智通财经APP获悉，据媒体报道，阿里巴巴(09988)旗下高德地图已布局世界模型，并计划基于世界模型 推出一项新的产品应用。该模型目前已在空间智能评测基准WorldScore中，取得多项指标第一的成绩。 此外，报道称，高德内部已成立具身业务部。在招聘平台上，高德放出了具身业务部的多个招聘岗位， 包括具身智能产品专家、数据/算法工程师等方向。 据悉，WorldScore由著名华裔人工智能科学家、斯坦福大学教授李飞飞团队提出，也是首个支持多模态 世界生成模型统一评估的开源基准检验，为目前评估多模态世界生成模型最权威的开源标准，这意味着 高德已具备理解并模拟复杂物理世界规律的顶尖能力。 知情人士透露，高德计划将世界模型作为底层大脑，探索包括人形机器人、机器狗在内的多元化产品形 态，实现从数字导航到实体行动的跨越。 2025年8月，高德宣布全面AI化，全方位转向空间智能，并在同年9月推出了本地生活产品"高德扫街 榜"。这一布局与阿里集团的AI生态紧密联动，近期阿里集团最新AI旗舰应用"千问"已率先接入高德 及"高德扫街榜"，通过空间智能技术大幅提升了本地生活服务的交互体验。 ...

Core Insights - The article posits that 2026 will mark the transition of AI from hype to practical application, focusing on deploying lightweight models in real-world scenarios and integrating AI into human workflows [3][4]. Group 1: AI Development Trends - The industry is shifting from large-scale model expansion to new architectural research, emphasizing targeted deployment and collaboration tools that enhance human work [4]. - Many researchers believe the AI industry is nearing the limits of Scaling Law, indicating a need for new approaches beyond merely increasing model size [9]. - Smaller, fine-tuned language models (SLMs) are expected to become standard tools for mature AI enterprises by 2026 due to their cost and performance advantages [10]. Group 2: World Models and Gaming - 2026 is anticipated to be a pivotal year for world models, which learn how objects interact in three-dimensional space, enabling predictive capabilities [14][15]. - The gaming industry is projected to see significant growth, with the world model market expected to increase from $1.2 billion in 2022 to $276 billion by 2030, driven by the technology's ability to create interactive environments [16]. Group 3: Agent Integration and Automation - The introduction of Model Context Protocol (MCP) is seen as a key development that will facilitate the integration of AI agents with real-world systems, potentially marking 2026 as the year these agents transition from demonstration to practical application [18][19]. - There is a belief that AI will enhance rather than replace human workflows, with new job opportunities emerging in AI governance, transparency, and data management [21]. Group 4: Physical AI and Market Adoption - Advances in small models, world models, and edge computing are expected to drive the adoption of physical AI applications, with wearable devices becoming a cost-effective entry point for consumers [24]. - The market for physical AI, including robotics and autonomous vehicles, is projected to grow, although training and deployment costs remain high [24].

目前，该模型已在空间智能评测基准 WorldScore 中，取得多项指标第一的成绩。WorldScore 由著名华 裔人工智能科学家、斯坦福大学教授李飞飞团队提出，也是首个支持多模态世界生成模型统一评估的开 源基准测试。 此外，高德内部已成立具身业务部。在招聘平台上，高德放出了具身业务部的多个招聘岗位，包括具身 智能产品专家、数据 / 算法工程师等方向。知情人士表示，机器人、机器狗等产品形态都在具身业务部 的探索方向之中。 1 月 5 日上午消息，新浪科技从知情人士处获悉，阿里巴巴旗下高德已布局世界模型，并计划基于世界 模型推出一项新的产品应用。 2025 年 8 月，高德宣布全面 AI 化，全方位转向空间智能。并在同年 9 月推出了本地生活产品高德扫街 榜。近期，阿里集团最新 AI 旗舰应用"千问"首个接入的阿里生态场景即是高德和高德扫街榜。 ...

责任编辑：江钰涵 新浪科技讯 1月5日上午消息，新浪科技从知情人士处独家获悉，阿里巴巴旗下高德已布局世界模型， 并计划基于世界模型推出一项新的产品应用。 目前，该模型已在空间智能评测基准WorldScore中，取得多项指标第一的成绩。WorldScore由著名华裔 人工智能科学家、斯坦福大学教授李飞飞团队提出，也是首个支持多模态世界生成模型统一评估的开源 基准测试。 此外新浪科技还了解到，高德内部已成立具身业务部。在招聘平台上，高德放出了具身业务部的多个招 聘岗位，包括具身智能产品专家、数据/算法工程师等方向。知情人士表示，机器人、机器狗等产品形 态都在具身业务部的探索方向之中。 新浪科技讯 1月5日上午消息，新浪科技从知情人士处独家获悉，阿里巴巴旗下高德已布局世界模型， 并计划基于世界模型推出一项新的产品应用。 目前，该模型已在空间智能评测基准WorldScore中，取得多项指标第一的成绩。WorldScore由著名华裔 人工智能科学家、斯坦福大学教授李飞飞团队提出，也是首个支持多模态世界生成模型统一评估的开源 基准测试。 此外新浪科技还了解到，高德内部已成立具身业务部。在招聘平台上，高德放出了具身业务部的 ...

