汽车研发有了AI算法工程师，百度"超级智能体"再上新。 以汽车研发中极具挑战的风阻预测为例，传统模式高度依赖求解复杂的N−S（Navier-Stokes）偏微分方程，单次气动验证耗时长达10h（CPU），设计师在 长周期试错中，如同在"开盲盒"。 而百度伐谋通过其"自我演化"的算法引擎，配合亚洲领先的独立汽车设计科技公司阿尔特的真实工程数据，成功将这一过程缩短至分钟级，实现了从"人 工试错"到"自主演化"的跨越。 作者 | Janson 编辑 | 志豪 日前，工信部下发两张L3级自动驾驶准入牌照，各个地区也加快了L3试点与路测标准的落地，由AI驱动的汽车智能化竞争正式进入实质性的代际跨越阶 段。 然而，AI对产业的重构并不止于行驶过程中的"智驾"和"智舱"，其触角已深入更上游、更复杂的研发设计环节。 当下，智能化正加速从"车内"走向"产线"，深度参与AI定义汽车，触及汽车工业最核心的生产力。 这种转型的基础上，车企在选择AI伙伴时的逻辑也发生了根本性偏移。 面对需要深度介入底层物理计算、算法自主进化的研发环节，零散的功能方案已难以为继。 助力汽车研发，只是超级智能体"百度伐谋"落地的一个切面。在刚刚举行的百度 ...

本报讯(记者袁传玺)12月25日，在百度AI Day活动上，百度公布超级智能体百度伐谋的最新进展：发布 一个月以来，已有超2000家企业申请试用，覆盖物流、制造、AI4S等领域，帮助上述行业客户高效探 寻全局最优解。会上，百度伐谋还宣布围绕通用性、生产级、持续性等方向进行产品能力升级，并正式 发布"同舟生态伙伴计划"，面向高校实验室及行业软件企业开放核心能力，以生态共创的方式加速推进 AI进产业。 百度伐谋是百度智能云推出的全球领先的可商用自我演化超级智能体。它通过大语言模型的推理能力与 大规模进化搜索技术，模拟生物界几亿年的进化过程并压缩至几天甚至几小时，从而发现过去人类从未 发现过的全局最优解，还能根据条件变化自动迭代，给出最优的动态方案。 基于此前的应用实践，百度伐谋也进一步面向通用性、生产级、持续性进行了产品升级，加速企业研发 和高校科研方向的创新探索和落地实践。 为了进一步加速AI在千行百业的渗透，让顶尖算法工程师将成为企业和科研标配，百度伐谋正式发 布"同舟生态伙伴计划"，面向高校实验室、行业软件企业，开放高质量行业场景与课题，共享伐谋 Agent系统及算法优化引擎，并提供AI协作培训与个性化服务 ...

此前，百度伐谋被李彦宏介绍为"全球首个可商用的自我演化超级智能体"，称伐谋的核心技术理念借鉴 自进化算法。本次数据公布，百度方面表示，百度伐谋也进一步面向通用性、生产级、持续性进行了产 品升级，加速企业研发和高校科研方向的创新探索和落地实践。 新京报贝壳财经讯（记者罗亦丹）继李彦宏在百度世界大会上推出toB新品"百度伐谋"一个多月之后， 12月25日，百度公布了这款被李彦宏寄予厚望的前沿产品的最新数据：发布一个月以来有超2000家企业 申请试用，覆盖物流、制造、AI4S等领域。 百度伐谋负责人李安南介绍，自11月发布以来，伐谋和超2000家企业进行场景共创，涌现出包括农业货 运规划、高校AI4S课题攻关、制造业排产优化及基础求解器策略寻优等大量创新场景。 例如在前沿科研领域，北京工业大学苗扬副教授团队利用伐谋优化中国空间站"微型电子鼻"色谱仪中色 谱柱的设计，利用伐谋进行自动化寻优，科研团队成功演化出了体积更小、排布更紧密的构型设计和排 布方式，大幅提升了气体分离效率。此外，在PEM电解槽制氢系统中，伐谋仅耗时30分钟就进化出的 新模型，比原论文模型正确率提升了2.78% ，将科研探索周期从"周级"缩短至"小 ...

