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Tesla is patenting a clever way to train Autopilot with augmented camera images
Tesla is currently tackling what could only be described as its biggest challenge to date. In his Master Plan, Part Deux, CEO Elon Musk envisioned a fleet of zero-emissions vehicles that are capable of driving on their own. Tesla has made steps towards this goal with improvements and refinements to its Autopilot and Full Self-Driving suites, but a lot of work remains to be done.
As noted by Tesla during its Autonomy Day presentation last year, attaining Full Self-Driving is largely a matter of training the neural networks used by the company. Tesla adopts what could be described as a somewhat organic approach for autonomy, with the company using a system that is centered on cameras and artificial intelligence — the equivalent of a human primarily using the eyes and brain to drive.
Tesla’s camera-centric approach may be quite controversial due to Elon Musk’s strong stance against LiDAR, but it is gaining ground, with other autonomous vehicle companies such as MobilEye developing FSD systems that rely primarily on visual data and a trained neural network. This approach does come with its challenges, as training neural networks requires tons of data. Tesla emphasized this point as much during its Autonomy Day presentation.
With this in mind, it is pertinent for the electric car maker to train its neural networks in a way that is as efficient as possible with zero compromises. To help accomplish this, Tesla seems to be looking into the utilization of augmented data, as described in a recently published patent titled “Systems and Methods for Training Machine Models with Augmented Data.”
Teslas are equipped with a suite of cameras that provide 360-degree visual coverage for the vehicle. In the patent’s description, Tesla noted that images used for neural network training are usually captured by various sensors, which, at times, have different characteristics. An example of this may lie in a Tesla’s three forward-facing cameras, each of which has a different field of view and range as the other two.
Tesla’s recent patent describes a system that allows the company to process these images in an optimized manner. Part of how this is done is through augmentation, which opens the doors to flexible and widespread neural network training, even when it involves vehicles equipped with differently-specced cameras. The electric car maker describes this process as such:
“Augmentation may provide generalization and greater robustness to the model prediction, particularly when images are clouded, occluded, or otherwise do not provide clear views of the detectable objects. These approaches may be particularly useful for object detection and in autonomous vehicles. This approach may also be beneficial for other situations in which the same camera configurations may be deployed to many devices. Since these devices may have a consistent set of sensors in a consistent orientation, the training data may be collected with a given configuration, a model may be trained with augmented data from the collected training data, and the trained model may be deployed to devices having the same configuration.”
Among the most notable aspects of Tesla’s recent patent is the use of “cutouts,” which allow Tesla’s neural networks to be trained using an optimized set of images. This was something that was discussed by former Tesla Autopilot engineer Eshak Mir in a Third Row Podcast interview, where he hinted at a system adopted in the electric car maker’s ongoing Autopilot rewrite that helped lay out “all the camera images” from a vehicle “into one view.” Such a process has the potential to help Tesla with 3D labeling, especially since the images used for neural network training are stitched together. Tesla’s patent seems to reference a system that is very similar to that described by the former Autopilot engineer.
“As a further example, the images may be augmented with a“cutout” function that removes a portion of the original image. The removed portion of the image may then be replaced with other image content, such as a specified color, blur, noise, or from another image. The number, size, region, and replacement content for cutouts may be varied and may be based on the label of the image (e.g., the region of interest in the image, or a bounding box for an object).”
Tesla is aiming to release a feature-complete version of its Full Self-Driving suite as soon as possible. Elon Musk remains optimistic about this, despite the company missing its initial timeline that was set at the end of 2019. That being said, Elon Musk did mention previously that Tesla is working on a foundational rewrite of Autopilot. In a tweet early last month, Musk stated that an essential part of the rewrite involves work on Autopilot’s core foundation code and 3D labeling. Once done, the CEO indicated that additional functionalities could be rolled out quickly. This recent patent, if any, seems to give a glimpse at how these improvements are being done.
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Tesla influencers argue company’s polarizing Full Self-Driving transfer decision
Tesla maintains it will honor transfers for orders with initial delivery windows before the deadline and offers full deposit refunds otherwise, citing longstanding fine print that the program is “subject to change at any time.”
Tesla’s decision to tighten its Full Self-Driving (FSD) transfer promotion has ignited fierce debate among owners and enthusiasts.
The company quietly updated its terms in late February 2026, changing the eligibility from “order by March 31, 2026” to “take delivery by March 31, 2026.”
