After a month-long delay, Tesla sent FSD v12.4.2 to employees yesterday with update 2024.15.10. After just a few hours of the update going out to employees, Tesla started sending it to OG testers as well, who were already on FSD v12.4.1.
Issues Behind Delay
On X, Elon Musk broke down some of the details behind the delays. He mentioned that part of the issues behind the V12.4.2 delays were based on training. Tesla was seeing fewer interventions with FSD v12.4, but the release suffered from driving smoothness, which ironically was supposed to be one of the key features of this release.
Musk explained that part of the issue was due to too much focus on interventions, and not enough on normal driving. He compared it to training a doctor on emergency room patients, versus training on regular preventative care.
Vision-Based Attention Monitoring Changes
With FSD update 12.4.2, Tesla changed some of the language used for its Vision-Based Attention Monitoring in the release notes. Here’s a breakdown of some of the key points in the language. The changes to the release notes are below. Phrases or words that were removed are crossed out, while those added are in bold.
“When Full Self-Driving (Supervised) is enabled, the driver monitoring system now primarily relies on the cabin camera to determine driver attentiveness. This enhancement is available on vehicles equipped with a cabin camera and only when the cabin camera has clear and continuous visibility of the driver's eyes Cabin camera must have clear visibility (e.g., the camera is not occluded, eyes, arms are visible, there is sufficient cabin illumination, and the driver is looking forward at the road ahead and not wearing sunglasses, a hat with a low brimwithout sunglasses, or other objects covering thetheir eyes). Outside of theseIn other circumstances, the driver monitoring system will continue toprimarily rely on a combination of torque-based (steering wheel) and vision-based monitoring to detect driver attentiveness. When the cabin camera is actively monitoring driver attentiveness, a green dot appears next to the steering wheel icon on the touchscreen.
If the cabin camera detects inattentiveness the driver to be inattentive, a warning will appear. The warning can be dismissed by the driver immediately reverting their attention back to the road ahead. Warnings will escalate depending on the nature and frequency of detected inattentiveness, with continuous inattention leading to a Strikeout.
Cabin camera images do not leave the vehicle itself, which means the system cannot save or transmit information unless you enable data sharing.”
Arms Need to be Visible and Other Changes
There are various interesting changes here. While some of the changes are just improved wording to make the feature clearer, there are others that are worth highlighting which could point at changes to Tesla’s vision-based monitoring.
The first is the addition of “arms are visible.” Apparently, Tesla now wants to be able to see your arms to better detect attentiveness. Tesla may want to see that your arms are on the steering wheel, or they maybe they want to make sure your arms are moving so that someone isn’t able to post a static photo in front of the cabin camera to circumvent the attention monitoring. The reason isn’t clear, but looks like having your arms visible is now a requirement.
There are other small changes like the removal of a “hat with a low brim,” which was replaced by more generic wording that says the driver’s eyes must be visible.
However, near the end, Tesla removed the portion that said the driver monitoring system will rely on a combination of torque-based (steering wheel) and vision-based monitoring. This was changed to simply say that Tesla will rely primarily on torque-based (steering wheel) monitoring when vision-based monitoring is unavailable. It’s not clear whether this is just semantics and the wording now better describes how the vision-monitoring feature works, or if Tesla made changes so that the vehicle is simply either doing vision monitoring or steering wheel torque detection, and it doesn’t try to combine the two sources to detect whether the driver is paying attention.
Even more interestingly, the last line that says “cabin camera images do not leave the vehicle itself, which means the system cannot save or transmit information unless you enable data sharing,” has been removed. This could point to Tesla saving images of the cabin camera to improve its AI training model.
Either way, we’re glad to finally see FSD v12.4.2 going out to employees and early-access owners. The release is expected to have far fewer interventions and improve vehicle smoothness during braking and acceleration. If there are no major issues found, this update could go wide to all customers with FSD and on update 2024.14 or lower in the coming weeks.
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Tesla signaled its intention to launch its first Robotaxi network in Austin, Texas, with company-owned and operated vehicles, back in January. This network will be Tesla’s first foray into truly autonomous vehicles - ones that aren’t being directly supervised by a driver. Later in February, Tesla’s executive team confirmed that the plans were on track for the launch of the Austin network both on X and during several interviews that they participated in.
At the end of February, we also found out that Tesla has applied for a Supervised Robotaxi license in California, where the network will also launch, but with safety drivers in place.
