盘点这座城市的发展图谱，其高质量发展的核心动能愈发清晰：一个由华为、荣耀、比亚迪、中兴等龙 头企业牵引，无数专精特新企业协同的现代化产业集群，正成为城市经济韧性的基石与持续向前的引 擎。尤其在"工业立市、制造业强市"的战略背景下，智能制造已成为观察这座城市产业升级的关键窗 口。 从工业机器人产量实现超四成的高速增长，到人形机器人在真实场景中初步应用，再到一部折叠屏手机 的内部结构件精度被提升至微米级。这些成果的背后，是人工智能（AI）正加速渗透进生产一线，成 为重塑物理世界生产力的核心驱动。在这场深刻的产业变革中，深圳科技企业正通过其在智能制造领域 的探索，为深圳乃至"中国智造"的未来，提供了一个可供观察的样本。 一条高端产业链的"聚"与"变" 产业链上下游的紧密协同，在深圳的智能终端领域表现得尤为突出。一款旗舰产品的诞生，不仅是企业 研发的结晶，更是对整个产业链创新能力的一次整合与检阅。 8月26日，深圳经济特区迎来建立45周年。 国产供应商共享数据，共同提升设备精度。他们与AI协同，共同定义了"新工匠精神"——不再是单纯的 经验传承，知识、数据与创造力的融合。 以荣耀为例，7月初，荣耀在深圳发布其全新折叠 ...

一条高端产业链的"聚"与"变" 产业链上下游的紧密协同，在深圳的智能终端领域表现得尤为突出。一款旗舰产品的诞生，不仅是企业 研发的结晶，更是对整个产业链创新能力的一次整合与检阅。 以荣耀为例，7月初，荣耀在深圳发布其全新折叠旗舰Magic V5。发布会上，CEO李健选择了一种不同 寻常的方式开场，他没有罗列参数，而是分享了几个关于"一毫米"的研发故事。 据悉，在折叠屏铰链的研发中，行业一度面临0.04毫米的精度瓶颈，这已是人类手工技艺的巅峰，难以 满足大规模、高一致性的生产要求。为了突破这一极限，荣耀联合产业链伙伴，从零构建"AI鲁班大模 型"。 8月26日，深圳经济特区迎来建立45周年。 盘点这座城市的发展图谱，其高质量发展的核心动能愈发清晰：一个由华为、荣耀、比亚迪 （002594）、中兴等龙头企业牵引，无数专精特新企业协同的现代化产业集群，正成为城市经济韧性的 基石与持续向前的引擎。尤其在"工业立市、制造业强市"的战略背景下，智能制造已成为观察这座城市 产业升级的关键窗口。 从工业机器人产量实现超四成的高速增长，到人形机器人在真实场景中初步应用，再到一部折叠屏手机 的内部结构件精度被提升至微米级。这些成 ...

产业的崛起，始于作为"大脑"的底层AI技术。深圳元象信息科技有限公司（下称"元象科技"）研发出国 内最大规模的MoE大模型，跻身独角兽行列。这表明，深圳的产业雄心并非仅限于硬件制造，更在于掌 握定义未来的核心算法能力。 元象科技副总裁孔博告诉南都湾财社记者，黄坤明书记此次调研勉励企业保持定力，强化协同，以更大 力度推进研发创新，推动产品进一步强功能、优体验、降成本，大力开拓应用场景。这让我们感到倍感 振奋、倍增信心。 2025年8月12日，广东省委书记黄坤明赴深圳，围绕人工智能与机器人这一前沿产业进行了专题调研。 此行调研目的明确，即关注人工智能与机器人产业的跨越式发展。 深圳的人工智能与机器人产业已经形成"硬实力"支撑。据《深圳市机器人产业发展白皮书（2024）》显 示，2024年深圳机器人产业链总产值首次突破2000亿元大关，达到2012亿元，同比增长12.58%。同 年，深圳在机器人产业领域共发生72起融资事件，占全国近四分之一，位居首位。 此行调研的企业——优必选、越疆科技、乐聚机器人和元象信息科技，覆盖了从底层AI算法、核心零 部件到硬件整机、行业应用等关键环节。这些企业共同构成了一个观察深圳AI与 ...