What began as a flexible incentive to boost sales, allowing buyers to transfer their paid FSD (Supervised) to a new vehicle, now excludes many, particularly Cybertruck owners facing delivery delays into summer or later.
Tesla maintains it will honor transfers for orders with initial delivery windows before the deadline and offers full deposit refunds otherwise, citing longstanding fine print that the program is “subject to change at any time.”
The reversal has polarized the Tesla community, with accusations of a “bait-and-switch” clashing against defenses of corporate pragmatism. Many owners who placed orders under the original wording feel betrayed, especially as production backlogs and new unsupervised FSD rollout complicate timelines.
However, Tesla has allowed them to cancel their orders and receive a refund.
Critics of the decision argue that the change disadvantages loyal customers who helped fund FSD development, calling it poor communication and a revenue grab as Tesla pivots toward subscriptions.
Popular influencers have amplified the divide. Whole Mars Catalog struck a measured but firm tone, acknowledging the original “order by” language but emphasizing Tesla’s right to adjust terms. He has continued to defend Tesla in this particular issue:
Sad to see so many fans trashing Tesla with such extreme language.
LIARS!!! PATHETIC!!! And if you aren’t as furious and angry as they are they are you’re “worshipping” and saying “they can do no wrong”.
Let’s get real here. They’re not liars. They offered FSD transfer to us… https://t.co/3Ay7vGaVR6
— Whole Mars Catalog (@wholemars) March 3, 2026
He criticized extreme backlash as “dramatization” and “spoiled kids,” noting the unsupervised FSD era and broader sales challenges make blanket transfers financially risky. Whole Mars advocated for polite outreach to CEO Elon Musk over the issue.
Rather than “calling them out”, I would simply say “Hey Elon, really hoped to be able to do FSD transfer on my cybertruck but the terms changed. Would really appreciate if Tesla could extend this to everyone who ordered before the terms changes”
that would probably work
— Whole Mars Catalog (@wholemars) March 3, 2026
In a contrasting perspective, Dirty TesLA voiced sharper frustration, posting that blocking transfers feels “crazy” and distancing himself from “people that want to worship a corporation and say they can do no wrong.” His stance resonated with owners who view the policy flip as disrespectful to early adopters.
Popular Tesla influencer Sawyer Merritt captured the frustration felt by thousands. In a widely shared thread viewed over 700,000 times, Merritt detailed how pre-change Cybertruck orders now risk losing FSD eligibility unless their initial delivery window falls before March 31.
It’s not a contradiction, it’s a change in policy that Tesla just made an hour ago. I am trying to check if the change is retroactive to all existing orders, including Cybertruck AWD orders, because if it is, that sucks big time.
— Sawyer Merritt (@SawyerMerritt) February 28, 2026
The controversy underscores deeper tensions—between Tesla’s need for revenue discipline and owners’ expectations of goodwill. As FSD evolves toward unsupervised capability, the community remains split: some see the change as necessary business, others as a broken promise. Whether Tesla reconsiders under pressure or holds firm remains to be seen, but it does not appear they are planning to budge.
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Tesla Semi’s latest adoptee will likely encourage more of the same
Public visibility matters. When shoppers see a trusted name like Ralph’s running clean, high-tech trucks on public roads, skepticism fades. Competitors such as Albertsons, which pre-ordered Semis years ago, and other chains chasing ESG targets now have proof that electric autonomy works in real-world grocery fleets.
The latest adoptee of the Tesla Semi will likely encourage more businesses in the same realm to adopt the all-electric Class 8 truck, as a new company utilizing the Semi has been spotted in Southern California.
A sleek, futuristic Tesla Semi truck branded for Ralph’s Supermarkets was spotted cruising a Los Angeles highway in a viral 13-second dashcam video posted March 2, by X user ChargePozitive.
Tesla Semi Truck in the wild pic.twitter.com/SnQY8ShMMJ
— ChargePozitive ⚡️➕ (@ChargePozitive) March 2, 2026
This sighting confirms Kroger’s March 2025 partnership with Tesla to deploy up to 500 autonomous electric Semis.
While the initial announcement targeted Midwest supply chains, the California appearance under the Ralph’s banner shows the program expanding to Kroger’s West Coast operations. Ralph’s, a staple for millions of Southern California shoppers, is now hauling groceries with the Semi, which has zero tailpipe emissions and claims up to 500 miles of range per charge.
Tesla Semi pricing revealed after company uncovers trim levels
The timing could not be better for sustainable logistics. Traditional trucking accounts for a massive share of retail emissions, but Tesla’s Semi slashes fuel and maintenance costs while leveraging full autonomy to ease driver shortages and improve safety.
