News
Tesla Model 3 named as vehicle with ‘lowest probability of injury’ by the NHTSA
The National Highway Traffic Safety Administration (NHTSA) has dubbed the Long Range RWD Tesla Model 3 as the vehicle with the lowest probability of injury among all cars that the agency has tested so far. The Model 3’s low likelihood of injury rating was given after the vehicle went through the NHTSA’s New Car Assessment Program, which involves a series of crash tests determining the likelihood of serious passenger injury for front, side, and rollover crashes.
The Model 3’s stellar rating from the NHTSA could be seen as yet another testament to the quality of Tesla’s all-electric cars. Immediately following the Model 3’s scores, after all, are the Model S and Model X, which are currently the vehicles considered by the NHTSA with the second and third lowest probabilities of injury. In a blog post announcing the electric sedan’s safety ratings, Tesla noted that it expects the Dual Motor AWD Model 3 to perform just as well in the NHTSA’s tests as its Long Range RWD sibling.
Part of the reason why the Model 3 is so safe is due to the vehicle’s all-electric design. Tesla opted to place the Model 3’s battery pack, the heaviest component of the vehicle, right at the car’s center of gravity. This gives the Model 3 performance and handling that is almost similar to that of mid-engine vehicles, while allowing the electric sedan to have a near 50/50 weight distribution. Other subtle design tweaks, such as the rear motor being placed slightly in front of the axle, further improve the Model 3’s weight distribution, as well as its overall agility and handling.
Model 3 provides superior safety with its front crumple zone which is optimized to absorb energy and crush upon impact https://t.co/RJEn0LlVNi pic.twitter.com/foF7CXPCc0
— Tesla (@Tesla) October 8, 2018
In true Tesla tradition, the Model 3’s all-electric architecture comprises of a sturdy, rigid passenger compartment, a fortified battery pack, and a low center of gravity. Just like its larger siblings, the Model S and X, the absence of an internal combustion engine in front and a fuel tank at the rear give the Model 3 extra large crumple zones, which are optimized to absorb energy and crush more efficiently in the event of an accident.
In the event of a frontal crash, the crumple zone at the front of the vehicle controls the deceleration of occupants, while the Model 3’s advanced restraint systems keep occupants safe in place. Passenger airbags are even specially designed to protect an occupant’s head in the event of an angled or offset crash, while active vents enable the vehicle to adjust the internal pressure of the frontal airbags when deploying. These systems optimize protection based on the specifics of an accident.
The Model 3’s energy-absorbing lateral and diagonal beam structures help occupants safe during pole impact crashes. These structures include a high-strength aluminum bumper beam, a sway bar placed close and forward in front of the car, cross members are the front of the steel subframe that are connected to the main crash fails, as well as diagonal beams in the subframe that distribute energy back to the crash rails when they are not directly impacted. An ultra-high-strength martensitic steel beam is further fitted on the front of the suspension to absorb crash energy from severe impacts.
Tesla also designed the Model 3 with a patented pillar structure and side sills to absorb as much energy as possible in a short distance. Coupled with the vehicle’s rigid body construction and fortified battery architecture, these design elements enable the Model 3 to reduce and prevent compartment intrusion in the event of an accident, while allowing its side airbags to have more space to inflate and cushion occupants.
Just like the Model S and Model X, the Model 3’s low center of gravity plays a key role in keeping the vehicle safe from rollover crashes. That said, even if a rollover does occur, Tesla notes that internal tests have shown that the Model 3 is capable of withstanding roof-crush loads equivalent to more than four times the electric sedan’s weight, far more than the NHTSA’s standards that require cars to withstand three times their own weight.
.@NHTSAgov will post final safety probability stats soon. Model 3 has a shot at being safest car ever tested.
— Elon Musk (@elonmusk) September 20, 2018
The Model 3 was recently given a flawless 5-Star Safety Rating in all categories and subcategories by the NHTSA. In a follow-up tweet to the NHTSA’s Model 3 results, Elon Musk noted on Twitter that the electric sedan has a shot at being the “safest car ever tested” by the agency. With the Model 3 being dubbed as the vehicle with the lowest probability of injury by the NHTSA, it appears that Musk’s statement has proven to be accurate.
Model 3 has the lowest intrusion from side pole impact of any vehicle tested by @NHTSAgov https://t.co/RJEn0LlVNi pic.twitter.com/ZvGCC82rEX
— Tesla (@Tesla) October 8, 2018
It’s not just the NHTSA that has given the Model 3 its approval, either. Earlier this year, the Insurance Institute for Highway Safety (IIHS), a nonprofit funded by auto insurers aimed at reducing accidents on the road, gave the Model 3 a “Superior” front crash avoidance rating. During the course of its testing, the Model 3 performed well in the crash avoidance and mitigation category, thanks to the vehicle’s Forward Collision Warning, its low-speed autobrake, and its high-speed autobrake systems. The Model 3 was also given a “Recommended” rating by Consumer Reports, after an over-the-air software update reduced the vehicle’s braking distance.
Tesla’s electric cars are known for their performance and their safety. The Model X, for one, also received 5-Star Safety Ratings in all categories and subcategories during the NHTSA’s tests. The Model S, on the other hand, performed so well during the NHTSA’s safety evaluation that the agency’s crash-testing gear broke while it was testing the electric sedan.
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.
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
