News
Tesla is looking to eliminate contracts for faster vehicle delivery process
In what appears to be yet another initiative to deliver as many of its electric cars as possible to customers, Elon Musk has announced that Tesla is trying to get rid of paper contracts completely. According to Musk, Tesla’s delivery process should be as simple as a tap on a screen. Under the system, returns for Tesla’s vehicles should be a lot simpler as well.
Musk’s Twitter update came as a response to Tesla enthusiast JD Mankovsky, who noted that his sister-in-law has been in a delivery center for hours waiting for her all-electric SUV’s contracts to be finished. Mankovsky stated that there was a backlog in the delivery center’s contract/legal approval level, causing handovers to be delayed. In classic fashion, Musk promptly responded with an idea in tow.
We’re trying to get rid of contracts completely. Should just be “tap here & you get your car”. Then, if you don’t like it for any reason, just return it like any other product.
— Elon Musk (@elonmusk) July 23, 2018
If Tesla does employ what could pretty much be described as a tap and drive system, it would be yet another way for the company to separate itself from the conventions of the traditional auto industry. Issuing and signing contracts, after all, are a well-known, time-consuming aspect of the vehicle delivery process, and it is one practice that Tesla still engages in today. By getting rid of paper contracts, Tesla will separate itself even more from traditional auto sales practices. Such a practice will also make the buying experience of Tesla’s vehicles more similar to consumer tech products than conventional cars.
In a way, using a digital signing system for its vehicles is a strategic move for Tesla. The use of digital contracts, after all, has only been growing over the years. In the United States alone, digital signatures are an option for filing tax returns over the internet, and that is valid in every state today. Tesla would likely need to adapt to additional regulations if or when it starts using digital contracts, but the transition could be done.
Elon Musk’s statement about returning vehicles if customers are not satisfied further emphasizes the idea that Tesla’s vehicles are more like computers on wheels than regular vehicles. Elon Musk has, over the years, underscored the idea that Tesla is a different breed of carmaker, not only in terms of its products but also in terms of its business practices. Returning cars to the company in a manner similar to returning an iPhone to Apple definitely falls under that category. Returned vehicles could even give the company a considerable revenue. Apple, for one, usually uses returned units to be sold later on as refurbished devices. Tesla could employ a similar strategy, opening a lineup between its brand new and CPO offerings.
Looking at Elon Musk’s tweet in the short-term, the removal of traditional paper contracts seems to be yet another way for Tesla to increase its delivery figures. The company, after all, is currently pushing for profitability this third quarter. For Tesla to do this, it would have to deliver as many cars as it can to customers, particularly higher-margin vehicles like the Model 3 Performance, the Model S P100D, and the Model S P100D. Such a system ties in perfectly with the company’s new 5-Minute Sign & Drive system for Model 3 deliveries as well.
In a way, Tesla’s efforts to expedite the deliveries of its vehicles are in the best interests of the company’s customers. Earlier this month, Tesla announced that it had sold its 200,000th electric car in the United States, triggering the phase-out period for the $7,500 tax credit granted to its customers. The tax credit is set to decrease over the next quarters and fully expire by December 2019. Thus, from this point until the end of next year, it would be up to Tesla to deliver as many vehicles as possible to ensure that its customers qualify for a federal tax credit.
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
