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Tesla owner's frozen Model 3 experience shows how easy it is to use EVs in icy conditions

Tesla Model 3 frozen charge port (Source: Tesla Owners Online | Twitter)

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Does preheating your Tesla help when you have freezing rain? Another Tesla owner asked himself that question upon waking up to a completely frozen Model 3 in Ontario, Canada and documented why Tesla owners should preheat or defrost the car during snowy conditions.

Trevor Page, who runs the Tesla Owners Online YouTube channel, shared a video about his experience over the weekend when it rained all day in Toronto and temperatures dropped below zero overnight. He woke up to a Tesla Model 3 frozen charge port, frozen windows, frozen door handles, or practically — a completely frozen Model 3.

Page took the opportunity to put the preheat feature of Tesla in the spotlight. He set up a timelapse camera to see how it will defrost the vehicle. He checked on the car after half an hour but found out that the car’s charge port was still frozen, the windows started to defrost, and the windshield defrosted nicely. After an hour, the Model 3 owner found the car’s roof defrosted and he was also able to open the doors of the car. He was also able to pull out the charger and close the charge port.

“I know some of you are going straight to the comments and say stuff like ‘oh this is a Tesla problem’ and we’d never buy one… matter of fact, Tesla’s are fantastic in the winter but freezing rain is freezing rain. These kinds of problems can happen to any car,” Page said. “Do your pre-heat at least half an hour, maybe up to an hour and just use your phone app to heat it up. I will say that getting into a car that’s nice and warm and the windows defrosted is fantastic and the fact is you can do it in your garage without killing your family in the process.”

Tesla engineered its electric cars so they can be easily operated and remain efficient during the cold months. One can preheat a Tesla by switching on the preconditioning or defrost feature via the Tesla App to melt ice and snow on important surfaces. The system prioritizes specific parts of the car that are crucial to driving in icy conditions.

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A previous report where a Tesla owner used a thermal camera showed which parts of the car are heated up. It revealed that the Autopilot camera, as well as the side and rear cameras, were heated to ensure the Tesla car and driver see the environment clearly regardless of the weather. The headlamps, wheels, steering wheel, and wipers were also brought to an optimal temperature.

Tesla also has some snow and ice tips such as repositioning wipers to service position to prevent icing and deactivating mirror auto-fold. The carmaker also reminds owners to make sure that important surfaces are not frozen or covered before heading out for a drive. During cold weather, Tesla recommends to leave the car plugged in so the battery will retain some heat. There’s also the option to use Scheduled Departure to warm the vehicle up.

Check out the video from Tesla Owners Online below and see how Tesla’s preheating or defrosting feature works:

A curious soul who keeps wondering how Elon Musk, Tesla, electric cars, and clean energy technologies will shape the future, or do we really need to escape to Mars.

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Cybertruck

Tesla reveals its Cybertruck light bar installation fix

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u/Kruzat, see page for license, via Wikimedia Commons

Tesla has revealed its Cybertruck light bar installation fix after a recall exposed a serious issue with the accessory.

Tesla and the National Highway Traffic Safety Administration (NHTSA) initiated a recall of 6,197 Cybertrucks back in October to resolve an issue with the Cybertruck light bar accessory. It was an issue with the adhesive that was provided by a Romanian company called Hella Romania S.R.L.

Tesla recalls 6,197 Cybertrucks for light bar adhesive issue

The issue was with the primer quality, as the recall report from the NHTSA had stated the light bar had “inadvertently attached to the windshield using the incorrect surface primer.”

Instead of trying to adhere the light bar to the Cybertruck with an adhesive, Tesla is now going to attach it with a bracketing system, which will physically mount it to the vehicle instead of relying on adhesive strips or glue.

Tesla outlines this in its new Service Bulletin, labeled SB-25-90-001, (spotted by Not a Tesla App) where it shows the light bar will be remounted more securely:

The entire process will take a few hours, but it can be completed by the Mobile Service techs, so if you have a Cybertruck that needs a light bar adjustment, it can be done without taking the vehicle to the Service Center for repair.

However, the repair will only happen if there is no delamination or damage present; then Tesla could “retrofit the service-installed optional off-road light bar accessory with a positive mechanical attachment.”

The company said it would repair the light bar at no charge to customers. The light bar issue was one that did not result in any accidents or injuries, according to the NHTSA’s report.

