Everything we know about FSD Beta v11 and what may be included

By Gabe Rodriguez Morrison
Tesla may release a single stack solution this summer
Tesla may release a single stack solution this summer
@FrenchieEAP/Twitter

FSD Beta 10.12 introduced many improvements, including an upgraded decision-making framework for unprotected left turns, improved creeping, and enhanced geometric accuracy.

Now, users are waiting on the next update (version 10.13) that's expected to be even more substantial with improvements to roundabouts and navigating without map data.

Tesla is simultaneously working on the next release of FSD, v11.

FSD Beta v11 will be the next major update that is expected to contain significant improvements.

Single Stack for Improved Highway Driving

FSD Beta is currently using Tesla's latest technology improvements for city driving. Highway driving still relies on the current production version of 'Navigate on Autopilot.' 

Elon has previously said that Tesla will eventually merge highway and city driving into a single stack.

A technology 'stack' refers to the technologies used to build a system.

A single-stack system uses the same technologies for multiple applications, instead of having separate technology stacks for each application.

A single-stack version of FSD would allow Tesla to apply everything it has learned in city driving to its Navigate on Autopilot highway feature.

When Tesla trains and adapts its FSD Beta neural nets to highway driving, we may see drastically smoother merging and cornering on the highway. While the addition of a single stack has been talked about as far back as FSD Beta 10.1, it sounds like we may finally be able to experience it in FSD Beta v11.

Reverse Creep

An additional feature we could see in version 11 is the ability for the car to move backward. For example, if the car is stopped at an intersection and doesn't have great visibility, it'll now creep forward for a better view, just like a human driver would.

However, with v11, the car could also creep backward if it senses danger.

Release Date

When asked about FSD Beta v11, Tesla CEO Elon Musk revealed that he's currently driving an alpha version of FSD Beta 11 on the highway.

Musk admits that the software is not ready, estimating that Tesla FSD Beta version 11 could be released by the summer of 2022. Currently, Beta testers are waiting for the release of FSD Beta 10.13.

Tesla’s Robotaxi Easter Egg: Surprise Tip

By Karan Singh
BLKMDL3

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.

Even Elon is in on the joke. It is a small detail, but it’s all about those small details with Tesla.

First Recorded Tesla Robotaxi Intervention: UPS Truck Encounter [VIDEO]

By Karan Singh
@BLKMDL3 on X

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.

A Valuable Data Point

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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