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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.
Tesla (NASDAQ: TSLA) stock received a price target update from Pierre Ferragu of Wall Street firm New Street Research, citing the company’s growing lead in self-driving and autonomy.
On Tuesday, Ferragu bumped his price target from $520 to $600, stating that the consensus from the Consumer Electronics Show in Las Vegas was that Tesla’s lead in autonomy has been sustained, is growing, and sits at a multiple-year lead over its competitors.
CES 2026 validates Tesla’s FSD strategy, but there’s a big lag for rivals: analyst
“The signal from Vegas is loud and clear,” the analyst writes. “The industry isn’t catching up to Tesla; it is actively validating Tesla’s strategy…just with a 12-year lag.”
The note shows that the company’s prowess in vehicle autonomy is being solidified by lagging competitors that claim to have the best method. The only problem is that Tesla’s Vision-based approach, which it adopted back in 2022 with the Model 3 and Model Y initially, has been proven to be more effective than competitors’ approach, which utilizes other technology, such as LiDAR and sensors.
Currently, Tesla shares are sitting at around $433, as the company’s stock price closed at $432.96 on Tuesday afternoon.
Ferragu’s consensus on Tesla shares echoes that of other Wall Street analysts who are bullish on the company’s stock and position within the AI, autonomy, and robotics sector.
Dan Ives of Wedbush wrote in a note in mid-December that he anticipates Tesla having a massive 2026, and could reach a $3 trillion valuation this year, especially with the “AI chapter” taking hold of the narrative at the company.
Ives also said that the big step in the right direction for Tesla will be initiating production of the Cybercab, as well as expanding on the Robotaxi program through the next 12 months:
“…as full-scale volume production begins with the autonomous and robotics roadmap…The company has started to test the all-important Cybercab in Austin over the past few weeks, which is an incremental step towards launching in 2026 with important volume production of Cybercabs starting in April/May, which remains the golden goose in unlocking TSLA’s AI valuation.”
Tesla analyst breaks down delivery report: ‘A step in the right direction’
Tesla has transitioned from an automaker to a full-fledged AI company, and its Robotaxi and Cybercab programs, fueled by the Full Self-Driving suite, are leading the charge moving forward. In 2026, there are major goals the company has outlined. The first is removing Safety Drivers from vehicles in Austin, Texas, one of the areas where it operates a ride-hailing service within the U.S.
Ultimately, Tesla will aim to launch a Level 5 autonomy suite to the public in the coming years.
Elon Musk
Elon Musk’s Biggest Revelations on AI, Robots, and the Future of Work from the Moonshots Podcast
Elon Musk’s appearance on the Moonshots with Peter Diamandis podcast was packed with bold predictions, candid admissions, and surprising tech insights. The nearly three-hour conversation covered everything from artificial intelligence to humanoid robots, geopolitics, and the future of work. Here are the top 10 most intriguing takeaways:
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Aggressive AGI Timeline Predictions
Musk offered a detailed view on when artificial general intelligence (AGI) could emerge, suggesting it may arrive sooner than many expect, emphasizing both transformative potential and risks.
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U.S. vs. China in the AI Race
He discussed the strategic competition between the United States and China over AI development, noting that geopolitical dynamics will shape how and who leads in the next decades.
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Future of Job Markets
Musk touched on how AI and automation could reshape employment, predicting massive boosts in productivity alongside potential disruptions in traditional work structures.
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Clean Energy Transition
A recurring theme was the role of clean energy in future economies, with Musk reiterating the importance of scaling sustainable power generation and storage.
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Humanoid Robots Are Coming
On the podcast, Musk elaborated on Tesla’s work on humanoid robots, hinting at timelines and applications that go beyond factories to general-purpose assistance.
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Tesla Roadster “Last Human-Driven Car”
Outside the core discussion topics, Musk teased features of the upcoming Tesla Roadster — calling it “the best of the last of the human-driven cars” and suggesting safety won’t be its main selling point.
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The Role of AI in Clean Energy and Robotics
Linking AI to both energy optimization and robotics, Musk explained how smarter systems could accelerate decarbonization and task automation across industries.
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U.S. Innovation Leadership
Musk argued that maintaining American leadership in key tech sectors like AI, space, and robotics should be a national priority, with thoughtful policy and investment.
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Job Creation vs. Job Elimination
While acknowledging automation’s disruptive effects, he also outlined scenarios where new industries and opportunities could emerge, particularly in AI, space, and advanced manufacturing.
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Long-Term Vision for Humanity
Throughout the conversation, Musk revisited his long-term philosophical views — including a belief in humanity’s responsibility to become a multi-planetary and technologically empowered species.
Whether you agree with Musk’s optimism or not, the podcast offers a window into the thinking of one of the most influential figures in tech today, in and why his visions continue to spark debate and inspiration.
Elon Musk appeared on the Moonshots podcast with Peter Diamandis today to discuss AGI, U.S. vs. China, Tesla, and some other interesting topics, but there was some discussion about the upcoming unveiling of the Roadster, the company’s electric supercar that will arrive several years after it was initially slated for release.
Musk made some pretty amazing claims about the Roadster; we already know it is supposed to be lightning-fast and could even hover, if Tesla gets everything to happen the way it wants to. However, the car has some pretty crazy capabilities, some of which have not even been revealed.
On the podcast, Musk said:
“This is not a…safety is not the main goal. If you buy a Ferrari, safety is not the number one goal. I say, if safety is your number one goal, do not buy the Roadster…We’ll aspire not to kill anyone in this car. It’ll be the best of the last of the human-driven cars. The best of the last.”
🚨 Elon on the Roadster unveiling, scheduled for April 1:
— TESLARATI (@Teslarati) January 6, 2026
Musk makes a good point: people who buy expensive sports cars with ridiculous top speeds and acceleration rates do not buy them to be safe. They hope they are safe in case of an emergency or crash, but safety is not at the forefront of their thoughts, because nobody buys a car thinking they’ll crash it.
The Roadster is truly going to push the limits and capabilities of passenger vehicles; there’s no doubt about that. Tesla plans to show off the new version car for the first time on April 1, and Musk has only hinted at what is possible with it.
Musk said back in November:
“Whether it’s good or bad, it will be unforgettable. My friend Peter Thiel once reflected that the future was supposed to have flying cars, but we don’t have flying cars. I think if Peter wants a flying car, he should be able to buy one…I think it has a shot at being the most memorable product unveiling ever. [It will be unveiled] hopefully before the end of the year. You know, we need to make sure that it works. This is some crazy technology in this car. Let’s just put it this way: if you took all the James Bond cars and combined them, it’s crazier than that.”
Production is set to begin between 12 and 18 months after the unveiling, which would put the car out sometime in 2027. Hopefully, Tesla is able to stay on track with the scheduling of the Roadster; many people have been waiting a long time for it.
Tesla gets price target bump, citing growing lead in self-driving
Elon Musk’s Biggest Revelations on AI, Robots, and the Future of Work from the Moonshots Podcast
