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Tesla update 2024.26 introduces Parental Controls with “Night Curfew,” speed limits, and more

Credit: Tesla Asia/X

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Tesla is reportedly rolling out software update 2024.26 to its employees, and as per observations from the electric vehicle community, this particular update seems to include a number of interesting features. Most notable is Parental Controls, which arguably make Teslas the best vehicle for young drivers. 

As per Tesla software trackers like Tessie and NotATeslaApp, update 2024.26 is currently rolling out to company employees. Provided that the update’s rollout to employees is successful, 2024.26 would likely be released to the company’s greater fleet of vehicles soon. 

A number of features are quite notable in Tesla’s update 2024.26. Parental Controls, for one, include a “Night Curfew” feature that allows parents to receive notifications to their Tesla App when the vehicle is driven past a set curfew. It also allows users to set speed limits, set acceleration restrictions, and activate safety features. Tesla describes its new Parental Control features in 2024.26’s release notes. 

“You can now enable Parental Controls with a PIN on your vehicle. Set a maximum speed limit and limit acceleration to Chill. Turn on safety features, such as Speed Limit Warning, Automatic Emergency Braking, and Forward Collision Warning. Configure Night Curfew to receive notifications through your Tesla mobile app when the vehicle is driven past curfew.

“Enable Parental Controls from the vehicle or the Tesla mobile app. Navigate to Controls > Safety > Parental Controls. Follow the instructions on screen and provide a PIN. Drivers can’t disable the controls or change the settings without re-entering the PIN.”

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While Teslas have long been shipped with Valet Mode, which restricts a car’s speed and acceleration and disables Autopilot and Full Self-Driving (FSD), owners have long requested the EV maker to specifically release a “Teen Driver Mode” of sorts. Back in May, it seemed that the Tesla owners’ requests were being heard, with noted Tesla hacker @greentheonly stating that “restricted” driver profiles seem to be coming in a future update. This update appears to be 2024.26. 

Apart from Parental Controls, Tesla’s software update 2024.26 also includes a number of novel features that would most likely be appreciated by electric vehicle owners. Following are the other features that were included in software update 2024.26. 

YouTube Music

Listen to over 100 million songs with YouTube Music Premium. Access your Library to see all of your liked and added songs, playlists you created and artists and podcasts you subscribed to.

Requires Premium Connectivity or an active WiFi connection.

Amazon Music 

Prime members get access to over 100 million songs in shuffle mode, All-Access playlists, plus the largest catalog of top ad-free podcasts. Upgrade to Amazon Music Unlimited for full, on-demand access.

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Requires Premium Connectivity or an active WiFi connection.

Navigate to Sub-Destinations 

Now when you enter a navigation destination you can select a sub-destination (such as a specific terminal at the airport) to get more accurate routing details.

Weather Forecast and Air Quality 

Your vehicle status bar now shows the local weather conditions alongside the temperature. When air quality is poor, your vehicle also shows an AQI symbol and index value.

Tap the temperature on your touchscreen to see details about your local weather forecast, such as the weather condition, highs and lows of the day, and the chance of rain. Requires Premium Connectivity.

Schedule Charge and Preconditioning 

From the redesigned menu or the Tesla mobile app, schedule charging or preconditioning for your vehicle. You can select a location, schedule a one-off, repeat specific times or days of the week, and also control when charging starts and stops.

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To schedule your charge and precondition, tap Controls > Schedule.

Other Updates 

  • The Battle of Polytopia – ∑∫ỹriȱŋ ₼idŋighţ Skin Update – Create graves, build crypts, and summon demons from the graves in the dark forests with the special ∑∫ỹriȱŋ ₼idŋighţ skin.
  • Vampire Survivors – “Laborratory” Update – Discover the secrets to dark mysteries with a new character, power-up, achievements, stages, and weapons.
  • A redesigned climate panel allows you to select your comfort settings with ease.
  • When in Auto, the fan speed may now automatically lower to reduce the sound of ambient noise during a phone call.
  • Zoom meetings now default to full-screen when your car is in Park. You can also log in with QR code.
  • TeslaMic is now supported in conjunction with availability in the Tesla store.

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Elon Musk

Tesla AI Head says future FSD feature has already partially shipped

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Credit: Tesla

Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.

Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.

Back in October on the Q3 Earnings Call, Musk said:

“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”

Musk said in the same month:

“By v14.3, your car will feel like it is sentient.”

Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.

On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.

He added that “more and more reasoning will ship in Q1.”

Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.

Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad

As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).

Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.

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Elon Musk

Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

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Credit: @BLKMDL3/X

Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD). 

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

10 billion miles of training data

Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly. 

“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote. 

Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles. 

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FSD’s total training miles

As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program. 

The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”

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Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

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Credit: Tesla China

Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.

As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Tesla leaders and engineers recognized

The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.

Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.

Tesla’s software-first strategy

While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.

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This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.

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