0:00 11月6日，由新华网、新华社山西分社主办的第12届新华网思客年会在山西省临汾市举办。本次年会 以"中国经济的下一程：底气、韧性与活力"为主题，来自政产学研用等领域的数百名嘉宾，聚焦"十五 五"规划建议，探讨未来发展机遇与挑战，共议经济发展新动能与地方实践新路径。 阿里云资深技术专家罗凯在会上表示，当前AI浪潮正从实验室涌向产业一线，从技术突破走向场景落 地。如何让技术红利惠及千行百业、赋能城市发展，成为时代赋予的核心命题。"十五五"时期，应持续 加强人工智能顶层设计和体系化部署，加强基础研究和关键核心技术攻关，不断夯实人工智能发展的技 术根基。 人工智能历经70余年跌宕发展，已完成从理论探索到技术爆发的跨越，成功实现"上半场"突破。罗凯指 出，从全球开源大模型格局来看，以阿里云通义千问为代表的开源大模型下载量已经突破6亿+，开源 大模型领域实现"弯道超车"。 罗凯表示，国务院印发的《关于深入实施"人工智能+"行动的意见》明确了我国实施"人工智能+"行动的 阶段性目标。到2027年，新一代智能终端、智能体等应用普及率超70%。因此，进入"下半场"，我们的 核心目标是推动技术突破转向落地赋能，将强大的模 ...

Core Insights - The Wuzhen Summit is entering the era of artificial intelligence, marking a new phase for the "Digital Zhejiang" initiative [2][3] - Zhejiang's digital economy has maintained double-digit growth for 11 consecutive years, with a projected value of 4.8 trillion yuan in 2024, accounting for 53.3% of its GDP [1] Group 1: Artificial Intelligence Development - Global advancements in artificial intelligence are driving a new wave of technological revolution and industrial transformation [3] - Zhejiang has embraced AI, with significant improvements in manufacturing efficiency, such as a 300% increase in production efficiency and a 50% reduction in product development cycles at Zhongce Rubber [4] - The province has 1,717 AI enterprises, with a 22% year-on-year revenue growth in the AI core industry, totaling 494.39 billion yuan in the first three quarters of this year [5] Group 2: Digital Economy Initiatives - Zhejiang has been approved for the establishment of a national digital economy innovation development pilot zone, making it the first province to have dual pilot zones [6] - The digital economy is a key driver of Zhejiang's development, with the GDP of Tongxiang, where Wuzhen is located, growing from 65.2 billion yuan in 2015 to 134.7 billion yuan last year, averaging an 8.4% annual growth rate [7] - By 2024, Zhejiang aims to have core digital economy industries exceed 1 trillion yuan in value, with significant growth in sectors like AI and integrated circuits [8] Group 3: Digital Infrastructure and Services - Zhejiang has established a leading network infrastructure, with all 11 districts achieving "gigabit city" status and a high density of 5G base stations [8] - The province's supercomputing center has attracted over 35,000 registered customers, showcasing the ease of accessing computing power [8] - Digital services have become integral to daily life in Zhejiang, with over 100 million registered users on the "Zheli Ban" app, facilitating over 85% of government services online [11]

AgentScope-Samples上线 AgentScope-Samples 致力于构建"开箱即用型"智能体实现和全栈应用的集合，集中展示 AgentScope 在 不同领域的实际应用案例。 智通财经APP获悉，11月5日，阿里云通义千问宣布AgentScope1.0上新，新增开源智能体，开源了两个 基于AgentScope构建的智能体应用——具有任务规划和相应的处理能力的Alias-Agent以及多智能体系统 Data-Juicer Agent。此外，AgentScope目前已集成ReMe的长期记忆实现，支持个人、任务和工具级别的 长期记忆管理。 Alias-Agent ：具有任务规划和相应的处理能力，可在四种专业模式(ReAct、Planner-Executor、Deep Research、Browser-Use)之间智能切换，在安全沙箱环境中灵活应对各类真实任务的挑战。Alias-Agent 希望为用户提供开箱即用的解决方案和新一代的智能体开发范式。 Data-Juicer Agent ：一个多智能体系统，通过将 AgentScope 的多智能体编排能力与 Data-Juicer 的数据 处理算子无缝 ...

值得注意的是，在发布会上同马斯克一起分享的两位xAI的核心创始成员，都是华人。这 也并非他们首次与马斯克同台。 早在今年2月的发布会上，他们就已经以核心成员的身份 亮相 。 记者丨董静怡 孔海丽 编辑丨骆一帆 当地时间7月9日，马斯克的xAI公司发布最新旗舰模型Grok 4，直接跳过Grok 3.5版本，以 25.6万tokens的上下文窗口、10倍于前代的推理能力，以及多模态支持能力震撼业界。 坐在中间位置的吴宇怀，是出生于杭州建德的"95后"，今年刚满30岁，却已在AI领域崭露头 角 。 他 在 多 伦 多 大 学 攻 读 机 器 学 习 博 士 ， 师 从 " 深 度 学 习 之 父 " 杰 弗 里 · 辛 顿 （ Geoffrey Hinton）。博士期间曾在Google DeepMind和OpenAI实习，毕业后加入Google研究院，并在 斯坦福大学从事博士后研究。 2023年xAI成立时，他作为联合创始人加入，成为团队中最年 轻的核心成员之一 。 坐在右侧的Jimmy Ba，不仅是xAI的创始成员，也是吴宇怀的导师之一。他同样毕业于多伦 多大学，其2014年与Diederik P. Kingma ...

