News
Tesla’s Safety Score system will be key to in-house insurance’s affordability
Tesla’s Safety Score system may still be in its early stages, but it seems to be a key part of some of the company’s upcoming products. This is particularly true for the Safety Score system, which was recently launched ahead of FSD Beta’s expansion. As observed by Tesla owners who signed up for the company’s in-house insurance in Texas, their rates would be directly tied to their respective Safety Scores.
This is something that would be expected as Tesla expands its in-house insurance service to other states, and perhaps even abroad. As mentioned by CFO Zachary Kirkhorn during the recently-held Q3 2021 earnings call, insurance costs are generally not the fairest thing in the market, with low-risk owners typically overpaying on their rates to subsidize drivers who were riskier on the road. Kirkhorn explained that the car insurance market, in its current state, uses limited data. Fortunately, data just happens to be one of Tesla’s biggest strengths.
“We entered the insurance market kind of unintentionally, I would say. Our customers were coming to us, complaining that the price of traditional insurance was too high and it was reducing the affordability of a Tesla… As we started to do more research, essentially, the tools by which the insurance is traditionally calculated are optimized based upon the existing data, but the existing data is limited. So there’s a focus on things like marital status or age or other attributes like that. Accident history is a good one, etc.
“But what essentially happens here is customers who are low risk and don’t actually file many claims end up overpaying on their insurance relative to their cost. That overpayment then goes to riskier customers who are essentially being subsidized. And, you know, as we looked at this and we looked at the data, we thought this just doesn’t seem like it’s fair. At Tesla, because our cars are connected, because they are essentially computers on wheels, there’s enormous amounts of data that we have available to us to be able to assess the attributes of a driver who’s operating that car and whether those attributes correlate with safety because we do get a signal when a car has been in an accident,” the CFO remarked.
Tesla then proceeded to analyze literally billions of miles of driving history from its fleet, and from this study came a model that was able to predict with decent accuracy the probability of collisions over time. But this was just the beginning. Tesla has learned and is continuing to learn a lot more about its fleet, particularly as the company rolled out its Safety Score system and the FSD Beta Enrollment Program.
“We have almost 150,000 cars currently using a safety score. And I believe the latest data is over 100 million miles of driving. So we’ve been able to go back and analyze that data. And we’ve learned two things coming from that. The first is that the probability of collision for a customer using a safety score versus not is 30% lower. It’s a pretty big difference. It means that the product is working and customers are responding to it. The second thing that we’ve looked at is what is the probability of collision based upon actual data as a function of a driver safety score.
“And that is aligning with our models. Most notably, if you’re in the top tier of safety compared to lower tiers, there’s multiple X difference in probability of collision based upon actual data. So this is a very new and very exciting frontier for us. I know that was long-winded, but I — we spent a lot of time on this and we put a lot of thought into it… So we’re very excited about it. We’re excited about individual risk-based pricing. We’re excited about the ability for folks to become safer and, as a result, save money. And it feeds into our priority of a company — of building the safest products in the world,” Kirkhorn concluded.
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News
Ford is charging for a basic EV feature on the Mustang Mach-E
When ordering a new Ford Mustang Mach-E, you’ll now be hit with an additional fee for one basic EV feature: the frunk.
Ford is charging an additional fee for a basic EV feature on its Mustang Mach-E, its most popular electric vehicle offering.
Ford has shuttered its initial Model e program, but is venturing into a more controlled and refined effort, and it is abandoning the F-150 Lightning in favor of a new pickup that is currently under design, but appears to have some favorable features.
However, ordering a new Mustang Mach-E now comes with an additional fee for one basic EV feature: the frunk.
The frunk is the front trunk, and due to the lack of a large engine in the front of an electric vehicle, OEMs are able to offer additional storage space under the hood. There’s one problem, though, and that is that companies appear to be recognizing that they can remove it for free while offering the function for a fee.
Ford is now charging $495 on the Mustang Mach-E frunk (front trunk). What are your thoughts on that? pic.twitter.com/EOzZe3z9ZQ
— Alan of TesCalendar 📆⚡️ (@TesCalendar1) February 24, 2026
Ford is charging $495 for the frunk.
Interestingly, the frunk size varies by vehicle, but the Mustang Mach-E features a 4.7 to 4.8 cubic-foot-sized frunk, which measures approximately 9 inches deep, 26 inches wide, and 14 inches high.
When the vehicle was first released, Ford marketed the frunk as the ultimate tailgating feature, showing it off as a perfect place to store and serve cold shrimp cocktail.
