News
Model S Scores 5-Star Rating in Euro NCAP Crash Test
Euro NCAP, the leading organization that provides independent safety and crash testing to motoring consumers across Europe awarded the Tesla Model S with a perfect 5-star rating.
The organization ranked the Model S based on safety for the following categories: adult occupant, child occupant, pedestrian, and safety assist features. Euro NCAP scored the Model S with exceptionally high scores for its side impact protection however frontal impact dummy kinematics indicated that head protection did not fare. Testing indicated that there was insufficient inflation in the airbag to prevent the head from flattening out the airbag and coming in contact with the fascia.
According to Euro NCAP, “Tesla investigated the issue and found an error in the airbag calibration software supplied by the vendor. Euro NCAP has been informed that this error has been corrected in all vehicles supplied to customers.”
See the full results of the Tesla Model S safety and crash testing below.
[learn_more caption=”Safety Test Results” state=”open”]
Tesla Model S Euro NCAP Safety Test Results:
Adult Occupant
The passenger compartment remained stable in the frontal impact. Readings from the passenger dummy indicated good protection of all body areas except the head. Analysis of the dummy kinematics showed that the airbag on the passenger side had ‘bottomed out’ i.e. there was insufficient inflation to prevent the head flattening the airbag and coming into contact with the facia, through the airbag material. Although the calculated injury parameters were not hazardous, protection of the passenger head was penalised and rated as adequate. Dummy readings indicated good protection of the knees and femurs of the driver and passenger. Tesla showed that a similar level of protection would be provided to occupants of different sizes and to those sat in different seating positions. In the side barrier test, the Model S scored maximum points with good protection of all body regions. In the more severe side pole test, dummy measurements of rib compressions indicated marginal protection of the chest. Protection against whiplash injury in the event of a rear-end collision was rated as good for the front and rear seats.
Child Occupant
The Model S scored maximum points for its protection of the child dummies in the dynamic tests. Both dummies were seated in rearward-facing restraints and showed good protection in the frontal impact. In the side impact, both dummies were properly contained within the protective shells of their restraints, minimising the risk of head contact with parts of the vehicle interior. The front passenger airbag can be disabled through the user menu, allowing a rearward-facing restraint to be used in that seating position. However, the interface is not clear in all languages about the actions being taken to set the airbag status and the system was not rewarded. All of the restraints for which the car is designed could be properly installed and accommodated with the exception of the Group I universal restraint in the rear outboard seats. While the seat could be installed, the seat cushioning made engagement of the ISOFIX probes difficult. Integral child restraints are available as an optional third row in the Model S.
Pedestrian
The Tesla is equipped with an ‘active’ bonnet. When the system detects that a pedestrian has been struck, actuators lift the bonnet to provide greater clearance to hard structures underneath. Tesla showed that the system detects all statures robustly over a range of speeds and the car was tested with the bonnet in the deployed position. Protection was adequate or marginal over most of the surface of the bonnet with poor results recorded only at the base of the windscreen and on the stiff screen pillars. The bumper offered predominantly good protection to pedestrians’ legs while the front edge of the bonnet gave good results towards the centre of the car but poor results at the outside edges.
Safety Assist
Electronic stability control is standard equipment on the Model S. A seatbelt reminder is standard for the front and rear seats, as is a lane departure warning system that met Euro NCAP’s requirements. The Model S has a speed assistance system that can recognise the local speed limit and issue a warning to the driver when that limit is exceeded. The Model S is not equipped with an autonomous emergency braking system.
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ALSO SEE: [Video] Tesla Model S Drifting at Gumball 3000 Festival
News
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.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“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.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
