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Tesla patents virtualization and machine learning software to improve FSD
Tesla has applied for a set of patents that are set to significantly improve virtualization, recognition, and Full Self Driving overall.
Tesla has worked tirelessly to improve full self-driving technology in the first two months of the year. Most recently, Tesla pushed its most significant improvement to employees, v11.3. Still, with new patented technology, the software is set to continue to improve dramatically this year. The two patents, focusing on virtualization and machine learning, appeared in the U.S. Patent Office database late last week.
The first patent, “Vision-Based Machine Learning Model for Autonomous Driving with Adjustable Virtual Camera,” is likely simply a reworking of a previous system but changed to fit Tesla’s new visual-only autonomous driving system. The second patent, “Vision-Based Machine Learning Model for Aggregation of Static Objects and Systems for Autonomous Driving,” focuses more on improving the virtualization seen on screen while in the vehicle.
The first patent’s abstract describes a system that looks similar to the one already available in Tesla vehicles but has been adapted to remove non-visual sensors. However, it does include an added “adjustable virtual camera,” potentially indicating that Tesla is working to give drivers more control of looking out of their car with the camera system or improved virtualization interaction.
“Systems and methods for a vision-based machine learning model for autonomous driving with adjustable virtual camera. An example method includes obtaining images from a multitude of image sensors positioned about a vehicle. Features associated with the images are determined, with the features being output based on a forward pass through a first portion of a machine learning model. The features are projected into a vector space associated with a virtual camera at a particular height. The projected features are aggregated with other projected features associated with prior images.”
The second, significantly more extensive patent is described in its abstract, focusing on the “aggregation of static objects” by the vehicle:
“Systems and methods for a vision-based machine learning model for aggregation of static objects and systems for autonomous driving. An example method includes obtaining images from image sensors positioned about a vehicle. Features associated with the images are determined, with the features being output based on a forward pass through a machine learning model. The features are projected into a vector space associated with a birds-eye view based on the machine learning model.”
If anything, the new patents from Tesla show just how dedicated it is to its visual-only system. Nowhere in either of the patents does the automaker address other sensor inputs, which seems to line up with recent discoveries showing upcoming vehicles without ultrasonic sensors.
Further, with Tesla’s increasing focus on making vehicles more AI capable, implementing improved machine learning also matches its design goals.
It remains unclear whether these improvements have been implemented in upcoming software versions or have already been placed in cars via recent software updates. Still, they nonetheless indicate that the company is making continuous progress in its pursuit.
As more and more automakers enter the autonomous driving competition, Tesla’s lead becomes ever more apparent. And while many have mocked the company for its dedication to AI over just vehicles, that investment is proving to be a fantastic one. Hopefully, it will result in an increasingly better Tesla driving experience in the coming years.
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Tesla’s Supercharger Diner in Los Angeles dominated the company’s global usage rankings after just one year, proving the concept is more than just a one-off novelty location that will fade away.
The performance could incite the company to build more locations, something that CEO Elon Musk has hinted at for some time.
Tesla’s Supercharger Diner delivered 21.2 GWh of energy in its first year of operation, the company’s head of Charging, Max de Zegher, revealed on X. Of the top 10 most utilized Supercharger locations in Tesla’s global infrastructure, the Diner in Los Angeles was the most used by drivers, and it wasn’t particularly close:
Tesla Diner opened exactly 1 year ago. Inspiring that futuristic places like this exist.
It’s our highest usage Supercharger in the world: 21.2 GWh delivered in a year, 1.6k sessions/day.
Top 10 Superchargers by energy delivered: https://t.co/9YvJ8lw696 pic.twitter.com/koB3AUJHws
— Max (@MdeZegher) July 21, 2026
On its launch day one year ago, nobody was too sure what the Tesla Diner would be about. It seemed like an interesting concept, and considering it had been in the works for years, it was a highly anticipated launch that many were looking forward to.