【宇树科技澄清：公司未涉及申请IPO"绿色通道"相关事宜，上市工作正常推进】1月4日晚，针对相关媒体的"IPO绿通"被叫停报道，宇树科技回应称，该 报道涉及公司上市工作相关动态情况的内容与事实情况不符，公司未涉及申请"绿色通道"相关事宜。宇树科技明确，相关报道误导公众认知，已严重侵害公 司合法权益。公司已向主管部门反映，同时督促相关方撤回不实报道。"我司在此严正声明，后续将保留通过法律手段追责的权利。""目前，我司上市工作 正常推进，相关进展将依法依规进行披露，感谢社会各界对公司的关心与支持。"宇树科技表示。（中国证券网） 【国行版AI上线了？苹果回应】1月4日，有博主透露苹果公司已针对部分国行设备启动"Apple智能与Siri"功能灰度测试，获测试资格用户可在"设置-Apple 智能与AI"中开启功能，需连接电源和Wi-Fi下载更新，完成后将新增图乐园App。 部分用户反馈AI回答基于百度现有答案，疑似功能被阉割。 苹果技术顾 问回应称，截至1月4日苹果AI尚未正式上线，后续将在官网发布，仅兼容iPhone15Pro及以上机型，因算法对硬件要求较高，并警告强行通过第三方软件开 启可能影响资金和账号安全。（2 ...

Core Viewpoint - The article discusses Yann LeCun's departure from Meta and his views on AI, particularly criticizing large language models (LLMs) and advocating for a new approach to AI development through a "world model" architecture [8][10][21]. Group 1: LeCun's Departure from Meta - Yann LeCun, a prominent AI scientist, is leaving Meta after over a decade to focus on a new startup that aims to develop advanced AI technologies [9][10]. - His departure was accelerated by the news of his new venture, which has garnered attention from figures like French President Macron [12][13]. - LeCun will serve as the executive chairman of the new company, allowing him to maintain his research focus [14]. Group 2: Critique of Large Language Models - LeCun argues that LLMs are fundamentally limited and cannot achieve superhuman intelligence, as they are constrained by language [21][22]. - He proposes a new architecture called V-JEPA, which utilizes video and spatial data to understand the physical world, moving beyond the limitations of language [23][24]. - This approach aims to create what he terms "Advanced Machine Intelligence" (AMI), which can plan, reason, and have persistent memory [25]. Group 3: Impact of ChatGPT on Meta - The emergence of ChatGPT disrupted Meta's AI strategy, prompting the company to accelerate the development of its own LLM, Llama [72][73]. - Meta's leadership restructured the organization to focus on generative AI, but this led to communication issues and a lack of innovative output [80][81]. - LeCun noted that the performance of subsequent Llama models was disappointing, leading to a loss of confidence from CEO Mark Zuckerberg [82][84]. Group 4: Future Directions in AI - LeCun believes that the next phase of AI development will involve establishing new labs focused on foundational research, similar to successful models from other AI leaders [101]. - He emphasizes the importance of understanding physical world dynamics in AI models, which could lead to better predictive capabilities [102]. - LeCun anticipates that within 12 months, a "baby version" of his new technology could be realized, with larger-scale versions to follow in the coming years [104].

作者 | 蔡芳芳、华卫 刚刚，AI 前线获悉，前华为天才少年、原华为云具身智能核心负责人李元庆已正式加入乐享科技，后续将重点负责乐享科技的创新业务战略规划与核心 技术攻关。 关键技术突破多点爆发 Q：我们观察到，2025 年无论是科技巨头还是初创公司，都显著加大了对具身智能的投入，还有许多新投身进来的创业者，顺利拿到大额融资的亦不少。 在您看来，这股热潮背后的核心驱动因素是什么？技术成熟度的变化还是市场应用预期？ 李元庆：机器人企业大多能顺利拿到投融资，这已经成为一种普遍现象。当下，机器人领域依然是值得入局成立公司的赛道，这一点我是确信的。资本市 场看待这个领域遵循的是长期逻辑，大家已经明确看到了未来的发展结果。一款优质的硬件产品需要花费数年时间去梳理供应链、等待技术逐步成熟，整 个产业发展也需要一个漫长的周期。所以在我看来，当前机器人领域的热潮，本质上是由未来的确定性倒推而来的结果。 2024 年，李元庆出任华为云具身智能主要负责人及 ROBO_AGENT 负责人，牵头完成多款具身智能机器人核心方案开发，其中由他主导的 2024 年华为 HDC 大会明星具身智能项目成功落地并引爆网络，成为具身智能技术走向大 ...

