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 recently introduced Buy Now, Pay Later (BNPL) payment options in the United States and Canada for items in the Tesla Shop, letting owners pay later for new vehicle accessories.
However, with Tesla app update 4.46, they’re expanding support to a much more critical area — Tesla Service. Qualifying owners in the U.S. and Canada will now be able to use Pay Later options for service performed by Tesla, which includes maintenance or repairs.
Services are provided by Affirm and Klarna, as per Mark Fonte, a Senior Software Engineer working on the Tesla app.
The new feature is seamlessly integrated into the existing service workflow within the Tesla app.
On the Service Estimate, before work on the vehicle begins, you will see a new message on the estimate screen: Pay over time - see if you qualify.
Tapping this link opens the payment calculator, which allows you to view potential payment structures and monthly costs. This provides a clear picture of what a payment plan would look like before you commit to servicing your vehicle.
Additionally, after service is complete and you are ready to pay, the final payment screen will present Affirm and Klarna (region-dependent) as selectable payment methods, alongside the usual options of Tesla Credit or your primary payment card.
Tapping Affirm or Klarna here will reopen the payment calculator, and a confirmation prompt will appear before selecting either BNPL option.
Service Now, Pay Later
Overall, the integration of BNPL providers for service is a thoughtful one for vehicle owners. The terms can vary widely, so it’s important to compare them to other payment options you may have access to. The additional financial flexibility, when faced with a large repair bill, allows more owners to get their vehicle professionally and properly serviced by Tesla.
For those getting larger work done, such as high-voltage battery pack replacements, this is an excellent option to spread payments over a longer period, helping reduce the burden of vehicle repair.
With the launch of Tesla’s Robotaxi Network, we didn't just get a peek into the future of transportation—we got a detailed look at the next version of FSD.
Videos from early access riders revealed some additional capabilities over current public FSD builds, showing off how it handles emergency vehicles and more.
Safety First for First Responders
One of the biggest changes in FSD’s capabilities is its improved handling of emergency vehicles. During a ride in Austin, Robotaxi is seen identifying an approaching ambulance using a combination of visual and audio data, activating its turn signal, and smoothly pulling over to the side of the road to let the ambulance by (video below).
This is a driving task that requires more than simple awareness of laws. It requires reasoning skills to determine where to move the vehicle to create a safe path, as well as the ability to quickly identify an ambulance or another emergency service vehicle with its sirens and lights activated. Understanding the context and executing a safe and predictable maneuver is crucial, as a wrong maneuver could actually make matters worse.
For FSD and Robotaxi to gain both public trust and regulatory approval, this skill is non-negotiable, and Tesla demonstrated its advancements right here. It’s not surprising Tesla added this ability before Robotaxis made it to public roads.
How does a fleet of Robotaxis keep its eyes clean without constant human intervention? Well, a clever new feature that Tesla has previously hinted at in their FSD release notes provides the answer. Robotaxi can now trigger a specific wiper and washer fluid sequence designed to clean the main front-facing cameras.
This might seem like a small detail, but it’s a brilliant solution to one of Tesla’s primary challenges - maintaining sensor clarity. While the vehicle could simply wipe the windshield multiple times, this is a clever solution to clean the most important area of the windshield as thoroughly as possible by focusing extra wiper fluid and wipes on that area.
Complex Maneuvers
Two areas where current builds of FSD V13.2.9 sometimes show hesitation are U-turns and navigating busy parking lots. The latest Robotaxi build appears to improve on both of these areas.
This first video shows a Robotaxi performing a flawless U-turn with no hesitation, and then smoothly switching lanes to take a turn.
Another video on X shows FSD’s updated confidence in navigating a complex parking lot for a precise drop-off. Today’s builds can sometimes struggle in parking lots, being slow and overly cautious when not needed, or too confident elsewhere. This appears to have been improved in these Robotaxi FSD builds with improved path planning and confidence.
Tesla Robotaxi service is just so smooth. Handles parking lots very well, noticeably better than the competitors pic.twitter.com/D5OxSrajCW
We’re also likely to see FSD begin to handle more complex destination options, including parking garages and driveways, which have been promised features for almost a year. The Robotaxi FSD build has also gained the ability to safely pull over on a road, similar to the ambulance example above, but it uses this capability to drop off and pick up passengers. This is a feature that was mentioned in FSD v13.2’s Upcoming Improvements section.
Better Nighttime Performance
Driving at night presents additional challenges, including headlight glare and reduced visibility. The latest version of FSD appears to handle it with almost the same grace as it does during the day. Remember that Tesla’s Robotaxis are available up until midnight. Early access riders mentioned that FSD is far smoother and is a step up from the behavior of current FSD builds.
Impressive nighttime performance from Tesla Robotaxi, dropping us off at In-N-Out as smoothly as it did during the day. pic.twitter.com/yQOhphtR0q
Now, what happens when a passenger feels unsafe or has a critical question? Tesla has placed two key buttons on the rear screen for just those purposes. Users are given control over the ability to Call Support, which almost instantly connects them with a real human agent at Tesla’s Robotaxi Operations Center via video call.
Here’s what happens when you hit the support button in Tesla’s Robotaxi’s.
While it isn’t a fundamental driving feature, it does mean that Tesla’s team can provide support to Robotaxi vehicles remotely, like issuing directive commands to have a vehicle proceed straight, rather than attempting to turn through a gated community.
The other option, Pull Over, allows a rider to immediately request the vehicle to safely pull over, which it will do when it can find a safe and open location. At this point, you can either continue your trip or get out of the Robotaxi.
Both options prompt you with an “Are You Sure?” button before letting you continue, which means you won’t have your Robotaxi ride come to an abrupt stop if you tap the ‘Pull Over’ button by accident.
What This Means for Tesla Owners
These features are likely to be included in future FSD builds. This is essentially the new benchmark by which to judge FSD, at least once it begins rolling out to customer vehicles.
Many of the core driving improvements, such as the more confident maneuvering and emergency vehicle response, will make their way to the wider fleet in upcoming FSD updates.
Remember - Robotaxi isn’t just a service, it is also a preview of Tesla’s driverless FSD builds.
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