Tesla’s More Affordable Vehicle Update: Q1 2025

By Karan Singh
@DominicBRNKMN/X

Alongside the many things we learned about Unsupervised FSD and the Robotaxi program, we also got to find out a little more about Tesla’s more affordable vehicle in the Q1 2025 Earnings Call.

There has been extensive reporting on what the long-anticipated affordable EV option would become, and we’ve seen numerous news stories mentioning that it was delayed or even arriving on time. The executive team revealed the near-term and long-term plans for Tesla’s upcoming vehicles, and there’s definitely good news to share here.

Updated Timeline

The most important piece of news is that despite all the talk of delays from supposed inside sources, Tesla has confirmed that the plan for its more affordable model remains on schedule for production to begin in the first half of 2025. Tesla’s executive team narrowed that timeline down further - and said that they expect production to kick off as soon as June and that the new model will be in the market shortly thereafter.

While the production timeline itself is on track, Tesla did note that the subsequent ramping process will likely be slower than initially hoped, citing global tariff and financial impacts as challenges to overcome to prepare its production lines.

Hybrid Production Approach

Tesla has once again confirmed that this will not be their next-generation vehicle, built using new production methods. Instead, they outlined a relatively more pragmatic approach for this new model.

Tesla will utilize aspects of both the next-generation platform as well as some parts of its current platforms (namely the Model 3 and Model Y). This means that Tesla will produce this new vehicle on the same manufacturing lines as the Model 3 and Model Y.

This strategy allows Tesla to bring the vehicle to the market more quickly, while also managing capital expenditures more efficiently by using existing infrastructure. However, Tesla’s executive team also noted that this approach, while faster, will result in fewer cost reductions than what might have been achieved with an entirely new platform and dedicated manufacturing process.

Vehicle Design

Using these existing production lines means that Tesla’s new vehicle will likely share some considerable similarities with either the existing Model 3 or Model Y. Rather than being a radically different and smaller vehicle, this new model will resemble the overall form factor and shape of Tesla’s current core offerings, while being optimized for a lower cost.

This doesn’t mean that Tesla is forgetting the overall goal here. Their ultimate goal is to reduce the initial cost of ownership and lower monthly payments for customers while maintaining a standard of excellence and safety.

Not Unboxed

Both at this Earnings Call and previous ones, Tesla has indicated that this new vehicle will not be using the innovative unboxed assembly method, at least for the time being. That relatively unique method will be developed and implemented specifically for the purpose-built Cybercab and for future vehicles on the next-generation platform.

We’re just a few days away from May, so it won’t be long before we see more about this upcoming vehicle. Stay tuned.

Tesla Plans Massive 10x Robotaxi Expansion: A Look at the Potential New Area

By Karan Singh
Not a Tesla App

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.

Caught on Video: Tesla FSD Tackles a Toll Booth — Here’s How It Pulled It Off

By Karan Singh
@DirtyTesLa on X

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.

How It Really Works

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.

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.

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