News
Tesla starts disabling FSD Beta’s “rolling stop” feature with V10.10 update
Just as indicated in the National Highway Traffic Safety Administration’s (NHTSA) Safety Recall Report, Tesla has started rolling out an over-the-air software update that removes FSD Beta’s ability to perform “rolling stops.” The function was deemed by the NHTSA as a driving behavior that may increase the risk of collisions.
Images of FSD Beta 10.10’s release notes were recently shared online, hinting that the company is now actively addressing the issue outlined in the recent recall. It remains to be seen how long it would take Tesla to update its FSD Beta fleet to the new v10.10 software, especially since there are now nearly 60,000 drivers who are part of the early access program.
Following are the release notes of FSD Beta 10.10.
Early Access Program – FSD Beta 10.10
– Smoother fork maneuvers and turn-lane selection using high fidelity trajectory primitives.
– Disabled rolling-stop functionality in all FSD Profiles. This behavior used to allow the vehicle to roll through all-way-stop intersections, but only when several conditions were met, including: vehicle speed less than 5.6 mph, no relevant objects/pedestrians/bicyclists detected, sufficient visibility and all entering roads at the intersection have speed limits below 30 mph.
– Improved generalized static object network by 4% using improved ground truth trajectories.
– Improved smoothness when stopping for crossing objects at intersections by modeling soft and hard constraints to better represent urgency of the slowdown.
– Enabled lane changing into an oncoming lane to maneuver around static obstacles, when safe to do so.
– Improved smoothness for merge handling by enforcing more consistency with previous cycle’s speed control decisions.
– Improved handling of flashing red light traffic controls by adding more caution for events where crossing vehicles may not stop.
– Improved right of way understanding at intersections with better modeling of intersection extents.
A look at FSD Beta 10.10’s release notes suggests that Tesla’s “rolling stop” feature was not really as aggressive or dangerous as initially feared by critics. As noted by the company, FSD Beta’s “rolling stops” are only enabled when several conditions are met, and those conditions are fairly conservative. Tesla’s FSD Beta safety record would support this thesis, as the company noted in the NHTSA’s Safety Recall Report that it was not aware or any warranty claims, field reports, crashes, injuries, or fatalities that resulted from the advanced driver-assist system’s “rolling stop” function. “As of January 27, 2022, Tesla is not aware of any warranty claims, field reports, crashes, injuries or fatalities related to this condition,” the NHTSA’s report read.
While the removal of FSD Beta’s “rolling stop” feature was considered a recall of over 53,000 Teslas, the fact remains that the issue was completely addressed through a simple over-the-air update. Owners whose vehicles were part of the recall were also not required to do anything specific except to ensure that their vehicles were connected to the internet. This was something that was highlighted in the remedy for the issue indicated in the NHTSA’s Safety Recall Report.
“Tesla will disable the ‘rolling stop’ functionality on affected vehicles, starting with firmware release 2021.44.30.15. Firmware release 2021.44.30.15 is expected to begin deployment OTA to affected vehicles in early February 2022. The disablement will carry forward in firmware release 2021.44.30.15 and later releases. No further action is necessary from owners who install firmware release 2021.44.30.15 or a later release on their vehicles,” the NHTSA’s Safety Recall Report read.
Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.
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
