黄仁勋、杨元庆，给人工智能划了两个重点丨2026 CES观察

腾讯科技01-11

黄仁勋与GR00T N1模型驱动的Blue机器人文丨北京大学新闻与传播学院教授胡泳编辑丨苏扬人工智能一向不仅仅是数据、芯片和代码的集合，同样也是我们用来描述它的隐喻与叙事的产物。我们如何呈现这项技术，将决定公众想象中的AI模样，也影响人们如何设计、使用 AI，以及它对社会的实际影响。CES作为全球规模最大、影响力最广的消费技术产业盛会之一，长期被视作全球科技领域的年度风向标，近年更成为展示...

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All”，从家用机器人到智能眼镜，各类AI产品与服务无不强调与人类的互动。然而，技术的展示不仅是功能和创新的呈现，更是叙事的建构：展览、活动、新品发布与品牌宣传等共同塑造了公众对AI的认知与期待。宇树CES展台，机器人在表演作为一个传播学者，我很关注当前哪些叙事在公共AI讨论中占据主导地位，以及这些叙事如何引领了公众对AI技术能力、风险和收益的理解。我发现，CES 2026上的AI叙事，可以归结为两大主题——“AI is physical”、“AI is personal”。01AI is physical (人工智能是物理的)CES展会总是与时俱进。你可知道，第一台录像机（VCR）早在1970年就首次亮相于CES。这一科技展会一直以来都聚焦“下一步会是什么”，虽然顶着“消费电子展”的名头，但在过去几年里，汽车业都知道，它在不知不觉中似乎变成了汽车展。它见证了电动汽车（EV）的兴起，然而眼下，它正悄然将EV推向生活在人类社会中的、具备智能的AI原生机器人。所以，2026年我们看展会上的汽车，会发现纯电汽车的存在感明显降低，取而代之的，是行业最新、最受追捧的流行语：“物理人工智能”（physical AI）。物理AI将加速自动驾驶进化数月前，通用汽车（GM）在纽约举办了名为“GM Forward”的未来出行技术大型展示，宣布将于2028年让其自动驾驶系统Super Cruise支持“免看”驾驶（eyes-off driving）。目前该系统已允许驾驶者在美国和加拿大超过75万英里的兼容高速公路（即支持 Super Cruise系统使用的特定道路）上实现“免手”驾驶（hands-off driving）。这样的升级意味着向更高级别的自动驾驶辅助又迈进了一步。相比之下，特斯拉的Autopilot和Full Self-Driving系统仍要求驾驶者保持注视道路。通用汽车还透露，从2026年起，其车型将配备由谷歌Gemini驱动的车内AI助手，让车辆能够像乘客一样与人对话，并提供基于自然语言的功能，如发送信息、规划路线、解释驾驶功能等。通用汽车首席执行官玛丽·巴拉（Mary Barra）描述了一个未来愿景：汽车不仅是交通工具，还将成为智能个人助理。也就是说，车辆将能够主动协助车主处理日常事务、管理行程，甚至在一定程度上像私人机器人一样提供服务和支持。比如，哪怕你不在车内，让它去跑个腿帮你取干洗怎么样？换句话说，一辆车就像一台私人机器人——这就是物理人工智能。我举这个例子，是想说在CES 2026上看汽车，关键看点在于，观察各厂家如何借助AI和机器人技术，将汽车从传统的交通工具转变为具备智能感知、学习和交互能力的“移动助手”，这正是所谓的“物理人工智能”思想的最佳体现——AI不再仅限于软件或屏幕，而是与车辆这样的物理实体紧密结合，在真实世界中感知、判断和行动。这一思想鼓吹最力者就是黄仁勋，我在2025年的CES观察中曾写过，按照他的理念发展下去，机器人技术可能会成为史上最大规模的计算机产业。黄仁勋今年在开幕演讲中仍然毫不含糊地坚持：“机器人领域的‘ChatGPT时刻’已经到来。物理人工智能的突破——能够理解现实世界、进行推理和规划行动的模型——正在开启全新的应用场景。”当然，他不会忘记表示：“人工智能如今已扎根于物理世界，这得益于英伟达在训练、推理和边缘计算方面的技术支持。”这是因为，AI系统现可以在进入现实世界之前，先在虚拟环境中利用合成数据进行训练。Cosmos模型生成虚拟场景数据例如，英伟达主推的专为机器人设计的世界基础模型平台Cosmos，通过视频、机器人数据和仿真进行训练，能够做到：从单张图像生成逼真的视频；合成多摄像头的驾驶场景；根据场景提示建模边缘环境；执行物理推理与轨迹预测；驱动交互式闭环仿真等。延续这一进展，黄仁勋发布了Alpamayo——一个开放的推理视觉-语言-动作（VLA）模型组合，令车辆具备L4级别自动驾驶能力。