[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f-4Bh0K16Irm1VcuSkZCq81V4Lvzv48-kDRtOu4kdBHg":3},{"code":4,"msg":5,"data":6},200,"操作成功",{"id":7,"title":8,"content":9,"digest":10,"source":10,"coverPath":11,"thumbsCoverPath":12,"isTop":13,"isShow":14,"baseClick":13,"clickCount":15,"createTime":16,"typeId":17,"isNewest":18,"newsInfoTypeRespVo":19,"voiceUrl":22,"voiceSize":23,"taskId":24,"releaseTime":25,"titleEn":26,"contentEn":27,"voiceUrlEn":28,"taskIdEn":29,"voiceSizeEn":30},1503,"硅谷人工智能研究院院长皮埃罗·斯加鲁菲：2025年AI智能体将重塑数字劳动力","\u003Cp>\u003Cstrong style=\"font-size: 18px; color: rgb(255, 153, 0);\">12月9日，由中关村科金和甲子光年联合主办的“超级连接·智见未来” EVOLVE 2025 大模型与智能体产业创新峰会在北京盛大召开。现场，中关村科金首次公开企业级智能体落地路线图，并发布“3+2+2”智能体产品矩阵，包括大模型平台、AI能力平台、AI数据平台三大基础平台，智能客户平台、智能工作应用平台两大通用场景应用平台，以及金融和工业两大行业智能体平台，助力企业快速开发智能体，用好智能体。在峰会的核心成果发布环节，中关村科金联合华为云、阿里云、百度智能云、火山引擎、亚马逊云科技、超聚变、软通动力等企业共同发布“超级连接”全球生态伙伴计划，携手打造开放、连接、可持续的“人工智能+”产业生态圈。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F12\u002F4df53c40348146db99b0962117856fcb\u002F图片1.png\" width=\"431\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">会上，硅谷人工智能研究院院长、创始人Piero Scaruffi（皮埃罗·斯加鲁菲）发表主题演讲，系统阐述了2025年生成式AI的发展趋势，并重点探讨了AI智能体如何从\"副驾驶\"进化为\"自动驾驶仪\"，构建全新的数字劳动力体系。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\"> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">硅谷人工智能研究院院长皮埃罗·斯加鲁菲：2025年AI智能体将重塑数字劳动力\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\">技术融合催生新范式\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Piero Scaruffi在演讲中表示，2025年生成式AI呈现出明显的技术融合趋势。扩散Transformer将扩散模型与Transformer结合，小型语言模型降低了应用门槛，多模态能力成为标配，思维链、专家混合、蒸馏等新技术不断涌现。他特别提到DeepSeek作为工程成就的典范，首次将这些技术整合到单一模型中。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">在谈及世界模型时，Piero强调了三维理解的重要性。他解释道，语言模型是一维预测器，图像模型是二维预测器，但真实世界是三维的。李飞飞创立的World Labs以及Meta首席AI科学家Yann LeCun的探索，都指向同一个目标：让机器人真正理解并自然地与世界互动。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\">从副驾驶到自动驾驶\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">演讲的核心聚焦于AI智能体的崛起，Piero用生动的比喻区分了两代AI产品：传统的ChatGPT更像副驾驶，帮助人类完成任务；而真正的AI智能体则是自动驾驶，能够自主完成完整的多步骤工作流，无需人类干预。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">他描绘了一个具体场景：AI智能体可以从市场调研开始，设计产品，决定采购方案，向工厂发送规格说明，生成营销材料，培训销售团队，最后提供客户支持。整个流程在后台自动运行，人类只需等待结果交付。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Piero将这种能力的运作机制概括为\"感知-决策-行动-学习\"的循环，它突破了传统脚本系统的限制，能够应对环境的各种变化。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\">智能体编排构建数字社会\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">当应用程序演变为多智能体系统时，新的挑战随之而来：如何编排它们？Piero介绍了当前正在形成的新技术栈——从硬件层、云服务层，到语言模型层，再到LangChain等编排层，最终构成协同工作的智能体应用。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">他特别强调了\"上下文工程\"的概念，区别于传统的提示工程。智能体需要深刻理解组织的完整信息、结构和真正目标，而不仅仅是执行单一任务。这种群体智能可以动态组建团队，随时形成也随时解散。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Piero提出了评估智能体的关键指标：准确性、效率、稳定性、用户体验、适应性，以及通过强化学习实现的自我提升能力和长期保持上下文的自我监控能力。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\">行业应用全面开花\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">在应用层面，Piero列举了多个领域的创新实践。在客户支持领域，他直言当前的客服体验常让人烦躁，传统聊天机器人往往听不懂问题、答非所问。真正的智能客服应该能够理解问题和上下文，识别客户情绪，了解整个组织架构，知道谁掌握答案、去哪里找信息。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">江森自控为10万名员工打造了集成所有手册和技术笔记的AI系统，相当于最优秀工程师的集合体，技术人员可以远程使用，也用于培训新员工，在维护和故障排查方面效率大幅提升。Strategy公司使用AI设计的金融产品Stretch创造了今年美国股票发行中最大的IPO。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Piero认为，真正体现生成式AI价值的应用应该是\"生成\"出原本不存在的东西，而不仅仅是分析和预测。在旅游业，AI可以通过分析用户社交媒体照片了解其偏好，提供比传统旅行社更精准的个性化行程。AlphaFold获得诺贝尔奖则证明，AI能够完成人类科学家无法做到的事情，加速各类科学研究。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\">Waymo效应：信任正在建立\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Piero还提出了\"Waymo效应\"的概念——随着谷歌自动驾驶汽车在旧金山街头越来越普及，人们对AI的信任正在快速提升。这种信任的建立，为AI智能体的广泛应用奠定了社会基础。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">演讲最后，皮埃罗分享了他对AI未来的愿景。他认为，真正的世界不是一个无所不知的\"神\"般的AI，而是由多个智能体围坐在桌旁的动态协作群体。这些智能体会彼此交换信息、相互协作，就像人类社会一样共同达成目标，而人类也会作为协作链条的一部分参与其中。