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Tesla Model 3 gets penalized in Europe despite top scores in vehicle assistance and safety
In collaboration with Thatcham Research, the Euro NCAP has launched the world’s first Assisted Driving Grading system, a new set of metrics that are specifically designed to evaluate the driver-assist systems of cars available on the market today. For its first batch of vehicles, the firms evaluated 10 cars, from premium SUVs like the Mercedes-Benz GLE to affordable hatchbacks like the Renault Clio to all-electric vehicles like the Tesla Model 3.
As noted by Thatcham Research Director of Insurance Research Matthew Avery in a video outlining the results of the Assisted Driving Grading system’s first tests, vehicles would be graded on three metrics: the level of vehicle assistance that they provide, the level of driver engagement that they offer, and the effectiveness of their safety backup systems. The results of these tests, especially on the Tesla Model 3’s part, were rather peculiar, to say the least.
Out of 10 vehicles that were evaluated, the Tesla Model 3 ranked 6th with a “Moderate” grade, falling behind the Mercedes-Benz GLE, BMW 3-Series, and Audi Q8, which were graded as “Very Good,” and the Ford Kuga, which received a “Good” rating. This was despite the Tesla Model 3 receiving the top scores in the “Vehicle Assistance” and “Safety Backup” metrics.
The study, for example, dubbed the Model 3 as outstanding in terms of steering assistance, with the vehicle steering itself exceptionally well through an S-shaped curve at speeds of 80, 100, and 120 km/h. Tesla’s lane change systems were also satisfactory, despite the system’s limitations in Europe. Distance control was dominated by the Model 3 as well, with the evaluators stating that Tesla’s adaptive cruise control featured a “high level of technical maturity.” From a score of 100, Tesla’s vehicle assistance received a score of 87, the highest among the cars tested.
The Model 3’s safety backup systems were also a league above its competition. As noted in a post from the Allgemeiner Deutscher Automobil-Club e.V. (ADAC), Tesla demonstrated its strengths with the Model 3’s collision avoidance systems. The all-electric sedan earned a perfect score in the firms’ tests, outperforming its premium German competition. Overall, the Model 3 received an impressive score of 95 in the Assisted Driving Grading system’s “Safety Backup” metric.
Considering these scores, one might wonder why the Model 3 ended up ranked 6th among the 10 vehicles tested by the Euro NCAP and Thatcham Research. As it turned out, this was because of the Model 3’s poor scores in the “Driver Engagement” metric, where the vehicle only earned a score of 35 out of 100. So poor was the Model 3’s scores in this metric that it was ranked last among the 10 vehicles that were evaluated.
A look at the reasons behind the Model 3’s poor scores in “Driver Engagement” includes a number of interesting insights from Thatcham Research and the Euro NCAP. When testing the vehicles’ steering override functions, for example, the evaluators stated that the Model 3 resisted steering overrides from its driver. These issues were explained in the ADAC’s post.
“Should the driver make a steering movement in order to avoid an object or a pothole in the roadway, the steering assistant should allow this without resistance. In the Tesla Model 3, for example, this is not the case. Apparently, Tesla trusts the system more than its driver. The necessary cooperative assistance is not given. Instead, the Tesla system prevents its driver from attempting to intervene – it mustn’t be,” the ADAC remarked in its post.
Even more interesting is that part of the Model 3’s poor “Driver Engagement” scores was due to the term “Autopilot,” which Tesla uses to describe its driver-assist suite. The evaluators argued that the term “Autopilot” was misleading and irresponsible on Tesla’s part, and this was heavily taken against the Model 3’s rankings in the Assisted Driving Grading system.
“When it comes to the first test criterion – consumer information – the Tesla Model 3 in particular fails. The assistance systems are referred to as “Autopilot” in the operating instructions for the Model 3 as well as in the sales brochures and in marketing. However, the term suggests capabilities that the system does not have in sufficient measure. It tempts the driver to rely on the capabilities of the system – which is currently not allowed by the legislature anyway. Due to its good quick-start operating aid, the Tesla Model 3 still receives 10 points,” the evaluators noted.
