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Tesla’s FSD Beta is navigating through roundabouts with great confidence
Ever since Tesla rolled out its Full Self-Driving Beta last week, the lucky group of individuals who have been sharing the new system’s capabilities are proving that Autopilot has improved significantly. Previously challenging tasks for the 2.5-dimension Autopilot versions are no longer a tough task thanks to a 4D comprehension of surroundings, which are a preview of what is to come with Tesla’s upcoming “Dojo” Supercomputer.
Tesla owners who have had FSD for some time know that the capabilities of the self-driving suite were somewhat limited. Everyone who purchased FSD knew it was a work in progress, and by driving with the capability activated, it was becoming more sophisticated with the help of Tesla’s Neural Network. However, the Tesla Artificial Intelligence team knew what had to be done: the amount of information that could be processed needed to be greater, and the vehicle’s comprehension of its surroundings needed to be more complex. Therefore, Tesla is developing Dojo.
Dojo is Tesla’s Neural Network training program that aims to begin breaking down data in 4D instead of “~2.5D,” which is what the automaker’s Autopilot was previously using.
Tesla’s Elon Musk details Dojo, Autopilot’s 4D training program
Musk detailed the need for a more complex autonomy system during the Q2 2020 Earnings Call:
-->“Well, the actual major milestone that’s happening right now is really a transition of the autonomy system or the cars, like AI, if you will, from thinking about things in — like two-and-a-half feet. It’s like think — things like isolated pictures and doing image recognition on pictures that are harshly correlated in time but not very well and transitioning to kind of a 4D, where it’s like — which is video essentially.”
The issue with previous FSD and Autopilot builds was that not enough information was being transmitted through pictures. There needed to be timestamps and more accuracy through an increasingly fluid comprehension of the surroundings. The key was to transition from images, or 2D, as Musk called it, to video, or 4D.
“So what we’ve been doing, thus far, has really just been like 2D — mostly 2D, and like I said, well correlated in time. So just hard to convey just how much better a fully 4D system would work — does work. It’s capable of things that if you just look — looking at things as individual pictures as opposed to video — basically, like you could go from like individual pictures to surround video, so it’s fundamental. So the car will seem to have just like a giant improvement.”
Roundabout Navigation
One way to show how the new system is operating more efficiently is a Tesla’s navigation of a roundabout. Musk stated that it would be able to handle roundabouts “not perfectly at first,” but it would be able to navigate through them.
Not perfectly at first, but yes. Will take maybe a year or so to get really good at roundabouts worldwide. The world has a zillion weird corner cases.
— Elon Musk (@elonmusk) August 14, 2020
Previous versions of Autopilot have had difficulties navigating through roundabouts, and very rarely did they manage to get through one without human intervention. An example can be seen in a July 2019 video from YouTuber Dirty Tesla, who showed his Model 3 attempting to go through the tricky stretch of roadway. At the 3:25 mark of the video, you can see the Model 3 doesn’t do a great job of making it through, and the driver is forced to intervene with the vehicle.
Tesla’s FSD Beta is proving that an increase in comprehension is just what Tesla Autopilot needed to function more accurately. A video from fellow Tesla Model 3 owner James Locke, who received the FSD Beta, shows the navigation through a roundabout with relative ease. Even Locke was impressed and stated that the maneuver required no intervention from him, and Autopilot took care of the entire process independently.
-->Dojo’s coming release in conjunction with the new FSD Beta could prove to be the answer to all of the issues that Tesla had previously. With a new, more complex system that takes in more information on terrain, surroundings, and obstacles, Autopilot is more accurate than ever before. The increase in capability is being displayed daily as new videos of the FSD Beta are being rolled out regularly.
Elon Musk
SpaceX’s Starship FL launch site will witness scenes once reserved for sci-fi films
A Starship that launches from the Florida site could touch down on the same site years later.
The Department of the Air Force (DAF) has released its Final Environmental Impact Statement for SpaceX’s efforts to launch and land Starship and its Super Heavy booster at Cape Canaveral Space Force Station’s SLC-37.
According to the Impact Statement, Starship could launch up to 76 times per year on the site, with Super Heavy boosters returning within minutes of liftoff and Starship upper stages landing back on the same pad in a timeframe that was once only possible in sci-fi movies.
Booster in Minutes, Ship in (possibly) years
The EIS explicitly referenced a never-before-seen operational concept: Super Heavy boosters will launch, reach orbit, and be caught by the tower chopsticks roughly seven minutes after liftoff. Meanwhile, the Starship upper stage will complete its mission, whether a short orbital test, lunar landing, or a multi-year Mars cargo run, and return to the exact same SLC-37 pad upon mission completion.
“The Super Heavy booster landings would occur within a few minutes of launch, while the Starship landings would occur upon completion of the Starship missions, which could last hours or years,” the EIS read.
This means a Starship that departs the Florida site in, say, 2027, could touch down on the same site in 2030 or later, right beside a brand-new stack preparing for its own journey, as noted in a Talk Of Titusville report. The 214-page document treats these multi-year round trips as standard procedure, effectively turning the location into one of the world’s first true interplanetary spaceports.
-->Noise and emissions flagged but deemed manageable
While the project received a clean bill of health overall, the EIS identified two areas requiring ongoing mitigation. Sonic booms from Super Heavy booster and Starship returns will cause significant community annoyance” particularly during nighttime operations, though structural damage is not expected. Nitrogen oxide emissions during launches will also exceed federal de minimis thresholds, prompting an adaptive management plan with real-time monitoring.
