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Tesla’s Holiday Update arrives: Apple Music, Dog Mode improvements, Light Show upgrade
Tesla’s Holiday Software Update is officially rolling out to owners, featuring the long-awaited arrival of Apple Music, improvements to Dog Mode, new features with the Christmas Light Show, and more.
Tesla has started deploying Software Update 2022.44.25.1, as Canadian owner James Locke shared the Holiday Package’s release notes via Twitter.
@Tesla holiday update incoming! This is on our Canadian Model 3 SR+ in the NWT. ❤️ Thank you @elonmusk pic.twitter.com/JGeK9gFr7S
— James Locke (@arctechinc) December 13, 2022
Apple Music
As we reported last week, Tesla will add Apple Music to its vehicles as a part of the Holiday Software Update. After it was spotted on a Tesla unit within an exhibit at the Petersen Automotive Museum last month, speculation seemed to indicate the automaker would finally add the feature. It has officially arrived.
“Stream over 100 million songs and 30,000 playlists ad-free. Listen to your entire library, discover new music and tune into live radio stations. To access Apple Music, tap the Apple Music icon in the Application Launcher, scan the QR code with your mobile device, and login with your Apple ID,” Tesla wrote in the release notes.
Dog Mode Improvements
Do you wonder what your pup is doing in the car while you’re running a quick errand inside a store? The new improvements to Dog Mode will allow you to do so.
“View the interior camera from the mobile app while using Dog Mode or Sentry Mode. To enable Live Camera, tap Controls > Safety > View Live Camera via Mobile App.
Dog Mode has been widely popular amongst owners as it allows them to keep their pets in their car in a safe environment. The climate is set to a temperature desired by the owner, and a large message tells others that the vehicle is comfortable for the animal to avoid any confusion.
Tesla Dog Mode protects pets from hot interior cabins. (Credit: Tesla)
Scheduled Light Show
Everyone who has followed Tesla for relatively any amount of time knows about the Transiberian Orchestra Light Show with the Model X. Now, Tesla is taking the feature a step further with a scheduled light show, along with new, longer custom shows.
“Schedule the Light Show for up to 10 minutes in advance or watch a multi-car orchestra by setting them to start simultaneously. Celebrate New Year’s with the Auld Land Syne show or create longer custom shows.
Tesla Model Y gets Track Mode
After numerous requests from owners to CEO Elon Musk, it appears Tesla’s Track Mode will also be included in the Holiday Update.
? Track Mode on Model Y Performance is now available with 2022.44.25.1!
— Teslascope (@teslascope) December 13, 2022
In November, Musk confirmed the feature would be added soon. Tesla owners have waited several years for the automaker to add Track Mode to the Model Y Performance.
Top 10 Tesla Track Mode V2 features for the Model 3 Performance
Other Holiday Software Update Features
Tesla has added several other features in the Holiday Update, which are listed below.
- Climate Control Fan Speed
- Adjust fan speed intensity while remaining in AUTO climate by selecting between ‘LO,’ ‘MED,’ and ‘HI’ from the fan intensity selector on the climate control popup.
- myQ Connected Garage
- myQ Connected Garage door openers are now supported. Monitor and control your garage door remotely using your vehicle’s touchscreen. To set up, tap Controls > Locks > myQ Connected Garage > Link Account, and follow the instructions
- Auto Turn Signals
- Turn signals can now automatically deactivate upon completing a land change, fork, or merge. Tap Controls > Lights > Auto Turn Signals
- Mahjong
- The relaxing tile match game has been elevated with a clean, modern design, smooth animations, and calming sounds. Match identical tiles. A tile is playable if it is open on the left or right and isn’t covered by another tile. Continue pairing tiles to clear the board and your mind!
- Confirm Phone Call Transfer
- Active phone calls from a mobile device connected to the vehicle via Bluetooth will now request confirmation before transferring audio to the vehicle.
- Contact Lookup
- Search for contacts from a connected Bluetooth device. To access, tap the Application Launcher > Phone > Contacts > Search icon.
- Media Controls
- Media controls are closer to the driver for easy access. Swipe up to access ‘Recents & Favorites’ and ‘Sources.’ Swipe left or right to also access trips and tire pressure information.
- Emissions Testing Mode via Mobile App
- Emissions Testing Mode can now be used from the Mobile App. Long press any quick controls icon from the home screen and drag the ‘Fart’ icon to the top row.
- Always Rainbows
- Allow your driving visualization to show Rainbow Road when Autopilot is active. To enable, tap the Application Launcher > Toybox > Rainbow Road > Always Rainbows.
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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.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
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.
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.”
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.
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.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
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.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