Ultimately, these complaints about Autopilot’s branding ended up pulling down the Model 3’s scores to the point where the all-electric sedan was ranked below the Ford Kuga. Thatcham Research Director of Insurance Research Matthew Avery explained this in a video released about the evaluation. “The Tesla Model 3 was the best for safety backup and vehicle assistance but lost ground for misleading consumers about the capability of its Autopilot system and actively discouraging drivers from engaging when behind the wheel,” Avery said.
As noted by Avery, it is pertinent for vehicles to exhibit a balance to score very well in the Assisted Driving Grading system. This was not achieved by the Model 3 despite its industry-leading backup safety systems and actual vehicle assistance tech. ADAC explained it best when outlining why the Tesla Model 3 lost to four other vehicles despite being equipped with what is noticeably the most advanced driver-assist system.
“When analyzing the test results, it is noticeable that the Tesla Model 3 has the most advanced assistance systems. With 95 points for emergency assistance (Safety Backup) and 91 points for technical assistance, it doesn’t beat the Mercedes GLE by far, but at least 11 points… Because Euro NCAP removes the many points in the area of driver support from the Tesla, because on the one hand it does not sufficiently comply with the driver’s request for a steering correction. On the other hand, because Tesla is irresponsible about the term autopilot – an even more serious reason. With only 36 points from the test area driver integration, the Tesla falls back to sixth place in the final bill,” the ADAC noted.
Thatcham Research’s overall findings could be viewed in the video below.
Elon Musk
Elon Musk’s xAI wins permit for power plant supporting AI data centers
The development was reported by CNBC, citing confirmation from the Mississippi Department of Environmental Quality (MDEQ).
Mississippi regulators have approved a permit allowing Elon Musk’s artificial intelligence company xAI to construct a natural gas power plant in Southaven. The facility is expected to support the company’s expanding AI infrastructure tied to its Colossus data center operations near Memphis.
The development was reported by CNBC, citing confirmation from the Mississippi Department of Environmental Quality (MDEQ).
According to the report, regulators “voted to approve the permit” of xAI subsidiary MZX Tech LLC to construct a power plant featuring 41 natural gas-burning turbines “after careful consideration of all public comments and community concerns.”
The Mississippi Department of Environmental Quality stated that the permit followed a regulatory review process that included public comments and community input. Jaricus Whitlock, air division chief for the MDEQ, stated that the project met all applicable environmental standards.
“The proposed PSD permit in front of the board today not only meets all state and federal permitting regulations, but goes above and beyond what is required by law. MDEQ and the EPA agree that not a single person around our facilities will be exposed to unhealthy levels of air pollution,” Whitlock stated.
The planned facility will help provide electricity for xAI’s AI computing infrastructure in the Memphis region.
The Southaven project forms part of xAI’s efforts to scale computing capacity for its artificial intelligence systems.
The company currently operates two major data centers in Memphis, known as Colossus 1 and Colossus 2, which provide computing power for xAI’s Grok AI models. xAI is also planning to build another large data center in Southaven called Macrohardrr, which would be located in a warehouse previously used by GXO Logistics.
Large-scale AI training requires substantial computing power and electricity, prompting technology companies to develop dedicated energy infrastructure for their data centers.
SpaceX President Gwynne Shotwell previously stated that xAI plans to develop 1.2 gigawatts of power capacity for its Memphis-area AI supercomputer site as part of the federal government’s Ratepayer Protection Pledge. The commitment was announced during an event with United States President Donald Trump.
“As part of today’s commitment, we will take extensive additional steps to continue to reduce the costs of electricity for our neighbors. xAI will therefore commit to develop 1.2 GW of power as our supercomputer’s primary power source. That will be for every additional data center as well. We will expand what is already the largest global Megapack power installation in the world,” Shotwell said.
“The installation will provide enough backup power to power the city of Memphis, and more than sufficient energy to power the town of Southaven, Mississippi where the data center resides. We will build new substations and invest in electrical infrastructure to provide stability to the area’s grid.”