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(136, 136, 136);\">【新闻来源】金融界财经 \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.msn.cn\u002Fzh-cn\u002Fnews\u002Fother\u002Far-AA1RTDQy?ocid=BingHp01&cvid=6936317f054647a2afcd53fafcde084a&ei\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(136, 136, 136);\"> \u003C\u002Fa>\u003Ca href=\"https:\u002F\u002Fwww.msn.cn\u002Fzh-cn\u002Fnews\u002Fother\u002Far-AA1RZbbB?ocid=msedgntphdr&cvid=6938c776403b4e2c83ca73876f5afd3d&ei=82\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(136, 136, 136);\">\u003Cu>https:\u002F\u002Fwww.msn.cn\u002Fzh-cn\u002Fnews\u002Fother\u002Far-AA1RZbbB?ocid=msedgntphdr&cvid=6938c776403b4e2c83ca73876f5afd3d&ei=82\u003C\u002Fu>\u003C\u002Fa>\u003Cspan style=\"color: rgb(136, 136, 136);\"> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(136, 136, 136);\">（本网转发此文章，旨在为读者提供更多的信息资讯，所涉内容不构成投资、消费建议。文章事实如有疑问，请与有关方核实，文章观点非本网观点，仅供读者参考。）\u003C\u002Fspan>\u003C\u002Fp>","","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F12\u002F7eff99939767426a88ada778c639f478\u002Fd3ceb214-e320-4d27-b9ff-62bd5ab11fa0.jpg","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F12\u002Fthumbs\u002F7eff99939767426a88ada778c639f478\u002Fd3ceb214-e320-4d27-b9ff-62bd5ab11fa0.jpg",0,1,88,"2025-12-11 16:50",2,false,{"id":17,"name":20,"enName":21},"芯位视野","Xinwei Vision","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3A7596f342-ee93-4509-8f27-7a31d27842b4%3A0.wav?Expires=1765513154&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=9VjhtmkfDUtQp2kDkto%2B4TpADGA%3D",9885460,"7596f342-ee93-4509-8f27-7a31d27842b4","2025-12-11 16:45","Piero Scaruffi, Director of the Silicon Valley Institute of Artificial Intelligence: AI agents will reshape digital labor in 2025","\u003Cp>\u003Cstrong style=\"font-size: 18px; color: rgb(255, 153, 0);\">On December 9th, the \"Super Connection · Vision for the Future\" EVOLVE 2025 Large Model and Intelligent Agent Industry Innovation Summit, jointly hosted by Zhongguancun Kejin and Zijie Guangnian, was held in Beijing. At the event, Zhongguancun Kejin publicly disclosed its enterprise-level intelligent agent deployment roadmap for the first time and released a \"3+2+2\" intelligent agent product matrix, including three basic platforms: large model platform, AI capability platform, and AI data platform; two general scenario application platforms: intelligent customer platform and intelligent work application platform; and two industry-specific intelligent agent platforms: finance and industrial. This helps enterprises quickly develop intelligent agents and use them effectively. In the core achievement release session of the summit, Zhongguancun Kejin jointly launched the \"Super Connection\" global ecosystem partner plan with companies such as Huawei Cloud, Alibaba Cloud, Baidu Intelligent Cloud, Volcano Engine, Amazon Web Services, Chaoju Bi, and Softcom, to jointly build an open, connected, and sustainable \"AI+\" industry ecosystem.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cimg alt=\"undefined\" src=\"https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F12\u002F4df53c40348146db99b0962117856fcb\u002F图片1.png\" width=\"431\" height=\"undefined\" style=\"display: block; margin: auto;\">\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">At the meeting, Piero Scaruffi, President and founder of the Silicon Valley Institute of Artificial Intelligence, delivered a keynote speech, systematically elaborating on the development trends of generative AI in 2025, and focusing on how AI agents can evolve from \"co-pilot\" to \"autopilot\", building a new digital labor system.