Security analysts poring over satellite photos of China have shared a surreal image: There's a detailed, full-scale replica of a US Navy destroyer in the middle of a remote stretch of Chinese desert. It's a vivid indication of the seriousness with which the Chinese government takes preparations for a potential war with the United States, perhaps over Taiwan.
This highly-detailed, full-scale mockup of a US destroyer was recently assembled in the middle of a desert in northwest China (via Defense Security Asia)Thousands of miles from the nearest ocean, the mockup sits amid the sands of a missile-testing range near Ruoqiang in Xinjiang Province. It's an exceedingly precise replica of a 510-foot-long US Arleigh Burke-class destroyer. That type of vessel is a core workhorse of the US Navy, and is involved in air defense, anti-submarine warfare, surface warfare and attacks on land-targets. A main player in Trump's Israel-allied war on Iran, it was likely an Arleigh Burke-class destroyer that fired the Tomahawk missiles on Feb 28 that devastated a girls' elementary school in Minab, killing 168 people, mostly schoolgirls. Here's video of an Arleigh Burke-class destroyer, the USS Michael Murphy, in action:
Footage of the USS Michael Murphy (DDG-112) launching five Tomahawk cruise missiles at Iran tonight. pic.twitter.com/nlsAMNhFMF
— OSINTtechnical (@Osinttechnical) June 11, 2026Adding to the mockup's realism, analysts told CNN that that it's bristling with antennas that are used to reproduce the destroyer's radar signature. The same area of China is home to several flat, 2-D mockup of other US ships, portraying the outlines of destroyers and aircraft carriers as seen from above. Those mockups are mounted on tracks so they glide along the desert sea at the same speeds real US warships would use.
Weeks ago, the mockup was discovered while it was still under construction (via Defense Security Asia)As with any well-resourced military, mockups have long been a part of Chinese readiness training, to include building fake airstrips, highway interchanges and even an Eiffel Tower in their desert. The country has also built a 3D mockup of central Taipei, to include Taiwan's presidential office. However, according to open source intelligence analyst Joseph Wen of the Taiwan Inspiration Association, this is the first known instance in which China has built a detailed, 3-D replica of a warship. Wen is credited with being the first to discover the new mockup several weeks ago, while it was still being built. "The message that they are sending is China is always preparing for war," Wen told CNN.
This mockup of central Taipei was discovered at the Zhurihe military training facility in Inner Mongolia in 2015 (via The Diplomat)...just like the United States, which may see its already-enormous military budget grow 50% from about $1 trillion to $1.5 trillion in FY 2027 -- if Congress makes Trump's fever-dreams a reality.
Tyler Durden Mon, 07/13/2026 - 18:50Authored by Joseph Hoefer via RealClearDefense,
When we picture intellectual property theft, we picture a break-in. A hacker slips past the firewall, copies the source code, and disappears. So, when an American AI company tells Congress that China just pulled off the largest extraction campaign it's ever recorded, the natural assumption is that someone cracked the vault.
Nobody broke in. And that's exactly what makes this threat so difficult for Washington to address.
Last week, Anthropic told the Senate Banking Committee that operators affiliated with the Chinese conglomerate Alibaba ran roughly 28.8 million queries with its Claude models through nearly 25,000 fraudulent accounts between April and June. According to the company, the goal was not to steal the model. It was to harvest its answers, then use those answers to train a competing Chinese system at a fraction of the cost.
This technique is called distillation, and not all of it is sinister. Training a smaller model on the outputs of a larger one is a routine and legitimate practice when a company does it with its own systems. What Anthropic alleges is something else: unauthorized extraction from a competitor's proprietary service, carried out at industrial scale through fake accounts that violated its terms of use. The line between ordinary engineering and a national-security problem runs right through that word "unauthorized."
The unsettling part is how ordinary the attack looks from the outside. The operators signed up, gained access, and asked questions, millions of them, aimed at the model's most valuable skills: writing software and reasoning through complex tasks step by step. The model did precisely what it was built to do. No alarm tripped, because from the system's perspective, nothing went wrong. A determined competitor simply walked through the front door, at enormous scale, to approximate years of American research by learning from the model's outputs.
That is a genuinely new kind of problem, and it scrambles the usual playbook.
The instinct in Washington has been to treat Chinese AI gains as a hardware story. Keep advanced chips out of Beijing's hands, the thinking goes, and you slow its progress. That instinct isn't wrong. Compute is a real chokepoint... China keeps trying to smuggle chips and route around the controls, and tightening those rules is sound policy.
But chip controls were designed to stop someone from building a powerful model. They do nothing to stop someone from quietly copying the behavior of a model that already exists.
You can wall off the foundry and leave the storefront wide open. That is the gap distillation walks through, and it is why a hardware-only strategy, however necessary, cannot be the whole answer.
The stakes are not only strategic. Every successful extraction campaign compresses years of research and billions of dollars of private investment into millions of automated queries, undermining the incentives that made American frontier AI leadership possible in the first place. This is what intellectual property theft looks like in the age of AI: not stolen code, but a copied teacher. Alibaba is simply the first vivid example, and it won't be the last.
The encouraging news is that the government has already named the problem. In April, the White House science office issued a memo warning that foreign entities, mostly based in China, are running "industrial-scale campaigns to distill U.S. frontier AI systems," and it committed the administration to better information sharing and defensive coordination with industry. The House Foreign Affairs Committee advanced a bill that would track these extraction attempts and authorize sanctions against the companies behind them. And in response to the Alibaba disclosure, Sens. Bill Hagerty (R-Tenn.) and Andy Kim (D-N.J.) are pushing an amendment to this year's defense bill directing the Commerce Department to penalize Chinese firms caught doing it.
That bipartisan momentum is the right reflex. To work, the response must match the attack, and that means treating model extraction like any other strategic economic attack rather than a routine business dispute.
Two priorities follow. First, detection is a shared problem, yet companies fight it alone. The fake accounts and evasion patterns show up across multiple American labs, but legal uncertainty discourages competitors from comparing notes. Congress can give them clear permission to share threat signals with one another and with the government, the way banks already share intelligence on fraud. Second, deterrence must reach the storefront, not just the foundry. If a Chinese lab can lose access to American chips for smuggling them, it should face comparable consequences for systematically abusing American AI services to copy them.
America has spent years debating how to keep advanced AI out of China's hands. The harder question may be how to keep China's AI companies from quietly learning everything they can from the models we place online for the world to use. Last week's disclosure put a number on it: 28.8 million questions, asked through the front door. Washington has finally started looking at the right entry point. Now it needs to figure out how to lock it.
Joseph Hoefer is a principal and chief AI officer at Monument Advocacy, where he leads the firm's AI policy practice.
Tyler Durden Mon, 07/13/2026 - 18:25