As part of an update to its AI roadmap, Tesla has also announced the features that will be in FSD v13. Tesla provided many details about what we can expect, and there’s a lot of info to break down.
Tesla’s VP of AI, Ashok Elluswamy, also revealed that FSD v13 is expected to make FSD Unsupervised feature complete. That doesn’t mean that autonomy will be ready, as each feature will still need to work at safety levels higher than a human, but it means every key feature of autonomous vehicles will be present in FSD v13.
Let’s examine the v13 feature list Tesla and Tesla employees have recently provided to see exactly what’s coming.
Higher Resolution Video & Native AI4
FSD v12 has been trained using Tesla’s HW3 cameras and downsampling the AI4 cameras to match. For the first time, Tesla will use AI4's native camera resolution to get the clearest image possible. Not only will Tesla increase the resolution, but they’re also increasing the capture rate to 36 FPS (frames per second). This should result in extreme smoothness and the ability of the vehicle to detect objects earlier and more precisely. It’ll be a big boon for FSD, but it’ll come at the price of processing all of this additional information.
The HW3 cameras have a resolution of about 1.2 megapixels, while the AI4 cameras have a resolution of 5.44 megapixels. That’s a 4.5x improvement in raw resolution - which is a lot of new data for the inference computer and AI models to deal with.
Yun-Ti Tsai, Senior Staff Engineer at Tesla AI, mentioned on X that the total data bandwidth is 1.3 gigapixels per second, running at 36 hertz, with nearly 0 latency between capture and inference. This is one of the baseline features for getting v13 off the ground, and through this feature update, we can expect better vehicle performance, sign reading, and lots of little upgrades.
Bigger Models, Bigger Context, Better Data
The next big item is that Tesla will increase the size of the FSD model by three times and the overall context length by the same amount. What that means, in simple terms, is that FSD will have a lot more information to draw upon—both at the moment (the context length) and from background knowledge and training (model size).
In layman’s terms, Tesla has made the FSD brain bigger and increased the amount of information it can remember. This means that FSD will have a lot more data to work with when making decisions, both from what's happening right now and from what it has learned in the past.
Beyond that, Tesla has also massively expanded the data scaling and training compute to match. Tesla is increasing the amount of training data by 4.2 times and increasing their training commute power by 5x.
Video of the inside of Cortex today, the giant new AI training supercluster being built at Tesla HQ in Austin to solve real-world AI pic.twitter.com/DwJVUWUrb5
Tesla’s FSD has famously only relied upon visual data—equivalent to what humans can access. LiDAR hasn’t been on Tesla’s books except for model validation, and radar, while used in the past, was mostly phased out.
Now, Tesla AI will integrate audio intake into FSD’s models, with a focus on better handling of emergency vehicles. FSD will soon be able to react to emergency vehicles, even before it sees them. This is big news and is in line with how Tesla has been approaching FSD—through a very human-like lens.
We’re excited to see how these updates pan out - but there was one more thing. Ashok Elluswamy, VP of AI at Tesla, confirmed on X that they’ll add the ability for FSD to honk the horn.
Other Improvements
The other improvements, while major, can be summarized pretty simply. Tesla is focusing on improving smoothness and safety in various ways. The v13 AI will be trained to predict and adapt for collision avoidance, navigation, and better following traffic controls. This will make it more predictable for users and other drivers and improve general safety.
Beyond that, Tesla is also working on a better representation of the map and navigation inputs versus what FSD actually does. In complex situations, FSD may choose to take a different turn or exit, even if navigation is telling it to go the other way. This future update will likely close this gap and ensure that your route and FSD’s path planner match closely.
Of course, Tesla will also be working on adding Unpark, Reverse, and Park capabilities, as well as support for destination options, including parking in a spot, driveway, or garage or just pulling over at a specific point, like at an entrance.
Finally, they’re also working on adding improved camera self-cleaning and better handling of camera occlusion. Currently, FSD can and will clean the front cameras if they are obscured with debris, but only if they are fully blocked. Partial blockages do not trigger the wipers. Additionally, when the B-Pillar cameras are blinded by sunlight, FSD tends to have difficulties staying centered in the lane. This specific update is expected to address both of these issues.
FSD V13 Release Date
Tesla announced that FSD v13 will be released to employees this week, however, it’ll take various iterations before it’s released to the public. Tesla mentioned that they expect FSD v13 to be released to customers around v13.3, but surprisingly, they state that this will happen around the Thanksgiving timeframe — just a few weeks away.
Tesla is known for delays with its FSD releases, so we’re cautious about the late November timeline. However, the real takeaway is that FSD v13 is expected to offer a substantial leap in capability over the next few months—even if it’s exclusive to AI4.
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Following the successful launch of Robotaxi on Sunday, June 22nd, Tesla has begun moving to the next phase of its Robotaxi rollout. They have finally begun sending out a second, larger wave of invites, expanding the early access program to more members of the Tesla community across the United States.
This has moved them past the initial 20 or so users that were offered access on Sunday. That also means Tesla is on the hunt for something crucial: more real-world data.
More Riders ASAP
The initial launch was a tightly controlled event, with access granted to a small and curated group of influencers. While this approach was ideal for generating initial buzz for the launch and collecting feedback from high-quality testers, it also presented logistical challenges.
