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Tesla Model S driver using Autopilot arrested for sleeping while driving 90 mph

(Image: RCMP/Twitter)

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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.”

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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.

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“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.

Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Elon Musk

Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story

Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.

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Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.

The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.

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The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.

For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.

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Elon Musk

Tesla isn’t joking about building Optimus at an industrial scale: Here we go

Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.

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Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”

Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.

Credit: TESLA

Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.

As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.

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Investor's Corner

Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues

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Credit: Tesla

Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.

The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.

As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.

Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.

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Tesla Q1 2026 Earnings Results

Tesla’s Earnings Results are as follows:

  • Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
  • Revenues – $22.387 billion vs. $22.35 billion Expected
  • Free Cash Flow – $1.444 billion
  • Profit – $4.72 billion

Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.

On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.

Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.

You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.

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