Elon Musk
Tesla China teases Optimus robot’s human-looking next-gen hands
The image was shared by Tesla AI’s account on Weibo and later reposted by Tesla community members on X.
A new teaser shared by Tesla’s China team appears to show a pair of unusually human-like hands for Optimus.
The image was shared by Tesla AI’s account on Weibo and later reposted by Tesla community members on X.
As could be seen in the teaser image, the new version of Optimus’ hands features proportions and finger structures that look strikingly similar to those of a human hand. Their appearance suggests that they might have dexterity approaching that of a human hand.
If the image reflects a new generation of Optimus’ hands, it could indicate Tesla is continuing to refine one of the most critical components of its humanoid robot.
Hands are widely viewed as one of the most difficult engineering challenges in robotics. For Optimus to perform complex real-world work, from manufacturing tasks to household activities, its hands would need to be the best in the industry.
Elon Musk has repeatedly described Optimus as Tesla’s most important long-term product. In posts on social media platform X, Musk has stated that Optimus could eventually become the first real-world Von Neumann machine.
In theory, a Von Neumann machine is a self-replicating system capable of building copies of itself using available materials. The concept was originally proposed by mathematician John von Neumann in the mid-20th century.
“Optimus will be the first Von Neumann machine, capable of building civilization by itself on any viable planet,” Musk wrote in a post on X.
If Optimus is expected to carry out complex work autonomously in the future, high levels of dexterity will likely be essential. This makes the development of advanced robotic hands a key step towards Musk’s long-term expectations for the product.
News
Tesla Cybercab ramps Robotaxi public street testing as vehicle enters mass production queue
Recent sightings on public roads and growing fleet activity at Giga Texas signal Tesla’s accelerating push toward the Cybercab’s commercial launch.
Tesla Cybercab is being spotted with increasing frequency both on public roads and across the grounds of Gigafactory Texas, suggesting that the company’s road testing and validation program is ramping meaningfully ahead of mass production.
A total of 25 Cybercab units were recently observed across three separate locations at Giga Texas by drone observer Joe Tegtmeyer — with 14 metallic gold units parked in a tight formation outside the factory exit, nine more at the crash testing facility undergoing structural and safety validations, and two additional units at the west end-of-line area for final checks.
The activity on public roads is just as telling. The Cybercab was spotted testing on public roads for the first time last October, near Tesla’s Engineering Headquarters in Los Altos, California, marking a significant development in the vehicle’s progression toward commercial readiness. As expected at that early stage, a safety driver was present in the seat.
Since then, sightings have only become more frequent. Community observers on X have posted fresh footage of Cybercabs navigating public streets in Silicon Valley, with each new clip adding to a growing body of evidence that Tesla’s validation efforts are well underway. The production backdrop supports the momentum. Tesla’s production line at Giga Texas moved into a higher volume early in March, representing what observers are calling the largest single-day grouping of Cybercabs seen to date.
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- Tesla Cybercab spotted in San Jose, CA testing on public roads with Robotaxi validation equipment [Credit: Nic Cruz Patane via X]
![Tesla Cybercab spotted testing on public roads in Los Gatos, CA - March 10, 2026 [Credit: Osmad Sarood via X]](https://www.teslarati.com/wp-content/uploads/2026/03/tesla-cybercab-public-road-testing-823x1024.jpg)
Tesla Cybercab spotted testing on public roads in Los Gatos, CA – March 10, 2026 [Credit: Osman Sarood via X]
Tesla ramps Cybercab test manufacturing ahead of mass production
Musk has also stated that Tesla is aiming for at least 2 million Cybercab units per year across more than one factory, with a potential ceiling of 4 million annually.
With testing activity on public roads accelerating and factory output visibly increasing week over week, the coming months at Giga Texas are set to be pivotal in determining how quickly Tesla can bring the Cybercab from validation to volume.
Elon Musk’s xAI wins permit for power plant supporting AI data centers
Tesla China teases Optimus robot’s human-looking next-gen hands