作者 | 蔡芳芳、华卫 刚刚，AI 前线获悉，前华为天才少年、原华为云具身智能核心负责人李元庆已正式加入乐享科技，后续将重点负责乐享科技的 创新业务战略规划与核心技术攻关。 2024 年，李元庆出任华为云具身智能主要负责人及 ROBO_AGENT 负责人，牵头完成多款具身智能机器人核心方案开发，其 中由他主导的 2024 年华为 HDC 大会明星具身智能项目成功落地并引爆网络，成为具身智能技术走向大众视野的标志性案 例，也让他成为行业内具身智能领域的顶尖人才之一。 据了解，此次李元庆选择加入乐享科技，核心原因在于双方在具身智能赛道的技术理念高度契合。 近期，我们对李元庆进行了独家专访。透过 2025 年具身智能领域在技术及落地表现上的各类突破性进展，他道出了这一年来 具身智能技术栈的核心演变。在与我们的对话中，李元庆也直言不讳地指出当下制约具身智能大规模落地应用的同质化难题， 以及他对此的技术路线选择与思考。 "世界上第一款能大面积铺开的具身智能落地产品，很可能会在中国出现。多机异构技术路线是具身智能未来的发展方向。"李 元庆称。 在他看来，这个时代下具身智能领域最该抓住的就是两件事：落地和数据。而他接下来的 ...

Core Viewpoint - The gaming industry, valued at $190 billion, is facing a crisis as development costs for AAA titles soar, leading to burnout among developers. AI innovations, particularly through Li Feifei's "world model," are set to revolutionize game development by significantly increasing efficiency and reducing costs [1][20]. Group 1: Industry Challenges - The development of high-profile games like MiHoYo's "Genshin Impact" and "GTA 6" has become increasingly burdensome, with annual operational costs exceeding $200 million and lengthy development cycles [1]. - AAA game development costs can reach billions, creating a stagnation in creativity and innovation within the industry [1][20]. Group 2: AI Innovations - Li Feifei's World Labs is introducing a "world model" that enables AI to understand and reconstruct 3D physical spaces, drastically improving development speed by four times [3][4]. - AI-generated complex 3D environments can be created with minimal input, allowing developers to focus on creativity rather than technical constraints [6][11]. Group 3: Future of Game Development - The traditional game engines, reliant on complex coding and predefined rules, are being replaced by AI systems that understand physical interactions intuitively [9][12]. - As AI tools mature, the barriers to game development will lower, enabling more individuals to create personalized gaming experiences without extensive technical knowledge [15][17]. Group 4: Emotional and Creative Implications - The democratization of game creation through AI could lead to a resurgence of creativity, allowing developers to focus on enjoyment and exploration rather than technical limitations [21][22]. - Concerns exist regarding the potential for low-quality content flooding the market as the cost of creating virtual worlds approaches zero, raising questions about the future of artistic integrity in gaming [20].

Core Viewpoint - The article discusses the fallout from the release of Meta's Llama 4, highlighting internal conflicts and the departure of key figures like LeCun and Tian Yuandong, who are now pursuing entrepreneurial ventures due to dissatisfaction with Meta's direction in AI development [1][3][22]. Group 1: Llama 4 and Internal Conflicts - Llama 4 faced significant criticism and allegations of cheating in benchmark tests, leading to a loss of confidence from Meta's leadership [1][10]. - The release of DeepSeek, a competing AI model, pressured Meta to accelerate its AI investments, resulting in internal turmoil and a shift in team dynamics [4][6]. - The communication breakdown within the team was exacerbated by differing priorities, with LeCun's team wanting to innovate while leadership preferred proven technologies [7][8]. Group 2: Departures and New Ventures - LeCun and Tian Yuandong both announced their intentions to start new companies after leaving Meta, with LeCun focusing on world models and Tian Yuandong on new AI initiatives [27][33]. - LeCun's new venture, Advanced Machine Intelligence (AMI), aims to explore advanced machine intelligence through open-source projects, while he will serve as the executive chairman [27][30]. - Tian Yuandong expressed a desire to co-found a startup, indicating a trend among former Meta employees to seek new opportunities outside the company [33]. Group 3: Future Directions in AI - LeCun's focus on the V-JEPA architecture aims to enhance AI's understanding of the physical world through video and spatial data, with expectations for significant progress within 12 months [32]. - The article emphasizes the need for AI to move beyond language limitations, as highlighted by LeCun's critique of the current focus on large language models [25][26].