With only a handful of authorized riders and vehicles, the demand for rides would inevitably dry up as influencers begin their journeys back home. Without a public release, that would leave Tesla’s Robotaxi fleet idle, unable to gather additional data.
To rapidly improve on Robotaxi’s FSD, Tesla needs its vehicles to be constantly navigating real-world scenarios, encountering edge cases, and logging miles. The second round of invites is needed to keep Robotaxis learning and on the road.
Austin Users Next?
This new wave of invites isn’t an open door for members of the public quite yet. By continuing to send invites to trusted community members, Tesla is executing a slow and deliberate rollout by inviting members who know and love Tesla. This allows them to scale the program gradually, increasing the number of users and the diversity of ride requests without overwhelming the relatively small initial fleet of about 10 cars.
Future phases will likely involve opening access to Tesla owners within Austin, which would open up a regular flow of rides. Once that’s done, Robotaxi will likely open up to the public.
Sign of Confidence
The expansion of the early access program is a sign that Tesla is happy and confident with the rollout so far. While Tesla can gather plenty of data around Austin from Tesla owners using FSD, they also need to continue testing features that are exclusive to the Robotaxi, such as the Robotaxi app, support, and remotely control the vehicles when needed.
We expect a full launch to potentially still be months out, but this methodical expansion will likely see more users gradually gain access to the Robotaxi network in the coming weeks.
Omead Afshar, who was previously Elon Musk’s “Fixer” and the Head of Operations for North America and Europe, has left the company, according to reports from Forbes and Bloomberg.
While some sources have claimed he was fired, others say he voluntarily left, but his exit isn’t exactly an isolated event.
Afshar’s departure is the second high-level exit this month, following Optimus' lead, Milan Kovac. When viewed together, alongside Elon's full-time return to Tesla, these changes may offer some insight into the pressures the Tesla executive team is facing during a transitional period.
Transition from what, you may ask? Well, from the world’s largest EV company to an AI and robotics-first company. This transition has been looming for years, and with Elon’s vision of a future powered by autonomous vehicles and humanoid robots. It’s the path that Tesla is determined to forge, ahead of anyone else, and despite the immense challenges of real-world AI.
Two Competing Narratives
Two primary theories have emerged to explain the timing of Afshar’s exit, and each paints quite a different picture.
The first, supported by the reporting from Forbes, frames him as a casualty of Tesla’s current sales issues. With sales having declined for five consecutive months in Europe and dropping in the US, the second quarter of 2025 has been rough for Tesla. In conjunction with recent factory shutdowns, a lot is happening behind the scenes, with Robotaxi taking the limelight and the missing Affordable Model in the backseat. Afshar’s departure could be the result of a move to show accountability for the performance drop of the core business he managed.
The second narrative is one of “mission accomplished.” Just days before his abrupt exit, Afshar posted a celebratory message on X about the successful launch of the Robotaxi Network.
Absolutely historic day for Tesla.
This has been years of hard work and focus by so many people within the company.
He followed up with a second celebratory-styled message the day after - it was a project he was deeply involved in as the do-it-all executive for Elon. This has led to speculation that his departure was planned, and potentially tied to compensation vesting with the launch of the Robotaxi Network, allowing him to leave on a high note after seeing the kick-off of one of Tesla’s most critical projects. This follows other recent departures of Tesla’s executive team, many of whom have gone to full-time retirement following years of hard work.
The Bigger Picture: What Is Tesla, really?
While both theories are plausible, the truth may be that Afshar’s departure is the symptom of a much larger challenge. Tesla is balancing two very different corporate identities.
On one hand, it's a manufacturing and sales powerhouse, responsible for the world’s best-selling electric vehicles, a business facing intense competition and brand perception challenges that even Elon has acknowledged.
On the other hand, Tesla is the only company shipping real-world AI for consumers, and betting its future on robotics and AI with massive investments in capacity for both future businesses.
The recent executive churn suggests that this balancing act is creating some strain, especially for Tesla’s senior executives. The departure of Milan Kovac signaled pressure on the future side of the business, where progress has been slow but consistent. Now, the exit of Afshar, who ran the “legacy” automotive side of the business, shows there’s pressure there, as the automotive business navigates a period of flattening growth and intense global competition.
So, we ask again - What is Tesla, really? Is it an AI and Robotics company? Kind of, but not really. Is it an EV company? Once again, kind of.
In our eyes, it is no longer just an EV company, but it’s at a critical point where it is transitioning to an AI and robotics company.
Tesla’s messaging to the outside world is similarly conflicted. On the one hand, the launch of the refreshed Model Y, a massive boost for the business, went seemingly unnoticed by Elon, who only posted a single update on the Model Y after its launch. On the other hand, we’ve seen consistent and non-stop posts about Robotaxi, which is likely years away from generating a significant portion of Tesla’s profits.
A Company in Transition
Ultimately, Omead Afshar’s departure is more than a single personnel change; it’s a reflection of Tesla navigating a crucial and challenging transition. The evidence of an abrupt halt, with internal sources reporting his account has been removed from internal company directories, suggests that there’s more to this than meets the eye.
Whether he was fired for declining sales or chose to leave after the successful launch of the Robotaxi Network, the outcome is the same. A key leader, tasked with managing the core business of the present, is gone at the very moment when the company is changing its path towards AI and robotics.
Being both a car company in a tough market and an AI company on the verge of a breakthrough is a monumental challenge, and the path forward is likely to see even more changes.
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