基于此前的应用实践，百度伐谋也进一步面向通用性、生产级、持续性进行了产品升级，加速企业研发 和高校科研方向的创新探索和落地实践。 在通用性方面，针对过去算法优化中需求描述难、评估器编写门槛高的问题，百度伐谋全新发布Web 端、CLI及IDE插件等多种形态的前台Agent，同时支持对话式澄清需求，帮助企业和科研机构在任何场 景都能轻松接入伐谋。 在生产级方面，百度伐谋升级企业级能力保障，全新发布的本地评估方案，通过"云端生成算法+本地 完成评估"架构，让算法在云端生成后下载到客户本地，基于本地业务数据完成评估后，仅需将结果指 标回传云端，打通了业务验证流程的"最后一公里"。 1分钟完成曾需10小时的汽车风阻验证，将数周的科研课题攻关压缩至数小时，十倍级提升科研效 率…… 12月25日，百度公布超级智能体百度伐谋的最新进展：发布一个月以来，已有超2000家企业申请试用， 覆盖物流、制造、AI4S等领域。 会上，百度伐谋宣布围绕通用性、生产级、持续性等方向进行产品能力升级，并发布"同舟生态伙伴计 划"，面向高校实验室及行业软件企业开放核心能力，以生态共创的方式加速推进AI进产业。 百度伐谋是百度智能云推出的全球领先 ...

勇砺商业评论 阿桶观察 曾宪勇 1分钟完成曾需10小时的汽车风阻验证，将数周的科研课题攻关压缩至数小时，十倍级提升科研效 率…… "人工智能正在跨越从'智能涌现'走向创造真实价值的'效果涌现'的新临界点。AI不再仅仅是实验室里的 炫技演示，而是深入产业核心，成为解决实际难题、驱动生产力变革的原生推动力"，百度智能云AI与 大模型平台总经理忻舟在致辞中表示。 百度伐谋负责人李安南介绍，自11月发布以来，伐谋和超2000家企业进行场景共创，涌现出包括农业货 运规划、高校AI4S课题攻关、制造业排产优化及基础求解器策略寻优等大量创新场景。 百度伐谋是百度智能云推出的全球领先的可商用自我演化超级智能体。它通过大语言模型的推理能力与 大规模进化搜索技术，模拟生物界几亿年的进化过程并压缩至几天甚至几小时，从而发现过去人类从未 发现过的全局最优解，还能根据条件变化自动迭代，给出最优的动态方案。 百度创始人李彦宏此前曾表示，中国拥有全球最齐全的工业门类和丰富的应用场景，如果能用先进技术 大幅提升这些场景的效率，对经济增长的贡献将显而易见。正是基于这一愿景，百度伐谋旨在消除产业 发展的"隐形天花板"，将过去锁在少数精英头脑里的 ...

1分钟完成曾需10小时的汽车风阻验证，将数周的科研课题攻关压缩至数小时，十倍级提升科研效 率…… 12月25日，在百度AI Day活动上，百度公布超级智能体百度伐谋的最新进展：发布一个月以来，已有超 2000家企业申请试用，覆盖物流、制造、AI4S等领域，帮助上述行业客户高效探寻全局最优解。会 上，百度伐谋还宣布围绕通用性、生产级、持续性等方向进行产品能力升级，并正式发布"同舟生态伙 伴计划"，面向高校实验室及行业软件企业开放核心能力，以生态共创的方式加速推进AI进产业。 百度伐谋负责人李安南 基于此前的应用实践，百度伐谋也进一步面向通用性、生产级、持续性进行了产品升级，加速企业研发 和高校科研方向的创新探索和落地实践。 百度伐谋是百度智能云推出的全球领先的可商用自我演化超级智能体。它通过大语言模型的推理能力与 大规模进化搜索技术，模拟生物界几亿年的进化过程并压缩至几天甚至几小时，从而发现过去人类从未 发现过的全局最优解，还能根据条件变化自动迭代，给出最优的动态方案。 百度创始人李彦宏此前曾表示，中国拥有全球最齐全的工业门类和丰富的应用场景，如果能用先进技术 大幅提升这些场景的效率，对经济增长的贡献将显而易见 ...

