Open source AI must win

开源人工智能必须胜出

Opensource AI Must Win If intelligence becomes something people can only rent from a few closed institutions, the public does not just lose software freedom. It loses operational freedom. 开源人工智能必须胜出。如果智能变成了一种人们只能从少数封闭机构租用的东西，公众失去的不仅仅是软件自由，更是操作自由。

The ability to study, build, repair, deploy, audit, adapt, teach, preserve, and run intelligence systems without asking permission is of existential importance. 无需许可即可研究、构建、修复、部署、审计、适配、教授、保存和运行智能系统的能力，具有关乎生存的重要性。

AI is a civilizational infrastructure for work, education, science, software, creativity, public services, and national capacity. Access must not depend on closed APIs, remote platforms, shifting terms, opaque moderation, model availability, or prices set by a handful of companies. 人工智能是支撑工作、教育、科学、软件、创造力、公共服务和国家能力的文明基础设施。其访问权限绝不能依赖于封闭的 API、远程平台、变幻莫测的条款、不透明的审核机制、模型的可用性，或是由少数几家公司设定的价格。

Opensource AI should remain usable, understandable, reproducible, locally deployable, economically viable, and community-governed even if today’s dominant labs, foreign labs, hardware vendors, cloud platforms, or open-weight model providers change direction or disappear. 即使当今的主导实验室、外国实验室、硬件供应商、云平台或开放权重模型提供商改变方向或消失，开源人工智能也应保持可用、可理解、可复现、可本地部署、经济可行且由社区治理。

When a small number of closed frontier labs and platform companies control the models, this infrastructure risks becoming a subscription economy for cognition. 当少数封闭的前沿实验室和平台公司控制了模型时，这种基础设施就有可能沦为一种“认知订阅经济”。

America should not fall behind on the freedom to run, inspect, modify, benchmark, teach, and preserve intelligence infrastructure. The practical posture is American capacity with global open standards. 美国不应在运行、检查、修改、基准测试、教授和保存智能基础设施的自由方面落后。务实的姿态应当是：具备美国本土能力，同时遵循全球开放标准。

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