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How to activate Tesla Dyno Mode in 3 steps for performance testing

Tesla Model 3 - How To Activate Dyno Mode (Source: DragTimes | YouTube)

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Tesla Dyno Mode can be activated in three easy steps for owners looking to test performance of their all-electric vehicle on a dynamometer and in a controlled setting.

Tesla owner and Drag Times YouTuber Brooks Weisblat posted a video on how to turn on the Dyno Mode on a Model 3 and see how the secret mode affected the car’s performance.

Information on how to enable Model 3 Dyno Mode is also documented on a Tesla EPA filing dated October 2019. The said document details how a user can activate the Dyno Mode in three easy steps.

How to activate Tesla Dyno Mode

  1. Vehicle must be in Park.
  2. While holding down left (turn signal) stalk, press and hold the Tesla “T” logo at the top of the screen.
  3. Enter Dyno Mode activation password, “dynotest”.

Dyno Mode can be deactivated by the user by pressing the “Power Off” button within the Safety & Securit tab of the UI.

Once the Dyno Mode is activated the car will prompt drivers with a warning that the vehicle is on Dyno Mode and that one should not drive on public roads. With the Dyno Mode on the vehicle’s traction control is disabled, stability control is disabled, as well as automatic emergency braking.

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“Fair warning — be very, very careful,” said Weisblat.

The Dyno Mode was specifically created to have representative driving controls while testing the vehicle on a chassis dynamometer or a rolling-road dyno where proper vehicle testing and calibration are done.

Weisblat went for a drive to test the performance of the vehicle. Without a Dyno Mode on, his Tesla Model 3 was able to hit 60 mph from a full stop in 3.1 seconds. According to him, his best time historically is 2.9999.

The DragTimes YouTuber turned on Dyno Mode and did another 0-60 mph test and clocked in 3.1 seconds but felt a bit of wheelspin. He gave it a few more tries and was able to clock 3.027 seconds on better pavement. Tesla pegs the 0-60mph time of the Model 3 Performance at 3.2 seconds while its Long Range All-Wheel Drive and Standard Plus versions clock 4.4 seconds and 5.3 seconds, respectively.

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Weisblat’s final opinion on the Model 3 Dyno Mode is that it provides a slight improvement but might provide a bit more on a sticky drag track but it’s hard to tell.

“Dyno Mode, it’s pretty much just used for if you’re gonna dyno the car,” he said.

But of course, Model 3 owners who want to drift their Model 3s need to switch off its amazing traction control. Some owners turn off a wheel sensor but the system can go haywire since something is missing. The system will turn off ABS, Autopilot, regenerative braking, and even power steering. Furthermore, taking a wheel sensor out can potentially damage a vehicle.

Again, the Tesla Dyno Mode was created for testing Teslas on a dynamometer. If one will try to drive while it’s on, better stay away from other cars or pedestrians, or better yet, do it on a track.

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Here’s the new Tesla Dyno Mode video from Drag Times:

Teslarati does not condone the use of Dyno Mode. Any information or opinion expressed in this article is to be processed at the discretion of the reader.

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A curious soul who keeps wondering how Elon Musk, Tesla, electric cars, and clean energy technologies will shape the future, or do we really need to escape to Mars.

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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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