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Tesla welcomes NHTSA’s critical eye on Autopilot, FSD: “We expect and embrace the scrutiny”
Tesla executives highlighted during the recently held Q3 2021 earnings call that the company welcomes scrutiny from agencies such as the National Highway Traffic Safety Administration (NHTSA). This was despite the incoming appointment of a new NHTSA senior safety adviser who previously dubbed Teslas as “killer robot(s)” on social media, and who sits at the board of Swedish LIDAR company Veoneer, a supplier of automakers like Ford and General Motors.
The NHTSA is currently probing Tesla over incidents where its cars ended up crashing into stationary emergency vehicles while Autopilot was engaged. The company has since rolled out some safety improvements for Autopilot, such as the ability to slow down and alert the driver when an emergency vehicle is detected. This, however, was met by a rather negative response from the NHTSA, which asked the EV maker why it did not issue a recall notice when it released Autopilot’s free over-the-air software update.
Considering the current atmosphere surrounding Tesla and the NHTSA, it was no surprise that investors inquired about the tense environment on the Q3 2021 earnings call. When asked how the company plans to deal with what appears to be increasing scrutiny from the safety agency, Tesla Vice President of Vehicle Engineering Lars Moravy was firm in the notion that the EV maker will be fully cooperative. He also noted that Tesla expects and welcomes scrutiny on its products like Autopilot and FSD.
“As we have been for years, we always engage with NHTSA and other worldwide regulatory bodies to share our knowledge and to work with them on our approaches on both active and passive safety. There are ongoing regulatory inquiries taking place all the time and especially on the subjects like FSD that are at the cutting edge of technology development.
“During these investigations, my team, myself are always cooperative as much as possible. We expect and embrace the scrutiny of these products and know that the truth about their performance and the innovations our products have will ultimately be all that matters. In the end and as I’ve said on previous calls, we take safety as a top priority in all our designs. This is because our primary motivation is from — coming from a team of incredible engineers designing software and hardware that saves lives and prevents injuries,” Moravy confirmed.
Tesla Chief Financial Officer Zachary Kirkhorn added that safety is paramount for the company. He noted that while the scrutiny will indeed be notable, Tesla is still excited to partner and work collaboratively with agencies like the NHTSA. This was because ultimately, making vehicles as safe as possible is the right thing to do.
“Safety is extremely important for Tesla. It’s the right thing to do. And, you know, if you look at various independent testing and regulatory testing of our products, you can see the work of incredibly talented engineers in the results of those tests. And, you know, our goal in developing safety-oriented software around the car is to continue to go beyond what the hardware is able to provide.
“If you can prevent a crash from happening, that’s the safest way to manage this. And I think at a macro level here, what we’re seeing — and this is entirely understandable and expected, is that the automotive industry is going through a transition from the traditional car as we know it to more of a computer, software-oriented, sensor suites around them that can manage things beyond just what the driver manages. And regulatory bodies are — understandably so, are interested in understanding how to regulate in this environment, and NHTSA is no exception to that.
“We’re excited to partner and we’ll work collaboratively with all regulatory bodies who want — to go on the journey to the transition to a software-oriented vehicle,” Kirkhorn concluded.
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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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