This is an ambitious plan, but FSD has really come a long way in the past year. FSD V12 was a massive step forward from V11, and V13 has made the experience smoother and safer than ever before. FSD V14 is expected to be another big step up with auto-regressive transformers and audio input.
Still on Track
Now, Elon has tripled down on the fact that Tesla will be launching their first autonomous robotaxi network in Austin - just two months away at this point. It seems that Tesla is fully set to launch their first fully unsupervised self-driving vehicles that will carry paying passengers in June.
Additional Cities
The best part is that Elon also confirmed that they’re targeting robotaxi networks launching in many cities within the United States by the end of this year. However, remember that this will be a Tesla-run network at first - Tesla owners won’t be able to add their vehicles to the Robotaxi fleet right away.
Adding Customer Vehicles
It will take some time before Tesla meets their strict internal safety requirements before it lets customers add their own vehicles to the network. Tesla’s executive team mentioned that they intend to let owners add their own vehicles to the fleet sometime in 2026. This happens to be the same time frame that Tesla plans to launch the Robotaxi across the United States, Mexico, and Canada — something that could only be done with customer-owned cars.
That final step will be bold—and it may come with complications, especially given that autonomous vehicle approval spans municipal, state or provincial, and even federal levels. There are plenty of regulatory hurdles ahead, but this is undoubtedly shaping up to be one of the most exciting times for Tesla.
Launch Event
With the Robotaxi network launching and Unsupervised FSD just around the corner, there’s a lot to get excited about. Tesla is expected to host a launch event at Gigafactory Texas in Austin to mark the debut of its first Robotaxi network. The company previously hinted that referral code users could receive invites—offering a rare chance to score an early ride in a Robotaxi outside the Hollywood studio lot.
Tesla’s engineering mule vehicles—used to test autonomy for future platforms—have resurfaced after an extended absence. The last time we saw them was back in July, when Tesla was gearing up for its initial We, Robot event. Since then, sightings have been scarce.
These vehicles typically signal that Tesla is testing new camera placements or validating FSD ground-truth data. This time, however, they appear to be outfitted exclusively with the updated camera hardware seen on the Cybercab.
New Sightings
The mules have now been spotted in Boston, Massachusetts, and Concord, New Hampshire—their first known appearances this far east. This suggests Tesla is actively collecting data to evaluate and optimize FSD performance in new regions. Thanks to Reddit user Ready_Medium_6693 for catching the one in Concord.
Elon Musk recently mentioned that Tesla plans to expand Robotaxi networks beyond the initial Texas and California launches. So while these sightings aren’t entirely unexpected, the speed of their arrival is. It suggests Tesla is confident in its ability to train FSD for local traffic rules and driving behaviors to the point it no longer needs a driver.
Bumper Cameras
The vehicle that’s been spotted in Boston is the usual Tesla engineering Model 3… except with one unique twist. It includes a front bumper camera. Shout out to @Dylan02939106 for catching the bumper camera in these photos.
The Refreshed Model 3 Mule with a Bumper Camera!
@Dylan02939106 on X
We previously released an opinion piece regarding whether the front bumper camera would be required for Unsupervised FSD. In our eyes, Tesla will require a bumper camera for Unsupervised FSD - if only to improve direct visibility in the bumper area of the vehicle. This is key for low-speed maneuvering in crowded areas like parking lots and garages, as well as for key features like Actually Smart Summon.
It isn’t surprising that Tesla is continuing to evaluate vehicles with a bumper camera - the Cybertruck, Cybercab, and Refreshed Model Y all have them now - and the rest of the lineup, including the flagship Model S and X, as well as the refreshed Model 3 - were supposed to eventually receive them as well.
With the Model S and Model X set for refreshes this year—and the front bumper camera on this Model 3 looking well-integrated rather than a temporary setup—it seems likely that front bumper cameras will soon become standard across Tesla’s entire lineup.
The Robotaxi Mule in Boston
@Dylan02939106 on X
In fact, Tesla’s newest iteration of the FSD computer has a slot for the Bumper Camera on all AI4/HW4 vehicles, so a future retrofit could even be possible.
These are some pretty exciting times - we may see Robotaxi networks actually deploy in time for Tesla’s lofty goal of “sometime in 2026” for cities throughout North America. Once many American cities begin to accept their deployment, it will be easier to seek homologation in Mexico and Canada, enabling deployment throughout the continent.