“它不仅能够接收传感器输入并控制方向盘、刹车与加速，还能对即将执行的动作进行推理，”黄仁勋表示，并展示了一段视频，演示车辆在繁忙的旧金山街道中平稳行驶。英伟达及多家企业正在展示一条路径：在将系统部署到真实车辆之前，先在高度逼真的虚拟世界中训练AI模型。这种方法使自动驾驶系统能够在仿真环境中遭遇并学习应对罕见的边缘场景，例如异常天气或不可预测的人类行为。在完成训练后，类似模型可以被部署到卡车、轿车和电动车中，并在实际运行中不断深化对物理世界的理解。这样的技术使新一代车辆能够解读复杂的城市场景、预判交互行为，并与道路上的其他智能代理进行协同。从本质上看，物理人工智能正在将汽车转变为一种自主、可适应的机器——它能够在真实世界的约束条件下进行学习、推理并采取行动。从汽车这个容易理解的例子，我们马上就能明白，“物理人工智能”可以被命名为本届CES的核心关键词。先进物理人工智能的兴起，即机器人技术与人工智能的融合，将显著拓展AI的应用范围，从工业场景延伸到日常消费生活。超越简单自动化，一波能够理解、推理并操控物理环境的AI驱动设备在CES 2026上亮相，其在制造、建筑和服务等行业的具体应用场景，变得十分清晰可见。物理人工智能新产品和技术进展，在本届展会上，除汽车这个亮点，另一个不遑多让的就是人形机器人了。天工机器人流水线“分拣”演示融合的机器人技术与人工智能正在模糊汽车、家用电器、人形机器人与工业机器人的界限。英伟达等公司展示的平台能够统一控制并驱动通用机器人，借助共享的仿真环境与模型架构。这些平台可以在感知、导航和操作方面进行一次性训练，然后以不同形态重新部署。这意味着我们会迎来广义的机器人系统，而非孤立的机器。不同的机器人可以从共享的AI系统中学习，从而加速机器人技术与人工智能技术的互相进步，形成强大的物理人工智能飞轮效应。02AI is personal (人工智能是个人的)通用汽车想把未来的汽车变成私人机器人，内嵌谷歌Gemini这样的对话式人工智能。作如是想的不止一家汽车厂商。在CES 2026 上，Sony Honda Mobility展示了AFEELA Personal Agent——一款基于Microsoft Azure OpenAI的人工智能助理，能够实现自然、个性化的车内对话，管理应用程序、车辆设置和娱乐功能。最新更新展示了更流畅的性能，并强调其作为“智能伙伴”的角色，支持面向“无驾驶”的未来，以提升生产力和娱乐体验。现在人人都懂得，汽车在智能网联时代已成为一个重要的移动终端。那么传统的移动终端如何与AI结合？这要看全球智能设备的领先厂商联想交出的答卷。黄仁勋、苏姿丰、陈立武现身联想Tech World联想在本届CES上大出风头，于拉斯维加斯的著名地标Sphere举办其史上最大规模的Tech World活动，嘉宾云集，观众踊跃，黄仁勋、苏姿丰和陈立武济济一堂。杨元庆称，大模型提供“公共智能”，联想重心在个人与企业智能。所以，这场视觉盛宴重点展示联想的AI平台如何在个人、企业中发挥作用。这家中国科技巨头推出的智能助手名为Qira，可在广泛的Lenovo和Motorola设备生态系统中无缝运行，包括智能手机、可穿戴设备、个人电脑、平板电脑等。联想将Qira描述为个人环境智能系统（personal ambient intelligence system），意味着它具备上下文感知能力，能够在多个设备间持续工作。它构建了所谓的“融合知识库”，将用户在不同设备上的交互、文档和记忆整合起来，形成个性化体验，并打造“用户世界的动态模型”。这样，用户在使用时无需频繁切换上下文，也只需极少的背景信息即可完成任务。杨元庆在现场发布QIRA智能体应用例如，“Next Move”可根据当前任务提供上下文相关的建议，“Catch Me Up”则可以为用户总结离开期间发生的事件。这使得它比传统聊天机器人（如 ChatGPT）更进一步，能够跨设备和应用执行实际任务，包括在线和离线传输文件，从而真正实现“全设智能协”。Qira功能演示杨元庆称Qira为“个人AI超级代理”，可响应语音、文字及其他输入指令。他表示，随着Qira逐步学习用户的偏好、习惯和体验，它将逐渐成为用户的数字分身。他强调该系统采用混合人工智能架构，融合云端与设备端人工智能模型。“随着时间推移，个人AI将演变为认知伙伴，以你的思维方式思考，以你的行动方式行动。”联想Qira代表了一种从“应用式AI”向“环境化、系统级智能”的关键转向。所谓环境智能，并不是一个需要被打开或切换的应用，而是一种具备情境感知能力、跨设备持续存在的智能形态。用户无需刻意调用，它就已经在那里——在获得授权的前提下，理解你正在做什么，并在恰当的时刻提供支持。