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Tesla Model 3 single-piece casting will come, but not anytime soon, Elon Musk says
Tesla will “likely” switch the Model 3 sedan to a single-piece casting design in the future, CEO Elon Musk said in an interview with Sandy Munro. However, the design will not be on its way anytime soon, as Musk said the Berlin and Texas Gigafactories need to have production efforts well underway to sustain demand fulfillment.
The Model 3’s current design is not a single piece casting and is comprised of 70 different metal parts welded together to create the vehicle’s underbody. Tesla improved upon this design in its Model Y crossover by using a massive, single-piece casting to eliminate 69 total parts. The single-piece design is effective for manufacturing purposes and increases structural rigidity in the event of an accident.
As the Model Y and Model 3 dominate Tesla’s current sales and delivery figures, Munro mentioned to Musk that he was disappointed that his new Model 3 teardown did not reveal a single piece casting similar to the Model Y design. However, Musk indicated Tesla’s mass-market sedan would eventually use the single-piece casting, it would just take its next two production facilities to be in operation for it to happen.
Musk told Munro:
“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.”
In its Q1 2020 Update Letter, Tesla showed the two designs. The Model Y casting (right) was two pieces at this point in time. Thanks to the introduction of Tesla’s Giga Press from IDRA, the automaker has eliminated the two-piece design in favor of a massive one-piece casting. The elimination of so many parts was a huge advantage for Munro, who detailed the casting advantages in several teardown episodes last year.
Tesla Model Y owner Tony Pham then showed the one-piece casting design on his vehicle while having a third-party accessory installed into his all-electric crossover. Pham’s Model Y was delivered in late 2020, proving that Tesla has been utilizing the one-piece design for several months.
Model Y single piece rear casting!
VIN 97k, delivered 12/23/2020. Thanks @TeslaFrunk for the rear kick sensor installation pic.twitter.com/jkIGwX265v— Tony Pham – “Quick Bandit” license plate mount (@TonyTesla4Life) January 10, 2021
Tesla’s single-piece design is widely thought by automotive engineers, including Munro, to be the most advantageous way to build a car. In Munro’s opinion, other automakers have ignored a single-piece design’s advantages due to their stubbornness to keep things the same. “Thousands of engineers, big-time executives, walk by [the idea]. They don’t do it,” Munro said.
One of Tesla’s manufacturing process’s main advantages is that it continues to refine its techniques and never admits that its current processes are the best way to handle things. Tesla is always looking to improve the situation of its manufacturing and production lines, always seeking different techniques and new ways to build its vehicles. The issue now is that Tesla’s vehicles are becoming so popular that its limited production lines cannot be halted to update some production techniques, especially to mass-market vehicles that have been produced for several years. Musk’s analogy of the bus going 80 MPH down the highway is extremely accurate, especially as Tesla is coming off of its largest production and delivery year in company history. Halting Model 3 production lines for an update to the vehicle’s casting design would be detrimental at the current time.
While it is likely that Model 3 single-piece castings could happen down the road, it is not something to expect soon. With Musk indicating that Giga Berlin and Giga Texas need to be in operation for this to occur, these facilities will likely need to have Model 3 production numbers high enough to offset the closure of lines at Giga Shanghai and Fremont. With Berlin focusing on Model Y production initially, it is likely that Model 3 lines will not be ramped for at least a year, so the single-piece Model 3 casting may not be seen until at least 2023.
Elon Musk’s full interview with Sandy Munro is available below.
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
