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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 just unlocked sales to 50,000+ government agencies
It marks a significant step in expanding Tesla’s presence in the public sector, where procurement processes have traditionally slowed electric vehicle adoption.
Tesla just unlocked sales to over 50,000 government agencies by entering a new agreement with Sourcewell, a purchasing cooperative.
Tesla entered a new master purchasing agreement with Sourcewell, the largest government purchasing cooperative in the U.S. This will enable streamlined sales of its EVs to more than 50,000 U.S. public entities. Tesla entered Designated Contract 0813525-TES, and the agreement covers Model 3, Model Y, and Cybertruck, and potentially other vehicles the company could release.
It marks a significant step in expanding Tesla’s presence in the public sector, where procurement processes have traditionally slowed electric vehicle adoption.
The deal allows eligible agencies, including cities, school districts, state governments, and higher-education institutions, to purchase Tesla vehicles directly through Sourcewell without conducting their own lengthy competitive bidding or request-for-proposal (RFP) processes.
Pricing is pre-negotiated and capped, providing transparency and predictability. Agencies simply register for a Sourcewell account online or by phone and place orders under the existing contract. This cooperative model aggregates demand across thousands of members, reducing administrative costs and time while ensuring compliance with public procurement rules.
For Tesla, the agreement removes major barriers to government fleet sales. Public-sector procurement cycles often stretch 12 to 18 months due to bidding requirements and committee reviews.
Tesla buyers in the U.S. military can get $1,000 off Cybertruck purchases
By securing the master contract, Tesla gains immediate, simplified access to a massive customer base that previously faced friction in adopting EVs. The company highlighted in its announcement that the partnership will help these 50,000-plus agencies “save thousands of $$$ in operating costs for their vehicle fleet over time” through lower maintenance, energy efficiency, and the elimination of tailpipe emissions.
The initial four-year term runs through November 13, 2029, with options for up to three one-year extensions, offering long-term stability for both parties.
Sourcewell’s role is central to execution. As a cooperative purchasing organization, it negotiates and manages vendor contracts on behalf of its members, then makes them available nationwide. Participating entities contact Tesla’s dedicated fleet team or Sourcewell representatives to complete purchases, bypassing redundant paperwork.
This structure accelerates fleet electrification while maintaining fiscal accountability—agencies receive pre-vetted pricing and terms without reinventing the wheel for each vehicle order.
The partnership positions Tesla to capture a larger share of the public fleet market, where total cost of ownership often favors electric vehicles once procurement hurdles are removed.
For government buyers, it translates to faster deployment of sustainable fleets, reduced long-term expenses, and alignment with environmental mandates. As more agencies transition, the contract could contribute to broader EV infrastructure growth and taxpayer savings across the country.
Elon Musk
How much of SpaceX will Elon Musk own after IPO will surprise you
SpaceX’s IPO filing confirms Musk will maintain his voting power to make key decisions for the company.
Elon Musk will retain dominant voting control of SpaceX after it goes public, according to the company’s IPO prospectus that was filed with the SEC. The filing reveals a dual-class equity structure giving Class B shareholders 10 votes each, concentrating power with Musk and a handful of other insiders, while Class A shares sold to public investors carry one vote.
Musk holds approximately 42% of SpaceX’s equity and controls roughly 79% of its votes through super-voting shares. He will simultaneously serve as CEO, CTO, and chairman of the nine-member board after the listing. Beyond that, the filing includes provisions that may limit shareholders’ influence over board elections and legal actions, forcing disputes into arbitration and restricting where they can be brought.
The case for Musk holding this level of control is grounded in SpaceX’s actual history. The company’s most important bets, from reusable rockets to a global satellite internet constellation, were decisions that ran against conventional aerospace thinking and would likely have faced resistance from a board accountable to investor gains. Fully reusable rockets were considered economically irrational by established industry players for years. Starlink, which now generates over $4 billion in annual operating profit, was widely dismissed as financially unviable when it was proposed. The argument for concentrated founder control seems straightforward, and the decisions that built SpaceX into what it is today required someone willing to ignore consensus and absorb years of losses.
SpaceX files confidentially for IPO that will rewrite the record books
For context, Musk’s position is significantly more dominant than Zuckerberg’s at Meta. The comparison with Tesla is also worth noting. When Tesla did its IPO in 2010, it did not issue dual-class shares. Musk has only recently pushed for enhanced voting protection, proposing at least 25% control at Tesla in 2024 after selling shares to fund his Twitter acquisition left him with around 13%.
SpaceX has clearly learned from that experience and structured the IPO differently by planning to allocate up to 30% of shares to retail investors, roughly three times the typical norm for a large offering. The roadshow is expected to begin the week of June 8, with a Nasdaq listing rumored to be a $1.75 trillion valuation and a $75 billion raise.
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Tesla bolsters App with new safety, insurance, and storage features
The Tesla Smartphone App is one of the biggest and best features and advantages owners have. Everything from moving the vehicle with Summon, to getting Navigation sent to the car, to preconditioning the cabin can be done with the Tesla App.
Tesla is bolstering its smartphone App with a series of new features to streamline operations for owners. The new additions include fixes to safety, its in-house insurance offering, and storage management for Dashcam clips.
The Tesla Smartphone App is one of the biggest and best features and advantages owners have. Everything from moving the vehicle with Summon, to getting Navigation sent to the car, to preconditioning the cabin can be done with the Tesla App.
But in classic Tesla fashion, the company is aiming to improve the offerings of the app, and it is doing so with a handful of new features. They were first discovered by Tesla App Updates.
Tesla Insurance – Safety Score 3.0
This is truly part of the Spring 2026 Update, but Tesla has now given more transparency on how FSD has saved people money on their premiums.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Additionally, Tesla is now automatically awarding a Safety Score of 100 for every mile traveled on Full Self-Driving (Supervised).
Update Tracking
Updates traditionally appear on the App or on the Center Touchscreen in the car. There is nothing better than seeing that Green Arrow at the top of the screen, or opening your app and seeing that there is a Software Update available.
Now, there will be no need to manually check the app and initiate the download. Tesla is enabling a new feature that will automatically download updates for you.
Storage Management
Your USB drive can now be remotely formatted, and old Dashcam clips can be deleted straight from the phone. When you record a lot of things using the Dashcam feature, that storage fills up pretty quickly.
Now, manually deleting the Dashcam videos is easier than ever.
Trailer Light Test
This is perhaps the coolest and most crucial addition to the Tesla App, as those who tow and haul will now be able to trigger a diagnostic light sequence from the app while standing behind your trailer to ensure the brake lights work.
Verifying your trailer lights are connected properly and operating normally and as intended is normally a massive hassle.
Now, a new trigger will be available to initiate a diagnostic light sequence directly from your phone.
Tesla just unlocked sales to 50,000+ government agencies
How much of SpaceX will Elon Musk own after IPO will surprise you
