Tesla has released a new statement concerning recent developments of security concerns with its China-built cars. Recently, Tesla’s all-electric vehicles underwent a security review from Chinese officials, who were concerned that the cameras on and inside of the vehicle could be used to transmit sensitive government information to the U.S. as relations between the two countries have been complicated.
Chinese Gov’t tells Military, Gov’t personnel not to drive Teslas on State-related property
In the initial article from the Wall Street Journal from mid-March, Chinese government officials raised privacy concerns regarding the eight external and single cabin cameras outfitted on Tesla vehicles. Government employees, workers for State-related contractors, and Military personnel were all told to refrain from navigating Tesla cars on sensitive properties. The cameras on a Tesla are used for several reasons. Still, several Chinese government interests believed that they could be utilized to collect sensitive information that the United States could use against China.
In response to the accusations, Tesla CEO Elon Musk responded by stating that its vehicles are not recording any information that the government could utilize because of legal issues. “There’s a very strong incentive for us to be very confidential with any information. If Tesla used cars to spy in China or anywhere, we will get shut down,” Musk said in an interview shortly after the WSJ article.
Tesla’s Company Response: Cameras aren’t active
Tesla has officially responded to the Chinese government’s concerns in posting on the Customer Support Weibo account it operates in China. The statement indicates that the cabin cameras are not activated outside of the North American market and that it is up to the driver to determine whether the camera needs to be active or stagnant.
The company went into more detail (via AutoHome China):
“Recently, there has been a discussion on the Internet about ‘Tesla monitors the owner through the camera in the car.’ In order to eliminate unnecessary misunderstandings, the following is specifically stated:
The vehicles used by Tesla users do not infringe on the privacy of users through the in-vehicle camera.
All Tesla user vehicles on the Chinese market have not turned on their in-vehicle cameras, nor are they involved in FSD Beta testing.
Tesla’s privacy protection policy complies with national laws and regulations. Like you, Tesla attaches great importance to the protection of user privacy. We are equipped with a network security system with the world’s leading security level to ensure user privacy protection. Thank you again for your attention to Tesla.”
The cabin camera was recently activated to monitor drivers who are a part of the FSD Beta program. The cabin camera is used to monitor whether the driver is paying attention to the road and its surroundings. If the vehicle’s cabin camera notices the driver is not attentive, it will revoke FSD Beta testing capabilities from that driver. It is a safety precaution to ensure the Beta testing sequence of Tesla’s Full Self-Driving systems goes smoothly, as an accident or mistake caused by an inattentive driver could send Tesla’s development of semi-autonomous driving functionalities back several years.
However, FSD Beta is only available to drivers in the United States at the current time, but it could make its way to Canada and other markets shortly. However, the Chinese market is not being used to test the FSD Beta, and there is no indication of when Tesla will roll out the functionality to other regions. Ultimately, it comes down to traffic and road rules being understood by Tesla’s self-driving software. “Very important to make sure this is done right,” Musk once said when talking about the suspended release of the FSD suite in other countries.
Elon Musk
Tesla owners surpass 8 billion miles driven on FSD Supervised
Tesla shared the milestone as adoption of the system accelerates across several markets.
Tesla owners have now driven more than 8 billion miles using Full Self-Driving Supervised, as per a new update from the electric vehicle maker’s official X account.
Tesla shared the milestone as adoption of the system accelerates across several markets.
“Tesla owners have now driven >8 billion miles on FSD Supervised,” the company wrote in its post on X. Tesla also included a graphic showing FSD Supervised’s miles driven before a collision, which far exceeds that of the United States average.
The growth curve of FSD Supervised’s cumulative miles over the past five years has been notable. As noted in data shared by Tesla watcher Sawyer Merritt, annual FSD (Supervised) miles have increased from roughly 6 million in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025. In just the first 50 days of 2026, Tesla owners logged another 1 billion miles.
At the current pace, the fleet is trending towards hitting about 10 billion FSD Supervised miles this year. The increase has been driven by Tesla’s growing vehicle fleet, periodic free trials, and expanding Robotaxi operations, among others.
Tesla also recently updated the safety data for FSD Supervised on its website, covering North America across all road types over the latest 12-month period.
