According to Elon Tesla may release FSD Beta 10.12 with several key improvements this week.
The last major beta, version 10.11 started
going out in early March, but most testers didn't receive it until v10.11.2, which
was released in April.
We hope this beta will go out a little quicker than the previous one, but it's certainly shaping up to be an
exciting release.
Updated Vehicle Models
FSD Beta 10.12 will contain new, more
detailed vehicle models, at least for its sedan model, but it may include updated models for all the
various vehicle types.
The current sedan visualization is fairly abstract. It doesn't have wheels or many details. The visualization is
modeled after Tesla's key fob for the Model S.
FSD Beta can recognize far more things than it can display on the screen. However, the visualizations are an
important way of how the vehicle communicates with us on what it sees and understands. So with Beta 10.12 Tesla
is including a more detailed sedan model that has wheels and doors.
Although FSD Beta has been able to detect open doors for a while now, the model will now visually show us if any
nearby cars have open doors by highlighting the door in yellow.
Improvements to Unprotected Left Turns
Unprotected left turns have been a key focus over several betas and we're apparently going to see further
improvements in 10.12.
Crossing over multiple lanes when turning left can be intimidating, even for some human drivers. Tesla has
been making continuous improvements to make unprotected left turns more efficient and human-like.
For example, the car will now sometimes start inching slowly, anticipating the last vehicle to pass so that it
can complete the turn promptly and be out of the way of any further traffic.
According to Elon, FSD Beta 10.12 will specifically improve "tricky" unprotected left turns.
Chuck Cook on YouTube does a fantastic job covering some of these left turns. Below you can see how the latest
FSD Beta does taking a left turn onto a primary street with a divider.
Heavy Traffic
In Beta 10.12, we're also expecting to see improvements in heavy traffic. I haven't seen too many issues with the
beta in traffic, except that sometimes the car has a tough time differentiating between a parked vehicle and a
vehicle that's just waiting.
I've encountered situations where the beta tries to go around a car that is stopped due to a traffic light or
traffic and the beta waits for just a few seconds before trying to go around the vehicle.
Hopefully, this is one of the areas that Elon is talking about when he refers to improvements in heavy traffic.
Single Stack
Elon also mentions that Tesla is making good progress on single stack. Single stack refers to a single set of
technologies that will be used for both highway and street driving.
FSD beta is great, but once you get on the highway, you're right back in the old production version.
FSD Beta is far from perfect, but driving on city streets is a completed task and the beta actually does quite
well trying to figure things out.
When we start looking at Autopilot on the highway and some of the issues it still has, like bouncing between lane
markings or a sudden attempt to center itself in a lane that has become wider, those issues are practically
non-existent in city driving.
So while single stack won't be included in beta 10.12, it's good to know that Tesla continues to make progress.
When Tesla is finally able to complete their single stack software we should see huge improvements in highway
Autopilot use.
Release Date
The last FSD beta started going out more than a month ago, so a lot of users are definitely itching for an
update. Elon said earlier this week that beta 10.12 is "probably" going to wide release this week.
The beta could be in QA testing now, but it unlikely that it has been passed on to employees yet as release notes
usually get leaked when that happens.
Hopefully, some of us will be greeted by that sweet notification this weekend, prompting us to install the latest
beta.
Update: Elon tweeted today, Friday, May 6th that there have been "many upgrades to core code, so taking longer to debug issues. Probably Wed/Thurs release." So it looks like we're still a week out from a public release of beta 10.12.
Based On New Build
Lately, FSD betas have been a little behind the times. The latest beta is 2022.4.5.21,
which is roughly two major versions behind. That means that FSD Beta testers still don't have seat heaters in
the launcher, Dog Mode in the Tesla app, browser improvements, vehicle preconditioning improvements and more.
Most non-FSD Teslas are now on a 2022.12 release and 2022.16 is expected shortly.
While it's unlikely that the beta 10.12 will be based on a brand new upcoming build like 2022.16, it's almost
certainly going to be based on 2022.12, which
will please a lot of testers.
It appears that Tesla is as cautious as ever with beta releases. Lately, it has taken several revisions of a beta
before Tesla releases it to everyone.
Tesla says they're now at 100k beta testers in the US and Canada, so they're right to be cautious, but it's not
easy waiting.
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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.