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Tesla Model 3, Model X take top honors in Euro NCAP Best in Class Cars 2019 List
The European New Car Assessment Programme or more popularly known as Euro NCAP published its “Best of the Best of 2019” list and the Tesla Model X and Model 3 are among the Best In Class for 2019.
The Tesla Model 3 was named the best vehicle in the Large Family Car category and shared the spotlight with the BMW 3 Series, despite edging out the Bavarian sedan in Safety Assist by receiving a score of 94 versus BMW’s 76. Euro NCAP also awarded the Tesla Model X all-electric SUV as the best Large Off-Road vehicle, beating out the SEAT Tarraco which took home second place.
The awards come with prestige as Euro NCAP is one of the most respected car safety watchdogs, providing consumers with an independent and realistic safety assessment of some of Europe’s most popular vehicles. Established in 1997 and modeled after the car assessment program of the U.S. National Highway Traffic Safety Administration, the program has since served as a catalyst when it comes to improving vehicle safety. The Euro NCAP overall safety rating was introduced in 2009 and evaluates the safety of the vehicle based on four areas: Adult Occupant Protection, Child Occupant Protection, Pedestrian Protection, and Safety Assist.
The Euro NCAP safety tests simulate possible real-life accidents that may cause serious injuries or even death of vehicle occupants. For example, the frontal impact test simulates accidents such as head-on collisions where the vehicle’s structure, how its parts safely absorb different crash forces, and whether the vehicle’s design leaves enough space in the passenger compartment during big collisions are looked into because these factors can spell the difference between life and death. Euro NCAP also tests vehicles to see if their child restraint systems are properly designed and can keep the child safe during vehicular accidents.
The category on Vulnerable Road User tests how other users such as pedestrians and cyclists are at risk of injuries when they are hit by the vehicles undergoing testing. The safety watchdog also scores driver-assist technologies that help lower the risk of accidents on the road and also mitigate injuries.
As the Model 3 and Model X rule their respective categories in the Best In Class of 2019 list just helps prove that Tesla is on the right path in building safe vehicles from the ground up, plus developing technologies such as its Autopilot and Full Self-Driving features that push vehicle safety to the next level.
To be included in Euro NCAP Best in Class Cars Of 2019 list is a feather in any automotive manufacturer’s cap. It means the vehicles are among the safest on the road today.
In mid-2019, the car safety watchdog awarded the Tesla Model 3 sedan 5 stars in all of its safety categories, which set the bar higher for vehicles in its class.
“Tesla has done a great job of playing the structural benefits of an electric vehicle to its advantage. The Tesla Model 3 achieved one of the highest Safety Assist scores we have seen to date,” said Thatcham Research head of research Matthew Avery.
The Model 3 has shown off its safety features in the real world, most recently protecting a driver after an SUV landed on top of a Model 3 during a multi-car pile-up in China.
The Model 3’s bigger sibling, the Model X, is also considered a champ by Euro NCAP as it awarded Tesla’s flagship SUV a 5-Star Safety Rating in December.
Other Best In Class for 2019 winners include Mercedes-Benz CLA for the Small Family Car category with Mazda 3 as its runner-up. The Subaru Forester ruled the Small Off-Road/MPV category with the Volkswagen T-Cross and the Mazda CX-30 sharing the second spot. The best in the Supermini category was given to the Audi A1 and Renault Clio with the Ford Puma given the runner-up honors.
Check out the video footage below showing Euro NCAP’s Best In Class Cars of 2019:
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
