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.
Tesla has officially launched FSD in Mexico. This is the third expansion of FSD since it was first launched in the United States.
The news was shared by Tesla Owners Mexico on X, followed by confirmation from Tesla AI with a simple but exciting message: "¡Hola México!"
FSD features are geo-fenced, meaning that if a vehicle equipped with FSD crosses into a country where the software isn’t supported, it will automatically revert back to Autopilot. This expansion has likely lifted the restriction, meaning the U.S. Tesla owners should now be able to drive into Mexico and continue using FSD without interruption.
FSD Global Expansion Timeline
Tesla has set some lofty goals for itself, announcing in their FSD roadmap that it expects FSD to be ready to roll out internationally in Q1 and expand to right-hand drive markets in Q2. While it’s not clear whether Tesla still expects to meet these targets, this is the latest information that was shared in September 2024:
Q1 2025: FSD is expected to launch in Europe and China, pending regulatory approval.
Q2 2025: FSD rollout for right-hand drive (RHD) markets, with a flexible timeline based on approval processes.
Tesla has faced regulatory hurdles, particularly in China, where FSD testing was recently put on hold. One major hurdle is China’s strict data regulations, which require all training data to be collected and stored within the country. This means Tesla cannot rely on its existing U.S.-based data centers and must build local infrastructure to comply with government policies that prevent vehicle data from leaving China.
Additionally, since FSD relies heavily on fleet data, Tesla won’t be able to leverage its vast global dataset. Instead, the company will need to retrain its AI models using data exclusively gathered from vehicles operating within China. These constraints add complexity to Tesla’s FSD rollout, potentially delaying its expansion in the region.
After initially launching FSD Beta in the U.S. to a small group of influencers, Tesla expanded access to more users through its Safety Score program in late 2021. At first, only those with a perfect score of 100 were eligible, but as FSD improved and Tesla grew more confident in its performance, the requirement was gradually lowered.
In March 2022, Tesla took its first step beyond the U.S. by introducing FSD in Canada with the release of v10.11.1. Since then, Tesla has expanded FSD to Puerto Rico, and now, the launch in Mexico marks another major expansion of the software.
This news will likely raise excitement among users outside of North America who have been waiting for FSD for years. With regulatory hurdles in China presenting unique challenges, Tesla may shift its focus to expanding FSD in Europe and Oceania first.
Meanwhile, Tesla also focuses on launching its Robotaxi network, set to debut in Austin, Texas, in June. The upcoming Cybercabs in Austin could be running early builds of FSD v14 or a specialized version designed for Unsupervised FSD.
Like so many other things happening at Tesla right now, it’s an exciting time as Tesla prepares Unsupervised FSD for the Cybercab, continues the expansion of FSD, and works out all the details of its robotaxi network, such as the cleaning hubs and wirelessly charging capabilities.
In the latest episode of Jay Leno’s Garage, Tesla’s VP of Vehicle Engineering, Lars Moravy, confirmed that the new Model Y will feature adaptive headlights.
As Moravy was talking about the updated headlights in the vehicle, which now sit a few inches lower than before, he stated that in a couple of months, Tesla will add adaptive headlights in the U.S.
While Tesla has already introduced adaptive headlights in Europe and the Indo-Pacific, the feature has yet to make its way to North America.
Originally delayed in the U.S. due to regulatory issues, manufacturers have been able to implement adaptive headlights since mid-2024. Meanwhile, competitors like Rivian and Mercedes-Benz have already rolled out their own full matrix headlight systems, matching what’s available in other regions.
Update: This article has been updated to clarify that adaptive headlights will indeed be launched in the U.S., shortly after the vehicle launching in March.
Currently, Tesla in North America supports adaptive high beams and automatic headlight adjustment for curves, but full matrix functionality has yet to be rolled out. Meanwhile, matrix headlights are already available in Europe, where they selectively dim individual beam pixels to reduce glare for oncoming traffic and adapt to curves in the road.
It was surprising that matrix functionality wasn’t included in the comprehensive 2024 Tesla Holiday Update. This feature would likely improve safety ratings, so we can only assume Tesla is diligently working to secure regulatory approval.
Adaptive Headlights on Other Models
Lars didn’t confirm whether the refreshed Model Y comes with the same headlights as the new Model 3 and the Cybertruck, instead simply calling them "matrix-style” headlights.
The headlights on the new Model Y appear very similar to those available in the 2024+ Model 3, possibly meaning these other models will also receive adaptive headlight capabilities in the next couple of months.
For vehicles with older-style matrix headlights, it’s unlikely that adaptive beams support will launch at the same time, but they will hopefully become available soon afterward.