Tesla performed its in-house crash testing of the Cybertruck, and because it was in compliance with Federal Motor Vehicle Safety Standards, the car can be delivered to customers. However, it does not have official safety ratings from the National Highway Transportation Safety Administration (NHTSA), and the Insurance Institute of Highway Safety (IIHS) has no plans to test the vehicle.
There’s an explanation for all of it, however.
The Cybertruck’s Situation with the NHTSA
The NHTSA does not “approve” new vehicles, but it establishes performance requirements that comply with FMVSS. Manufacturers certify compliance with these standards when they crash test internally. Some vehicles are crash-tested directly by the NHTSA, but the Cybertruck is not one of these vehicles. At least not yet.
According to a 2020 report from Consumer Reports, “97 percent of all new vehicles sold are crash-test rated by one or both of the independent organizations.”
However, as the Cybertruck’s preliminary safety ratings have been added to the NHTSA database, they do not include any specific ratings in terms of crash ratings. The only ratings are safety features, such as Front Collision Warning, Lane Departure Warning, Crash Imminent Braking, and Dynamic Brake Support, which all meet performance criteria.
The Cybertruck is not mentioned on the 2024 list of vehicles to be included in the agency’s five-star safety ratings tests.
This means the Cybertruck will not have official ratings from the NHTSA until the truck is tested by them directly, per the agency, which clarified its plans to Teslarati on Monday.
The Cybertruck’s Situation with the IIHS
The IIHS also has no plans to test the Cybertruck, the organization told us.
“Automakers do perform their own crash tests to ensure compliance with federal regulations and for internal purposes,” Joe Young of the IIHS said. “Regardless of whether the [Cybertruck] is ever tested by IIHS or for NHTSA’s NCAP program, it will still need to meet federal motor vehicle safety standards, which require certain crash test standards.”
The Cybertruck has done this, and the recommendation from the NHTSA and IIHS is more or less another nod of confidence for any vehicle that is tested. Tesla has received five-star ratings for its vehicles from the NHTSA in the past.
Young also said the Cybertruck could be tested by the IIHS in the future. However, that decision will be made after it can assess “the level of general consumer interest in the vehicle.” If it is popular enough, the IIHS may test it.
Tesla ‘highly confident’ Cybertruck is safer than other trucks: Elon Musk
Additionally, Tesla could reach out to the IIHS and nominate the Cybertruck for testing:
“The testing nomination process allows automakers to essentially reimburse us for the cost of the vehicle(s) to get it tested more quickly than we might otherwise do so. Either scenario would require vehicle availability, however,” Young said.
The IIHS also has a verification test program, which allows automakers to submit in-house data and results of crash testing. Due to limited funding and time, the IIHS cannot independently test every consumer vehicle on the market, so it can use OEM data to do so. The program is regularly audited to ensure accuracy.
However, the Cybertruck is not currently able to be a part of the verification test program. Young explained, “As a new model, the Cybertruck wouldn’t be eligible for this program in our driver-side small overlap test, and we don’t accept verification data for our updated moderate overlap frontal crash test program. It’s possible it could be eligible for a verification rating in one or more of our other tests, but that would be at the discretion of our crashworthiness team.”
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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
