 21:51
Group 1 - The core viewpoint emphasizes the importance of AI safety, suggesting that it is not about restricting technological advancement but rather ensuring it progresses in a healthy and sustainable manner [1] - The OECD reports that the number of AI risk events is projected to increase by approximately 21.8 times from 2022 to 2024, highlighting the rapid development of AI-related risks [1] - There is a call for a balanced approach to AI development, advocating for regulations that do not stifle innovation while ensuring safety and ethical standards are maintained [2] Group 2 - Companies are identified as key players in advancing AI and must take on primary responsibility for safety, adhering to the principle of "technology for good" [3] - Examples of corporate responsibility include Tencent's restrictions on AI-generated content violations and Douyin's strict penalties for improper use of AI [3] - The development of new technologies for detecting AI-generated fraud and scams is highlighted, showcasing the industry's proactive measures to enhance security [4] Group 3 - The continuous evolution of policies and regulations in the AI sector is necessary to keep pace with technological advancements, ensuring a balance between development and legal management [2] - Recent regulatory measures include the implementation of management guidelines for generative AI services and requirements for clear labeling of AI-generated content [2] - The integration of technology in combating AI-related fraud, such as the development of electronic identifiers and intelligent risk control systems, demonstrates a tech-driven approach to security [4]