As per Tesla’s figures, vehicles operating with FSD Supervised engaged recorded one major collision every 5,300,676 miles. In comparison, Teslas driven manually with Active Safety systems recorded one major collision every 2,175,763 miles, while Teslas driven manually without Active Safety recorded one major collision every 855,132 miles. The U.S. average during the same period was one major collision every 660,164 miles.
During the measured period, Tesla reported 830 total major collisions with FSD (Supervised) engaged, compared to 16,131 collisions for Teslas driven manually with Active Safety and 250 collisions for Teslas driven manually without Active Safety. Total miles logged exceeded 4.39 billion miles for FSD (Supervised) during the same timeframe.
Elon Musk
The Boring Company’s Music City Loop gains unanimous approval
After eight months of negotiations, MNAA board members voted unanimously on Feb. 18 to move forward with the project.
The Metro Nashville Airport Authority (MNAA) has approved a 40-year agreement with Elon Musk’s The Boring Company to build the Music City Loop, a tunnel system linking Nashville International Airport to downtown.
After eight months of negotiations, MNAA board members voted unanimously on Feb. 18 to move forward with the project. Under the terms, The Boring Company will pay the airport authority an annual $300,000 licensing fee for the use of roughly 933,000 square feet of airport property, with a 3% annual increase.
Over 40 years, that totals to approximately $34 million, with two optional five-year extensions that could extend the term to 50 years, as per a report from The Tennesean.
The Boring Company celebrated the Music City Loop’s approval in a post on its official X account. “The Metropolitan Nashville Airport Authority has unanimously (7-0) approved a Music City Loop connection/station. Thanks so much to @Fly_Nashville for the great partnership,” the tunneling startup wrote in its post.
Once operational, the Music City Loop is expected to generate a $5 fee per airport pickup and drop-off, similar to rideshare charges. Airport officials estimate more than $300 million in operational revenue over the agreement’s duration, though this projection is deemed conservative.
“This is a significant benefit to the airport authority because we’re receiving a new way for our passengers to arrive downtown at zero capital investment from us. We don’t have to fund the operations and maintenance of that. TBC, The Boring Co., will do that for us,” MNAA President and CEO Doug Kreulen said.
The project has drawn both backing and criticism. Business leaders cited economic benefits and improved mobility between downtown and the airport. “Hospitality isn’t just an amenity. It’s an economic engine,” Strategic Hospitality’s Max Goldberg said.
Opponents, including state lawmakers, raised questions about environmental impacts, worker safety, and long-term risks. Sen. Heidi Campbell said, “Safety depends on rules applied evenly without exception… You’re not just evaluating a tunnel. You’re evaluating a risk, structural risk, legal risk, reputational risk and financial risk.”
Elon Musk
Tesla announces crazy new Full Self-Driving milestone
The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.
Tesla has announced a crazy new Full Self-Driving milestone, as it has officially confirmed drivers have surpassed over 8 billion miles traveled using the Full Self-Driving (Supervised) suite for semi-autonomous travel.
The FSD (Supervised) suite is one of the most robust on the market, and is among the safest from a data perspective available to the public.
On Wednesday, Tesla confirmed in a post on X that it has officially surpassed the 8 billion-mile mark, just a few months after reaching 7 billion cumulative miles, which was announced on December 27, 2025.
Tesla owners have now driven >8 billion miles on FSD Supervisedhttps://t.co/0d66ihRQTa pic.twitter.com/TXz9DqOQ8q
— Tesla (@Tesla) February 18, 2026
The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.
The milestone itself is significant, especially considering Tesla has continued to gain valuable data from every mile traveled. However, the pace at which it is gathering these miles is getting faster.
Secondly, in January, Musk said the company would need “roughly 10 billion miles of training data” to achieve safe and unsupervised self-driving. “Reality has a super long tail of complexity,” Musk said.
Training data primarily means the fleet’s accumulated real-world miles that Tesla uses to train and improve its end-to-end AI models. This data captures the “long tail” — extremely rare, complex, or unpredictable situations that simulations alone cannot fully replicate at scale.
This is not the same as the total miles driven on Full Self-Driving, which is the 8 billion miles milestone that is being celebrated here.
The FSD-supervised miles contribute heavily to the training data, but the 10 billion figure is an estimate of the cumulative real-world exposure needed overall to push the system to human-level reliability.