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张一鸣亲自督导，字节跳动或于10月推出实时生成虚拟世界AI模型
据彭博社报道，字节跳动正在开发实时空间视频生成AI模型，计划最早10月发布，创始人张一鸣亲自督导。该模型基于Seedance，可生成交互式虚拟世界，用于直播、短剧和游戏，并整合Pico硬件，将计算任务移至云端以降低设备门槛。但具体发布日期未定，仍可能调整。
AI推荐理由 报道字节跳动可能推出实时生成虚拟世界的AI模型，张一鸣亲自督导，基于Seedance，类似Google Genie，并整合Pico硬件。信息来自彭博社，但为传闻，具体发布日期未定，存在不确定性。对AI应用和XR产业有较高参考价值。
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张一鸣亲自督战开发，字节跳动或推出实时生成虚拟世界的AI模型
AIbase基地
发布于AI新闻 · 3分钟阅读 · 2026年9月8日
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9月7日消息，据彭博社报道，字节跳动正在开发一款实时空间视频生成AI模型，计划最早于10月发布，创始人张一鸣亲自督战开发。一位消息人士称，张一鸣一直在持续协调公司各业务部门，调动AI资源和算力推进该项目，但具体发布日期尚未最终确定，仍可能调整。
据悉，该模型基于字节跳动现有的电影级视频生成AI模型Seedance构建，可为直播、短剧和游戏生成交互式虚拟世界。张一鸣将其定位为驱动整个生态系统的“飞轮”。其能力类似于谷歌的Genie，可将用户置于高度沉浸式的三维虚拟环境中，并连接字节跳动自研的AI模型、云计算资源、内容平台以及XR业务Pico的硬件终端。
该模型还旨在生成能够响应Pico头显用户语音或动作的虚拟世界，并将空间内容生成的高计算任务主要转移到云端，降低VR设备的算力需求和使用门槛，从而实现更经济、更简化的硬件终端。如果该模型落地，VR行业的竞争焦点可能进一步从硬件规格转向AI模型、计算基础设施和内容分发能力。
AINewWords字节跳动Pico空间视频生成
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Zhang Yiming Directly Oversaw the Development, ByteDance May Launch an AI Model for Real-Time Generation of Virtual Worlds
AIbase基地
Published inAI News · 3 min read · Sep 8, 2026
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September 7th news, according to Bloomberg, ByteDance is developing a real-time spatial video generation AI model, which is planned to be released as early as October, with founder Zhang Yiming personally overseeing the development. A source said that Zhang Yiming has been continuously coordinating the company's various business departments, mobilizing AI resources and computing power to advance the project, but the exact release date has not been finalized and may still be adjusted.
It is reported that the model is built upon ByteDance's existing movie-grade video generation AI model Seedance, and can generate interactive virtual worlds for live streaming, short plays, and games. Zhang Yiming positions it as a "flywheel" driving the entire ecosystem. Its capabilities are similar to Google's Genie, allowing users to be placed in highly immersive three-dimensional virtual environments, and connecting ByteDance's self-developed AI models, cloud computing resources, content platforms, and the hardware terminals of XR business Pico.
The model also aims to generate virtual worlds that respond to voice or motion of Pico headset users, and transfer the high-computing task of spatial content generation mainly to the cloud, reducing the computing power requirements and usage barriers of VR devices, thus enabling more cost-effective and simplified hardware terminals. If this model is implemented, the focus of competition in the VR industry may further shift from hardware specifications to AI models, computing infrastructure, and content distribution capabilities.
AINewWordsByteDancePicoSpatialVideoGeneration
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