Core Insights - The rise of Chinese AI talent is a significant phenomenon in the global technology landscape, with a notable increase in the number of top AI researchers from China [4][5][6] Group 1: Talent Acquisition and Movement - Nvidia's CEO Jensen Huang has recently recruited two prominent Chinese AI experts, Banghua Zhu and Jiantao Jiao, highlighting the demand for Chinese talent in the AI sector [2] - Meta has also been actively recruiting Chinese researchers, with at least four out of seven core researchers recently hired from OpenAI being Chinese [3] Group 2: Educational and Institutional Support - The proportion of top AI talent from Chinese universities has increased from 27% in 2019 to 38% in 2022, surpassing that from U.S. universities [4] - The Chinese education system has undergone reforms, leading to the establishment of over 600 AI-related programs in universities by 2024, which has contributed to the growth of local talent [5][6] Group 3: Innovation and Patent Activity - Since 2017, the number of patent applications in generative AI has surged by over 800%, with China leading in the number of new generative AI patents, accounting for 61.5% of the total in 2024 [6] - Chinese companies like DeepSeek are demonstrating the capability to independently develop cutting-edge AI technologies, indicating a shift towards self-sufficiency in AI innovation [6] Group 4: Challenges and Future Outlook - Despite the rapid growth of AI talent, there are still significant challenges, particularly in foundational technologies like high-end chips [8] - A McKinsey report predicts a shortage of 4 million high-skilled AI talents in China by 2030, emphasizing the need for a balanced approach in talent cultivation, foundational research, and global collaboration [8]

Group 1 - The rise of Chinese AI talent is becoming an undeniable phenomenon in the global tech landscape, with a significant increase in the proportion of top AI talent from Chinese universities [2][5] - In 2019, 27% of top AI talent in the US came from Chinese universities, which increased to 38% by 2022, surpassing the 37% from US universities [2] - Huang Renxun, CEO of Nvidia, noted that 50% of global AI researchers are from China, indicating a major contribution to AI research [2][5] Group 2 - The increase in Chinese AI talent is attributed to educational reforms, corporate innovation, and policy support, transitioning from "follower" to "leader" in AI [2][5] - The number of AI-related programs in Chinese universities has grown significantly, with over 600 institutions offering such programs by 2024 [2] - Companies like DeepSeek demonstrate that local teams in China are capable of independent R&D in top-tier AI technologies [3] Group 3 - The World Intellectual Property Organization reported that since 2017, patent applications in generative AI have increased by over 800%, with China leading in the number of patents [3] - In 2024, 61.5% of newly published generative AI patents originated from China, highlighting its dominance in this field [3] - Beijing is a key hub for AI talent, with a significant number of returnees working in AI and related fields [4] Group 4 - Despite the rapid growth of AI talent in China, challenges remain in foundational technologies, particularly in high-end chips [4] - The overall number of engineers in China is large, but there is a shortage of those with master's degrees, with a projected gap of 4 million high-skilled AI talents by 2030 [5] - Balancing the cultivation of exceptional engineers, breakthroughs in basic research, and global collaboration will be crucial for China's AI talent to take a central role on the world stage [5]

Core Viewpoint - The U.S. Department of Commerce has officially revoked the Biden administration's "AI diffusion" rules and issued a new industry guidance document that imposes stricter export controls on AI chips, particularly targeting Chinese-made advanced computing integrated circuits (ICs) [1][3]. Group 1: Regulatory Changes - The new guidance document explicitly identifies "advanced PRC ICs" as a key term, indicating a shift from complex regulations to direct targeting of Chinese AI chip production [1][3]. - The Bureau of Industry and Security (BIS) has revised its guidance to alert industries about the risks of using advanced computing ICs from China, including specific mention of Huawei Ascend chips [1][3]. - The new guidelines include 11 "transaction behavior warnings" and 7 "due diligence obligations" for chip design companies, manufacturers, and cloud service providers to identify potential indirect transfers of advanced chips to China or other sensitive countries [3][4]. Group 2: Strategic Implications - The U.S. strategy has shifted from "chip generation control" to "country-specific control," focusing on direct competition with China in AI capabilities [3][4]. - The guidance aims to prevent countries from using Chinese high-performance AI chips, with a clear message that non-compliance will lead to significant repercussions [4][5]. - The U.S. is actively promoting its own AI chips to global markets, particularly in the Middle East, to counteract Chinese influence and fill the potential supply gap created by these restrictions [6][10]. Group 3: Market Dynamics - The U.S. is leveraging partnerships with Middle Eastern countries, such as Saudi Arabia, to establish AI infrastructure and secure long-term contracts for advanced GPUs from companies like NVIDIA [8][10]. - The collaboration with Middle Eastern sovereign wealth funds indicates a strategic move to dominate the AI market in that region while excluding Chinese competitors [10][12]. - The emergence of Chinese cloud service providers, such as Alibaba Cloud, poses a challenge to U.S. efforts, as they are gaining traction in international markets with localized AI solutions [12][13].