News
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.
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!
News
Honda gives up on all-EV future: ‘Not realistic’
Mibe believes the demand for its gas vehicles is certainly strong enough and has changed “beyond expectations.” As many drivers went for EVs a few years back, hybrids are becoming more popular for consumers as they offer the best of both worlds.
Honda has given up on a previous plan to completely changeover to EVs by 2040, a new report states. The company’s CEO, Toshihiro Mibe, said that the idea is “not realistic.”
Mibe believes the demand for its gas vehicles is certainly strong enough and has changed “beyond expectations.” As many drivers went for EVs a few years back, hybrids are becoming more popular for consumers as they offer the best of both worlds.
Mibe said (via Motor1):
“Because of the uncertainty in the business environment and also the customer demand, is changing beyond our expectation and, therefore, we have judged that it’ll be difficult to achieve. That ratio [100-percent electric in 2040] is not realistic as of now. We have withdrawn this target.”
Instead of going all-electric, Honda still wants to oblige by its hopes to be net carbon neutral by 2050. It will do this by focusing on those popular hybrid powertrains, planning to launch 15 of them by March 2030.
Honda will invest 4.4 trillion yen, or almost $28 billion, to build hybrid powertrains built around four and six-cylinder gas engines.
There are so many companies abandoning their all-electric ambitions or even slowing their roll on building them so quickly. Ford, General Motors, Mercedes, and Nissan have all retreated from aggressive EV targets by either cancelling, delaying, or pausing the development of electric models.
Hyundai’s 2030 targets rely on mixed offerings of electric, hybrid & hydrogen vehicles
Early-decade pledges from multiple brands proved overly ambitious as infrastructure lags, battery costs remain high in some markets, and many buyers prefer hybrids for their convenience and range. Toyota has long championed hybrids, while others have quietly extended internal-combustion timelines.
For Honda—historically known for reliable gasoline engines—this shift leverages its core strengths while buying time to refine electric technology. Whether the hybrid-heavy strategy will protect market share in an increasingly competitive landscape remains to be seen, but one thing is clear: the gas engine is far from dead at Honda, unfortunately.
Elon Musk
Delta Airlines rejects Starlink, and the reason will probably shock you
In a pointed exchange on X, Elon Musk defended SpaceX’s uncompromising approach to Starlink’s in-flight internet service, explaining why Delta Air Lines walked away from a deal.
SpaceX frontman Elon Musk explained on Wednesday why commercial airline Delta got cold feet over offering Starlink for stable internet on its flights — and the reason will probably shock you.
In a pointed exchange on X, Elon Musk defended SpaceX’s uncompromising approach to Starlink’s in-flight internet service, explaining why Delta Air Lines walked away from a deal.
Delta rejected Starlink because it insisted on routing all connectivity through its branded “Delta Sync” portal rather than allowing a simple Starlink experience.
Instead, the airline partnered with Amazon’s Project Kuiper—rebranded as Amazon Leo—for high-speed Wi-Fi on up to 500 aircraft, with rollout targeted for 2028. At the time of the announcement, Kuiper had roughly 300 satellites in orbit, while Starlink operated more than 10,400.
The use of the “Delta Sync” portal would not work for SpaceX, as Musk went on to say that:
“SpaceX requires that there be no annoying ‘portal’ to use Starlink. Starlink WiFi must just work effortlessly every time, as though you were at home. Delta wanted to make it painful, difficult and expensive for their customers. Hard to see how that is a winning strategy.”
Musk doubled down in a follow-up post:
“Yes, SpaceX deliberately accepted lower revenue deals with airlines in exchange for making Starlink super easy to use and available to all passengers.”
Not exactly. SpaceX requires that there be no annoying “portal” to use Starlink.
Starlink WiFi must just work effortlessly every time, as though you were at home.
Delta wanted to make it painful, difficult and expensive for their customers. Hard to see how that is a winning…
— Elon Musk (@elonmusk) May 13, 2026
SpaceX has structured its airline agreements to prioritize zero-friction access—no captive portals, no SkyMiles logins, no paywalls or ads blocking basic connectivity.
While this means forgoing higher-margin deals that would let carriers monetize the service more aggressively, it ensures Starlink feels like home broadband at 35,000 feet. Passengers on partner airlines such as United, Qatar Airways, and Air France have already praised the service for enabling seamless video calls, streaming, and work mid-flight without interruptions.
