There is now a division in the artificial intelligence development track.Closed-source or open-weight?
当下人工智能发展赛道出现路线分歧。是闭源路线，还是开源权重路线？

The choice of AI model is really a choice between two opposing paradigms — on innovation, regulation and who gets a share of the AI pie.
人工智能模型的选择，本质上是两种完全对立发展范式的抉择，关乎创新、监管，也决定着谁能分得人工智能产业的红利蛋糕。

The closed-source model seeks to build technical barriers relying on exclusive model weights, locking the dividends of AI progress within a handful of enterprises.
闭源模型依靠独家模型权重构筑技术壁垒，将人工智能技术进步带来的红利牢牢垄断在少数企业手中。

Companies such as OpenAI and Anthropic have adopted this path.
开放人工智能研究中心、安索皮克等企业均选择了这条发展道路。

While this model may deliver quick profits, it shrinks room for innovation and weakens competition.
这种模式虽能快速变现盈利，却会压缩创新空间、削弱行业良性竞争。

On the other hand, the core value of open-weight models lies in inclusiveness and cooperation.
与之相对，开源权重模型的核心价值在于包容与协作。

For the industry, such models can break technological monopolies, and make AI more accessible to small and medium-sized businesses, unleashing innovation across different sectors.
对整个行业而言，这类模型能够打破技术垄断，让中小企业也能便捷使用人工智能技术，释放各行各业的创新活力。

Most Chinese AI models are open-weight, an approach that is a major driver of AI development in China.
国内绝大多数人工智能模型均采用开源权重模式，这一发展思路也是推动我国人工智能产业发展的核心动力。

This has led some United States policymakers to tighten oversight of foreign open-weight AI models after Kimi K3 was launched this month.
本月 Kimi K3 模型发布后，美国部分政策制定者开始收紧对境外开源权重人工智能模型的监管。

Some have even proposed requiring built-in "kill switches" so that the US government can shut down these systems remotely if they are considered a "national security risk".
部分人士甚至提议，要求这类模型内置 “远程关停开关”，一旦美方认定相关系统存在 “国家安全风险”，美国政府便可远程关停。

A group of 25 US high-tech enterprises, including Nvidia, Microsoft, IBM and Meta published a joint letter on Friday calling on the US administration not to impose restrictions on open-weight AI models.
英伟达、微软、国际商业机器公司、元宇宙平台公司等 25 家美国高科技企业于周五发布联名信，呼吁美国政府不要对开源权重人工智能模型实施限制措施。

The letter stresses that open-weight AI models are safer than closed ones, and keeping AI models open is essential for the US' national security, economic competitiveness and innovation.
联名信着重指出，开源权重人工智能模型的安全性优于闭源模型，维持人工智能模型开源，对美国的国家安全、经济竞争力与技术创新至关重要。

The collective call for openness and transparency in AI development in the letter reflects a rational assessment of the industrial reality.
联名信中一众企业共同呼吁人工智能发展保持开放透明，这一诉求是基于产业现实做出的理性判断。

There is growing consensus among major stakeholders that the long-term competitiveness of AI stems from a thriving open ecosystem, rather than technological monopolies of certain entities, as technological restrictions will inevitably harm the AI ecosystem and an insular approach hinders technological breakthroughs and industrial upgrading.
行业各大利益相关方日渐达成共识：人工智能产业的长期竞争力源自繁荣的开源生态，而非少数主体的技术垄断。技术限制举措势必损害人工智能产业生态，封闭保守的发展模式也会阻碍技术突破与产业升级。

But for a long time, some US politicians have viewed AI advancements as exclusive competition, attempting to erect technical barriers through tech blockades and access restrictions.
但长期以来，美国部分政客始终将人工智能技术发展视作零和博弈，试图通过技术封锁、权限限制等手段构筑技术壁垒。

Yet facts have proven again that scientific and technological progress never follows a zero-sum logic.
但事实一再证明，科技进步从来不存在零和博弈的逻辑。

In reality, Chinese AI breakthroughs have delivered tangible benefits to US companies, primarily through cost savings and open-source accessibility.
事实上，我国人工智能领域的技术突破已经为美国企业带来实实在在的利好，核心体现在降低使用成本、提供开源可用技术两方面。

Data cited by CNBC show that the share of tokens used by US companies on Chinese AI models through OpenRouter — a platform that gives developers access to a wide range of models — has remained above 30 percent each week since February, reaching as high as 46 percent.
美国消费者新闻与商业频道援引数据显示，自今年 2 月起，美国企业通过 OpenRouter（一款可供开发者调用多款人工智能模型的平台）调用国产人工智能模型的字符占比，每周均稳定超过 30%，最高达到 46%。

Chinese open-weight models — which offer competitive capability at roughly one-fifth the cost — have become a practical choice for US businesses.
国产开源权重模型以仅为同类产品五分之一左右的成本提供具备竞争力的技术能力，已然成为美国企业的实用选择。

As AI models integrate ever faster into diverse industries, daily life and social systems, competition is no longer defined solely by raw technical performance, but hinges on ecosystems.
随着人工智能模型加速融入各行各业、日常生活与各类社会体系，行业竞争不再单纯比拼原始技术性能，核心较量转向产业生态。

Once a large and vibrant ecosystem takes root, it fuels faster, broader technological iterations through real-world feedback and data.
一旦形成规模庞大、活力充沛的产业生态，依托真实场景反馈与海量数据，便能推动技术更快、更广地迭代升级。

Thus, the path to sustainable AI development lies not in hoarding proprietary advantages, but in nurturing open, collaborative ecosystems that accelerate collective progress.
由此可见，人工智能产业可持续发展之路，不在于囤积专属技术优势，而在于培育开放协作的产业生态，以此推动全行业共同进步。

This is precisely where China's AI development path finds its footing.
这正是我国人工智能发展道路立足的核心逻辑。

Guided by the principles of openness and security, it systematically advances the AI Plus initiative across critical domains.
我国秉持开放与安全并重的发展原则，在各重点领域系统性推进 “人工智能 +” 行动。

China's AI policy is designed to ensure that the dividends of AI innovation are shared broadly across society and contribute to the collective interests of different countries.
我国人工智能相关政策的核心目标，是让人工智能创新红利广泛惠及全社会，同时助力各国实现共同利益。

For AI to truly serve the common good of humanity, its global development must move beyond zero-sum competition and toward inclusive cooperation.
想要让人工智能真正造福全人类，全球人工智能产业发展必须跳出零和竞争思维，走向包容协作的全新发展格局。