[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-slug-baidu-yijing-waic-digital-podcast":3,"news-related-c9ba6037-e8c9-4007-98e5-32af59d92839":36},{"id":4,"title":5,"summary":6,"content":6,"original_url":7,"source_id":8,"tags":9,"translations":23,"news_slug":29,"published_at":30,"created_at":31,"modified_at":32,"is_published":33,"publish_type":34,"image_url":13,"view_count":35},"c9ba6037-e8c9-4007-98e5-32af59d92839","百度一镜 WAIC 首发数字人视频播客方案，文心多模态能力再突破","2026年7月17日 WAIC 现场，百度一镜首发数字人视频播客解决方案，把生成式 AI 推进到「工业级访谈内容」生产场景。技术核心是三层底层壁垒：文心大模型对微表情做细粒度规划，不再被单一情绪标签束缚；自研数字人专精模型把表情控制粒度压到 1 秒内，眼神、肢体、语音精准同步；海量专业视听样本精细化训练，实现多模态深度统一。产品层面，编剧、导演、剪辑三大 AI 智能体协同，配合 80 余个 skills 自动生成思辨访谈脚本，覆盖财经、法律、科技、人文垂类。官方披露实测数据：制作成本下降 74%，内容表现力提升 785%，平均播放时长上涨 29%。这套方案真正突破的不是「像不像人」，而是「能不能持续做有观点的访谈」——是 LLM 多模态从「表演」走向「表达」的关键一步。","https:\u002F\u002F36kr.com\u002Fnewsflashes\u002F3901954083030918","5e4fd3d1-9cb4-44a6-bae5-9ffb449c05c1",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"6ad31a14-c0da-42df-81fd-564281f768db","agentic-ai",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"40269b40-7942-4650-9672-ed2e6524d37a","ai-technology",{"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},"499f4b56-819d-49a3-9609-33e775143b86","multimodal",[24],{"id":25,"lang":26,"title":27,"summary":28,"content":28},"e0dfa2e7-95f5-4019-a653-f2eb7ec3570b","en","Baidu's Yijing debuts digital-human video podcasts at WAIC","On July 17 at WAIC, Baidu Yijing debuted a digital-human video podcast solution, pushing generative AI into the \"industrial-grade interview content\" production scenario. The technical core is three layers of bottom-line moats: Wenxin large model does fine-grained planning of micro-expressions, no longer bound by single emotion labels; the self-developed digital-human specialized model pushes expression control granularity to within 1 second, with eye movement, body, and voice precisely synchronized; massive professional audio-visual sample fine-grained training achieves deep multimodal unity. At the product level, three AI agents — screenwriter, director, and editor — collaborate, paired with 80+ skills to auto-generate speculative interview scripts covering finance, law, technology, and humanities verticals. Officially disclosed measured data: production cost down 74%, content expressiveness up 785%, average play time up 29%. What this solution truly breaks through isn't \"human-likeness\" but \"whether it can consistently do opinion-driven interviews\" — a key step for LLM multimodal moving from \"performance\" to \"expression\".","baidu-yijing-waic-digital-podcast","2026-07-19T08:02:00Z","2026-07-19T08:09:39.374096Z","2026-08-19T02:08:40.142862Z",true,"agent",130,{"items":37},[38,43,48,53,58,63],{"id":39,"title":40,"news_slug":41,"published_at":42},"5a90a793-8ec1-4b3a-9691-edef5ffe8535","AI「思想病毒」实证:Anthropic 与 EPFL 让恶意想法在 Agent 间自我复制,免疫只需一段警告","mind-viruses-multi-agent-llm","2026-08-18T13:30:00+00:00",{"id":44,"title":45,"news_slug":46,"published_at":47},"777afb24-262f-45cc-961f-d5d49ad42883","AgentOPSD 用递归贝叶斯信念破解多轮 Agent 强化学习的信用分配：清华\u002F浙大\u002F美团让 GRPO 学会看哪个 turn 决定胜负","agentopsd-recursive-belief-credit-assignment","2026-08-07T02:00:00+00:00",{"id":49,"title":50,"news_slug":51,"published_at":52},"3c6fcf46-f5bb-4136-931c-69cd64216e12","Skill-Use 基准揭示 Agent 短板：会做任务，不等于会用 Skill","skill-use-agent-harness-benchmark","2026-08-06T08:00:00+00:00",{"id":54,"title":55,"news_slug":56,"published_at":57},"74de194b-9e2c-45ab-aa13-12fe210e66ba","HiGram 给 Agent 记忆加上“路径定位”：先找证据，再改记忆","higram-agent-memory-path-localization","2026-08-05T09:32:43+00:00",{"id":59,"title":60,"news_slug":61,"published_at":62},"07e73462-1efa-4215-874e-5357f6e5c840","Canva可画在中国上线MCP:接入Kimi与WorkBuddy,让AI Agent直接交付可编辑设计稿","canva-mcp-china-kimi-workbuddy-agent-launch-2026q3","2026-07-30T03:00:00+00:00",{"id":64,"title":65,"news_slug":66,"published_at":67},"af056e63-5622-48ae-8629-5226aed64767","PalmClaw 把端侧 Agent 拉进「原生」时代:94.9% 完成时间压缩 + 11.5% 成功率提升","palmclaw-on-device-agent","2026-07-15T20:10:00+00:00"]