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Elon Musk’s three prerequisites for a new Tesla Model 3 have been met
Elon Musk listed three prerequisites Tesla would have to accomplish before overhauling the Model 3’s design. They have now been met, and with reports of “Project Highland” funneling through the automaker’s future plans, the stage is set for a refresh of the company’s mass-market sedan.
In early 2021, Musk met with industry veteran and “Teardown Titan” Sandy Munro to discuss anything and everything related to Tesla. The meeting was catalyzed by Tesla’s developments in manufacturing efficiency, which was met with compliments and criticism when Munro, a 40+ year veteran of automotive engineering, tore down the Model Y. Questions regarding the Model 3, an obvious sibling of the Model Y, came to the surface, with Munro wondering when the sedan would receive improvements in its build.
The Model 3 was an elementary example of Tesla’s engineering prowess. The vehicle featured a chassis and frame with many parts, a technique that was improved upon with the Model Y. Tesla switched to a more efficient casting design that increased structural rigidity and safety, while eliminating excess parts and decreasing overall production time.
The Model 3 was always set to get these updates, though Musk walked on eggshells committing to when it would actually happen. As a result, Musk laid down a few ground rules that would need to be met before the Model 3 was overhauled and improved.
Musk said:
At some point, we probably will switch to a single-piece casting, but I think we need to get the Texas factory and the Berlin factory going. We do have an issue. It is hard to change the wheels on the bus when it is going 80 MPH down the highway. So, Model 3 is…well, was most of our volume. Model Y will exceed Model 3, but we just need an opportunity to redo the factory without blowing the cash flow of the company.”
“Project Highland” will reportedly reduce the number of components in the Model 3 while also focusing on improving important technology features, like infotainment.
Tesla developing revamped Model 3 under “Project Highland:” report
Texas and Berlin Factories
Gigafactory Texas and Gigafactory Berlin were in not yet producing or delivering cars when Musk met with Munro. Tesla was still dependent on just Fremont and Gigafactory Shanghai for its global automotive fulfillment, it had not launched in several countries it recently started delivering cars to, and Texas and Berlin had production start dates far from concrete.
Fast forward to late early December 2022, when reports of “Project Highland” first became public. Texas and Berlin are producing Model Ys, and customer deliveries have been going on for months.
Tesla Model Y production at Gigafactory Berlin (Credit: Tesla)
While Berlin has been producing cars for a longer period than Texas, both are ramping adequately, according to Tesla’s delivery figures, which have continued to surge the company toward its first million-unit year.
While the production facilities are not fully ramped and have not yet reached full capacity, Musk didn’t say he needed Tesla’s two newest manufacturing plants to be churning out vehicles to their limit. He said they just needed to get them going, and they undoubtedly fit that description.
Model 3 cannot be a majority of Tesla’s volume
The Model 3 was still Tesla’s best-selling vehicle in January 2021, and this would not change in the United States until June 2021 and in China until October 2021.
While the Model Y was a low-volume vehicle at the time but featured new vehicle technology and manufacturing techniques. The Model 3 was becoming outdated with every Model Y sale, and Musk always said the Y would be Tesla’s best-selling car and perhaps the most popular car on the planet.
It didn’t take long for the Model Y to overtake the Model 3, and now that it has been solidified as Tesla’s global best-selling car, the Model 3 can undergo quite a transformation. Recent images show a Model 3 with various panel covers, hiding what could be anything from new sensor designs, like what was uncovered by Electrek earlier this week, or a new manufacturing design that just isn’t ready to be unveiled quite yet.
It is quite evident the Model 3 is going to face some substantial changes, whether they are cosmetic or not remains to be seen. However, it is no coincidence that Musk’s plan to overhaul the Model 3 has suddenly become a reality as the conditions for a Model 3 overhaul have been met.
Tesla still has not confirmed in any way that it would redesign the vehicle. However, Musk did not deny the Reuters report, as he has publicly done in the past. Earlier this week, we reported Tesla was already preparing Fremont for new Model 3 production lines, and after manufacturer plates were spotted on the partially-hidden Model 3, all indications point toward a newly-realized design heading into 2023.
What do you think Tesla will bring to the table for the Model 3 redesign? If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
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