7月底在上海举行的世界人工智能大会（WAIC）成了深圳企业科技实力的秀场：腾讯带来其全自研云 技术及混元大模型技术底座，荣耀发布首个自研多模态感知大模型MagicGUI，中兴通讯重点展示开放 普惠的智算基座，云天励飞全自研全国产"深界DeepEdge10"系列芯片亮相，乐聚、智平方等机器人企 业开秀新技能……集中展现了深圳全速打造人工智能先锋城市，加快形成新质生产力的亮眼成绩。 近年来，深圳构建支持全面创新体制机制，持续强化企业科技创新主体地位，打造一流创新生态体系。 大企业"顶天立地"，创新企业"开天辟地"，中小企业"铺天盖地"，已成为深圳创新活力的最好写照。 龙头企业跑出"加速度" 今年以来，深圳进一步深入实施创新驱动发展战略，大力推进制造强市建设，持续推进产业转型升级。 在利好政策推动之下，各行业龙头企业主动承重，以科技创新支撑深圳产业高质量发展。 创新是荣耀迈向AI终端生态公司的"底气"。从2016年第一代Magic手机开始，荣耀的AI布局就已经拉 开。从早期的手机AI概念，到推出平台级AI，再到端侧AI的创新和AI智能体的发布与应用落地，始终 走在行业前列。目前，荣耀员工中研发团队占比超70%，每月 ...

Core Viewpoint - The article discusses the competitive dynamics between AI application providers, like Perplexity, and smartphone manufacturers, highlighting the struggle for control over user interaction and data in the AI era [1][4][17]. Group 1: AI Application Providers - Perplexity is attempting to promote its AI browser, Perplexity Comet, by lobbying Android phone brands for pre-installation, aiming to secure a primary entry point for AI interactions [1][4]. - The strategy of pre-installation is seen as a challenge to smartphone manufacturers, who prefer to maintain control over their devices' AI capabilities and user data [3][12]. Group 2: Smartphone Manufacturers - Major smartphone brands, including Xiaomi, OPPO, and Samsung, are developing their own AI models and integrating them into core functionalities, making them reluctant to allow external AI applications to dominate user interactions [8][16]. - Manufacturers view the pre-installation of external AI applications as a threat to their strategic control over user data and experience, which they believe is essential for long-term competitiveness [17][18]. Group 3: Competitive Dynamics - The relationship between AI application providers and smartphone manufacturers is characterized by a complex interplay of competition and cooperation, where both parties seek to leverage their strengths [5][12]. - The article draws parallels between the current situation in the AI mobile sector and the past experiences of car manufacturers with Apple’s CarPlay, emphasizing the importance of controlling user interaction and data [13][16].

Group 1: AI Industry Development - The 2025 World Artificial Intelligence Conference (WAIC) showcased significant advancements in AI applications, marking the transition into a "practical era" of AI technology [1][5] - The demand for computing power is expected to increase dramatically, with predictions of a hundredfold to thousandfold growth in training computing power requirements due to the rapid evolution of AI applications [1][3] - AI models are shifting from a focus on "data + scale" to "self-optimization + multi-modal native integration," facilitating their transition from laboratories to real-world applications [5][6] Group 2: Computing Infrastructure - Companies like Huawei and ZTE presented innovative supernode solutions, with Huawei's "computing power bomb" showcasing a system where 384 cards work collaboratively, significantly enhancing resource utilization [2][3] - The introduction of the LightSphere X supernode by Shanghai Yidian and partners utilizes optical interconnect technology to overcome traditional physical limitations, allowing for dynamic scaling based on computing needs [2][3] - Companies are adapting their computing infrastructure to better meet AI demands, focusing on hardware, data centers, and intelligent scheduling of heterogeneous computing resources [3][4] Group 3: AI Applications and Agents - AI agents are becoming pivotal in various sectors, evolving from tools to "digital employees" capable of performing analysis, execution, and optimization tasks [6][7] - Personal AI applications are emerging, with products like Rokid Glasses enabling users to perform tasks through voice commands, showcasing the integration of AI into everyday life [7][8] - The Galbot robot, developed by Galaxy General, demonstrates advanced capabilities in retail and industrial settings, utilizing a combination of real and synthetic data for training to enhance operational efficiency [8]

