量子AI蓝图 · WAIC务实转型

一、 权威必看

EN: The 2026 World Artificial Intelligence Conference (WAIC) has officially opened in Shanghai, marking a significant shift in the industry’s narrative. The event is no longer just about showcasing raw model parameters but focuses on how AI can become a sustainable productive force in daily life and production. Exhibitors are demonstrating practical applications, such as intelligent agents that serve as “partners” in workflows and new hardware terminals like AI glasses and earbuds.

中： 2026世界人工智能大会（WAIC）于上海开幕，标志着行业叙事从单纯展示模型参数向强调AI作为可持续生产力转变。现场参展商不再仅比拼算力规模，而是聚焦于如何让机器人和AI真正进入生产生活场景。从成为工作“搭子”的智能体应用，到智能眼镜、耳机等新型交互终端，WAIC展示了AI深度嵌入行业生产与日常生活的务实路径，反映出技术落地已成为当前产业发展的核心导向。

二、 深度与多元

EN: A critical observation from the WAIC floor is the migration of attention from large language models to AI Agents. Data from the tech think tank Jiazi Guangnian indicates that among 130 exhibitors in the Large Model and Generative AI track, 83 (approximately 63.8%) have adopted “AI Agent” as their primary label. This structural change signifies that the industry has moved past the parameter competition phase to directly address scenario-based needs, with 132 entities covering 17细分 directions in industry applications.

中： WAIC现场最深刻的观察在于行业重心的迁移：从大语言模型转向AI智能体（Agent）。据科技智库甲子光年统计，在大模型与生成式AI赛道的130家参展主体中，有83家（约占63.8%）将“AI Agent”作为主要标签。这一数据表明，行业已彻底告别参数规模的军备竞赛，转而直接面向场景需求。132家企业覆盖17个细分方向，意味着AI正在从通用的“模型能力”竞争，演变为垂直领域“解决实际问题”的价值竞争，技术红利正加速转化为具体的商业与社会价值。

三、 科技与财经

EN: Turing Award winner Yao Qizhi delivered a keynote at the “Thinkers Forum” during WAIC, titled “The Power and Limitations of Artificial Intelligence.” He argued that while AI’s power stems from learning from data rather than hard-coded algorithms, its underlying essence remains a Turing machine enhanced with datasets. Consequently, it cannot solve the Halting Problem or bypass rigid boundaries in mathematics and physics. Yao envisions a future where “AI for Science” evolves into “Quantum AI,” providing humanity with entirely new cognitive tools over the next 5-10 years.

中： 图灵奖得主姚期智在WAIC“思想者论坛”发表题为《人工智能的威力及其局限》的演讲，深入剖析了AI的底层逻辑。他指出，尽管AI通过“从数据中学习”实现了突破，但其本质仍是增强数据集的图灵机，无法解决停机问题或逾越数学与物理的刚性边界。姚期智描绘了一幅从“AI for Science”走向“Quantum AI（量子人工智能）”的蓝图，预测在未来5-10年内，量子AI将作为全新的认知工具登场，彻底改变科学研究的范式。这一观点为当前狂热的AI应用热潮提供了冷静的理论锚点，强调了基础理论与前沿探索的重要性。

四、 国际视野

EN: Global perspectives on AI ethics and public health are converging. On the ethical front, discussions around DeepMind’s early days highlight the tension between capital, politics, and who decides what AI “believes.” Meanwhile, in public health, Ars Technica reports that as mosquito ranges expand due to climate change, better monitoring is key to preventing disease outbreaks. This requires labor-intensive efforts but is crucial for stopping epidemics before they spread.

中： 全球视野下的AI伦理与公共卫生议题正呈现交汇态势。在伦理层面，围绕DeepMind早期历史的讨论揭示了资本、政治与AI价值观决策之间的复杂张力，引发了关于“谁有权决定AI信念”的深层思考。与此同时，公共卫生领域面临新的挑战：随着气候变化导致蚊虫活动范围扩大，加强疾病监测成为预防疫情爆发的关键。尽管监测工作昂贵且劳动密集，但它是公共卫生官员阻止疫情扩散的必要手段。这两者共同指向一个核心问题：技术发展的边界与社会责任如何平衡。

五、 青年与生活

EN: In the tech community, developers are exploring practical implementations of AI agents. A recent article on Juejin details a complete implementation using SERP API and Claude function calling, moving from tool use to full agent capabilities. It emphasizes handling real-time data queries that cannot be answered by training data alone. Additionally, at WAIC, actor Huang Xiaoming shared his perspective on AI in film, stating that emotional and “anti-normal” performances are irreplaceable by AI, urging practitioners to embrace but also critically evaluate AI tools.

中： 在技术社区，开发者正积极探索AI智能体的工程落地。掘金平台的一篇教程详细展示了结合SERP API与Claude函数调用的完整实现方案，解决了仅靠训练数据无法回答实时查询的痛点，实现了从工具调用到智能体决策的跨越。与此同时，演员黄晓明在WAIC现场分享了其对AI与影视创作的看法，强调情感表达与“反常态”表演是AI无法替代的核心价值，并呼吁从业者学习并合理利用AI。这反映了青年群体在技术狂热中保持理性审视的态度：既拥抱工具效率，又坚守人类创造力的独特性。

【21ZHAO 综合判断】

EN: The convergence of theoretical limits (Yao Qizhi) and practical application (WAIC Agents) suggests a maturation phase for AI. Developers should focus on specific evaluation functions rather than generic models.

• Implement client-side evaluators for code optimization to ensure data privacy, as seen with Google’s AlphaEvolve.
• Integrate real-time data tools (like SERP APIs) into agents to overcome the static knowledge cutoff of LLMs.

中： 理论边界（姚期智的量子AI与图灵机局限）与实践落地（WAIC的Agent转型）的交汇，表明AI产业已进入成熟期。开发者应从追求通用模型转向解决具体场景问题，注重数据隐私与实时性。

• 在代码优化等敏感场景中，采用客户端评估机制（如Google AlphaEvolve模式），确保数据不出域，保障企业级安全。
• 为智能体集成实时数据工具（如SERP API），突破大语言模型静态知识截止的瓶颈，提升其在动态环境中的决策准确性。

参考来源

• 权威要闻：当AI连毛孔都在演戏，真人演员怎么办？黄晓明：情感与“反常态”表演是不可替代的 - 澎湃新闻
• 深度解读：人工智能换了一种“打开方式”|WAIC观察 - 财联社
• 科技财经：姚期智：如果未来5-10年量子AI登场，人类将获得全新的认知工具 - 澎湃新闻
• 国际视野：诊疗方案与病历书写两大赛道，全国上百支队伍在沪比拼AI临床应用 - 澎湃新闻
• 青年声音：Google’s AlphaEvolve Reaches General Availability with Evolutionary Code Optimization as a Service - InfoQ
• 权威要闻：预计未来三天有持续性强降雨，广西启动防汛四级应急响应 - 澎湃新闻
• 深度解读：As mosquito ranges expand, better monitoring is key to preventing disease - Ars Technica
• 科技财经：重庆市委书记：抢抓“黄金窗口期”，全力以赴做好抢险救援工作 - 澎湃新闻
• 国际视野：当资本与政治争夺AI，谁有权决定它相信什么？ - 虎嗅
• 青年声音：SERP API + Claude function calling:从 tool use 到 agent 的完整实现 - 掘金