Tesla’s expanding Megacharger network, including new sites along major freight corridors and partnerships like the recently-announced one with Pilot Travel Centers, is removing range anxiety and making nationwide scaling realistic. There’s still a long way to go, but things are moving in the right direction.
Public visibility matters. When shoppers see a trusted name like Ralph’s running clean, high-tech trucks on public roads, skepticism fades. Competitors such as Albertsons, which pre-ordered Semis years ago, and other chains chasing ESG targets now have proof that electric autonomy works in real-world grocery fleets.
PepsiCo’s successful pilots already demonstrated viability, and Ralph’s sighting adds retail credibility.
As Tesla ramps high-volume Semi production through 2026, this isn’t an isolated curiosity. Instead, it’s a catalyst. More grocers adopting the platform will accelerate industry-wide decarbonization, cut operating expenses, and deliver tangible environmental wins.
The future of sustainable supply chains is already on the highway, and Ralph’s just made it impossible to ignore.
Moving forward, Tesla hopes to expand the Semi program into other regions, including Europe, which CEO Elon Musk recently said is a total possibility next year.
Elon Musk
Tesla ramps Cybercab test manufacturing ahead of mass production
Tesla still has plans for volume production, which remains between four and eight weeks away, aligning with Musk’s statements that early ramps would be deliberately measured given the Cybercab’s novel architecture and full reliance on Tesla’s vision-based Full Self-Driving technology.
Tesla is seemingly ramping Cybercab test manufacturing ahead of mass production, which is scheduled to begin next month, the company said.
At Tesla’s Gigafactory Texas, production of the Cybercab, the company’s groundbreaking purpose-built Robotaxi vehicle, is accelerating markedly. Drone footage from Joe Tegtmeyer captured striking aerial footage today, revealing what appears to be the largest public sighting of Cyebrcabs to date.
A total of 25 units were observed by Tegtmeyer across the Gigafactory Texas property, marking a clear step-up in testing and validation activities as Tesla prepares for a broader output.
Tesla Cybercab production begins: The end of car ownership as we know it?
In the footage, 14 metallic gold Cybercabs were parked in a tight formation outside the factory exit, showcasing their sleek, autonomous-only design with no steering wheels, pedals, or traditional controls. Another 9 units sat at the crash testing facility, likely undergoing structural and safety validations, while two more appeared at the west end-of-line area for final checks.
Big day for Cybercab at Giga Texas today! Actually, yesterday to kick off March, the production line went into a higher volume & today we see 25 at three main locations, and there were several others I observed driving around too!
I think this may be the largest single grouping… pic.twitter.com/HZDMNv57lJ
— Joe Tegtmeyer 🚀 🤠🛸😎 (@JoeTegtmeyer) March 3, 2026
Tegtmeyer noted additional Cybercabs driving around the complex, hinting at active movement and real-world testing beyond static parking.
This surge follows the first production Cybercab rolling off the line in mid-February 2026, several weeks ahead of the originally anticipated April start.
That milestone, celebrated by Tesla employees and confirmed by CEO Elon Musk, kicked off low-volume builds on the dedicated “unboxed” manufacturing line, a modular process designed to slash costs, reduce factory footprint, and enable faster assembly compared to conventional methods.
Industry observers interpret the jump to dozens of visible units in early March as evidence that Tesla has transitioned into higher-volume test manufacturing.
Tesla still has plans for volume production, which remains between four and eight weeks away, aligning with Musk’s statements that early ramps would be deliberately measured given the Cybercab’s novel architecture and full reliance on Tesla’s vision-based Full Self-Driving technology.
The Cybercab, envisioned as a sub-$30,000 autonomous two-seater for robotaxi fleets, represents Tesla’s bold pivot toward scalable autonomy and robotics.
Tesla fans and enthusiasts on X praised the imagery, with many expressing excitement over the visible progress toward deployment. While challenges remain, including software maturity, regulatory hurdles, and supply chain scaling, the increased factory activity underscores Tesla’s momentum in turning the Cybercab vision into reality.
As Giga Texas continues expanding and refining the manufacturing process of the Cybercab, the coming months will prove to be a pivotal time in determining how quickly this revolutionary vehicle reaches roads in the U.S. and internationally.
Tesla influencers argue company’s polarizing Full Self-Driving transfer decision
Tesla Semi’s latest adoptee will likely encourage more of the same
