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Tesla patents virtualization and machine learning software to improve FSD

Credit: Drive in EV/Twitter

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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.”

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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.

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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.

What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!

Will is an auto enthusiast, a gear head, and an EV enthusiast above all. From racing, to industry data, to the most advanced EV tech on earth, he now covers it at Teslarati.

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Tesla Europe rolls out FSD ride-alongs in the Netherlands’ holiday campaign

The festive event series comes amid Tesla’s ongoing push for regulatory approval of FSD across Europe.

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Credit: Tesla

Tesla Europe has announced that its “Future Holidays” campaign will feature Full Self-Driving (Supervised) ride-along experiences in the Netherlands. 

The festive event series comes amid Tesla’s ongoing push for regulatory approval of FSD across Europe.

The Holiday program was announced by Tesla Europe & Middle East in a post on X. “Come get in the spirit with us. Featuring Caraoke, FSD Supervised ride-along experiences, holiday light shows with our S3XY lineup & more,” the company wrote in its post on X.

Per the program’s official website, fun activities will include Caraoke sessions and light shows with the S3XY vehicle lineup. It appears that Optimus will also be making an appearance at the events. Tesla even noted that the humanoid robot will be in “full party spirit,” so things might indeed be quite fun. 

“This season, we’re introducing you to the fun of the future. Register for our holiday events to meet our robots, see if you can spot the Bot to win prizes, and check out our selection of exclusive merchandise and limited-edition gifts. Discover Tesla activities near you and discover what makes the future so festive,” Tesla wrote on its official website. 

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This announcement aligns with Tesla’s accelerating FSD efforts in Europe, where supervised ride-alongs could help demonstrate the tech to regulators and customers. The Netherlands, with its urban traffic and progressive EV policies, could serve as an ideal and valuable testing ground for FSD.

Tesla is currently hard at work pushing for the rollout of FSD to several European countries. Tesla has received approval to operate 19 FSD test vehicles on Spain’s roads, though this number could increase as the program develops. As per the Dirección General de Tráfico (DGT), Tesla would be able to operate its FSD fleet on any national route across Spain. Recent job openings also hint at Tesla starting FSD tests in Austria. Apart from this, the company is also holding FSD demonstrations in Germany, France, and Italy.

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Tesla sees sharp November rebound in China as Model Y demand surges

New data from the China Passenger Car Association (CPCA) shows a 9.95% year-on-year increase and a 40.98% jump month-over-month.

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Credit: Tesla China

Tesla’s sales momentum in China strengthened in November, with wholesale volumes rising to 86,700 units, reversing a slowdown seen in October. 

New data from the China Passenger Car Association (CPCA) shows a 9.95% year-on-year increase and a 40.98% jump month-over-month. This was partly driven by tightened delivery windows, targeted marketing, and buyers moving to secure vehicles before changes to national purchase tax incentives take effect.

Tesla’s November rebound coincided with a noticeable spike in Model Y interest across China. Delivery wait times extended multiple times over the month, jumping from an initial 2–5 weeks to estimated handovers in January and February 2026 for most five-seat variants. Only the six-seat Model Y L kept its 4–8 week estimated delivery timeframe.

The company amplified these delivery updates across its Chinese social media channels, urging buyers to lock in orders early to secure 2025 delivery slots and preserve eligibility for current purchase tax incentives, as noted in a CNEV Post report. Tesla also highlighted that new inventory-built Model Y units were available for customers seeking guaranteed handovers before December 31.

This combination of urgency marketing and genuine supply-demand pressure seemed to have helped boost November’s volumes, stabilizing what had been a year marked by several months of year-over-year declines.

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For the January–November period, Tesla China recorded 754,561 wholesale units, an 8.30% decline compared to the same period last year. The company’s Shanghai Gigafactory continues to operate as both a domestic production base and a major global export hub, building the Model 3 and Model Y for markets across Asia, Europe, and the Middle East, among other territories.

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Investor's Corner

Tesla bear gets blunt with beliefs over company valuation

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Credit: Tesla

Tesla bear Michael Burry got blunt with his beliefs over the company’s valuation, which he called “ridiculously overvalued” in a newsletter to subscribers this past weekend.

“Tesla’s market capitalization is ridiculously overvalued today and has been for a good long time,” Burry, who was the inspiration for the movie The Big Shortand was portrayed by Christian Bale.

Burry went on to say, “As an aside, the Elon cult was all-in on electric cars until competition showed up, then all-in on autonomous driving until competition showed up, and now is all-in on robots — until competition shows up.”

Tesla bear Michael Burry ditches bet against $TSLA, says ‘media inflated’ the situation

For a long time, Burry has been skeptical of Tesla, its stock, and its CEO, Elon Musk, even placing a $530 million bet against shares several years ago. Eventually, Burry’s short position extended to other supporters of the company, including ARK Invest.

Tesla has long drawn skepticism from investors and more traditional analysts, who believe its valuation is overblown. However, the company is not traded as a traditional stock, something that other Wall Street firms have recognized.

While many believe the company has some serious pull as an automaker, an identity that helped it reach the valuation it has, Tesla has more than transformed into a robotics, AI, and self-driving play, pulling itself into the realm of some of the most recognizable stocks in tech.

Burry’s Scion Asset Management has put its money where its mouth is against Tesla stock on several occasions, but the firm has not yielded positive results, as shares have increased in value since 2020 by over 115 percent. The firm closed in May.

In 2020, it launched its short position, but by October 2021, it had ditched that position.

Tesla has had a tumultuous year on Wall Street, dipping significantly to around the $220 mark at one point. However, it rebounded significantly in September, climbing back up to the $400 region, as it currently trades at around $430.

It closed at $430.14 on Monday.

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