With the Tesla holiday update, the automaker is finally bringing track mode to the Model Y Performance and a set of new capabilities.
Tesla Model Y owners have literally been asking for track mode for years. The software available on the Tesla Model 3 counterpart brings some fantastic features that make the vehicle an ideal electric track toy. Now that functionality has finally been made available on the Model Y via Tesla’s holiday software update.
Apple Music now goes to 11 ?
— Tesla (@Tesla) December 13, 2022
Tesla’s second-generation track mode came out two years ago, and it revitalized the software. It allows the driver to make up to 20 track mode profiles, and each can have custom settings for handling balance, stability assist, regenerative braking, post-drive cooling, and compressor overclocking. On top of that, it gives the driver a new level of analysis via the car’s onboard accelerometer data, battery/motor/brake/tire data, and even GPS-based track timing. And if these settings weren’t cool enough, track mode allows the driver to record their laps via the car’s onboard cameras, which can then be used to brag to their friends (or whatever you do with a track recording).
The full release notes are available below:
Track Mode has been improved to make it easier to monitor the status of your car, create custom track mode settings profiles and record your track day data.
Monitor the status of your car motors, battery, brakes, and tires, allowing you to adjust your driving in real-time. G-meter, a real-time accelerometer, can now be viewed in the Cards area of the touchscreen. The map now displays a Lap Timer. Follow the onscreen instructions to place a start/finish pin on the map. At the completion of each lap, the Lap Timer displays the duration of the lap. It also displays the times associated with the previous and best laps in the driving session.
Track Mode allows you to save up to 20 Track Mode profiles to suit your preferences or driving scenario, or customize for a specific track. A new settings profile can be created by tapping Track Mode Settings > Add New Settings, entering a name for the settings profile, then adjusting settings including Handling Balance, Stability Assist, Regenerative Braking, Post-Drive Cooling and Compressor Overclock. Refer to the Owner’s Manual for more information regarding each setting.
You can now save a video and data of the Track Mode driving session to a plugged in USB flash drive which must contain a folder named “TeslaTrackMode” (without the quotation marks). When “Save Dashcam for Laps” is enabled, Track Mode stores a video of each lap in a driving session when using the Lap Timer. Track Mode also stores the car status and telemetry data including details about the vehicle’s position, speed, acceleration, and use of accelerator which is stored as a .CSV file on the USB flash drive.
While some have pointed out that the Model 3 is the more ideal vehicle for the track due to its smaller size, better aerodynamics, and lower center of gravity, the Model Y offers a better user experience for someone who wants to track their vehicle less frequently, or for someone who doesn’t want to take their car to competitions.
As Tesla vehicles become more recognized for their performance prowess, more capabilities will likely come to track mode in the coming years. And as shown by Unplugged Performance, physical upgrades are following closely behind.
The newest Tesla update brought a wealth of other improvements ahead of the holiday season. The update shows the incredible benefit of over-the-air updates in general, making Tesla’s vehicles better without even moving them. Hopefully, this functionality will spread to other brands quickly in the coming years and allow for an ever-improving ownership experience for everyone.
What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!
News
Tesla Model 3 gets perfect 5-star Euro NCAP safety rating
Tesla prides itself on producing some of the safest vehicles on the road today.

Tesla prides itself on producing some of the safest vehicles on the road today. Based on recent findings from the Euro NCAP, the 2025 Model 3 sedan continues this tradition, with the vehicle earning a 5-star overall safety rating from the agency.
Standout Safety Features
As could be seen on the Euro NCAP’s official website, the 2025 Model 3 achieved an overall score of 90% for Adult Occupants, 93% for Child Occupants, 89% for Vulnerable Road Users, and 87% for Safety Assist. This rating, as per the Euro NCAP, applies to the Model 3 Rear Wheel Drive, Long Range Rear Wheel Drive, Long Range All Wheel Drive, and Performance All Wheel Drive.
The Euro NCAP highlighted a number of the Model 3’s safety features, such as its Active Hood, which automatically lifts during collisions to mitigate injury risks to vulnerable road users, and Automatic Emergency Braking System, which now detects motorcycles through an upgraded algorithm. The Euro NCAP also mentioned the Model 3’s feature that prevents initial door opening if someone is approaching the vehicle’s blind spot.
Standout Safety Features
In a post on its official Tesla Europe & Middle East account, Tesla noted that the company is also introducing new features that make the Model 3 even safer than it is today. These include functions like head-on collision avoidance and crossing traffic AEB, as well as Child Left Alone Detection, among other safety features.
“We also introduced new features to improve Safety Assist functionality even further – like head-on collision avoidance & crossing traffic AEB – to detect & respond to potential hazards faster, helping avoid accidents in the first place.
“Lastly, we released Child Left Alone Detection – if an unattended child is detected, the vehicle will turn on HVAC & alert caregivers via phone app & the vehicle itself (flashing lights/audible alert). Because we’re using novel in-cabin radar sensing, your Tesla is able to distinguish between adult vs child – reduced annoyance to adults, yet critical safety feature for kids,” Tesla wrote in its post on X.
Below is the Euro NCAP’s safety report on the 2025 Tesla Model 3 sedan.
Euroncap 2025 Tesla Model 3 Datasheet by Simon Alvarez on Scribd
Elon Musk
USDOT Secretary visits Tesla Giga Texas, hints at national autonomous vehicle standards
The Transportation Secretary also toured the factory’s production lines and spoke with CEO Elon Musk.