Core Viewpoint - The AI industry is experiencing a dual narrative in 2025, with a significant market correction in global tech stocks while the AI agent sector is witnessing explosive growth, particularly in China, where the market size is projected to increase from 4.75 billion yuan in 2024 to 7.84 billion yuan, representing over 60% growth [1][6]. Group 1: Evolution of AI Agents - AI agents are defined as software programs capable of autonomously understanding, planning, and executing complex tasks, fundamentally differing from traditional AI assistants [2]. - The emergence of AI agents is a result of technological advancements, transitioning from early models that were primarily for demonstration to sophisticated systems capable of logical reasoning and multi-modal understanding [3][4]. - The core value of this evolution is transforming intelligence from a cost into a productivity driver, as articulated by industry leaders [5]. Group 2: Major Investments and Market Dynamics - The growth of AI agents is fueled by strategic investments from global tech giants, which are based on clear commercial return expectations, creating a positive cycle of research, implementation, and profitability [6]. - Companies like Baidu and Tencent are leading the charge with innovative AI solutions, such as Baidu's self-evolving AI agent and Tencent's integration within its WeChat ecosystem [7]. - The commercial value of AI agents is evident across various sectors, including healthcare, retail, and finance, where they are significantly enhancing operational efficiency and reducing costs [8]. Group 3: Underlying Factors for Growth - The rapid growth of AI agents is attributed to the convergence of technological maturity, rising demand, and an improved ecosystem [9]. - Breakthroughs in technology have drastically reduced the cost of large model inference by 90% and increased speed by tenfold, addressing previous scalability issues [10]. - The pressing need for cost reduction and efficiency in businesses drives the adoption of AI agents, which offer non-intrusive solutions that integrate seamlessly with existing systems [11]. Group 4: Future Outlook - The future of AI agents is expected to shift from scaling to refinement, ushering in a new era of human-machine collaboration, with predictions indicating that 60% of enterprises will rely on AI agents for core operations by 2026 [12]. - Despite existing challenges such as communication delays and talent shortages, the evolution of AI agents is seen as a necessary phase in technological advancement, distinguishing them from past speculative bubbles [13].

Real Estate - Jack Ma's wife, Zhang Ying, purchased a London mansion for £19.5 million (approximately 180 million RMB), expanding the Ma family's overseas real estate portfolio [2] Technology and AI - Baidu launched the world's first commercially available "self-evolving" superintelligent agent, Baidu Famo, aimed at finding "globally optimal solutions" in various industries including transportation, energy, finance, logistics, and drug development [3] - Alibaba has reportedly initiated a secret project named "Qianwen" to develop a personal AI assistant app, positioning it as a competitor to ChatGPT [11] - Li Feifei, a prominent AI figure, announced the launch of her company's first commercial world model, Marble, which creates high-fidelity 3D worlds from images, videos, or text prompts [12] - Huawei is set to release a significant AI technology that could enhance GPU utilization rates from the industry average of 30%-40% to 70% [12] - Meituan's first AI IDE product, CatPaw, has entered public testing, featuring intelligent programming capabilities [13] Automotive - Li Auto is holding internal accountability for two quality incidents involving the 2024 MEGA and 2025 L series vehicles, identifying multiple responsible parties [5][6] - Chery Automobile issued an apology following an incident during a vehicle challenge at Tianmen Mountain, where a car slipped and damaged barriers [8] - JD Logistics appointed Wang Zhenhui as CEO, succeeding Hu Wei, effective November 13, 2025 [8] E-commerce - Taobao registered the copyright for "Taobao Convenience Store" and has applied for the trademark, indicating a new retail initiative [9] - Vipshop is reportedly considering a Hong Kong listing as early as next year, aiming to broaden its investor base [15] Investment and Financing - Wujie Power completed a 300 million RMB angel financing round, with participation from several prominent investment firms [16] - Luckin Coffee is preparing for a relisting in the U.S. after recovering from a previous scandal, now surpassing Starbucks in China [15]