Delta’s choice reflects a different philosophy. By keeping Wi-Fi behind its Delta Sync ecosystem, the airline aims to drive loyalty program engagement and control the digital passenger journey. Yet, critics argue this short-term control comes at the expense of immediate competitiveness.
Airlines already installing Starlink are pulling ahead in customer satisfaction surveys, while Delta passengers face years of reliance on slower, legacy systems until Leo launches.
SpaceX’s decision to trade revenue for simplicity will pay off in the longer term, as Starlink is already positioning itself as the default high-speed option for carriers that value passenger satisfaction over incremental fees.
Musk’s focus on creating not only a great service but also a reasonable user experience highlights SpaceX’s prowess with Starlink as it continues to expand across new partners and regions.
News
Tesla gathers 93,000 FSD miles in a country where FSD isn’t approved – here’s how
Tesla has quietly logged an impressive 93,000 miles (roughly 150,000 km) of autonomous driving at its Giga Berlin factory—using Full Self-Driving (FSD) in a country where the technology remains unavailable to consumers on public roads.
Tesla has gathered 93,000 Full Self-Driving miles in a country where Full Self-Driving is not even approved. Here’s how.
Tesla has quietly logged an impressive 93,000 miles (roughly 150,000 km) of autonomous driving at its Giga Berlin factory—using Full Self-Driving (FSD) in a country where the technology remains unavailable to consumers on public roads.
The milestone, revealed alongside news that Giga Berlin has now built 750,000 Model Y vehicles, highlights how Tesla is putting its AI to work in one of the most controlled environments imaginable: it’s own factory floor.
Every Model Y that rolls off the final assembly line at Giga Berlin doesn’t need a human driver to reach the outbound lot. Instead, the freshly built vehicles engage FSD and navigate themselves across the factory campus.
The Tesla Model Ys rolling off the production line at Giga Berlin have now driven themselves on FSD a combined 93,000 miles from the end of the production line to the outbound lot. https://t.co/6RhL3W4q4p pic.twitter.com/DOKKHUcSSL
— Sawyer Merritt (@SawyerMerritt) May 11, 2026
The route—from the end of the production line through marked internal pathways to the staging area where cars await delivery or export—is entirely on private property. No public roads, no mixed traffic, and no regulatory hurdles for on-road autonomous operation.
It’s a closed-loop system: wide lanes, predictable layouts, minimal pedestrians, and consistent conditions that make it one of the simplest proving grounds for the software.
A short factory tour video shared by Tesla Manufacturing shows General Assembly team member Jan explaining the process. Gesturing beside a glossy black Model Y still wearing its protective wrap, he notes the cumulative distance the fleet has covered autonomously.
Tesla Giga Berlin seems to be using FSD Unsupervised to move Model Y units
The cars handle the short drive flawlessly, freeing up workers who would otherwise spend hours shuttling vehicles manually. For a high-volume plant like Giga Berlin, the time and labor savings add up quickly. Even small gains in cycle time per car can reclaim valuable space in the outbound lot and streamline logistics.
This internal deployment serves multiple purposes. First, it delivers zero-cost validation data. Each factory run exposes FSD to real-world physics—acceleration, steering precision, obstacle avoidance—in a repeatable setting far safer than public testing.
Second, it demonstrates the system’s readiness at scale. If FSD can reliably move thousands of brand-new cars without intervention inside a busy factory, it underscores the robustness of the vision-based, end-to-end neural network Tesla has been refining.
Critics often point to Europe’s cautious regulatory stance on unsupervised autonomy, yet Tesla has turned that limitation into an advantage. While owners in Germany still cannot activate consumer FSD on highways or city streets, the software is already proving its worth behind the factory gates.
The 93,000 miles represent not just internal efficiency gains but a subtle flex: the cars are manufactured ready to navigate autonomously, at least in the bounds of the factory. It’s a big feather in the cap of FSD, even if regulators have yet to green-light broader use.
As Giga Berlin continues ramping output, expect this autonomous logistics loop to grow. What began as a practical workaround for moving finished vehicles has quietly become one of the most compelling real-world showcases of FSD’s potential—right in the heart of regulated Europe. Tesla isn’t waiting for approval to perfect its autonomy; it’s already driving the future, one factory mile at a time.