Matrix headlights have a circular dome projector on the outer edge
Not a Tesla App
Tesla has been on a roll with updates recently, and now update 2024.20 was released to employees over the weekend. This update builds on the many features in the Spring Update and adds a few big improvements.
Adaptive Headlight Support in the US & Canada
Tesla recently tweeted that update 2024.20 is now rolling out to vehicles - and they included some surprises in this tweet. This update includes Adaptive Headlights for the United States and Canada! North America will receive adaptive headlight support by including the curve adaption feature discussed below. South Korea and Puerto Rico will also gain the feature.
Europe and possibly other regions will also include this feature in addition to being able to illuminate further on highways.
Tesla also shed some light on what’s included in the hot weather improvements. All Model 3s and Model Ys, as well as refreshed Model S and X’s will now cool down faster in hot temperatures. They will also better regulate high-voltage battery temperature for improved Supercharging performance. The Cybertruck in particular will also benefit from a quieter AC.
The full list of improvements in update 2024.20 is discussed below.
Update: This article has been updated to make it clearer that the U.S. and Canada did not receive full matrix headlight support. What they received was the ability for vehicles with matrix headlights to light up the sides of the road in response to upcoming turns. The Tesla release notes state:
“Headlights now adapt for curves in the road ahead for greater visibility in low lighting. Enable this feature in your vehicle settings at Lights > Adaptive Headlights.”
This differs from the European release notes for the same feature which state:
“Headlights now adapts for curves in the road ahead of you and illuminate farther when you’re driving on a motorway.”
“Enable these features in your vehicle settings at Lights > Adaptive Headlights.”
Adaptive Headlights
New updates to Adaptive Headlights are arriving for European cars with matrix headlights. The new update allows the headlights to adapt to curves in the road ahead of you, enabling better illumination. Having the adaptive headlights work for curves is the second major update for European headlights. Update 2024.8 added adaptive high-beam support, letting your high beams stay on longer by turning off select LEDs in the headlights.
Update 2024.2 first brought adaptive high beams to the new Model 3, before it was later introduced to older vehicles with matrix headlights. At this time, it’s not clear whether the improvements to headlights around curves will be exclusive to matrix headlights or also support the new Model 3.
How to Tell If You Have Matrix Headlights
How do you know if you have matrix headlights on your Tesla? On the outer edge of the headlight, there will be a large, round projector dome, like in the image below. If there isn’t a dome, those are standard non-matrix headlights. Another way to tell is to run a stock light show while facing a wall. If the Tesla logo, in letters, pops up, you have matrix headlights.
For now, North America still does not have adaptive headlight support, mostly due to legislative and testing issues in the United States. The US recently approved adaptive headlights, and a Tesla employee mentioned they’re working on it. Canada has legalized adaptive headlights since 2018, so we see this deployed in North America at some point in the future.
Supercharger Races on Beach Buggy Racing 2
Tesla is still improving its Arcade functionality, with the addition of local leaderboards at Superchargers in Beach Buggy Racing 2. It appears that each individual Supercharger site will have its own leaderboard, which drivers can compete on while their cars charge. Tesla says there will also be special races to compete in this Beach Buggy Racing 2 update.
Tesla owners can plug in and play with a controller, the touchscreen, or their vehicle’s steering wheel. Thanks to steer-by-wire on the Cybertruck, the actual wheels on the truck won’t move like they do on other Tesla models when playing the game.
We continue to hope that future refreshes to the S, 3, X, and Y will eventually receive steer-by-wire as well, as the feature has quite a few unique uses, whether driving or parked.
Autopilot Strikes and Suspension
An updated Autopilot Strike system, similar to the one that is on Tesla’s upcoming FSD V12.4 update, is on 2024.20 as well. At five strikes, users will be suspended from the use of Autopilot like before, but now Tesla will remove a strike for each 7-day period the driver goes without receiving a strike.
FSD 12.4 also improves vision-based monitoring and removes the steering wheel nag, but that’s not in this latest Tesla update, but will likely be added in the future.
Tesla tends to release new Autopilot features in their FSD updates before releasing them to the wider public for regular Autopilot use.
Hot Weather Improvements
The last set of user-end improvements coming in 2024.20 will be related to hot weather, the opposite of 2024.2.6’s cold weather update. This set of changes intends to improve AUTO mode HVAC performance in hot weather, helping to cool down the cabin faster, while also maintaining comfort at lower noise levels.
There have been several updates in the last six months to Tesla’s HVAC systems, all helping to deliver a quieter, more comfortable experience, with one of the last major ones introducing cool-down or warm-up periods before blowing air into the car cabin.
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With Tesla’s first major expansion of the Robotaxi Geofence now complete and operational, they’ve been hard at work with validation in new locations - and some are quite the drive from the current Austin Geofence.
Validation fleet vehicles have been spotted operating in a wider perimeter around the city, from rural roads in the west end to the more complex area closer to the airport. Tesla mentioned during their earnings call that the Robotaxi has already completed 7,000 miles in Austin, and it will expand its area of operation to roughly 10 times what it is now. This lines up with the validation vehicles we’ve been tracking around Austin.
