After overseeing the investigation into Tesla’s Autopilot system over the past couple of years, the acting chief of the National Highway Traffic Safety Administration (NHTSA), Ann Carlson, has announced plans to step down.
Carlson has been the regulator’s chief administrator since September 2022, and she emailed employees this week that she would be stepping down in cooperation with a law that limits how long officials can remain in the position, according to a report from Automotive News. NHTSA Deputy Administrator Sophie Shulman will succeed Carlson, who will return to her former position as chief counsel until the end of January before departing the U.S. auto regulator altogether.
Prior to becoming chief counsel for the NHTSA in January 2021, Carlson took a leave of absence from her previous position as one of UCLA’s environmental law professors. Throughout her time at the regulator, Carlson has also been a part of pushing stricter fuel emissions standards for gas vehicles, some of which are set to take effect next year.
Carlson recently noted that the new U.S. fuel economy standards enacted in 2024 “will save consumers money at the pump, increase our energy independence, and reduce harmful pollutants, including the greenhouse gases that cause climate change.”
The announcement of Carlson’s departure comes just after the NHTSA issued a “recall” this week requiring additional Autopilot safeguards, representing the culmination of the agency’s two-year investigation into the advanced driver assistance system (ADAS) that began in August 2021. Following the recall notice, Tesla immediately fixed the issue with the deployment of an over-the-air (OTA) update.
“One of the things we determined is that drivers are not always paying attention when that system is on,” Carlson said following the announcement of the recall.
In response to the recall, Tesla detailed its addition of stricter driver monitoring for Autopilot, writing, “The remedy will incorporate additional controls and alerts to those already existing on affected vehicles to further encourage the driver to adhere to their continuous driving responsibility whenever Autosteer is engaged, which includes keeping their hands on the steering wheel and paying attention to the roadway.”
“Depending on vehicle hardware, the additional controls will include, among others, increasing the prominence of visual alerts on the user interface, simplifying engagement and disengagement of Autosteer, additional checks upon engaging Autosteer and while using the feature outside controlled access highways and when approaching traffic controls, and eventual suspension from Autosteer use if the driver repeatedly fails to demonstrate continuous and sustained driving responsibility while the feature is engaged.”
During her time at the agency, Carlson also focused on airbag safety and an overall goal to decrease traffic deaths, along with the addition of around 50 other safety regulations. In the first nine months of 2023, U.S. traffic deaths dropped roughly 4.5 percent to 30,435 after the agency saw a drastic increase in fatalities during the COVID-19 pandemic, according to a statement on Wednesday.
“While we are optimistic that we’re finally seeing a reversal of the record-high fatalities seen during the pandemic, this is not a cause for celebration,” Carlson said.
The NHTSA hasn’t had a Senate-confirmed administrator for most of the last six years. While the Biden administration nominated Carlson to continue serving in the administrator role earlier this year, the White House later withdrew the recommendation following Republican opposition to the decision. Biden has yet to announce a new choice for the position.
Tesla release notes detail remedies to address NHTSA Autopilot “recall”
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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