Group 1: AI Industry Development - The 2025 World Artificial Intelligence Conference (WAIC) showcased significant advancements in AI applications, marking the transition into a "practical era" of AI technology [1][6] - The demand for computing power is expected to increase dramatically, with predictions of a hundredfold to thousandfold growth in training computing power requirements due to the rapid evolution of AI applications [1][4] - AI foundational models are shifting their core competitiveness from "data + scale" to "self-optimization + multi-modal native integration," facilitating the transition of large models from laboratories to industry [4][5] Group 2: Computing Power Infrastructure - Companies like Huawei and ZTE presented innovative supernode solutions, with Huawei unveiling the Ascend 384 supernode, which enhances resource utilization by allowing 384 cards to work collaboratively as a single computer [2][3] - The introduction of the LightSphere X supernode by Shanghai Yidian and partners utilizes optical interconnect technology to overcome traditional physical limitations, allowing for elastic scaling and reduced deployment costs [2][3] - Companies are adapting to AI demands by developing hardware products, customized data center solutions, and intelligent scheduling platforms for heterogeneous computing [3][4] Group 3: AI Applications and Use Cases - AI agents are becoming pivotal in various sectors, evolving from tools to "digital employees" capable of analysis, execution, and optimization in government, finance, industry, and healthcare [5][6] - The Rokid Glasses, an AI + AR smart eyewear, exemplifies the integration of AI technology into consumer products, enabling users to perform tasks like information retrieval and translation through voice commands [6][7] - The Galbot robot, showcased in a simulated supermarket environment, demonstrates advanced capabilities in product recognition and retrieval, with applications already implemented in retail and industrial settings [7][8]

Core Insights - The article discusses the launch of Honor's self-developed multimodal perception model MagicGUI, which aims to enhance user interaction in various scenarios and is a key part of the company's Alpha Strategy [1][3] - Honor plans to invest over $10 billion in the next five years to build an open and collaborative AI terminal ecosystem, emphasizing the integration of AI elements to create innovative user experiences [3][4] Group 1: MagicGUI and AI Integration - MagicGUI features 7 billion parameters and matches state-of-the-art model performance, serving as a pivotal element in Honor's strategy to integrate AI into everyday life [1][4] - The model has been developed in collaboration with Fudan University, focusing on natural language processing and multimodal AI technologies, which enhances its capabilities in understanding and executing user commands [4][5] Group 2: Alpha Strategy and Ecosystem Development - Honor's Alpha Strategy aims to create a robust AI ecosystem by integrating resources such as chips, algorithms, and data, which will support various applications and services [3][4] - The company is fostering partnerships with nearly 100 universities and research institutions to drive innovation and establish joint laboratories, enhancing its research and development capabilities [5] Group 3: Open Innovation and Global Impact - The open-sourcing of MagicGUI is intended to lower the barriers for developers, enabling them to create diverse applications and promoting a shift from homogeneous competition to personalized AI solutions [5][6] - Honor's approach to open innovation is seen as a way to enhance China's influence in the global AI landscape, showcasing the country's capability to set industry standards [5][6]

Core Insights - Honor officially launched the MagicGUI self-developed multimodal perception model during the 2025 World Artificial Intelligence Conference (WAIC) [1] - The MagicGUI model features a parameter scale of 7 billion, supporting multimodal perception and automatic execution planning capabilities [1] - The model has achieved industry-leading performance in various tasks, including visual positioning, page understanding Q&A, single-step operation, and action sequence execution [1] Company Highlights - The MagicGUI model is the first open-source GUI large model introduced by Honor [1] - The model's accuracy in common scenarios with the Honor Magic V5 reached 91.5%, which is a 16.4% improvement over top industry open-source models [1] - The launch of this model is expected to accelerate the application of AI in the smartphone sector [1] Industry Context - The evaluation results indicate that the MagicGUI model outperforms competitors in mobile visual positioning and other key tasks [1] - The advancements in AI capabilities showcased by Honor may set new benchmarks for the industry [1]