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Tesla owner credits Autopilot for avoiding disaster in odd collision with distracted driver
A Tesla Model 3 owner is thanking his vehicle’s Autopilot system for saving his vehicle from fishtailing out of control after contact with a distracted driver.
During a nighttime drive on California Highway 880, a Model 3 owner who wished to be referred to as Rorlover, was minding his own business and using Tesla’s Autopilot functionality to travel. Suddenly, a Nissan sedan quickly approached the all-electric vehicle from the rear, shifted lanes, and appeared to attempt a “pit maneuver.” The contact sent the Nissan spinning into the left-hand retaining wall, while the Model 3 maintained control and safely slowed down and came to a halt on the shoulder of the road.
“I do credit the Tesla Autopilot for keeping the car heading straight after being hit,” Rorlover said to Teslarati. “I was really quite impressed.”
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- Credit: u/Rorlover11 on Reddit
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- Credit: u/Rorlover11 on Reddit
Rorlover initially posted the incident on a Subreddit, and although the incident appeared to be on purpose, Rorlover says the driver was actually distracted and accidentally made contact with his Tesla.
“The police report confirms there was nothing but a young and distracted driver. No road rage or attempted murder—hopefully, they’ve learned their lesson.”
The impact caused significant damage to the rear passenger door on the driver’s side of the Model 3, but it was by far the more fortunate vehicle in the event. The Nissan collided head-on with a jersey wall, sending debris all over the highway and ultimately lead to a six-vehicle pile-up that shut down the side of the highway the two cars were traveling on.
Rorlover walked away from the incident unharmed. The driver of the Nissan was taken to the hospital after a brief interview with Police, but the nature of their injuries is unknown.
The Model 3’s weight, which is supported by a large battery pack that gives the vehicle a low center of gravity, may have assisted in the car’s ability to maintain control. However, Rorlover’s description of the accident implies that Autopilot deserves more of the credit than the car’s weight distribution. Rorlover shared an exclusive video of the accident with Teslarati and stated that the impressive nature of Autopilot’s handling could be recognized from the Dashcam perspective of the vehicle.
“I didn’t share it initially as it’s not that exciting, unless you know it’s Autopilot doing the steering,” he said.
Tesla has made significant strides in its development of self-driving characteristics this year. In addition to releasing a more broad Autopilot functionality earlier this year that included driving on City Streets and Automatic Traffic Light Navigation, Tesla also rolled out its Full Self-Driving Beta in October. The release has revealed Tesla’s complex self-driving software, and CEO Elon Musk expects a Level 5 Autonomy version to be released next year.
The Model 3 already holds a Top Safety Pick+ recommendation from the Insurance Institute of Highway Safety (IIHS) and also achieved the lowest probability of injury of any vehicle ever tested by the National Highway Transportation Safety Administration (NHTSA). With its focus on semi-autonomous driving features, the inclusion of basic Autopilot with any Tesla car hints toward an even more robust safety system. After Autopilot prevented the Model 3 from fishtailing and colliding with a jersey wall, perhaps the system could contribute to even higher safety ratings in future tests.
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
