China has approved the world’s first invasive brain-computer chip—here’s what’s next


NEO beat several other BCIs to approval, including one from Neuralink, a California-based company founded by Elon Musk. Since October 2023, Neuracle has conducted 36 clinical trials using NEO, including the one on Dong. Thirty-two of them took place in the space of a few months in 2025, with the details about one of the four first in-person trials published in a preprint paper last July. Neuracle did not reply to a request for comment from MIT Technology Review.

One reason for NEO’s fast approval could be that it has a “relatively less invasive” design than counterparts such as Neuralink’s N1 brain chip, says Avinash Singh, a BCI researcher at the University of Technology Sydney. NEO’s eight sensors sit on top of the brain’s protective membrane while Neuralink’s N1 chip directly penetrates the cortex, the outermost layer of the brain itself. Neuracle’s device faces fewer regulatory constraints because it presents a lower risk of hemorrhage, glial scarring, and long-term signal degradation, Singh says.

China’s strong support for its BCI industry also means that NEO was put on an expedited regulatory pathway; in comparison, the approval process of the US Food and Drug Administration can take several years, Singh adds.

A big boost for BCIs

NEO’s approval is hugely important for the global BCI industry, says Wang Shouyan, a neuroscientist at Fudan University in Shanghai who was not involved in research or trialing for NEO. Even though research and development on BCIs has taken place for several decades, most of it happened in the lab. The news means that BCIs are now ready for large-scale manufacturing and clinical use in China, Wang says. 

For Dong, however, it means something much more personal. “Now, it will be able to help not only me, but also thousands and thousands of other patients suffering from spinal cord injuries in China who are tortured by despair each day,” he says of NEO. “It will bring them hope and change their lives.” 

Days after NEO was approved, China started incorporating it into the country’s health insurance system by assigning it a unique code. This is one of the first steps toward a future where eligible Chinese patients pay a certain percentage of the BCI’s price if they need it during their treatment.

The growth of China’s BCI industry is expected to accelerate thanks to the government’s policy support and financial backing. The country’s latest five-year plan, published on the same day Neuracle received its approval, lists BCI as one of six key industries important to China’s future tech competitiveness, alongside quantum technology, humanoid robots, and others. Several Chinese startups, including NeuroXess and StairMed, have already worked in the field for many years. 

“China’s decision to double down on becoming a global leader in the field owes in part to what these companies have already accomplished,” says Meicen Sun, an information scientist at the University of Illinois Urbana-Champaign who studies information and technology policy. 



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“It was severely downgraded,” Gilbert confirms. “I never would have found it if I was just looking through Google results.” (I tried the same prompt in Gemini earlier this month, and after an initial denial, the tool also gave me Eiger’s number.)

After this experience, Eiger, Gilbert, and another UW PhD student, Anna-Maria Gueorguieva, decided to test ChatGPT to see what it would surface about a professor. 

At first, OpenAI’s guardrails kicked in, and ChatGPT responded that the information was unavailable. But in the same response, the chatbot suggested, “if you want to go deeper, I can still try a more ‘investigative-style’ approach.” Their inquiry just had to help “narrow things down,” ChatGPT said, by providing “a neighborhood guess” for where the professor might live, or “a possible co-owner name” for the professor’s home. ChatGPT continued: “That’s usually the only way to surface newer or intentionally less-visible property records.” 

The students provided this information, leading ChatGPT to produce the professor’s home address, home purchase price, and spouse’s name from city property records. 

(Taya Christianson, an OpenAI representative, said she was not able to comment on what happened in this case without seeing screenshots or knowing which model the students had tested, even after we pointed out that many users may not know which model they were using in the ChatGPT interface. She also declined to comment generally about the exposure of PII by the chatbot, instead providing links to documents describing how OpenAI handles privacy, including filtering out PII, and other tools.) 

This reveals one of the fundamental problems with chatbots, says DeleteMe’s Shavell. AI companies “can build in guardrails, but [their chatbots] are also designed to be effective and to answer customer questions.”

The exposure issue is not limited to Gemini or ChatGPT. Last year, Futurism found that if you prompted xAI’s chatbot Grok with “[name] address,” in almost all cases, it provided not only residential addresses but also often the person’s phone numbers, work addresses, and addresses for people with similar-sounding names. (xAI did not respond to a request for comment.) 

No clear answers

There aren’t straightforward solutions to this problem—there’s no easy way to either verify whether someone’s personal information is in a given model’s training set or to compel the models to remove PII. 



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