News
Robocar becomes first autonomous race car to complete Goodwood hill climb
The 2018 Goodwood Festival of Speed is off with a bang, with high-profile car manufacturers and cutting-edge vehicles gracing the event. As could be seen in a recently uploaded video online, this year’s Festival of Speed also featured Robocar — an all-electric, fully-autonomous, AI-powered vehicle — successfully completing the event’s traditional hill climb course.
Roborace, the company behind the self-driving racecar, uploaded Robocar’s hill climb run on its official YouTube channel. The vehicle’s run was just a test session during the early morning before the festival officially started, but it did prove that the self-driving car was capable of traversing Goodwood’s 1.16-mile hill climb course independently. This was a milestone for Robocar’s development, considering that the Goodwood hill course presented several challenges to the vehicle’s systems.
Robocar is built from the ground up as an autonomous racecar. Thus, when attempting its run up Goodwood’s hill course, the car had to rely exclusively on data gathered by its array of sensors such as its GPS, radar, LiDAR, ultrasonic sensors, and machine vision cameras. Due to the terrain of the hill climb track, however, Robocar’s GPS was compromised, since the course’s narrow roads and trees block the car’s GPS signals, preventing the vehicle to map its position accurately. In order to address this challenge, Roborace developed a specialized code for Robocar just for the event, utilizing the car’s LiDAR sensors for real-time environment perception.
Robocar during its hill climb attempt at the 2018 Goodwood Festival of Speed. [Credit: Roborace/YouTube]
As could be seen in the company’s recently-uploaded video, it appears that the specialized code it developed for the self-driving racecar was enough to navigate the vehicle to the finish line without any problems.
Roborace hopes to eventually start a racing series with Robocar, with teams being issued identical cars and the competition being determined by how each vehicle is coded. Robocar, after all, is not just robust sensor-wise, it also packs some serious power, with the self-driving car being equipped with four 135 kW electric motors that produce 500 hp, as well as a 58 kWh battery. Within the heart of Robocar are NVIDIA Drive PX 2 processors, as well as an AI system provided by Arrival.
Robocar’s appearance at the Goodwood Festival of Speed was supported by the founder of the event himself, Charles Gordon-Lennox, better known as the Duke of Richmond. According to the Duke, he believes that the participation of a self-driving car such as Robocar in this year’s event is a statement for the future of mobility.
-
- Roborace’s booth at the 2018 Goodwood Festival of Speed. [Credit: Dean Scott]
-
- Roborace’s booth at the 2018 Goodwood Festival of Speed. [Credit: Dean Scott]
-
- Roborace’s booth at the 2018 Goodwood Festival of Speed. [Credit: Dean Scott]
Robocar featured in Roborace’s booth at the 2018 Goodwood Festival of Speed. [Credit: Dean Scott]
“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.
The 2018 Goodwood Festival of Speed starts on July 12 and ends on July 15. Several of the world’s biggest auto manufacturers, including Tesla, are participating in the event. As we noted in a previous report, Tesla’s booth at Goodwood, which features the Model 3 as its centerpiece, is proving to be quite popular with the event’s attendees.
Check out pictures of Tesla’s booth and the Model 3 at the event here.
Watch Robocar’s hill climb run in the video below.
News
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Elon Musk
Elon Musk’s Grok records lowest hallucination rate in AI reliability study
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6.
A December 2025 study by casino games aggregator Relum has identified Elon Musk’s Grok as one of the most reliable AI chatbots for workplace use, boasting the lowest hallucination rate at just 8% among the 10 major models tested.
In comparison, market leader ChatGPT registered one of the highest hallucination rates at 35%, just behind Google’s Gemini, which registered a high hallucination rate of 38%. The findings highlight Grok’s factual prowess despite the AI model’s lower market visibility.
Grok tops hallucination metric
The research evaluated chatbots on hallucination rate, customer ratings, response consistency, and downtime rate. The chatbots were then assigned a reliability risk score from 0 to 99, with higher scores indicating bigger problems.
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6. DeepSeek followed closely with 14% hallucinations and zero downtime for a stellar risk score of 4. ChatGPT’s high hallucination and downtime rates gave it the top risk score of 99, followed by Claude and Meta AI, which earned reliability risk scores of 75 and 70, respectively.
Why low hallucinations matter
Relum Chief Product Officer Razvan-Lucian Haiduc shared his thoughts about the study’s findings. “About 65% of US companies now use AI chatbots in their daily work, and nearly 45% of employees admit they’ve shared sensitive company information with these tools. These numbers show well how important chatbots have become in everyday work.
“Dependence on AI tools will likely increase even more, so companies should choose their chatbots based on how reliable and fit they are for their specific business needs. A chatbot that everyone uses isn’t necessarily the one that works best for your industry or gives accurate answers for your tasks.”
In a way, the study reveals a notable gap between AI chatbots’ popularity and performance, with Grok’s low hallucination rate positioning it as a strong choice for accuracy-critical applications. This was despite the fact that Grok is not used as much by users, at least compared to more mainstream AI applications such as ChatGPT.
News
Tesla (TSLA) receives “Buy” rating and $551 PT from Canaccord Genuity
He also maintained a “Buy” rating for TSLA stock over the company’s improving long-term outlook, which is driven by autonomy and robotics.
Canaccord Genuity analyst George Gianarikas raised his Tesla (NASDAQ:TSLA) price target from $482 to $551. He also maintained a “Buy” rating for TSLA stock over the company’s improving long-term outlook, which is driven by autonomy and robotics.
The analyst’s updated note
Gianarikas lowered his 4Q25 delivery estimates but pointed to several positive factors in the Tesla story. He noted that EV adoption in emerging markets is gaining pace, and progress in FSD and the Robotaxi rollout in 2026 represent major upside drivers. Further progress in the Optimus program next year could also add more momentum for the electric vehicle maker.
“Overall, yes, 4Q25 delivery expectations are being revised lower. However, the reset in the US EV market is laying the groundwork for a more durable and attractive long-term demand environment.
“At the same time, EV penetration in emerging markets is accelerating, reinforcing Tesla’s potential multi‑year growth runway beyond the US. Global progress in FSD and the anticipated rollout of a larger robotaxi fleet in 2026 are increasingly important components of the Tesla equity story and could provide sentiment tailwinds,” the analyst wrote.
Tesla’s busy 2026
The upcoming year would be a busy one for Tesla, considering the company’s plans and targets. The autonomous two-seat Cybercab has been confirmed to start production sometime in Q2 2026, as per Elon Musk during the 2025 Annual Shareholder Meeting.
Apart from this, Tesla is also expected to unveil the next-generation Roadster on April 1, 2026. Tesla is also expected to start high-volume production of the Tesla Semi in Nevada next year.
Apart from vehicle launches, Tesla has expressed its intentions to significantly ramp the rollout of FSD to several regions worldwide, such as Europe. Plans are also underway to launch more Robotaxi networks in several more key areas across the United States.
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
Elon Musk’s Grok records lowest hallucination rate in AI reliability study