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\"> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">President of the Silicon Valley Institute of Artificial Intelligence, Piero Scaruffi: AI agents will reshape digital labor in 2025\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\">Technological convergence gives rise to new paradigms\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Piero Scaruffi stated in his speech that generative AI showed obvious technological convergence trends in 2025. Diffusion Transformers combined diffusion models with Transformers, small language models lowered the application threshold, multimodal capabilities became standard, and new technologies such as thinking chains, expert mixtures, and distillation continued to emerge. He specifically mentioned DeepSeek as a model of engineering achievements, which first integrated these technologies into a single model.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">When discussing world models, Piero emphasized the importance of three-dimensional understanding. He explained that language models are one-dimensional predictors, image models are two-dimensional predictors, but the real world is three-dimensional. The explorations by World Labs founded by Fei-Fei Li and Yann LeCun, Chief AI Scientist at Meta, both point to the same goal: allowing robots to truly understand and interact naturally with the world.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\">From Co-pilot to Autopilot\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">The core of the speech focused on the rise of AI agents. Piero used vivid metaphors to distinguish between two generations of AI products: traditional ChatGPT is more like a co-pilot, helping humans complete tasks; while true AI agents are autopilots, capable of independently completing complete multi-step workflows without human intervention.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">He described a specific scenario: AI agents could start with market research, design products, decide on procurement plans, send specifications to factories, generate marketing materials, train sales teams, and finally provide customer support. The entire process runs automatically in the background, and humans just need to wait for the results.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Piero summarized the operational mechanism of this capability as a \"perception-decision-action-learning\" cycle, which breaks through the limitations of traditional script systems and can cope with various changes in the environment.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\">Intelligent Agent Orchestration Builds Digital Society\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">When applications evolve into multi-agent systems, new challenges arise: how to orchestrate them? Piero introduced the emerging technology stack currently forming—starting from the hardware layer, cloud service layer, language model layer, to orchestration layers such as LangChain, ultimately forming collaborative intelligent agent applications.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">He particularly emphasized the concept of \"context engineering,\" differentiating it from traditional prompt engineering. Intelligent agents need to deeply understand the complete information, structure, and true goals of the organization, not just perform single tasks. This collective intelligence can dynamically form teams, forming and dissolving at any time.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Piero proposed key metrics for evaluating intelligent agents: accuracy, efficiency, stability, user experience, adaptability, as well as self-improvement capabilities achieved through reinforcement learning and self-monitoring capabilities that maintain context over the long term.