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After Tesla trademarked ‘CYBERBACKPACK,’ the product’s inventor sits at a crossroads

Credit: Riz Nwosu

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Riz Nwosu was inspired when he went to the Tesla Cybertruck unveiling in 2019. After snagging some pictures with the newly-revealed Cybertruck and company CEO Elon Musk, Riz developed a backpack inspired by the futuristic pickup he saw in Hawthorne, California, in late 2019. By December 2021, he had a prototype and a website. Less than six months later, he found Tesla had trademarked the name of his product.

Since December, Riz says he has been developing the “CYBERBACKPACK,” an idea that blossomed from a product unveiling nearly two and a half years ago. “I began designing and building what would become the Cyberbackpack,” Riz said in a blog post he published shortly after reports of Tesla trademarking the name. This all occurred just six months ago, with the first prototypes arriving at his house in March 2022. Later that month, the product would launch on ProductHunt and Spotify, as Riz had received plenty of inquiries from potential customers.

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In March, Riz reached out to Tesla CEO Elon Musk on Twitter and other prominent figures within the company, looking to collaborate on the idea. He felt as if the Cyberbackpack would be something both he and the automaker could benefit from. The Cybertruck, with its mass appeal and loyal following, would likely do well in a “backpack” version, and it would be a dream for Riz, who purchased his first Tesla in March 2016.

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On April 5, Tesla trademarked the “CYBERBACKPACK” name, bringing some speculation that the automaker had approached the fan to purchase or collaborate on his idea. After all, Riz’s website, Cyberbackpack.com, was not active when the initial reports came out earlier this week, which only fueled the speculation that Tesla probably liked the idea and decided to approach him about it. Riz was alarmed, however, as Tesla didn’t contact him about the bag, nor his idea or the name of the product. They had instead trademarked the name of the backpack, which sent Riz into a state of confusion.

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“I decided to temporarily take the site down after receiving a bunch of orders and reaching out to Tesla,” Riz told Teslarati in a statement. “I thought it best to rework the site and get my manufacturer setup properly and then relaunch.”

“Tesla never contacted me.”

Teslarati contacted several patent and trademark law firms, and representatives essentially explained Tesla may have trademarked the name to protect itself from any repercussions that could come from the product’s design. One lawyer explained to us it was a “strategic” and “defensive” strategy that Tesla may use to avoid a situation like Apple did with its AirPods. Apple had so many counterfeit AirPod designs on the market that eventually, it had to do damage control on knockoffs, as some were catching fire or having other dangerous malfunctions. The issue is that Apple could prove that consumers immediately think of “Apple” when they see designs of AirPod knockoffs. This is essentially dangerous to Apple, even though they did not create the AirPod knockoffs, because consumer sentiment relates that design to Apple, and not to a third-party company.

Tesla could technically argue the same thing, legal experts told us. People may see the Cyberbackpack’s design and immediately think Tesla designed it. If negativity were to come from that design in any way, people would likely relate the backpack to Tesla and not to a third-party company, which could damage Tesla’s name.

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Riz ultimately filed his own trademark application several days ago, with a “first use” date of December 2021, when he built the website and came up with the design. A loyal Tesla fan and supporter, Riz just wants to work with the company to help fulfill the idea. “My goal is to work with Tesla on some fashion to distribute the product. That’s why I reached out initially. However if that does not happen, then I would like to continue marketing and selling on my site,” he told us.

I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.

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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Tesla piggybacks recent Supercharger feature with update that takes it further

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

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Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

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Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”

However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

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I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

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Tesla responds to Robotaxi skeptics with a massive move in Austin

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Credit: @AdanGuajardo/X

Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.

The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.

Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:

This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.

It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.

The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.

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Tesla expands Robotaxi geofence, but not the garage

Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.

The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.

It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.

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It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.

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