Early this morning Tesla released v10 of their FSD Beta as expected. The beta is version 2021.24.15. This release of the Beta is said to include a completely retrained Neural Net, although the release notes for the update are the same as version 9.2 of the FSD Beta. Elon seems very pleased with this specific version, calling it 'next-level' on Twitter.
Lucky participants were able to download the beta this morning and try it out. So far early impressions are that v10 is a noticeable improvement over the previous version. It is now able to navigate areas it just wasn't able to before. Tesla has been making impressive improvements with each FSD Beta release. Lets not forget this beta comes just shy of four weeks after the previous beta.
In this update, the car is more confident in taking left turns at intersections that don't have traffic signals. It accelerates more briskly and generally drives more like a human driver.
Version 10 was able to navigate the famous Lombard Street in San Francisco for the first time without any human intervention. Check out how it performed below:
FSD on Lombard Street
UI Improvements
Elon mentioned that there would also be some UI improvements in this beta. We're now seeing clearer lane markings. When the car approaches an intersection, the visualization will now zoom out slightly to give you a better view of the entire intersection and surrounding cars.
For Model S and X owners, the visualizations on the instrument cluster now also take up the entire screen. Any additional information you add to the IC, like an analog clock, will now be placed on top of the visualizations.
Future Improvements
Elon said this morning that this beta uses all the new vision processing and neural net improvement only for city streets. Highway driving still relies on the current production Navigate on Autopilot codebase. Elon went on to say that Tesla will merge highway and city driving into a single stack that should be included in version 10.1 of the FSD Beta. Over time we should see big improvements in the way Autopilot navigates highways as well.
Version 10 doesn't drive entirely like a human being yet. There was a time when it didn't take the right-of-way when it should have done so. There was a time when it didn't move far enough to the left to pass a pedestrian adult and child in the road with sufficient distance. And it didn't automatically reroute itself when it came to a place where the road was closed.
So v10 is not the ultimate solution for full self driving, but it's getting there. And maybe it's good enough for Elon to give us the "BUTTON" in a few weeks.
Highway stack is still production version, as it is more polished than FSD for now. Single stack for all should release in 10.1.
This version of the FSD Beta saw an increase in the number of testers. We don't know how many, but there were additional Tesla owners invited to test out this version of the FSD Beta. This must mean that Tesla is feeling more confident and wants to slowly start increasing the numbers of testers.
Tesla has always embraced whimsy in its software, packing it with playful Easter eggs and surprises. From transforming the on-screen car into James Bond’s submarine to the ever-entertaining Emissions Testing Mode and the fan-favorite Rainbow Road, these hidden features have become a signature part of Tesla’s software.
Of course, launching a new product like Robotaxi wouldn’t be complete without a fun little easter egg of its own. The end-of-ride screen in the Robotaxi app presents a familiar option “Leave a tip.”
For anyone pleased with their Robotaxi ride, they may be tempted to leave a tip. However, tapping the button presents our favorite hedgehog instead of a payment screen.
The app displays a message, alongside the familiar Tesla hedgehog, that simply states “Just kidding.”
While it's a fun prank, it’s also a nod to what Tesla really wants to do. They want to reinforce the economic advantage of an autonomous Robotaxi Network. Without a driver, there is simply no need to tip. The gesture is playful, but it’s a reminder of what Tesla’s real aim is here.
Over the last few days, we’ve seen some exceptionally smooth performance from the latest version of FSD on Tesla’s Robotaxi Network pilot. However, the entire purpose of an early access program with Safety Monitors is to identify and learn from edge cases.
This week, the public saw the first recorded instance of a Safety Monitor intervention, providing a first look at how they’re expected to stop the vehicle.
The event involved a complex, low-speed interaction with a reversing UPS truck. The Safety Monitor intervened to stop the Robotaxi immediately, potentially avoiding a collision with the delivery truck. Let’s break down this textbook case of real-world unpredictability.
The Intervention [VIDEO]
In a video from a ride in Austin, a Robotaxi is preparing to pull over to its destination on the right side of the road, with its turn signal active. Ahead, a UPS truck comes to a stop. As the Model Y begins turning into the spot, the UPS truck, seemingly without signaling, starts to reverse. At this point, the Safety Monitor stepped in and pressed the In Lane Stop button on the main display, bringing the Robotaxi to an immediate halt.
This is precisely why Tesla has employed Safety Monitors in this initial pilot. They are there to proactively manage ambiguous situations where the intentions of other drivers are unclear. The system worked as designed, but it raises a key question: What would FSD have done on its own? It’s not clear whether the vehicle saw the truck backing up, or what it would do when it finally detected it. It’s also unclear whether the UPS driver recognized that the Robotaxi was pulling into the same spot at the exact same time.
It’s possible this wouldn’t result in a collision at all, but the Safety Monitor did the right thing by stepping in to prevent a potential collision, even one at low speed. Any collision just a few days after the Robotaxi Network launch could result in complications for Tesla.
Who Would Be At Fault?
This scenario is a classic edge case. It involves unclear right-of-way and unpredictable human behavior. Even for human drivers, the right-of-way here is complicated. While a reversing vehicle often bears responsibility, a forward-moving vehicle must also take precautions to avoid a collision. This legal and practical gray area is what makes these scenarios so challenging for AI to navigate.
Would the Robotaxi have continued, assuming the reversing truck would stop?
Or would it have identified the potential conflict and used its own ability to stop and reverse?
Without the intervention, it’s impossible to say for sure. However, crucial context comes from a different clip involving, surprisingly, another UPS delivery truck.
A Tale of Two Trucks
In a separate video posted on X, another Robotaxi encounters a remarkably similar situation. In that instance, as another UPS delivery truck obstructs the path forward, the Robotaxi comes to a stop to let its two passengers out just a few feet from their destination.
Once they depart, the Robotaxi successfully reverses and performs a three-point turn to extricate itself from a tight spot. That was all done without human intervention, by correctly identifying the situation.
This second clip is vital because it proves that the Robotaxi's FSD build has the underlying logic and capability to handle these scenarios. It can, and does, use reverse to safely navigate complex situations.
Far from being a failure, this first intervention should be seen as a success for Tesla’s safety methodology. It shows the safety system is working, allowing monitors to mitigate ambiguous events proactively.
More importantly, this incident provides Tesla’s FSD team with an invaluable real-world data point.
By comparing the intervened ride with the successful autonomous one, Tesla’s engineers can fine-tune FSD’s decision-making, which will likely have a positive impact on its edge case handling in the near future.
This is the purpose of a public pilot — to find the final edge cases and build a more robust system, one unpredictable reversing truck at a time.
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