Why China is giving away its best AI models

为什么中国要免费开放其最顶尖的 AI 模型

Chinese labs like Moonshot are forcing OpenAI, Google, and Anthropic to rethink what they lock away. 像月之暗面（Moonshot AI）这样的中国实验室正在迫使 OpenAI、谷歌和 Anthropic 重新思考它们究竟该把什么“锁”起来。

Silicon Valley has spent much of the past week on red alert, digesting the arrival of Moonshot AI’s Kimi K3, a Chinese AI model that can allegedly beat some of the best systems built by US companies at a fraction of the cost. 过去一周，硅谷一直处于高度戒备状态，消化着月之暗面 Kimi K3 的到来。这款中国 AI 模型据称能以极低的成本击败美国公司构建的一些顶级系统。

Its performance alone would have been enough to intensify the rivalry between the US and China. But Moonshot’s plan to release the model’s weights for free — and its clear targeting of US users — has fueled deeper unease about whether closed American models can continue to dominate as increasingly capable open alternatives enter the market. 仅凭其性能表现，就足以加剧美中之间的竞争。但月之暗面计划免费发布模型权重，且明确瞄准美国用户，这引发了更深层的担忧：随着能力越来越强的开源替代品进入市场，封闭的美国模型是否还能继续保持主导地位。

Open-weight models give developers far greater control than proprietary systems, allowing them to inspect how the AI functions, run the AI locally on their own infrastructure, customize the systems, and build new products without depending on a single provider. They’re often a lot cheaper, too. That raises an obvious question: Why would an AI company spend vast sums of money training an AI model, only to give away some of the most valuable parts? 与专有系统相比，开放权重模型赋予了开发者更大的控制权，使他们能够检查 AI 的运行机制、在自己的基础设施上本地运行 AI、定制系统，并在不依赖单一供应商的情况下构建新产品。它们通常也便宜得多。这就引出了一个显而易见的问题：为什么一家 AI 公司要花费巨资训练模型，却又把其中最有价值的部分免费送人？

Kimi K3, like other open-weight AI models, isn’t fully “open.” In software, “open source” has a settled definition: Source code is publicly available to use, modify, and redistribute freely, only requiring that this is also done openly. AI systems are more complicated, and very few are truly open in the traditional software sense. Most companies instead release something called model weights — the numerical parameters learned during an AI’s training period — while keeping other crucial components, including training data, code, model architecture, and configuration methods, private. Most also come with restrictive licenses limiting how they can be used or redistributed. Kimi K3 和其他开放权重 AI 模型一样，并非完全“开源”。在软件领域，“开源”有明确的定义：源代码公开，可自由使用、修改和重新分发，前提是必须同样以开源方式进行。AI 系统则更为复杂，在传统软件意义上，几乎没有真正的开源。大多数公司发布的是所谓的“模型权重”——即 AI 在训练期间学习到的数值参数——同时将其他关键组件（包括训练数据、代码、模型架构和配置方法）保密。大多数模型还附带限制性许可，限制了其使用或分发方式。

Together, this means open-weight AI cannot be re-created from the ground up in the way true open-source software can. But it does provide enough power and flexibility that a company can make money off of it. 总之，这意味着开放权重 AI 无法像真正的开源软件那样从零开始重建。但它确实提供了足够的性能和灵活性，使公司能够从中获利。

“A free set of weights is not a free AI service,” said Fordham Law School professor Chinmayi Sharma. “A company can give away the model weights while making money elsewhere in the stack.” There are ample opportunities to do so. Running a model still requires computing infrastructure, engineering, security, maintenance, and support, all of which companies can charge through hosted access or other arrangements. For some companies, the payoff may be broader, such as an increased demand for cloud computing services or advanced computer chips. 福特汉姆大学法学院教授 Chinmayi Sharma 表示：“免费的模型权重并不等于免费的 AI 服务。公司可以在免费提供模型权重的同时，在技术栈的其他环节赚钱。”实现这一目标的机会很多。运行模型仍然需要计算基础设施、工程、安全、维护和支持，公司可以通过托管访问或其他安排对这些服务收费。对于一些公司来说，回报可能更广泛，例如带动对云计算服务或高端计算机芯片的需求。

