Tesla’s vehicles come with several unique features, including the option for the controversial Full Self-Driving (FSD) beta and the accompanying Smart Summon. Earlier this week, one Tesla owner managed an impressive use of Smart Summon after nearly locking his vehicle in a garage overnight.
X user @JackyHeshi had accidentally parked his Tesla Model 3 in a garage that closed at 10:00 p.m. on Friday night, leaving him unable to access it when arriving later in the evening. Fortunately, Heshi was able to use Smart Summon from outside the locked garage to get his Model 3 to come to him, triggering the sensor to open the garage door from the inside.
Heshi posted the account on X early Saturday morning, along with footage from the Model 3’s external cameras. You can see the thread below.
#fsdbeta pic.twitter.com/pSRRRifAjn
— Jacky Heshi (@JackyHeshi) September 16, 2023
The videos show one of the more interesting uses of the Summon and Smart Summon features that have been captured yet. Many users have noted the Smart Summon feature’s clunkiness when used in parking lots, so continual improvements to the system have been necessary.
As Tesla writes in its owner’s manuals, Summon allows vehicles to move up to 39 feet into or out of parking spaces. Drivers can use the Tesla app while standing outside the vehicle to move it forward or in reverse as it parks or unparks itself.
Alternatively, Smart Summon lets the vehicle move longer distances of up to approximately 213 feet while avoiding obstacles and without owners manually propelling the car forward and in reverse.
Tesla also includes warnings in its owner’s manuals noting that Smart Summon is a beta feature and should only be used under supervision and in parking lots, driveways or private property “where the surrounding area is familiar and predictable.”
As Tesla also points out in its owner’s manuals, Smart Summon “may be temporarily limited or inactive until it is enabled with a future software update for vehicles manufactured as of approximately October 2022.”
This is due to the automaker removing radar-based Ultrasonic Sensors in its builds over the past couple of years, instead opting for its camera-based Autopilot system dubbed “Tesla Vision.” The automaker says the features will be unavailable “for a short period of time during this transition” in a note penned about the transition.
Tesla’s Elon Musk posts quick update on Smart Auto Wiper, “Actually Smart Summon” rollout
Earlier this month, Tesla made its autosteer on city streets feature available in the FSD beta after it had been listed as “coming soon” for several months on the company’s order configurators. The automaker also dropped the price of the FSD add-on from $15,000 to $12,000.
The automaker is currently allowing one-time transfers of the FSD beta from one Tesla vehicle to another without owners being forced to pay for the upgrade again. Transfer of the FSD beta would include access to Smart Summon and other FSD features such as autosteer on city streets. Customers can transfer the FSD beta system between vehicles for the remainder of the third quarter — or until the end of this month.
Update: Eighth and ninth paragraphs added to note that Summon and Smart Summon are temporarily unavailable for Tesla vehicles without Ultrasonic Sensors.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to 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.”
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