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\">Comprehensive Expansion in Industry Applications\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">In terms of application, Piero listed innovative practices in multiple fields. In customer support, he frankly said that current customer service experiences often annoy people, and traditional chatbots often fail to understand questions or answer irrelevantly. True intelligent customer service should be able to understand questions and context, identify customer emotions, understand the entire organizational structure, know who has the answers and where to find information.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Johnson Controls created an AI system for 100,000 employees that integrates all manuals and technical notes, equivalent to the collective of the best engineers. Technical personnel can use it remotely and also use it for training new employees, significantly improving efficiency in maintenance and troubleshooting. Strategy Company's financial product Stretch, designed by AI, created the largest IPO in US stock offerings this year.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Piero believes that the application that truly demonstrates the value of generative AI should \"generate\" things that did not exist before, rather than merely analyzing and predicting. In tourism, AI can understand users' preferences by analyzing their social media photos and provide more accurate personalized itineraries than traditional travel agencies. AlphaFold winning the Nobel Prize proves that AI can accomplish tasks that human scientists cannot, accelerating various scientific researches.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-size: 18px;\">Waymo Effect: Trust Is Being Built\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">Piero also introduced the concept of the \"Waymo effect\"—as Google's autonomous vehicles become increasingly common on the streets of San Francisco, trust in AI is rapidly increasing. This trust-building provides a social foundation for the widespread application of AI agents.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\">In his closing remarks, Piero shared his vision for the future of AI. He believes that the true world is not a god-like AI that knows everything, but a dynamic collaborative group of multiple intelligent agents sitting around a table. These agents exchange information and collaborate with each other, just like human society, to achieve common goals, and humans will also participate as part of the collaboration chain.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(136, 136, 136);\">[News Source] Jijin Finance \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.msn.cn\u002Fzh-cn\u002Fnews\u002Fother\u002Far-AA1RTDQy?ocid=BingHp01&cvid=6936317f054647a2afcd53fafcde084a&ei\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(136, 136, 136);\"> \u003C\u002Fa>\u003Ca href=\"https:\u002F\u002Fwww.msn.cn\u002Fzh-cn\u002Fnews\u002Fother\u002Far-AA1RZbbB?ocid=msedgntphdr&cvid=6938c776403b4e2c83ca73876f5afd3d&ei=82\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(136, 136, 136);\">\u003Cu>https:\u002F\u002Fwww.msn.cn\u002Fzh-cn\u002Fnews\u002Fother\u002Far-AA1RZbbB?ocid=msedgntphdr&cvid=6938c776403b4e2c83ca73876f5afd3d&ei=82\u003C\u002Fu>\u003C\u002Fa>\u003Cspan style=\"color: rgb(136, 136, 136);\"> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(136, 136, 136);\">（This article is forwarded by this website to provide readers with more information and news. The content involved does not constitute investment or consumption advice. If there are facts in the article that you doubt, please verify with the relevant parties. The views in the article are not the views of this website, and are for reference only.）\u003C\u002Fspan>\u003C\u002Fp>","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3A0e74dcbd-ff39-41cc-b96e-135cdcbf1d48%3A0.wav?Expires=1774838444&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=DL3vQlVjTXDeY1SNhJR2aeXKQc4%3D","0e74dcbd-ff39-41cc-b96e-135cdcbf1d48",13404700]