Core Insights - Baidu's third-quarter financial report reveals a significant growth in AI business revenue, marking a transition from investment to commercialization phase [1][3] - The AI revenue is approaching 10 billion, with notable contributions from AI cloud, AI applications, and AI native online marketing services [1][4] AI Revenue Breakdown - AI cloud revenue grew by 33% year-on-year, with high-performance computing subscription revenue increasing by 128% [4] - AI applications generated 2.6 billion, while AI native marketing services revenue surged by 262% to 2.8 billion [4] - Baidu's AI cloud holds a 24.6% market share, maintaining the top position in China's AI public cloud market for six consecutive years [4] Strategic Developments - Baidu's AI strategy is supported by a comprehensive ecosystem and deep technological expertise, positioning the company for accelerated commercial value release [3][9] - The company has launched several AI applications, including GenFlow 3.0 and Baidu Famo, which have attracted significant user engagement [5][9] Market Position and Competitiveness - Baidu is recognized as one of the few companies providing a full-stack AI service, which enhances its ability to deliver efficient and cost-effective solutions [7][9] - The company has made significant advancements in AI chip technology, with its Kunlun chip being selected for major projects, indicating strong market validation [7][8] Stock Performance and Valuation - Baidu's stock has seen substantial increases, with Hong Kong shares rising by 37% and U.S. shares by 35% since the beginning of 2025 [10] - Analysts believe that Baidu's valuation has room for growth compared to global peers like Google, especially in the rapidly expanding Robotaxi market [10][11] Future Outlook - The potential for Baidu's AI digital employees and intelligent agents to reshape traditional advertising models is significant, with new revenue streams emerging [11][12] - Investment firms are optimistic about Baidu's long-term growth potential, raising target prices and maintaining "buy" ratings [14][16]

Core Insights - Baidu has launched the world's first commercially viable self-evolving superintelligence, "Baidu Famou," aimed at helping enterprises find "global optimal solutions" across various industries such as transportation, energy, finance, logistics, and even drug development [1][3] - The concept of Baidu Famou is inspired by "evolutionary algorithms," which simulate millions of years of biological evolution to discover solutions previously unknown to humans [1][3] - AI is recognized as a key variable in enhancing productivity, with the belief that when AI capabilities are internalized, they become a driving force for enterprise growth and personal development [1][3] Industry Applications - In critical industries, even a 1% optimization can yield significant value, often in the millions or billions [2] - Traditionally, solving complex algorithmic problems relied heavily on expert experience, which is time-consuming and inefficient when external conditions change [2] Technical Capabilities - Baidu Famou integrates large model reasoning capabilities, evolutionary computation exploration, and scalable distributed systems, allowing for rapid abstraction of complex problems and model establishment [3] - The system can generate diverse initial solution sets during the "cold start phase" and continuously learn and iterate in the "evolution phase," providing dynamic optimal solutions [3][4] New Paradigm - Baidu Famou introduces a new paradigm where human experts define tasks while the intelligent agent continuously seeks optimization, allowing experts to focus on creative work [5] Performance Validation - Baidu Famou has demonstrated its capabilities in various international benchmarks, achieving up to 20 times performance improvement in CUDA Kernel optimization tests and leading results in machine learning engineering benchmarks [6][8] Industry Case Studies - In offshore wind power, Baidu Famou optimized cable layout designs, significantly reducing project delivery time [11] - In financial risk control, it improved feature extraction efficiency by 100% and enhanced risk differentiation by 2.41% for a bank [12] - In traffic management, it reduced average vehicle delays by 13% and further by 5% through AI-controlled traffic light timing [13] - In port scheduling, it optimized equipment planning and scheduling, creating annual energy savings in the logistics sector [14][15] Collaboration and Future Prospects - Baidu Famou is now open for collaboration with large enterprises and ecosystem partners to tackle national industry challenges and unlock significant value through AI [15]