On America’s Independence Day, China Declared Its Own — From Nvidia
A 1.6-trillion-parameter model, trained entirely on Chinese chips, open-sourced to the world on July 4th. The sanctions were meant to prevent exactly this. They caused it instead
In a nutshell
On America's Independence Day, China declared independence from Nvidia — with a frontier model trained entirely on its own chips. The sanctions were meant to prevent this. They caused it.
Our members-only forecast explains why LongCat-2.0 permanently ends the "China can't train frontier models without Nvidia" argument, why domestic-chip training will become mandatory for all flagship Chinese models by 2027, and why China is now timing its model releases as deliberate acts of narrative warfare — with the Shanghai AI summit as the next target.
The Symbolism Was Almost Certainly Intentional
On July 4, 2026, as the United States marked its Independence Day, the AI industry did not take a holiday — and China chose the moment to make a statement about independence of a different kind. A 1.6-trillion-parameter Chinese model, trained entirely on domestic chips, has just been open-sourced under the permissive MIT license. Its name is LongCat-2.0, developed by Meituan, and it represents something US export controls were specifically designed to prevent: a frontier-scale AI model built with no American hardware whatsoever.
The technical details are the whole story. LongCat-2.0 was trained entirely on a 50,000-card cluster of domestic Chinese ASICs — not on Nvidia H100s or A100s or any US-restricted hardware. For years, the core assumption underpinning American AI containment strategy was that China could not train the largest, most capable models without access to Nvidia's chips. LongCat-2.0 is China's declaration that this assumption is now obsolete. Beijing has promoted it precisely as a proof of concept that its domestic chip ecosystem can train frontier-scale models — and it released that proof to the entire world, for free, on the most symbolically American day of the year.
The Sanctions Didn't Slow China — They Focused It
The most important line in the entire story is one that watchchina.ai has been building toward for weeks. The Fable 5 export control ban, which restricted access to Anthropic's most capable models for 19 days, accelerated Chinese investment in exactly this kind of domestic chip-trained model capability.
The very policy designed to hold China back is now credited, in plain terms, with speeding up the breakthrough it was meant to prevent.
This is the central paradox of the entire US containment strategy, laid bare on a single date.
As watchchina.ai documented throughout June — from Jensen Huang admitting Nvidia holds "zero percent" of China, to the developer migration to DeepSeek, to David Sacks warning the crackdown was a gift to Beijing — the evidence has pointed relentlessly in one direction. LongCat-2.0 is the capstone. LongCat-2.0's MIT license means no regional restrictions, no usage prohibitions, and full permission to fine-tune and redistribute — and for enterprise teams that need frontier-adjacent capability without US-origin model dependency, it now joins GLM-5.2 and DeepSeek V4-Pro as a credible open-weight alternative, with weights already live on Hugging Face and GitHub.
America Builds Walls, China Trains Around Them
The contrast could not be sharper, and July 4th framed it perfectly. On the same day LongCat-2.0 went open to the world, Anthropic was closing loopholes that let Chinese companies access Claude through Singapore subsidiaries and VPNs — devoting engineering effort to keeping Chinese users out. One country is spending its energy building higher walls around its technology; the other is spending its energy training frontier models on its own hardware and giving them away.
The deeper significance is strategic, not symbolic. Every month that US export controls succeed in restricting China's access to American chips and models, they simultaneously strengthen China's motivation and justification to build a fully independent, self-sufficient AI stack — from the silicon up. LongCat-2.0 trained on 50,000 domestic ASICs is what that self-sufficiency looks like when it arrives. The sanctions have not prevented Chinese frontier AI. They have severed China's dependence on American technology — which was the one form of leverage the United States actually held.
On the day America celebrated its independence, China quietly demonstrated that it had won its own: independence from Nvidia, from Anthropic, and from the entire American AI supply chain. Whether that outcome makes the world safer or more dangerous is a question for the Shanghai AI summit later this month. That it represents the precise opposite of what the sanctions intended is no longer in serious doubt.
Sources: Build Fast with AI, Hugging Face, GitHub, South China Morning Post, Center for a New American Security
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