Openness can also be a powerful strategy for gaining a competitive edge. Releasing a model’s weights can encourage more companies and developers to use it, which in turn can lead to an entire ecosystem of tools and infrastructure being built around it. Over time, that can help a model become a “de facto standard,” Sharma said. Kyle Miller, a senior research analyst at Georgetown’s Center for Security and Emerging Technology, made a similar point, citing Alibaba’s large family of Qwen open-weight AI models in China as an example of how deeply embedded an open system can become across an industry. 开放也可以成为获得竞争优势的有力策略。发布模型权重可以鼓励更多的公司和开发者使用它，进而促使围绕该模型构建起一整套工具和基础设施生态系统。Sharma 指出，随着时间的推移，这有助于模型成为“事实上的标准”。乔治城大学安全与新兴技术中心高级研究分析师 Kyle Miller 也表达了类似的观点，他以阿里巴巴在中国庞大的 Qwen 开放权重模型家族为例，说明了一个开放系统如何能够深入嵌入到整个行业中。

That creates a clear problem for the US AI giants. If a generation of tools and developers start building around capable open-weight models like Kimi K3, the industry’s center of gravity could start to shift away from proprietary platforms like Gemini, Claude, and ChatGPT. While it remains to be seen whether frontier-level open-weight models are actually cheaper to run in practice, they have historically offered a lower-cost alternative to proprietary systems. They also offer more freedom for developers at a time when US labs are tightening access and imposing stricter guardrails for their latest models. There are already signs that some US companies are shifting toward cheaper Chinese models. 这对美国 AI 巨头构成了明显的挑战。如果一代工具和开发者开始围绕 Kimi K3 这样强大的开放权重模型进行构建，行业重心可能会开始从 Gemini、Claude 和 ChatGPT 等专有平台转移。虽然前沿级别的开放权重模型在实践中是否真的更便宜还有待观察，但从历史上看，它们确实提供了比专有系统成本更低的替代方案。在美方实验室不断收紧访问权限并对其最新模型施加更严格护栏的当下，它们也为开发者提供了更多自由。目前已有迹象表明，一些美国公司正在转向更便宜的中国模型。

There is no single reason behind China’s support for open-weight AI, but it appears to be a mix of practical constraints and political strategy. An open ecosystem gives Chinese companies a way to innovate near the frontier despite tighter access to advanced chips and computing power, while fitting neatly into Beijing’s broader industrial strategy of encouraging wider adoption of Chinese models, tools, and infrastructure. The approach is also convenient for expanding China’s technological influence abroad, as well as its political influence. For example, earlier this month, President Xi Jinping openly challenged the US for leadership of AI on the world stage by pitching itself as a more egalitarian partner given America’s closed approach. 中国支持开放权重 AI 的原因并非单一，但似乎是实际限制与政治策略的结合。尽管获取高端芯片和计算能力的渠道受限，但开放的生态系统为中国公司提供了一种在接近前沿水平上进行创新的途径，同时也完全符合北京鼓励更广泛采用中国模型、工具和基础设施的宏观产业战略。这种方法也有助于扩大中国在海外的技术影响力及其政治影响力。例如，本月初，习近平主席在世界舞台上公开挑战美国的 AI 领导地位，并指出鉴于美国的封闭做法，中国愿成为更平等的合作伙伴。

The rise of capable Chinese open-weight models is also turning up the pressure on closed-model providers like OpenAI and Anthropic from within their own industry. The prospect that the US might restrict access to open-weight AI in light of Kimi K3 sparked a swift backlash in the tech sector, supported by some of its biggest players. A coalition of 25 tech companies, including IBM, Microsoft, Meta, Nvidia, Perplexity, and Palantir, released an open letter urging policymakers to avoid “premature restrictions,” arguing that open-weight AI models are essential to ensuring American AI leadership and preventing the technology’s power and benefits from becoming “concentrated.” 中国高性能开放权重模型的崛起，也从行业内部给 OpenAI 和 Anthropic 等封闭模型提供商施加了压力。鉴于 Kimi K3 的出现，美国可能会限制对开放权重 AI 的访问，这一前景在科技界引发了迅速的反弹，并得到了业内一些巨头的支持。包括 IBM、微软、Meta、英伟达、Perplexity 和 Palantir 在内的 25 家科技公司组成的联盟发表了一封公开信，敦促政策制定者避免“过早限制”，并指出开放权重 AI 模型对于确保美国在 AI 领域的领导地位，以及防止技术权力和利益变得“过度集中”至关重要。