This was the third recall on Cybertruck this year, as one was highlighted in March for exterior trim panels detaching during operation. Another had to do with front parking lights being too bright, which was fixed with an Over-the-Air update last month.

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Tesla is already expanding its Rental program aggressively

The program has already launched in a handful of locations, specifically, it has been confined to California for now. However, it does not seem like Tesla has any interest in keeping it restricted to the Golden State.

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Credit: Grok

Tesla is looking to expand its Rental Program aggressively, just weeks after the program was first spotted on its Careers website.

Earlier this month, we reported on Tesla’s intention to launch a crazy new Rental program with cheap daily rates, which would give people in various locations the opportunity to borrow a vehicle in the company’s lineup with some outrageous perks.

Along with the cheap rates that start at about $60 per day, Tesla also provides free Full Self-Driving operation and free Supercharging for the duration of the rental. There are also no limits on mileage or charging, but the terms do not allow the renter to leave the state from which they are renting.

The program has already launched in a handful of locations, specifically, it has been confined to California for now. However, it does not seem like Tesla has any interest in keeping it restricted to the Golden State.

Job postings from Tesla now show it is planning to launch the Rental program in at least three new states: Texas, Tennessee, and Massachusetts.

The jobs specifically are listed as a Rental Readiness Specialist, which lists the following job description:

“The Tesla Rental Program is looking for a Rental Readiness Specialist to work on one of the most progressive vehicle brands in the world. The Rental Readiness Specialist is a key contributor to the Tesla experience by coordinating the receipt of incoming new and used vehicle inventory. This position is responsible for fleet/lot management, movement of vehicles, vehicle readiness, rental invoicing, and customer hand-off. Candidates must have a high level of accountability, and personal satisfaction in doing a great job.”

It also says that those who take the position will have to charge and clean the cars, work with clients on scheduling pickups and drop-offs, and prepare the paperwork necessary to initiate the rental.

The establishment of a Rental program is big for Tesla because it not only gives people the opportunity to experience the vehicles, but it is also a new way to rent a car.

Just as the Tesla purchasing process is more streamlined and more efficient than the traditional car-buying experience, it seems this could be less painful and a new way to borrow a car for a trip instead of using your own.

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Elon Musk

Elon Musk’s xAI gains first access to Saudi supercluster with 600k Nvidia GPUs

The facility will deploy roughly 600,000 Nvidia GPUs, making it one of the world’s most notable superclusters.

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A Saudi-backed developer is moving forward with one of the world’s largest AI data centers, and Elon Musk’s xAI will be its first customer. The project, unveiled at the U.S.–Saudi Investment Forum in Washington, D.C., is being built by Humain, a company supported by Saudi Arabia’s Public Investment Fund. 

The facility will deploy roughly 600,000 Nvidia GPUs, making it one of the world’s most notable superclusters.

xAI secures priority access

Nvidia CEO Jensen Huang stated that the planned data center marks a major leap not just for the region but for the global AI ecosystem as a whole. Huang joked about the sheer capacity of the build, emphasizing how unusual it is for a startup to receive infrastructure of such magnitude. The facility is designed to deliver 500 megawatts of Nvidia GPU power, placing it among the world’s largest AI-focused installations, as noted in a Benzinga report.

“We worked together to get this company started and off the ground and just got an incredible customer with Elon. Could you imagine a startup company, approximately $0 billion in revenues, now going to build a data center for Elon? 500 megawatts is gigantic. This company is off the charts right away,” Huang said.

Global Chipmakers Join Multi-Vendor Buildout To Enhance Compute Diversity

While Nvidia GPUs serve as the backbone of the first phase, Humain is preparing a diversified hardware stack. AMD will supply its Instinct MI450 accelerators, which could draw up to 1 gigawatt of power by 2030 as deployments ramp. Qualcomm will also contribute AI200 and AI250 data center processors, accounting for an additional 200 megawatts of compute capacity. Cisco will support the networking and infrastructure layer, helping knit the multi-chip architecture together.

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Apart from confirming that xAI will be the upcoming supercluster’s first customer, Musk also joked about the rapid scaling needed to train increasingly large AI models. He joked that a theoretical expansion one thousand times larger of the upcoming supercluster “would be 8 bazillion, trillion dollars,” highlighting the playful exaggeration he often brings to discussions around extreme compute demand.

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