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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.
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Tesla stands to win big from potential adjustment to autonomous vehicle limitations
Enabling scale, innovation, and profitability in a sector that is growing quickly would benefit Tesla significantly, especially as it has established itself as a leader.
Tesla stands to be a big winner from a potential easing of limitations on autonomous vehicle development, as the United States government could back off from the restrictions placed on companies developing self-driving car programs.
The U.S. House Energy and Commerce subcommittee will hold a hearing later this month that will aim to accelerate the deployment of autonomous vehicles. There are several key proposals that could impact the development of self-driving cars and potentially accelerate the deployment of this technology across the country.
These key proposals include raising the NHTSA’s exemption cap from 2,500 to 90,000 vehicles per year per automaker, preempting state-level regulations on autonomous vehicle systems, and mandating NHTSA guidelines for calibrating advanced driver assistance systems (ADAS).
Congress, to this point, has been divided on AV rules, with past bills like the 2017 House-passed measure stalling in the Senate. Recent pushes come from automakers urging the Trump administration to act faster amid competition from Chinese companies.
Companies like Tesla, who launched a Robotaxi service in Austin and the Bay Area last year, and Alphabet’s Waymo are highlighted as potential beneficiaries from lighter sanctions on AV development.
The NHTSA recently pledged to adopt a quicker exemption review for autonomous vehicle companies, and supporters of self-driving tech argue this will boost U.S. innovation, while critics are concerned about safety and job risks.
How Tesla Could Benefit from the Proposed Legislation
Tesla, under CEO Elon Musk’s leadership, has positioned itself as a pioneer in autonomous driving technology with its Full Self-Driving software and ambitious Robotaxi plans, including the Cybercab, which was unveiled in late 2024.
The draft legislation under consideration by the U.S. House subcommittee could provide Tesla with significant advantages, potentially transforming its operational and financial landscape.
NHTSA Exemption Cap Increase
First, the proposed increase in the NHTSA exemption cap from 2,500 to 90,000 vehicles annually would allow Tesla to scale up development dramatically.
Currently, regulatory hurdles limit how many fully autonomous vehicles can hit the roads without exhaustive approvals. For Tesla, this means accelerating the rollout of its robotaxi fleet, which Musk envisions as a network of millions of vehicles generating recurring revenue through ride-hailing. With Tesla’s vast existing fleet of over 6 million vehicles equipped with FSD hardware, a higher cap could enable rapid conversion and deployment, turning parked cars into profit centers overnight.
Preempting State Regulations
A united Federal framework would be created if it could preempt State regulations, eliminating the patchwork of rules that currently complicate interstate operations. Tesla has faced scrutiny and restrictions in states like California, especially as it has faced harsh criticism through imposed testing limits.
A federal override of State-level rules would reduce legal battles, compliance costs, and delays, allowing Tesla to expand services nationwide more seamlessly.
This is crucial for Tesla’s growth strategy, as it operates in multiple markets and aims for a coast-to-coast Robotaxi network, competing directly with Waymo’s city-specific expansions.
Bringing Safety Standards to the Present Day
Innovation in the passenger transportation sector has continued to outpace both State and Federal-level legislation, which has caused a lag in the development of many things, most notably, self-driving technology.
Updating these outdated safety standards, especially waiving requirements for steering wheels or mirrors, directly benefits Tesla’s innovative designs. Tesla wanted to ship Cybertruck without side mirrors, but Federal regulations required the company to equip the pickup with them.
Cybercab is also planned to be released without a steering wheel or pedals, and is tailored for full autonomy, but current rules would mandate human-ready features.
Streamlined NHTSA reviews would further expedite approvals, addressing Tesla’s complaints about bureaucratic slowdowns. In a letter written in June to the Trump Administration, automakers, including Tesla, urged faster action, and this legislation could deliver it.
In Summary
This legislation represents a potential regulatory tailwind for Tesla, but it still relies on the government to put forth action to make things easier from a regulatory perspective. Enabling scale, innovation, and profitability in a sector that is growing quickly would benefit Tesla significantly, especially as it has established itself as a leader.
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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Tesla stands to win big from potential adjustment to autonomous vehicle limitations
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
