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Tesla gives update for early FSD adopters with legacy Model S, Model X vehicles
Longtime Tesla FSD adopters with legacy vehicles recently received an update from the electric car maker. The update sheds some light on what is waiting for customers who purchased FSD and are still driving legacy Model S and Model X vehicles today.
Tesla functions like a tech company, so it is no surprise that it has moved very fast over the years. This means that constant improvements to its vehicles’ hardware are being implemented as soon as they are ready. This also means, however, that the latest updates to systems like FSD (Supervised) or Autopilot are mostly focused on vehicles that represent the majority of the company’s fleet.
This was highlighted by Elon Musk in a recent post on X, when he noted that while Tesla’s Hardware 4 will ultimately be better, all training that the company is doing right now is for Hardware 3 vehicles. Hardware 4 is just running on emulation mode.
Within Tesla’s pursuit of autonomous driving lies a group of Model S and Model X owners who bought into FSD even before the Model 3 was ramped. These owners were promised that their vehicles would have the necessary hardware to be self-driving one day, but they have not received much of Tesla’s Autopilot and FSD improvements to date. Granted, Tesla has launched a hardware upgrade program for legacy vehicles, but they are paid options that some owners have refused.
It was then no surprise that amidst the excitement for FSD (Supervised), some legacy Model S and Model X owners have expressed their frustration at being left out again. Among these is Anthony Spina, who noted in a post on X, that “all of us legacy S/X owners still haven’t received V12 yet, with no official communication stating whether or not we even will. MCU1 FSD S/X owners have been living in the dark on this for years, and now MCU2 owners are beginning to be lumped into this group as well, at least it would seem on the surface.”
Thanks @Speenuh and others who have posted on @X about this. While we normally prioritize our paid FSD customers to the extent possible, there is a group of S/X customers (~3% of total FSD eligible vehicles) who have a different hardware which the @Tesla_AI team is working to… https://t.co/W3l3SYlVZu— Rohan Patel (@rohanspatel) March 31, 2024
In a response on X, Tesla Vice President of Public Policy and Business Development Rohan Patel explained that the electric vehicle maker is putting a lot of efforts into releasing systems like FSD (Supervised) to older vehicles. The executive noted that Tesla cannot give a timeline as to when FSD would be released to older vehicles, but the company’s AI team is working on it.
“Thanks @Speenuh and others who have posted on @X about this. While we normally prioritize our paid FSD customers to the extent possible, there is a group of S/X customers (~3% of total FSD eligible vehicles) who have a different hardware which the @Tesla_AI team is working to validate. We have a rigorous safety validation cycle for every software update, and we are working as hard as possible to ship the latest builds to all customers. We don’t want to give false precision on timing until the validation can be completed, but want you to know we are focused on trying to solve this. Many of you have been with us on the FSD journey from the start and it’s super appreciated,” Patel wrote.
We ? get it and understand and sincerely appreciate the patience. Our software engineers and validation teams really are doing all they can to try and solve even on Easter Sunday.— Rohan Patel (@rohanspatel) March 31, 2024
In a follow-up post, the Tesla executive also noted that the company understands the frustration of its legacy customers. “We 100% get it and understand and sincerely appreciate the patience. Our software engineers and validation teams really are doing all they can to try and solve even on Easter Sunday,” the executive noted.
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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.”
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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
