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Model S Scores 5-Star Rating in Euro NCAP Crash Test

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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.

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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.

[/learn_more]

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ALSO SEE: [Video] Tesla Model S Drifting at Gumball 3000 Festival

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Elon Musk

Tesla AI boss reveals how big Optimus is going to get

Tesla’s Optimus chief corrected himself on X, confirming a staggering 10 million robot production target.

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Tesla Optimus Gen 3 [Credit: Tesla]

Tesla’s Optimus program has a new number attached to it, after Ashok Elluswamy, the executive who has run the humanoid robot program since June 2025, posted a three word correction on X Thursday, “Correction, 10 million robots.”

The line clarifies the long term annual capacity Tesla is building toward its planned second Optimus production line at Gigafactory Texas, a figure Musk has cited repeatedly since last year’s shareholder meeting.

The scale is worth noting, because ten million robots a year would mean Tesla building more units annually than most countries sell in new cars. Tesla has framed this as a second line, not the first. The buildout is happening in two phases: a roughly one million unit per year line inside Tesla’s Fremont factory, installed on the floor space vacated when Model S and Model X production ended earlier this year, and a much larger dedicated facility under construction at Giga Texas that broke ground on its first steel structure in May. That Texas facility is the one Elluswamy’s correction refers to, and is expected to reach volume production sometime in 2027.

Tesla Optimus project fires up as Musk sees production line progress

Elluswamy took over Optimus from Milan Kovac last summer and has spent the months since talking up the program’s trajectory. Elon Musk has also floated the ten million figure at Tesla’s 2025 shareholder meeting.

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Ending Model S and Model X production to make room for the first Optimus line was one of the more consequential manufacturing decisions in the company’s recent history, retiring two flagship vehicles in favor of a robot that has yet to enter mass production. Musk has previously estimated per unit production costs at $20,000 to $25,000 once Tesla reaches a million units a year, though he hasn’t said what that cost looks like at ten times the volume.

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Autonomous vehicle red tape gets slashed by Trump Administration

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Credit: Zoox

The Trump Administration today made several key moves to help with the deployment of autonomous vehicles by cutting overreaching red tape that has stifled growth and innovation for years.

The moves, which were put forth by the National Highway Traffic Safety Administration (NHTSA), aim to grant temporary exemptions to at least one company currently, although that could expand in the coming months. Additionally, it will work with organizations to develop standards and a sound but efficient regulatory landscape.

Zoox is the only company mentioned explicitly by the Trump Administration in its press release announcing the new terms today. They will receive a temporary two-year exemption that will allow the commercial deployment of up to 2,500 vehicles annually for two years.

There is a potential exemption for Robomart, Inc., which “requests a temporary exemption from certain FMVSS No. 500 requirements for a low-speed vehicle operated by an ADS without a human driver onboard. NHTSA will publish a separate notice seeking public comment on its merits once the initial evaluation is complete,” the agency said.

Here are the five new terms that Secretary Sean Duffy has implemented through the NHTSA today:

  1. Allow Zoox to commercially deploy its robotaxis through a temporary exemption.
    This temporary exemption will allow the commercial deployment of up to 2,500 vehicles annually for two years, subject to an enhanced, adaptable oversight structure that can evolve as Zoox’s technology advances.
  2. Accelerate development of first-ever AV performance standards through a partnership with SAE Industry Technologies Consortia (ITC).
    This partnership will fund a three-year, $5 million “A2SCEND” consortium, bringing together experts to gather data and accelerate creation of the first-ever AV performance standards. This project will inform a single national standard for AV safety to eliminate the patchwork regulatory landscape that has stifled innovation for years.
  3. Publish an interim final rule that allows vehicles manufactured prior to an exemption to be eligible for a commercial deployment exemption.
    This rule will modernize the application process and improve access to exemptions for innovators, including AV developers, by granting the NHTSA Administrator the discretion to apply temporary exemptions to vehicles manufactured prior to the effective date of an exemption grant.
  4. Streamline the application process for Part 555 exemptions by updating guidance and soliciting feedback from the public.
    By updating the Part 555 exemption process—which allows automakers to temporarily sell a limited number of non-compliant vehicles, primarily to test new technologies—NHTSA is aiming to create a more flexible oversight structure for exemptions and summarize recent AV framework activities, including expanded exemption pathways, streamlined crash reporting, and ongoing efforts to modernize Federal Motor Vehicle Safety Standards (FMVSS).
  5. Establish a new Federal Docket for public feedback on NHTSA’s updated safe AV development and deployment guidance.
    NHTSA is updating its technical guidance for AVs for the first time since 2017—focusing on key safety areas like emergency responder interactions, safety management systems, remote assistance, and post-crash behavior to help the industry scale up driverless deployments safely.

Additionally, the NHTSA said it has modernized some safety standards by proposing updates to:

  • FMVSS 102 – Transmission shifting
  • FMVSS 103/104 – Windshield defrosting and wiping
  • FMVSS 110 – Tire placards
  • FMVSS 135 – Braking systems
  • FMVSS 101 – Controls and displays
  • FMVSS 108 – Vehicle lighting
  • FMVSS 111 – Mirrors and rearview display
  • FMVSS 126 – Electronic stability control systems
  • FMVSS 201/208 – Sun visors and warning labels

These changes aim to make the regulatory process for autonomous vehicles more streamlined and efficient, which could help the U.S. gain dominance over autonomous vehicle systems moving forward.

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Elon Musk

Elon Musk has a crazy prediction about AI in two years

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Daniel Oberhaus, CC BY-SA 4.0 , via Wikimedia Commons

Elon Musk is, in many respects, one of the biggest and most influential figures in modern-day artificial intelligence.

Given that Tesla, SpaceX, and xAI are all looked at in their respective fields as leaders to an extent, each of them has a heavy influence on the future of AI, even though two of them are not thought of, at face value, as AI companies.

Musk has grand expectations for what is to come with AI, not only as a form of assistance to make human lives easier, but to make humans multiplanetary and solve some of the biggest issues that face us today. But even he is astounded by AI’s pace of progress.

He believes that in two years, AI will be so mind-blowing it might be unrecognizable.

This progress can be seen in a variety of ways, but perhaps the most popular way people have shown AI’s progress, especially on social media, is through an incredibly arbitrary way of watching Will Smith eat spaghetti:

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This is a great way to show people how AI is improving, especially from a perspective that examines how it can manufacture images and video from prompts. AI is an incredibly complex concept, however, and it goes much deeper than Will Smith eating Italian food.

Musk’s most widely adopted method of AI is likely Tesla Full Self-Driving, which impacts millions of people as they utilize it to increase safety with their travel. Musk has routinely pushed incredibly aggressive timelines for self-driving, especially unsupervised.

Perhaps this perspective is why he feels that things will be solved in a timeframe that is much more aggressive than most of us would think. Regardless, the progress of AI is moving fast, and it seems that Musk’s expectations for it could be high.

But if it can actually achieve full-length motion pictures and even more realistic production value, it will be hard to distinguish between reality and AI very soon.

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