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After Tesla trademarked ‘CYBERBACKPACK,’ the product’s inventor sits at a crossroads
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.
Elon Musk’s talk at Tesla Giga Texas Cyber Rodeo: updates and details
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.
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.
November 2019
I attended the unveiling of the Cybertruck where I got to meet Elon Musk, a person I have admired and respected for many years.Pop Quiz: How many Africans do you see in this photo? It’s definitely not equal to one. pic.twitter.com/MTLpB4lEUA
— Riz (@Riz) April 14, 2022
“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.
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.
Dear Twitter, do your thing ??
.@elonmusk @Tesla @Teslarati @InsideEVs @ElectrekCo #ElonMusk #elon #tesla #cyberbackpack pic.twitter.com/gPxJVcp50X— Riz (@Riz) April 16, 2022
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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Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
