Considering Tesla’s history and Elon Musk’s celebrity status, it is no surprise that every update from the electric car maker results in some degree of scrutiny. And as the number of Tesla owners continues to grow, the amount of scrutiny towards the company has also increased. This became quite notable as Tesla rolled out this year’s Holiday Update.
This year’s Holiday Update featured changes to the vehicles’ driving visualizations, new games like Polytopia, and fun features like Boombox. Needless to say, these updates attracted some degree of criticism. This was quite evident especially among a number of longtime owners, some of whom rejected Elon Musk’s efforts to promote Tesla’s new entertainment features.
While criticisms about this year’s Holiday Update are legitimate to a point, it should be noted that a lot of Tesla’s updates usually end up being extremely useful down the road. This was something that was mentioned by Elon Musk on Twitter when he stated that ultimately, entertainment features will be critical in a market where self-driving vehicles are the norm.
Such statements may sound like typical Musk future-speak, but the CEO has a point. Regardless of one’s stance on Tesla’s full self-driving strategy, the fact remains that the company’s driver-assist features are rapidly advancing. This was exhibited recently when the FSD beta was able to complete a zero-intervention trip down Lombard Street just over a month after it was humbled sorely by the extremely crooked road. Recent updates from members of the limited FSD beta also show that the advanced driver-assist system is behaving more and more humanlike.
It should be noted that Tesla’s FSD beta has only been deployed on public roads for a couple of months. And while its release is very limited for now, the system itself has been improving rapidly. There’s a fair chance that FSD will achieve true hands-free driving at a time later than Elon Musk’s optimistic estimates, but there is hardly any doubt that autonomous driving will happen.
Assuming that Tesla’s FSD software does reach its potential, then the company would offer a vehicle ownership experience that is unlike anything on the market. In such a scenario, entertainment features as predicted by Elon Musk would definitely be critical. Once cars drive themselves, after all, passengers would require something to ease their boredom. Games, video streaming, and other entertainment features would definitely be a good way to achieve such a goal.
This is something that very few carmakers today seem to be exploring. Even companies like Lucid Motors, which is also working on an advanced driver-assist system for the Air, has its displays set up quite similarly to a conventional car. The same is true for the Ford Mustang Mach-E, whose vertical display will likely be just as optimized for media consumption as the infotainment system of the Model S and Model X today.
There is no doubt that the infotainment systems in the Air and the Mach-E will be amazing for the near term. But for a time when autonomous cars are the norm and people are used to being driven around by full self-driving vehicles, a passenger riding in a humble Model 3 would likely be more engaged than one riding in Ford’s crossover.
This is understandable. Predicting what will be valuable to a market that is yet to exist is very tricky. Fortunately for Tesla, Elon Musk appears to have a knack for predicting just what the market will need a decade or so down the road. With this in mind, Tesla’s apparent entertainment-laden 2020 Holiday Update may end up being part of the groundwork for something valuable after all.
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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