United States Department of Transportation (USDOT) Secretary Sean Duffy recently visited Tesla’s Gigafactory Texas complex, where he toured the factory’s production lines and spoke with CEO Elon Musk. In a video posted following his Giga Texas visit, Duffy noted that he believes there should be a national standard for autonomous vehicles in the United States.
Duffy’s Giga Texas Visit
As could be seen in videos of his Giga Texas visit, the Transportation Secretary seemed to appreciate the work Tesla has been doing to put the United States in the forefront of innovation. “Tesla is one of the many companies helping our country reach new heights. USDOT will be right there all the way to make sure Americans stay safe,” Duffy wrote in a post on X.
He also praised Tesla for its autonomous vehicle program, highlighting that “We need American companies to keep innovating so we can outcompete the rest of the world.”
National Standard
While speaking with Tesla CEO Elon Musk, the Transportation Secretary stated that other autonomous ride-hailing companies have been lobbying for a national standard for self-driving cars. Musk shared the sentiment, stating that “It’d be wonderful for the United States to have a national set of rules for autonomous driving as opposed to 50 independent sets of rules on a state-by-state rules basis.”
Duffy agreed with the CEO’s point, stating that, “You can’t have 50 different rules for 50 different states. You need one standard.” He also noted that the Transportation Department has asked autonomous vehicle companies to submit data. By doing so, the USDOT could develop a standard for the entire United States, allowing self-driving cars to operate in a manner that is natural and safe.
News
Tesla posts Optimus’ most impressive video demonstration yet
The humanoid robot was able to complete all the tasks through a single neural network.

When Elon Musk spoke with CNBC’s David Faber in an interview at Giga Texas, he reiterated the idea that Optimus will be one of Tesla’s biggest products. Seemingly to highlight the CEO’s point, the official Tesla Optimus account on social media platform X shared what could very well be the most impressive demonstration of the humanoid robot’s capabilities to date.
Optimus’ Newest Demonstration
In its recent video demonstration, the Tesla Optimus team featured the humanoid robot performing a variety of tasks. These include household chores such as throwing the trash, using a broom and a vacuum cleaner, tearing a paper towel, stirring a pot of food, opening a cabinet, and closing a curtain, among others. The video also featured Optimus picking up a Model X fore link and placing it on a dolly.
What was most notable in the Tesla Optimus team’s demonstration was the fact that the humanoid robot was able to complete all the tasks through a single neural network. The robot’s actions were also learned directly from Optimus being fed data from first-person videos of humans performing similar tasks. This system should pave the way for Optimus to learn and refine new skills quickly and reliably.
Tesla VP for Optimus Shares Insight
In a follow-up post on X, Tesla Vice President of Optimus (Tesla Bot) Milan Kovac stated that one of the team’s goals is to have Optimus learn straight from internet videos of humans performing tasks, including footage captured in third person or by random cameras.
“We recently had a significant breakthrough along that journey, and can now transfer a big chunk of the learning directly from human videos to the bots (1st person views for now). This allows us to bootstrap new tasks much faster compared to teleoperated bot data alone (heavier operationally).
“Many new skills are emerging through this process, are called for via natural language (voice/text), and are run by a single neural network on the bot (multi-tasking). Next: expand to 3rd person video transfer (aka random internet), and push reliability via self-play (RL) in the real-, and/or synthetic- (sim / world models) world,” Kovac wrote in his post on X.
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