Based on the spread of the new sightings, the potential next geofence could cover a staggering 450 square miles - a tenfold increase from the current service area of roughly 42 square miles. You can check this out in our map below with the sightings we’re tracking.
If Tesla decides to expand into these new areas, it would represent a tenfold increase over their current geofence, matching Tesla’s statement. The new area would cover approximately 10% of the 4,500-square-mile Austin metropolitan area. If Tesla can offer Robotaxi services in that entire area, it would prove they can tackle just about any city in the United States.
From Urban Core to Rural Roads
The locations of the validation vehicles show a clear intent to move beyond the initial urban and suburban core and prepare the Robotaxi service for a much wider range of uses.
In the west, validation fleet vehicles have been spotted as far as Marble Falls - a much more rural environment that features different road types, higher speed limits, and potentially different challenges.
In the south, Tesla has been expanding towards Kyle, which is part of the growing Austin-San Antonio suburban corridor spanning Highway 35. San Antonio is only 80 miles (roughly a 90-minute drive) away, and could easily become part of the existing Robotaxi area if Tesla obtains regulatory approval there.
In the East, we haven’t spotted any new validation vehicles. This is likely because Tesla’s validation vehicles originate from Giga Texas, which is located East of Austin. We won’t really know if Tesla is expanding in this direction until they start pushing past Giga Texas and toward Houston.
Finally, there have been some validation vehicles spotted just North of the new expanded boundaries, meaning that Tesla isn’t done in that direction either. This direction consists of the largest suburban areas of Austin, which have so far not been serviced by any form of autonomous vehicle.
Rapid Scaling
This new, widespread validation effort confirms what we already know. Tesla is pushing for an intensive period of public data gathering and system testing in a new area, right before conducting geofence expansions. The sheer scale of this new validation zone tells us that Tesla isn’t taking this slowly - the next step is going to be a great leap instead, and they essentially confirmed this during this Q&A session on the recent call. The goal is clearly to bring the entire Austin Metropolitan area into the Robotaxi Network.
While the previous expansion showed off just how Tesla can scale the network, this new phase of validation testing is a demonstration of just how fast they can validate and expand their network. The move to validate across rural, suburban, and urban areas simultaneously shows their confidence in these new Robotaxi FSD builds.
Eventually, all these improvements from Robotaxi will make their way to customer FSD builds sometime in Q3 2025, so there is a lot to look forward to.
For years, the progress of Tesla’s FSD has been measured by smoother turns, better lane centering, and more confident unprotected left turns. But as the system matures, a new, more subtle form of intelligence is emerging - one that shifts its attention to the human nuances of navigating roads. A new video posted to X shows the most recent FSD build, V13.2.9, demonstrating this in a remarkable real-world scenario.
Toll Booth Magic
In the video, a Model Y running FSD pulls up to a toll booth and smoothly comes to a stop, allowing the driver to handle payment. The car waits patiently as the driver interacts with the attendant. Then, at the precise moment the toll booth operator finishes the transaction and says “Have a great day”, the vehicle starts moving, proceeding through the booth - all without any input from the driver.
If you notice, there’s no gate here at this toll booth. This interaction all happened naturally with FSD.
While the timing was perfect, the FSD wasn’t listening to the conversation for clues (maybe one day, with Grok?) The reality, as explained by Ashok Elluswamy, Tesla’s VP of AI, is even more impressive.
It can see the transaction happening using the repeater & pillar cameras. Hence FSD proceeds on its own when the transaction is complete 😎
FSD is simply using the cameras on the side of the vehicle to watch the exchange between the driver and attendant. The neural network has been trained on enough data that it can visually recognize the conclusion of a transaction - the exchange of money or a card and the hands pulling away - and understands that this is the trigger to proceed.
The Bigger Picture
This capability is far more significant than just a simple party trick. FSD is gaining the ability to perceive and navigate a world built for humans in the most human-like fashion possible.
If FSD can learn what a completed toll transaction looks like, it’s an example of the countless other complex scenarios it’ll be able to handle in the future. This same visual understanding could be applied to navigating a fast-food drive-thru, interacting with a parking garage attendant, passing through a security checkpoint, or boarding a ferry or vehicle train — all things we thought that would come much later.
These human-focused interactions will eventually become even more useful, as FSD becomes ever more confident in responding to humans on the road, like when a police officer tells a vehicle to go a certain direction, or a construction worker flags you through a site. These are real-world events that happen every day, and it isn’t surprising to see FSD picking up on the subtleties and nuances of human interaction.
This isn’t a pre-programmed feature for a specific toll booth. It is an emergent capability of the end-to-end AI neural nets. By learning from millions of videos across billions of miles, FSD is beginning to build a true contextual understanding of the world. The best part - with a 10x context increase on its way, this understanding will grow rapidly and become far more powerful.
These small, subtle moments of intelligence are the necessary steps to a truly robust autonomous system that can handle the messy, unpredictable nature of human society.