Ford Mach-E frunk is perfect for chowders and chicken wings, and we’re not even joking
It appears the decision to charge for what is a simple advantage of an EV is not going over well, as even Ford loyal customers say the frunk is a “basic expectation” of an EV. Without it, it seems as if fans feel the company is nickel-and-diming its customers.
It will be pretty interesting to see the Mach-E without a frunk, and while it should not be enough to turn people away from potentially buying the vehicle, it seems the decision to add an additional charge to include one will definitely annoy some customers.
News
Tesla to improve one of its best features, coding shows
According to the update, Tesla will work on improving the headlights when coming into contact with highly reflective objects, including road signs, traffic signs, and street lights. Additionally, pixel-level dimming will happen in two stages, whereas it currently performs with just one, meaning on or off.
Tesla is looking to upgrade its Matrix Headlights, a unique and high-tech feature that is available on several of its vehicles. The headlights aim to maximize visibility for Tesla drivers while being considerate of oncoming traffic.
The Matrix Headlights Tesla offers utilize dimming of individual light pixels to ensure that visibility stays high for those behind the wheel, while also being considerate of other cars by decreasing the brightness in areas where other cars are traveling.
Here’s what they look like in action:
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- Credit: u/ObjectiveScratch | Reddit
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- Credit: u/ObjectiveScratch | Reddit
As you can see, the Matrix headlight system intentionally dims the area where oncoming cars would be impacted by high beams. This keeps visibility at a maximum for everyone on the road, including those who could be hit with bright lights in their eyes.
There are still a handful of complaints from owners, however, but Tesla appears to be looking to resolve these with the coming updates in a Software Version that is currently labeled 2026.2.xxx. The coding was spotted by X user BERKANT:
🚨 Tesla is quietly upgrading Matrix headlights.
Software https://t.co/pXEklQiXSq reveals a hidden feature:
matrix_two_stage_reflection_dip
This is a major step beyond current adaptive high beams.
What it means:
• The car detects highly reflective objects
Road signs,… pic.twitter.com/m5UpQJFA2n— BERKANT (@Tesla_NL_TR) February 24, 2026
According to the update, Tesla will work on improving the headlights when coming into contact with highly reflective objects, including road signs, traffic signs, and street lights. Additionally, pixel-level dimming will happen in two stages, whereas it currently performs with just one, meaning on or off.
Finally, the new system will prevent the high beams from glaring back at the driver. The system is made to dim when it recognizes oncoming cars, but not necessarily objects that could produce glaring issues back at the driver.
Tesla’s revolutionary Matrix headlights are coming to the U.S.
This upgrade is software-focused, so there will not need to be any physical changes or upgrades made to Tesla vehicles that utilize the Matrix headlights currently.
Elon Musk
xAI’s Grok approved for Pentagon classified systems: report
Under the agreement, Grok can be deployed in systems handling classified intelligence analysis, weapons development, and battlefield operations.
Elon Musk’s xAI has signed an agreement with the United States Department of Defense (DoD) to allow Grok to be used in classified military systems.
Previously, Anthropic’s Claude had been the only AI system approved for the most sensitive military work, but a dispute over usage safeguards has reportedly prompted the Pentagon to broaden its options, as noted in a report from Axios.
Under the agreement, Grok can be deployed in systems handling classified intelligence analysis, weapons development, and battlefield operations.
The publication reported that xAI agreed to the Pentagon’s requirement that its technology be usable for “all lawful purposes,” a standard Anthropic has reportedly resisted due to alleged ethical restrictions tied to mass surveillance and autonomous weapons use.
Defense Secretary Pete Hegseth is scheduled to meet with Anthropic CEO Dario Amodei in what sources expect to be a tense meeting, with the publication hinting that the Pentagon could designate Anthropic a “supply chain risk” if the company does not lift its safeguards.
Axios stated that replacing Claude fully might be technically challenging even if xAI or other alternative AI systems take its place. That being said, other AI systems are already in use by the DoD.
Grok already operates in the Pentagon’s unclassified systems alongside Google’s Gemini and OpenAI’s ChatGPT. Google is reportedly close to an agreement that will result in Gemini being used for classified use, while OpenAI’s progress toward classified deployment is described as slower but still feasible.
The publication noted that the Pentagon continues talks with several AI companies as it prepares for potential changes in classified AI sourcing.
Ford is charging for a basic EV feature on the Mustang Mach-E
Tesla to improve one of its best features, coding shows