这种智能不再以“工具”的姿态出现，而是以“伴随”的方式运作。通过与你的日常活动长期共处，逐步学习你的意图、偏好与行为模式，进而预判需求、主动协助，并以一种自然、个性化、低打扰的方式介入。这标志着人工智能从被使用的功能，走向融入生活的基础能力，也预示着个人计算体验正在发生深层次的结构性变化。2026年，预计在环境计算（ambient computing）领域会有更多突破。无论是谷歌、亚马逊、微软、苹果还是联想，都会努力超越智能音箱和显示屏，推出一种 AI无处不在、具上下文感知能力的环境。预计会有新的硬件与软件整合发布，使设备能够在无需明确指令的情况下预测用户需求，从而为个人创造真正具预测性的生活和工作空间。黄仁勋也看到了这一点，他强调人工智能正从庞大的超级计算机转向个人本地应用，并为此重点展示了英伟达的相关技术，如DGX Spark桌面系统和Rubin平台，如何帮助响应迅速、具身化的人工智能代理在日常设备上运行，让人工智能成为个人可触摸的协作伙伴，而不仅仅是基于云端的工具。因为这些，我提出“人工智能是个人的”。这个论点恐怕并不容易被反驳，只需回想你在日常中实际使用大模型的具体情境即可。每周有超过180亿条信息被发送到ChatGPT。仅仅三年时间，OpenAI的聊天机器人就被全球超过十分之一的人使用，其普及速度甚至超过了互联网在2000年代初的采用率。而互联网从发端到达至这一普及水平，花费了十多年时间。OpenAI发布的ChatGPT使用数据揭示了其应用的广泛性。人们用它来检索信息，寻求建议，提供技术支持，做数学，编程，构思创意，写作、编辑或评论，创作多媒体，辅导或教学，改善健康，进行美容或自我护理，翻译，搜寻产品，提高烹饪技艺，闲聊，心理咨询，几乎无所不包。这揭示了从教师到网页开发者，从购物清单到情感建议，人工智能已成为全球数字助手。人工智能是怎样变得个人化的？首先源于自适应学习：AI会从你的交互、行为和数据中学习，提供更相关的信息和支持，就像一个个性化的导师或助理。其次是定制化：系统可以利用个人数据（如笔记、邮件、记忆）进行微调，形成独特的知识库，使AI感觉像是自身的延伸。第三是如上所示的广泛应用，AI在各个领域都被用于高度个人化的目标，以实现更“贴身”的服务。在CES 2026上，“人工智能是个人的”这一理念得到多方体现：各类AI智能设备和系统都努力做到像Qira一样，让AI成为每个人独特生活的一部分，并扩展到教育、创作、健康管理等高触感场景，如智能写作助手、个性化学习导师、健康监测系统等，针对每个人的需求和生活习惯提供定制化支持。AI也能根据用户的行为、兴趣、历史数据进行自适应学习，例如，Google将Gemini引入Google TV，实现内容推荐、语音控制与智能交互体验，将电视从传统娱乐平台转变为多功能AI交互中心。无论是在家中、办公室里还是出行途中，AI系统可以持续跟踪用户的任务和偏好，实现“连续的体验”，例如汽车不仅是交通工具，也能通过智能助手功能管理日程、提醒任务、甚至替用户处理事务，让AI与个人生活紧密结合。整合Gemini助手的Google TV语音交互演示与此同时，CES上展示的个人化AI产品普遍强调隐私优先，即从一开始就把隐私保护作为默认设置和核心设计理念，而不是事后补救。这些AI助理会在本地或受控环境中处理用户数据，用户可以自主掌控数据的使用，以防在获得AI个性化服务的过程中丧失个人隐私。总结来看，“人工智能是个人的”这一理念需要通过跨设备、跨场景的个性化体验、隐私优先的架构以及深度适应用户需求的AI系统予以落实，只有这样，AI才能真正成为每个人的独特助手和延伸。03AI下一步演进的两条关键路径AI在CES上已然无所不在，但穿越喧嚣，未来演进的两条关键路径渐渐凸显：一条走向现实世界的具身化，一条走向个体生活的深度个性化。前者让AI跃出屏幕，进入车辆、机器人和各类设备之中，具备感知、行动和与真实环境交互的能力；后者则让AI走近个人，理解人的意图、习惯与情境，成为持续陪伴、主动协作的智能伙伴。当物理AI与个人AI融合，人工智能不再只是抽象的计算能力或单一的数字工具，而是既有“身体/实体”、又“懂你”的系统性存在。它既能在物理世界中替人行动，也能在个人世界中代人思考与协调。这种融合标志着 AI 从技术突破迈向体验重构，也预示着下一阶段智能时代的核心，不在于更强的算法本身，而在于更自然地服务真实世界与真实个体。推荐阅读AI硬件，“无聊”才有钱赚｜2026 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