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Tesla’s next Easter Egg will greet car vandals with Bach and Beethoven
Tesla CEO Eon Musk revealed additional details on how the company’s upcoming Sentry Mode theft-deterrent system will function, which includes a humorous look against the background of something as serious as addressing vehicle break-ins. According to Musk’s latest Tweet about the Iron Man-reminiscent feature, when an intrusion is detected while Sentry Mode is activated, composer Johann Sebastian Bach’s Toccata and Fugue in D minor, BWV 565 will play, drawing as much attention as possible to the would-be perpetrator(s). Tesla’s combined commitment to its customers’ safety, security, and more-cowbells-fun is something frequently on display, and this amusing spin on a vehicle alarm system is no different.
But, occasionally, the metal versionhttps://t.co/ogHYUPoA9z
— Elon Musk (@elonmusk) January 27, 2019
Also added to the playlist about tactical intruder mitigation was a heavy metal version of the same 18th-century composer’s masterpiece. As with many of Musk’s Twitter rounds, the Tesla CEO was open to further suggestions and responded accordingly. An appropriately metal version of Beethoven’s Moonlight Sonata was proposed by NicheGamer, to which the Tesla executive agreed to include with the upcoming over-the-air software update. Of course, this isn’t the first time a Tesla has been involved in epic heavy metal music with a classical flair. The Model X features a holiday-themed Easter Egg wherein an entertaining light and winged-door show to the song “Wizards in Winter” by Trans Siberian Orchestra is enacted.
Sentry Mode was first revealed by Musk in a tweet-response to a Tesla owner complaint about a dent found in his car made while the vehicle was parked. While the car manufacturer has been rolling out security improvements over the last few months, including an in-car dash cam system and motion-sensing Enhanced Anti-Theft system, this latest reveal was seemingly in response to the most recent rise in Tesla-targeted thefts popping up all over social media and Internet forums. A few days later, Musk estimated that a ‘rough beta’ would be released in 2 to 3 weeks. While specific official details of the Sentry Mode feature are slim, one of the assumed components is an enhanced use of vehicles’ built-in dashcam, itself developed in response to issues of theft and hit-and-run incidents. The array of sensors and cameras which provide 360-degree visibility on Tesla vehicles equipped with the hardware were leveraged to provide the cam feature in the Version 9.0 software updated in September 2018.
Rough beta in 2 to 3 weeks
— Elon Musk (@elonmusk) January 25, 2019
When Elon Musk takes to Twitter to discuss new product ideas and features, it may not always be clear whether he’s serious, but it’s always amusing to imagine that he is and more often than not a safe bet to take. After all, The Boring Company (TBC), now poised to take on the traditional underground public transportation construction industry, infamously began with a tweet about “soul crushing” traffic. Considering the rapid expansion into TBC merchandising and positive response therefrom – hats, not-a-flamethrowers, etc. – the trend of tweets-turned-tangibles only has reasons to continue.
In the realm of new software features and Easter Eggs, anything Musk says is probably game for reality once Emissions Testing Mode (ETM) went live in a December 2018 software update. After teasing an upcoming “Toilet Humor” feature via Twitter, Tesla drivers saw the tease-promise kept via ETM which gives the option of directing fart noises to emit from a designated seat in the vehicle. In a tweet that sounds like it came from Musk himself, the official Tesla Twitter account recently pointed out that Romance Mode, the fireplace playing, heater-blasting, mood music setting fun feature released at the same time as ETM, “accommodates up to 5” in the Model 3. Whatever that means. Or doesn’t mean.
Altogether, Sentry Mode probably suggests it’s going to be horns-up for anyone nearby while a would-be robber tests out a Tesla vehicle’s proneness to theft. Either that, or anyone subjected to any intrusion detection system’s misidentifications won’t be so annoyed. (See: obnoxious car alarms that don’t quit.) Oh, and as for keeping Summer safe? Let’s hope things don’t come to that. Auto insurance is pricey enough.
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.”
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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.
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