Other impacts, such as traffic, wildlife (including southeastern beach mouse and Florida scrub-jay), wetlands, and historic sites, were deemed manageable under existing permits and mitigation strategies. The Air Force is expected to issue its Record of Decision within weeks, followed by FAA concurrence, setting the stage for rapid redevelopment of the former site into a dual-tower Starship complex.
SpaceX Starship Environmental Impact Statement by Simon Alvarez
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Tesla Full Self-Driving (FSD) testing gains major ground in Spain
Based on information posted by the Dirección General de Tráfico (DGT), it appears that Tesla is already busy testing FSD in the country.
Tesla’s Full Self-Driving (Supervised) program is accelerating across Europe, with Spain emerging as a key testing hub under the country’s new ES-AV framework program.
Based on information posted by the Dirección General de Tráfico (DGT), it appears that Tesla is already busy testing FSD in the country.
Spain’s ES-AV framework
Spain’s DGT launched the ES-AV Program in July 2025 to standardize testing for automated vehicles from prototypes to pre-homologation stages. The DGT described the purpose of the program on its official website.
“The program is designed to complement and enhance oversight, regulation, research, and transparency efforts, as well as to support innovation and advancements in automotive technology and industry. This framework also aims to capitalize on the opportunity to position Spain as a pioneer and leader in automated vehicle technology, seeking to provide solutions that help overcome or alleviate certain shortcomings or negative externalities of the current transportation system,” the DGT wrote.
The program identifies three testing phases based on technological maturity and the scope of a company’s operations. Each phase has a set of minimum eligibility requirements, and applicants must indicate which phase they wish to participate in, at least based on their specific technological development.
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Tesla FSD tests
As noted by Tesla watcher Kees Roelandschap on X, the DGT’s new framework effectively gives the green flight for nationwide FSD testing. So far, Tesla Spain has a total of 19 vehicles authorized to test FSD on the country’s roads, though it would not be surprising if this fleet grows in the coming months.
The start date for the program is listed at November 27, 2025 to November 26, 2027. The DGT also noted that unlimited FSD tests could be done across Spain on any national route. And since Tesla is already in Phase 3 of the ES-AV Program, onboard safety operators are optional. Remote monitoring would also be allowed.
Tesla’s FSD tests in Spain could help the company gain a lot of real-world data on the country’s roads. Considering the scope of tests that are allowed for the electric vehicle maker, it seems like Spain would be one of the European countries that would be friendly to FSD’s operations. So far, Tesla’s FSD push in Europe is notable, with the company holding FSD demonstrations in Germany, France, and Italy. Tesla is also pushing for national approval in the Netherlands in early 2026.
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Tesla FSD V14.2.1 is earning rave reviews from users in diverse conditions
Tesla’s Full Self-Driving (Supervised) software continues its rapid evolution, with the latest V14.2.1 update drawing widespread praise.
Tesla’s Full Self-Driving (Supervised) software continues its rapid evolution, with the latest V14.2.1 update drawing widespread praise for its smoother performance and smarter decision-making.
Videos and firsthand accounts from Tesla owners highlight V14.2.1 as an update that improves navigation responsiveness, sign recognition, and overall fluidity, among other things. Some drivers have even described it as “more alive than ever,” hinting at the system eventually feeling “sentient,” as Elon Musk has predicted.
FSD V14.2.1 first impressions
Early adopters are buzzing about how V14.2.1 feels less intrusive while staying vigilant. In a post shared on X, Tesla owner @LactoseLunatic described the update as a “huge leap forward,” adding that the system remains “incredibly assertive but still safe.”
Another Tesla driver, Devin Olsenn, who logged ~600 km on V14.2.1, reported no safety disengagements, with the car feeling “more alive than ever.” The Tesla owner noted that his wife now defaults to using FSD V14, as the system is already very smooth and refined.
Adverse weather and regulatory zones are testing grounds where V14.2.1 shines, at least according to testers in snow areas. Tesla watcher Sawyer Merritt shared a video of his first snowy drive on unplowed rural roads in New Hampshire, where FSD did great and erred on the side of caution. As per Merritt, FSD V14.2.1 was “extra cautious” but it performed well overall.
-->Sign recognition and freeway prowess
Sign recognition also seemed to show improvements with FSD V14.2.1. Longtime FSD tester Chuck Cook highlighted a clip from his upcoming first-impressions video, showcasing improved school zone behavior. “I think it read the signs better,” he observed, though in standard mode, it didn’t fully drop to 15 mph within the short timeframe. This nuance points to V14.2.1’s growing awareness of temporal rules, a step toward fewer false positives in dynamic environments.
FSD V14.2.1 also seems to excel in high-stress highway scenarios. Fellow FSD tester @BLKMDL3 posted a video of FSD V14.2.1 managing a multi-lane freeway closure due to a police chase-related accident. “Perfectly handles all lanes of the freeway merging into one,” the Tesla owner noted in his post on X.
FSD V14.2.1 was released on Thanksgiving, much to the pleasant surprise of Tesla owners. The update’s release notes are almost identical to the system’s previous iteration, save for one line item read, “Camera visibility can lead to increased attention monitoring sensitivity.”
SpaceX’s Starship FL launch site will witness scenes once reserved for sci-fi films
Tesla Full Self-Driving (FSD) testing gains major ground in Spain
