Well-known Tesla hacker Greentheonly has discovered a new FSD computer labeled Model Y “Reloaded.” This AI4 FSD computer differs from other Model Y Autopilot hardware which is usually just labeled “Model Y.”
Initially, it looks like this new computer may be for the just-announced refreshed Model Y Juniper, which is now open for orders in North America and Europe as well as Asia Pacific, but several features reveal it’s not for Tesla’s upcoming best-seller.
So, with that said, put on your detective hats, we’re going for a little sleuth into what exactly this “Reloaded” computer could be used for.
Model Y Reloaded Computer
The AI4 computer is the brain behind Tesla’s FSD. It is the Autopilot computer, where all the vehicle’s cameras connect, enabling real-time data processing and analysis.
This particular unit is not the standard FSD unit that’s being shipped with the current, now “first-gen” Model Y. The biggest sign that it differs from the current AI4 computer is that it features a connector for the front bumper camera. While the 2024 Model 3 was expected to come with a front bumper camera, it was only ever available on the Cybertruck and will soon be available on the new 2025 Model Y.
This is similar to the physical connector for the front bumper camera present in newer iterations of the Model S and Model X computers. These vehicles were originally slated to get a bumper camera last year, but that hasn’t happened yet. We reported back in 2022 that they received the additional camera hook-ups but no camera.
Tesla recently issued a recall for the AI4 computer, citing physical and software issues that could cause a potential short on the board. According to Green, this board is not the recalled unit but could instead be a replacement unit. However, why the board includes a front bumper camera connection remains a mystery.
Not a Juniper FSD Computer
We know that this isn’t the correct part for the refreshed Model Y Juniper because it lacks a connector for the secondary rear screen in the upcoming model.
Additionally, Tesla has labeled this computer unit as “MY Reloaded” - previous versions of the computer for the Model Y were listed as just “MY.” In addition, all the other computer versions have been pulled from Tesla’s Electronic Parts Catalogue - only this one is now available as Part #2003160-S0-E.
The label with
@greentheonly on X
Speculation
This new FSD hardware doesn’t appear to match the current or new Model Y, so what could it be? Well, there are a few things here. Tesla wouldn’t bother populating that front bumper camera slot for no reason - and this computer is a slightly different form factor than the one that goes in the Model S and Model X - so they’re not just sharing parts between the Model S and Model Y.
The most likely scenario is that Tesla is planning to replace any faulty AI4 computers with this updated part. But could Tesla be open to offering a retrofit for the front bumper camera? It’s important to note that this is not the hardware upgrade that many HW3 owners are waiting for. It is a different form factor than the HW3 computer and wouldn’t fit in HW3 vehicles. If anything, this is a potential replacement for the AI4 computer to support forward compatibility if FSD ever requires a bumper camera.
The full computer.
@greentheonly on X
Bumper Camera Retrofit?
Is Tesla planning to offer a front bumper camera retrofit? Maybe. Tesla doesn’t typically offer retrofits. They did for several items in the past, but they have largely stopped doing so.
Tesla included a front bumper camera on the refreshed Model Y Juniper, as well as on the Cybertruck - and it could be extremely useful for both Actually Smart Summon and FSD to remove the frontal blind spot.
However, it could be an optional feature rather than a retrofit feature. Until FSD Unsupervised arrives, we won’t know for sure whether a bumper camera is required.
For now, it would be best to keep an eye on this. Just like the Model S and Model X having the slot populated, it may not necessarily happen, but it leaves the door open for a future upgrade if necessary.
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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.
