News
Robocar to attempt first self-driving hill climb at Goodwood Festival of Speed
Robocar, an autonomous purpose-built race car driven by an AI system, will soon be taking on its biggest challenge yet — the 2018 Goodwood Festival of Speed, which is set to be held this coming July 12-15 in West Sussex, England. In the event, Robocar would have to traverse the iconic hill climb’s 1.16-mile track on its own, using only its array of advanced sensors and AI to help it finish the challenging run.
Roborace, the company behind the creation of Robocar, had already proven that its autonomous driving technology could drive a high-speed vehicle around a race track. Roborace also believes that Robocar is equipped with just the right amount of tech to give it a good fighting chance to not only finish the hill climb event, but do so with authority.
Robocar is futuristic, and it definitely looks the part. The vehicle is designed by Daniel Simon, the man behind the designs of vehicles in blockbuster movies like Tron: Legacy and Oblivion. As featured in a recent video on Roborace’s official YouTube channel, Robocar is equipped with a variety of sensors to help it accomplish its task, including GPS, radar, LiDAR, ultrasonic sensors, and machine vision cameras that collect data around the car.
Robocar’s suite of sensors. [Credit: Roborace]
The vehicle’s tech extends to its interior, with Robocar being equipped with four 135 kW electric motors that produce 500 hp, as well as a 58 kWh battery. Powered by NVIDIA Drive PX 2 processors, the vehicle is capable of hitting speeds of up to 199 mph (320 kph). Robocar is also operated by an AI system provided by Arrival that decides how fast the car must go and how it should tackle the conditions of the track.
All this tech has to come together on July 12. Robocar, after all, would be the first autonomous race car to attempt the run, and Rod Chong, deputy CEO of Roborace, expects the vehicle to attract a lot of attention when it shows up to the event.
“We’re pretty sure when the car appears, people will freak out. We aren’t sleeping very well right now,” he said.
Roborace expects Robocar to have some challenges during the hill climb event, considering that the trees in the track are bound to block the GPS satellite GPS signals for the vehicle, which could compromise the car’s capability to map its position accurately. In order to get around this problem, Roborace developers have written a custom software for the event, which uses Robocar’s LiDAR sensors for real-time environment perception. The Roborace team also plans to run the autonomous car every morning during the Festival of Speed before the official events begin, in order to allow Robocar to scan the track and account for objects that could be different from the day before.
Chong stated that Roborace is not really looking to set any records in the Goodwood Festival of Speed this year. Instead, the team would be happy if Robocar can simply finish all three days of the event without any issues. Nevertheless, the deputy CEO noted that ultimately, they would like Robocar to have a good run with a good level of speed.
“We want to run to a good level of speed—it’ll be visually exciting, believe me,” he said.
The founder of the Goodwood Festival of Speed, Charles Gordon-Lennox, the Duke of Richmond, however, is quite excited about the prospect of Robocar driving itself through his estate’s race track in high speeds.
“I can’t think of a more exciting way to celebrate our Silver Jubilee than to have Roborace attempt the first autonomous race car run up the hill. Roborace plays an important role in the future of mobility, challenging public perceptions and providing a platform to advance new technologies. This makes them the perfect partner to undertake this significant feat,” he said.
Here’s a brief video on the tech inside Robocar.
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:
- Credit: u/ObjectiveScratch | Reddit
- 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.

