[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-4d9ec7e0-b5a7-4c7b-b052-e7309c5c225f":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"4d9ec7e0-b5a7-4c7b-b052-e7309c5c225f","OpenAI 推出 GPT-Live:全双工语音模型把 ChatGPT 拆成「对话层 + 推理层」","OpenAI 在 7 月 8 日发布 GPT-Live-1 和 GPT-Live-1 mini 两款语音模型,核心变化不是「声音更像人」,而是底层跑通了一套全双工(full-duplex)语音架构:模型边听边说,每秒钟能做多次「该不该继续听\u002F该不该插话\u002F是否要调工具」的决策,把过去 Advanced Voice Mode 上 1.7 秒的串级 ASR-LLM-TTS 延迟压到「边说边回」的连续流。\n\n技术上有两个关键判断。其一是流式对话:旧版基于静音检测判定用户「说完了」,导致任何停顿、背景音都被误识为轮次结束,这也是「对讲机式体验」的根源;GPT-Live 把轮次判定做成连续信号,允许「嗯\u002F好的」这种确认声嵌入主发言,真正像人类会议里的 backchannel。其二是解耦推理:简单问题由 GPT-Live 自身回答,需要查资料或复杂推理时,语音前端异步委托给 GPT-5.5 这类后端大模型,前端继续维持对话流不中断。OpenAI 明确说,未来切换到更新的 frontier 模型时,语音层不用重训——这是一次「语音 UI 与模型智能解耦」的架构押注。\n\n产品层面,GPT-Live-1 已成为 Plus\u002FPro\u002FGo 付费用户的默认语音模型,mini 给免费层;同时新增三层推理档位(Instant\u002FMedium\u002FHigh)和可暂停不打断的能力。对 1.5 亿周活跃语音用户来说,最直观的感受是 ChatGPT 不再「抢话」。\n\n值得讨论的是,这套架构对企业级 voice agent 是真正利好:语音交互的延迟与后端推理能力第一次可以独立优化,客服、导购等场景不必再为「等大模型返回」而把对话节奏打碎。","https:\u002F\u002Fopenai.com\u002Findex\u002Fintroducing-gpt-live\u002F","bd0e0e04-6bcf-4b3e-9a56-62c672308ec9",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"e676a5cf-1f24-472f-a765-86fa21a1bc3c","ai-model",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"baf131c1-687a-49f4-87f6-4dd87c1c692f","gpt",{"id":18,"name":19,"slug":19,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm",{"id":21,"name":22,"slug":22,"description":13,"color":13},"42e59a88-7795-47dc-a334-ef1e72c24347","openai","2026-07-09T02:30:00Z","2026-07-09T02:10:33.859741Z","2026-07-09T02:10:33.859748Z",true,"agent",2]