News
Tesla Model S driver using Autopilot arrested for sleeping while driving 90 mph
Tesla’s Autopilot is meant to be an assistance feature for alert drivers to both increase their enjoyment of driving and add a layer of vehicle safety. However, stories about irresponsible users come into the news cycle on occasion, this time from a 2019 Model S owner in Alberta, Canada. On Thursday, the Royal Canadian Mounted Police (RCMP) reported the arrest, license suspension, and court summons of a young driver from British Columbia after using his Tesla’s Autopilot while asleep. The all-electric sedan reached over 90 mph before pulling over during the incident which occurred on July 9, 2020.
“Alberta RCMP received a complaint of a car speeding on Hwy 2 near #Ponoka. The car appeared to be self-driving, travelling over 140 km/h with both front seats completely reclined & occupants appeared to be asleep,” the RCMP official Twitter account detailed. “The driver received a Dangerous Driving charge & summons for court.”
Alberta RCMP received a complaint of a car speeding on Hwy 2 near #Ponoka. The car appeared to be self-driving, travelling over 140 km/h with both front seats completely reclined & occupants appeared to be asleep. The driver received a Dangerous Driving charge & summons for court pic.twitter.com/tr0RohJDH1
— RCMP Alberta (@RCMPAlberta) September 17, 2020
The Tesla Model S was also said to have automatically sped up from about 87 mph to about 93 mph when approached by the police vehicle. No injuries resulted from the incident.
In a more detailed report on the RCMP website, it was noted that the 20 year-old driver received a 24-hour license suspension for fatigue after being pulled over. Additionally, the driver’s court date is set for December to address the charges. “Although manufacturers of new vehicles have built in safeguards to prevent drivers from taking advantage of the new safety systems in vehicles, those systems are just that — supplemental safety systems,” Superintendent Gary Graham of Alberta RCMP Traffic Services stated in the RCMP report. “They are not self-driving systems, they still come with the responsibility of driving.”
Some replies to the RCMP’s Twitter post suggested that the two Tesla Model S occupants were likely pulling a prank on onlookers and police, but the lack of road awareness during the event is still dangerous regardless of intent. It also explicitly goes against Tesla’s user manual along with frequent and insistent reminders that the feature is not meant to function without human supervision at this time. As any Autopilot user can attest, the vehicles will remind drivers to stay alert and place their hands on the wheel if their presence is not detected for a few seconds, escalating the visual and audible warnings, and ultimately locking the driver out of the feature for the duration of the trip if repeatedly ignored.
Still, the ability to manipulate Tesla’s Autopilot system is taken advantage of despite warnings against such action, and heavy criticism has been levied against the electric carmaker because of it. For instance, last December Democratic U.S. Senator Ed Markey of Massachusetts demanded that the company disable the feature until its ‘flaws’ were remedied.
“Autopilot clearly can’t be allowed to replace drivers on our roads. This tech will continue causing harm until Tesla takes action to fix its flawed system and make sure drivers are paying attention,” Markey wrote on Twitter. “That’s why I sent a letter demanding Tesla take action to protect the public.” His comments were in response to an accident involving a Tesla crashing into a police car. The driver was checking on his dog in the back seat at the time of the collision, according to reports.
For those needing any assistance with understanding the safety precautions required while using Autopilot, or perhaps a bit of a laugh, Teslarati has put something together for the occasion: “The Tesla hitchhiker’s guide to getting the most out of your Autopilot experience.“
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, 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.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
