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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.
Elon Musk
Elon Musk’s X will start using a Tesla-like software update strategy
The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.
Elon Musk’s social media platform X will adopt a Tesla-esque approach to software updates for its algorithm.
The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.
X’s updates to its updates
As per Musk in a post on X, the social media company will be making a new algorithm to determine what organic and advertising posts are recommended to users. These updates would then be repeated every four weeks.
“We will make the new 𝕏 algorithm, including all code used to determine what organic and advertising posts are recommended to users, open source in 7 days. This will be repeated every 4 weeks, with comprehensive developer notes, to help you understand what changed,” Musk wrote in his post.
The initiative somewhat mirrors Tesla’s over-the-air update model, where vehicle software is regularly refined and pushed to users with detailed release notes. This should allow users to better understand the details of X’s every update and foster a healthy feedback loop for the social media platform.
xAI and X
X, formerly Twitter, has been acquired by Elon Musk’s artificial intelligence startup, xAI last year. Since then, xAI has seen a rapid rise in valuation. Following the company’s the company’s upsized $20 billion Series E funding round, estimates now suggest that xAI is worth tens about $230 to $235 billion. That’s several times larger than Tesla when Elon Musk received his controversial 2018 CEO Performance Award.
As per xAI, 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.
News
Tesla FSD Supervised wins MotorTrend’s Best Driver Assistance Award
The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system.
Tesla’s Full Self-Driving (Supervised) system has been named the best driver-assistance technology on the market, earning top honors at the 2026 MotorTrend Best Tech Awards.
The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system. And it wasn’t even close.
MotorTrend reverses course
MotorTrend awarded Tesla FSD (Supervised) its 2026 Best Tech Driver Assistance title after extensive testing of the latest v14 software. The publication acknowledged that it had previously criticized earlier versions of FSD for erratic behavior and near-miss incidents, ultimately favoring rivals such as GM’s Super Cruise in earlier evaluations.
According to MotorTrend, the newest iteration of FSD resolved many of those shortcomings. Testers said v14 showed far smoother behavior in complex urban scenarios, including unprotected left turns, traffic circles, emergency vehicles, and dense city streets. While the system still requires constant driver supervision, judges concluded that no other advanced driver-assistance system currently matches its breadth of capability.
Unlike rival systems that rely on combinations of cameras, radar, lidar, and mapped highways, Tesla’s FSD operates using a camera-only approach and is capable of driving on city streets, rural roads, and freeways. MotorTrend stated that pure utility, the ability to handle nearly all road types, ultimately separated FSD from competitors like Ford BlueCruise, GM Super Cruise, and BMW’s Highway Assistant.
High cost and high capability
MotorTrend also addressed FSD’s pricing, which remains significantly higher than rival systems. Tesla currently charges $8,000 for a one-time purchase or $99 per month for a subscription, compared with far lower upfront and subscription costs from other automakers. The publication noted that the premium is justified given FSD’s unmatched scope and continuous software evolution.
Safety remained a central focus of the evaluation. While testers reported collision-free operation over thousands of miles, they noted ongoing concerns around FSD’s configurable driving modes, including options that allow aggressive driving and speeds beyond posted limits. MotorTrend emphasized that, like all Level 2 systems, FSD still depends on a fully attentive human driver at all times.
Despite those caveats, the publication concluded that Tesla’s rapid software progress fundamentally reshaped the competitive landscape. For drivers seeking the most capable hands-on driver-assistance system available today, MotorTrend concluded Tesla FSD (Supervised) now stands alone at the top.
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Elon Musk’s Grokipedia surges to 5.6M articles, almost 79% of English Wikipedia
The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago.
Elon Musk’s Grokipedia has grown to an impressive 5,615,201 articles as of today, closing in on 79% of the English Wikipedia’s current total of 7,119,376 articles.
The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago. Needless to say, it would only be a matter of time before Grokipedia exceeds English Wikipedia in sheer volume.
Grokipedia’s rapid growth
xAI’s vision for Grokipedia emphasizes neutrality, while Grok’s reasoning capabilities allow for fast drafting and fact-checking. When Elon Musk announced the initiative in late September 2025, he noted that Grokipedia would be an improvement to Wikipedia because it would be designed to avoid bias.
At the time, Musk noted that Grokipedia “is a necessary step towards the xAI goal of understanding the Universe.”
Grokipedia was launched in late October, and while xAI was careful to list it only as Version 0.1 at the time, the online encyclopedia immediately earned praise. Wikipedia co-founder Larry Sanger highlighted the project’s innovative approach, noting how it leverages AI to fill knowledge gaps and enable rapid updates. Netizens also observed how Grokipedia tends to present articles in a more objective manner compared to Wikipedia, which is edited by humans.
Elon Musk’s ambitious plans
With 5,615,201 total articles, Grokipedia has now grown to almost 79% of English Wikipedia’s article base. This is incredibly quick, though Grokipedia remains text-only for now. xAI, for its part, has now updated the online encyclopedia’s iteration to v0.2.
Elon Musk has shared bold ideas for Grokipedia, including sending a record of the entire knowledge base to space as part of xAI’s mission to preserve and expand human understanding. At some point, Musk stated that Grokipedia will be renamed to Encyclopedia Galactica, and it will be sent to the cosmos.
“When Grokipedia is good enough (long way to go), we will change the name to Encyclopedia Galactica. It will be an open source distillation of all knowledge, including audio, images and video. Join xAI to help build the sci-fi version of the Library of Alexandria!” Musk wrote, adding in a later post that “Copies will be etched in stone and sent to the Moon, Mars and beyond. This time, it will not be lost.”
Elon Musk’s X will start using a Tesla-like software update strategy
Tesla FSD Supervised wins MotorTrend’s Best Driver Assistance Award