Based on its success, we could see additional Diners with Superchargers built throughout the United States, and potentially beyond. Musk has said on several occasions that the company would be willing to bring the Diner idea to more markets.
Tesla makes major change at Supercharger Diner amid epic demand
Of the markets that Musk has mentioned, both Palo Alto and Austin have come to be perceived as ideal selections. However, there are no concrete plans as of now to build new Supercharger Diners anywhere; the location on Santa Monica Boulevard will remain the exclusive spot to pick up Tesla-inspired eats, at least for the time being.
Tesla short sellers won big following the company’s massive fall on Wall Street after it reported subpar Earnings on Wednesday.
Tesla short sellers collected about $4.12 billion in single-day profits on Thursday, according to Bloomberg. Shares fell as much as 15 percent during Thursday’s session. It closed as one of the worst days for Tesla on Wall Street in the past three years.
Investors sold off the stock after Tesla said it would aggressively direct its spending toward AI and its Optimus robot project. The company had record revenues, which were driven by one of the strongest quarters in terms of vehicle deliveries in company history.
However, it missed EPS estimates by reporting just $0.33, a far cry from the $0.53 analysts expected.
S3 Partners reported that about 3 percent of Tesla’s outstanding stock is sold short. Managing Director at S3, Ihor Dusaniwsky, provided the short seller’s potential profit, as well as another figure: shorts have likely had paper gains of $8.92 billion this year, as Tesla shares are down 30 percent in 2026.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla has burned short sellers many times in the past, but the company’s latest Earnings Call was a chance for those skeptics to taste some payback. Although the company gave some very transparent information regarding future projects, the rollout of Robotaxi, Optimus, and Semi, many investors took their profits on Thursday.
Notable short sellers like Michael Burry have been transparent about their skepticism around Tesla shares. Burry just revealed three weeks ago that he had opened up a new short on the stock, stating he shorted Tesla shares at $416.22. “Happy it jumped back to this level,” he said in a blog post.
At the time of publication, Tesla shares were down about 3 percent and the stock was trading at $309.92.
Tesla’s long-standing saga regarding its door handles and a manual release has entered its latest chapter, and as a result, a big change is coming.
On Friday, the National Highway Traffic Safety Administration (NHTSA) denied Tesla’s petition that was seeking a defect investigation into roughly 180,000 Model 3 vehicles for an issue involving the emergency mechanical door release.
🚨 The NHTSA denied a petition from Tesla that would have thrown out concerns regarding its door handles.
NHTSA said Tesla’s petition did not present evidence of a safety-related defect warranting an investigation. The agency said a rulemaking process would be a better strategy. pic.twitter.com/j6PzUBM1mT
— TESLARATI (@Teslarati) July 24, 2026
NHTSA said that Tesla’s petition did not present evidence of a safety-related defect in the door handles or their emergency releases. Instead, the agency determined that it would rather solve the issue of the lack of labeling or location of emergency mechanical door releases and the federal safety rules that govern them.
Essentially, the NHTSA wants to create and enforce rules that would require automakers to make emergency door latch releases more clearly labeled in a car. Despite a Tesla having manual door releases on all four passenger doors, many people do not know they exist or how they work.
Tesla addresses door handle complaints with simple engineering fix
In recent times, Tesla has faced some criticism involving its door handles, specifically because some occupants have reported that they are unable to exit their vehicles after losing power. The door handles on a Tesla are electronically operated, but in the event that the 12V battery dies, there is a manual release that can be used.
The NHTSA only identified a single complaint involving the mechanical door releases: a 2022 Model 3 owner said the release was concealed and unlabeled after the vehicle lost power after a front-end collision. It has also already started to create a separate rulemaking process to make emergency door-egress systems more obvious.
It should be noted that all Teslas have mechanical emergency door releases, but they are placed in various locations as the vehicles have aged and been redesigned from year to year. Refer to the safety manual for your vehicle if you have any confusion about where the emergency releases are and how they work.
Tesla’s Supercharger Diner probably just secured more locations
Tesla short sellers win big after shares fall after earnings
