mt logoMyToken
ETH Gas
简体中文

Ministry of Commerce plans to regulate export of large model technologies: China's AI can still be open-source, and overseas APIs remain unrestricted

2026-10-16 15:19:08
分享share

Dynamic Insight AI News - The Ministry of Commerce and the Ministry of Science and Technology plan to include 23 AI technologies in export controls, covering large models, Agents, computing clusters, and more.


Among them, if a large model meets any one of the following three conditions, its core technology may be restricted:


1. Training computational requirements reach (10^{26}) floating-point operations

2. Parameter count reaches 2 trillion

3. Ranks in the top 10 globally in mainstream public evaluations


The controlled scope includes model weights, underlying source code, architecture design, and training optimization techniques.


However, this does not mean Chinese large models can no longer be open-sourced in the future. Open-source technologies already in the public domain are exempt from the new regulations; newly open-sourced restricted technologies can also go through a fast licensing procedure.


The Ministry of Commerce stated that it will generally achieve "apply and release immediately." Overseas users can continue using Chinese models via API, web pages, or apps, which are not within the scope of this large-model technology export control.


What is truly constrained is the transfer of core technologies overseas—for example, handing over model weights to foreign enterprises or deploying locally abroad.


Some technologies involving China's core data, national defense, and other sensitive areas are proposed to be prohibited from export.


The new list is currently under public consultation, with a deadline of November 15. However, the pre-export registration requirement for related technologies has already taken effect as of October 16.

免责声明:本文版权归原作者所有,不代表MyToken(www.mytokencap.com)观点和立场;如有关于内容、版权等问题,请与我们联系。
更多精彩内容请查阅
X(https://x.com/MyTokencap)
或加入社区了解更多MyToken-官方华文电报群
(https://t.me/mytoken_cn)