Chip export controls were not a major topic in Beijing, US Trade Rep Greer says


Greer told Bloomberg TV the bilateral did not address chip controls, even as Reuters reported the Trump administration cleared Nvidia H200 sales to several Chinese firms after the Xi meeting.

Semiconductor export controls were not a major topic at this week’s US-China bilateral meetings in Beijing, US Trade Representative Jamieson Greer told Bloomberg TV on Friday.

“This was not a major topic of discussion at the bilateral meeting,” he said. “We did not talk about chip export controls at the meeting.”

The statement is striking for what it leaves on the cutting-room floor. China’s Ministry of Commerce had spent the days before the summit publicly attacking the MATCH Act, the US legislation that would tighten controls on chipmaking equipment exports and bind the Netherlands and Japan to a 150-day alignment deadline.

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Beijing’s foreign ministry spokesperson Lin Jian framed it as evidence of Washington’s “overstretching of national security” and “malicious blocking and suppression.” By Friday, the US side was indicating none of that had made it into the agenda.

What did make it in, in some form, was a partial commercial concession. Reuters reported separately that Washington cleared sales of Nvidia’s H200 AI chips to several major Chinese technology firms shortly after Trump met Xi on Thursday, an administrative move that the export-review regime had been technically capable of since January, when the Trump administration shifted H200 and AMD MI325X reviews from presumption of denial to case-by-case evaluation.

Greer told Bloomberg that allowing the H200 imports would be a “sovereign decision” for China, a phrasing that puts the political onus for any further purchases on Beijing.

The Greer framing matters because it splits the executive branch from Congress on chip policy. The MATCH Act, advancing through the House under the lead sponsorship of Representative Michael Baumgartner, would tighten the equipment-export rules that Greer’s office is now signalling it is not pressing aggressively at the bilateral level.

Treasury Secretary Scott Bessent has spent the spring brokering Mythos and other AI-system access deals with allies in Tokyo and London. The legislative branch is pushing in the opposite direction from the trade-and-Treasury track, on largely the same product set.

Jensen Huang’s presence on Trump’s Beijing delegation reads as confirmation of the same split. Huang was added to the delegation late after initially being excluded, joining the trip in Alaska after a direct call from Trump.

The H200 clearances within days of the summit are unlikely to have happened without his line of argument inside the room, which has been consistent: cede the Chinese AI stack to Huawei now and the US loses its software-ecosystem advantage permanently.

Greer’s interview also flagged narrower deliverables. He told Bloomberg there had been “progress” on Chinese purchases of American agricultural goods, although he was cautious on tariff certainty.

On the security side, he emphasised that keeping the Strait of Hormuz open is “crucial for China,” reading the war in Iran into the trade conversation in a way that ties Beijing’s interest in a settlement to its own crude-supply exposure.

What the de-emphasis on chip controls does not signal is a Washington retreat. The MATCH Act is still in motion. Order No. 834, China’s April supply-chain security regulation, is also on the books and authorises retaliatory action through 15-plus agencies.

The administration’s January easing of H200 review was always meant to be calibrated, not structural, and the Nvidia clearances this week are calibrated rather than scale-defining.

What the Greer comments do signal is that the politically charged version of the conversation, the one Beijing was preparing to have, did not happen at the summit. That conversation is moving instead between Congress, the Treasury, and the licensing desks at the Commerce Department.

The administration’s next visible chip-policy step is the House floor consideration of the MATCH Act, on a schedule yet to be set. Beijing’s response, on Greer’s reading, will not be coordinated through the summit channel.



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Recent Reviews



Researchers at the University of Washington have developed a new prototype system that could change how people interact with artificial intelligence in daily life. Called VueBuds, the system integrates tiny cameras into standard wireless earbuds, allowing users to ask an AI model questions about the world around them in near real time.

The concept is simple but powerful. A user can look at an object, such as a food package in a foreign language, and ask the AI to translate it. Within about a second, the system responds with an answer through the earbuds, creating a seamless, hands-free interaction.

A Different Approach To AI Wearables

Unlike smart glasses, which have struggled with adoption due to privacy concerns and design limitations, VueBuds takes a more subtle approach. The system uses low-resolution, black-and-white cameras embedded in earbuds to capture still images rather than continuous video.

These images are transmitted via Bluetooth to a connected device, where a small AI model processes them locally. This on-device processing ensures that data does not need to be sent to the cloud, addressing one of the biggest concerns around wearable cameras.

To further enhance privacy, the earbuds include a visible indicator light when recording and allow users to delete captured images instantly.

Engineering Around Power And Performance Limits

One of the biggest challenges the research team faced was power consumption. Cameras require significantly more energy than microphones, making it impractical to use high-resolution sensors like those found in smart glasses.

To solve this, the team used a camera roughly the size of a grain of rice, capturing low-resolution grayscale images. This approach reduces battery usage and allows efficient Bluetooth transmission without compromising responsiveness.

Placement was another key consideration. By angling the cameras slightly outward, the system achieves a field of view between 98 and 108 degrees. While there is a small blind spot for objects held extremely close, researchers found this does not affect typical usage.

The system also combines images from both earbuds into a single frame, improving processing speed. This allows VueBuds to respond in about one second, compared to two seconds when handling images separately.

Performance Compared To Smart Glasses

In testing, 74 participants compared VueBuds with smart glasses such as Meta’s Ray-Ban models. Despite using lower-resolution images and local processing, VueBuds performed similarly overall.

The report showed participants preferred VueBuds for translation tasks, while smart glasses performed better at counting objects. In separate trials, VueBuds achieved accuracy rates of around 83–84% for translation and object identification, and up to 93% for identifying book titles and authors.

Why This Matters And What Comes Next

The research highlights a potential shift in how AI-powered wearables are designed. By embedding visual intelligence into a device people already use, the system avoids many of the barriers faced by smart glasses.

However, limitations remain. The current system cannot interpret color, and its capabilities are still in early stages. The team plans to explore adding color sensors and developing specialised AI models for tasks like translation and accessibility support.

The researchers will present their findings at the Association for Computing Machinery Conference on Human Factors in Computing Systems in Barcelona, offering a glimpse into a future where everyday devices quietly become intelligent assistants.



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