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趋势解读:OpenAI says "chat is dead" and plans to,解读最新 AI 进展
OpenAI资深员工称“聊天已死”,公司正将ChatGPT从聊天机器人升级为自主处理任务的智能体超级应用,整合编码、AI代理与合作伙伴服务,并进行界面大改版。
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POST / 2026-06-07 19:15:28
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"Chat is dead," a senior OpenAI employee told the Financial Times. The company is shifting from chatbots that answer questions to agents that handle tasks on their own. That shift is driving ChatGPT's biggest overhaul since its 2022 launch, turning the chatbot into a "superapp" bundling coding tools, AI agents, and partner integrations with companies like Canva and Booking. Chief product officer Thibault Sottiaux told the FT: "It will transcend the actual surface . . . what we're building towards is where you have your own personal agent that is capable of helping you . . . across everything in your life, be it personally or at work." The reporting draws on more than a dozen current and former employees. OpenAI already confirmed it's working on a "super app." In the coming weeks, OpenAI will redesign ChatGPT's web and mobile interface, adding features that steer users toward coding, image generation, and partner apps. Over time, those nudges should fade as the models learn to figure out what you need on their own. ChatGPT, Codex, and other product teams have already been merged under Sottiaux . Ad DEC_D_Incontent-1 Ad Subscribe to THE DECODER for ad-free reading, a weekly AI newsletter, our exclusive "AI Radar" frontier report six times a year, full archive access, and access to our comment section.
中文翻译
“聊天已死,”一位OpenAI资深员工告诉《金融时报》。该公司正从回答问题的聊天机器人转向自主处理任务的智能体。这一转变正在推动ChatGPT自2022年推出以来最大规模的改版,将其变成一个“超级应用”,捆绑了编码工具、AI智能体以及与Canva和Booking等公司的合作集成。首席产品官Thibault Sottiaux告诉《金融时报》:“它将超越表面……我们正在构建的目标是,让你拥有自己的个人智能体,能够帮助你……在生活的方方面面,无论是个人生活还是工作。”这篇报道采访了十多位在职和离职员工。OpenAI已确认正在开发“超级应用”。未来几周,OpenAI将重新设计ChatGPT的网页和移动界面,增加引导用户使用编码、图像生成和合作伙伴应用的功能。随着时间的推移,这些引导将逐渐消失,因为模型会学会自主判断你需要什么。ChatGPT、Codex和其他产品团队已经合并到Sottiaux的领导下。
核心信息
OpenAI资深员工称“聊天已死”,公司正将ChatGPT从聊天机器人升级为自主处理任务的智能体超级应用,整合编码、AI代理与合作伙伴服务,并进行界面大改版。
- OpenAI转向AI代理,ChatGPT将进化成超级应用
- 整合编码、图像生成及第三方服务,简化用户操作
- 对个人和企业意味着任务自动化,但数据风险上升
- 开发者需调整策略,避免被平台替代或锁定
- 自主任务可靠性仍是挑战,错误代价更高
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