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Tesla Model S misses top safety rating by Insurance Institute for Highway Safety

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Tesla’s 2017 Model S has missed the Insurance Institute for Highway Safety’s (IIHS) top-safety pick+ rating, citing issues with the small overlap front test. Tesla had made changes to the vehicle in January to fix issues in this area, but the IIHS test results show otherwise.

“Tesla made changes to the safety belt in vehicles built after January with the intent of reducing the dummy’s forward movement,” IIHS said in a statement today. “However, when IIHS tested the modified Model S, the same problem occurred, and the rating didn’t change.”

The small overlap front test is meant to simulate crashes into trees, poles, and other vehicles. IIHS EVP & chief research officer David Zuby said that the small overlap front test still remains a “hurdle” for some vehicles, including vehicles with existing “stellar” ratings.

Tesla’s changes to the vehicle in January were largely focused on the seat belt, but inconsistent wheel movement in the test actually performed worse than the previous test vehicle. “Maximum intrusion increased from less than 2 inches to 11 inches in the lower part and to 5 inches at the instrument panel in the second test,” IIHS said in their statement.

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Tesla responded to the report, saying that Model S received the highest rating in IIHS’s crash testing in every category except in the overlap front crash test, where it received the second highest rating available. “IIHS and dozens of other private industry groups around the world have methods and motivations that suit their own subjective purposes,” said a spokesperson from Tesla.

2017 Tesla Model S received an “acceptable” rating the IIHS on the small overlap front test (Photo: IIHS)

The test also damaged the front left portion on the battery pack, but the test vehicle didn’t contain battery cells in that area. The damage to the battery pack didn’t cause any changes to the rating.

“The greater deformation in the second test also resulted in damage to the left front corner of the battery case. The deformation was limited to an area that didn’t contain battery cells in the tested vehicle, so this damage didn’t affect the rating. Higher-performance variants of the Model S could have battery cells in this area, but, according to Tesla, they also have different structure. They haven’t been tested separately and aren’t covered by this rating.” reads the IIHS report.

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IIHS tests also concluded that the Tesla Model S headlights earned a poor rating because they have yet to be rated for front crash prevention. The agency also noted that they were unable to test the vehicle’s automatic emergency braking system as Tesla only recently activated the feature via a software update.

Despite Model S’ top safety rating by the NHTSA, the person who oversaw the IIHS Model S crash test said, “If you’re looking for top-line safety, we believe there are other, better choices than the Model S.”

Vehicles winning the Top Safety Pick+ include the Lincoln Continental, Mercedes-Benz E-Class, and the Toyota Avalon. The Tesla Model S received the highest rating in every other category besides the small overlap front test. The Tesla Model X recently received a 5-star safety rating from the NHTSA.

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Christian Prenzler is currently the VP of Business Development at Teslarati, leading strategic partnerships, content development, email newsletters, and subscription programs. Additionally, Christian thoroughly enjoys investigating pivotal moments in the emerging mobility sector and sharing these stories with Teslarati's readers. He has been closely following and writing on Tesla and disruptive technology for over seven years. You can contact Christian here: christian@teslarati.com

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Tesla owners surpass 8 billion miles driven on FSD Supervised

Tesla shared the milestone as adoption of the system accelerates across several markets.

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Credit: Tesla

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.

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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.

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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.

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(Credit: The Boring Company)

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. 

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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.”

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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.

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Credit: Tesla

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.

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.

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