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
Elon Musk secretly acquires $1B energy company to power the AI future
Elon Musk flew under the radar with his recent purchase of a $1 billion energy company, according to Federal Trade Commission (FTC) documents.
Transaction number 202612350 listed Tesla and SpaceX frontman Elon Musk as the acquiring party and CF APR Super Holdings LLC as the seller, with New APR Energy, LLC as the acquired entity. The deal, which closed without public announcement, came to light on May 14.
BREAKING: Elon Musk acquires Jacksonville power company APR Energy in a deal valued at more than $1,000,000,000.00.
— Polymarket Money (@PolymarketMoney) July 15, 2026
Analysts inferred the deal’s scale from minority stakeholder disclosures, including one report of a 5 percent interest sold for approximately $50.4 million. Fortress Investment Group had purchased APR’s assets in late 2024, rebranded the operation as New APR Energy, and subsequently transferred ownership to Musk.
APR Energy specializes in rapidly deployable power infrastructure. The company maintains one of the world’s largest fleets of mobile gas and diesel turbines, with more than 1.1 gigawatts of generation capacity. Its modular units, which are often trailer-mounted, enable turnkey installations ranging from 20 MW to over 500 MW.
APR provides full engineering, procurement, construction, operation, and maintenance services for behind-the-meter power plants, serving everything from data centers, utilities, and industrial clients.
The firm has expanded aggressively to meet surging demand, recently adding turbines and deploying over 100 MW for a major AI hyperscaler. Its solutions bridge critical gaps where grid interconnections face delays of two to five years, according to Yahoo.
The acquisition means something more for Musk. As he continues to expand projects in artificial intelligence, especially xAI, his AI venture, there is a greater need to supply energy-intensive supercomputing clusters, including the Colossus project, with what they need: reliable and high-capacity power.
Ownership of APR provides immediate access to flexible generation assets that can be deployed adjacent to data centers, reducing dependence on a strained infrastructure. It also complements Tesla’s energy storage business, so Musk will be able to pull from his own entities to address the rapid scaling demands of AI training and compute.
News
Tesla has to fix a big problem with its old headlights, NHTSA says
Tesla had a petition protesting a recall to fix a potential issue with 2017-2023 Model Y and Model 3 vehicles’ headlights was denied, as the National Highway Traffic Safety Administration (NHTSA) disagreed with the company’s opinion of things.
The recall covers approximately 19,917 Model Y and Model 3 vehicles built from 2017 to 2023. Tesla initially submitted a noncompliance report for the headlights on these vehicles on March 15, 2024. Tesla then petitioned for an exemption from the fix, which violated FMVSS No. 108 (40 CFR 571.108), arguing that the “noncompliance is inconsequential as it relates to motor vehicle safety.
🚨 Tesla was denied a petition by the NHTSA to avoid a recall of 19,900 2017-2023 Model 3 and Model Y vehicles.
The NHTSA found that the vehicles’ headlights may exceed maximum lighting levels. Tesla argued it was inconsequential and did not require a recall. pic.twitter.com/m8Jmm1teLL
— TESLARATI (@Teslarati) July 16, 2026
The NHTSA disagreed, stating that Tesla’s conclusion that the headlights do not increase any risk was not an opinion it shared. The agency said it disagreed with Tesla’s assumption that glare is not increased to surrounding traffic. This issue could be highlighted even more in certain weather conditions.
Tesla will be required to remedy the issue, the NHTSA ruled:
“In consideration of the foregoing, NHTSA has decided that Tesla has not met its burden of persuasion that the subject FMVSS No. 108 noncompliance is inconsequential to motor vehicle safety. Accordingly, Tesla’s petition is hereby denied, and Tesla is consequently obligated to provide notification of and free remedy for that noncompliance under 49 U.S.C. 30118 and 30120.”
The issue here appears to be the angle of the headlights and the brightness they emit during operation. The NHTSA report states that:
“Tesla’s headlamp supplier, Marelli Automotive Lighting, tested 25 right-hand and 25 left-hand lamps, and for this sample, found the maximum photometric intensity measured in the 10°U to 90°U and 90°L to 90°R zone was between 136.2 cd and 230.1 cd for the right-hand lamps and between 117.5 cd and 160.3 cd for the left-hand lamps. According to Tesla, these tests revealed that the photometric intensity of the right-hand and left-hand headlamp lower beam on the subject vehicles may measure as much as 230.1 cd in the 10°U to 90°U and 90°L to 90°R zone, exceeding the maximum photometric intensity by 105.1 cd. Additionally, Tesla states that a left-hand lamp tested by a Transport Canada recognized laboratory measured a maximum of 171.27 cd in the 10°U to 90°U and 90°L to 90°R zone. Despite these measurements exceeding the allowed photometric maximum of 125 cd, Tesla believes that the subject noncompliance is inconsequential to motor vehicle safety.”
Tesla also argued at some points that the headlights had not been deemed responsible for any complaints, accidents, or injuries related to the noncompliance.
Lifestyle
NTSB findings on fatal Tesla crash tell a very different story
The NTSB confirmed the driver, not Tesla’s FSD, caused the fatal Texas house crash.
The National Transportation Safety Board released preliminary findings Wednesday confirming that a Tesla driver, not the vehicle’s software, caused a fatal crash in Katy, Texas in June. The driver, 44-year-old Michael Butler, had engaged Full Self-Driving Supervised mode on Rose Hollow Lane, a residential street with a 30 mph speed limit, before manually overriding the system by pressing the accelerator pedal all the way to 100%. Data recovered from the 2025 Tesla Model 3 showed the vehicle was traveling over 70 miles per hour when it struck a home and killed 76-year-old Martha Avila, who was inside. Weather was clear, the road was dry, and it was daylight.
Texas man charged in fatal Tesla crash where he blamed Autopilot
Butler told authorities he had passed out at the wheel. But security camera footage obtained by the NTSB told a different story, and showed the car accelerating through an intersection before leaving the road entirely. Police also found that Butler’s phone had Google searches including the terms “Tesla FSD not aggressive enough 2026” and “Tesla FSD too timid,” raising serious questions about how he was using the system before the crash. Butler has since been charged with manslaughter. The victim’s family has filed a lawsuit against both Butler and Tesla, alleging negligence.
The NTSB findings aligned directly with what Tesla VP of AI Software Ashok Elluswamy had already stated publicly on X in the weeks after the crash, writing that “the driver manually overrode self-driving by pressing the accelerator all the way to 100%.” The data confirmed his account.
Yup. In this case, the driver manually overrode self-driving by pressing the accelerator all the way to 100% of the accel pedal in this residential area. They reached a speed of 73 mph during the crash, and had the accelerator pressed even after the crash.
— Ashok Elluswamy (@aelluswamy) June 22, 2026