Tesla has started rolling out FSD v12 to employees
Not a Tesla App
Elon Musk announced earlier this month that Tesla's Full Self-Driving (FSD) v12 would be released in two weeks. The usual timeframe reference Musk is famous for was met with skepticism. However, it seems that Tesla is right on track with its rollout.
We have learned through a trusted source that FSD v12 has started rolling out internally with Tesla update 2023.38.10.
Update: Musk has responded to our article on X, confirming that Tesla has indeed starting rolling out FSD v12 to employees.
FSD v12 is the update that is expected to remove "beta" from the title. The initial rollout to employees appears more limited in scale than previous updates. Considering the magnitude of the changes in this version, it makes sense to start slow.
Public Release
The timing of this internal release is close to two major Tesla events. The Cybertruck delivery event is just a few days away. Many eyes will be on the company during the event, allowing Tesla to possibly show the world its latest breakthrough. Alternatively, the highly anticipated holiday update, often regarded as the best update of the year, is expected to be released by 'Santa Musk' in the coming weeks, potentially featuring v12 as a significant addition.
Newer Features
The latest public FSD build, v11.4.7.3, is Tesla update 2023.27.7. This FSD build is several revisions behind the latest production builds, so it's nice to see that v12 will bring FSD beta testers back up to speed with some of the latest Tesla features such as Predictive Charger Availability, Faster Hazard Lights After a Crash, and other features included in updates 2023.32 and 2023.38.
As for FSD improvements, we haven't had a chance to see the release notes for FSD v12 yet. However, now that it has started going out to employees, it shouldn't be long before we find out all the FSD improvements included in this milestone release.
FSD v12: A Leap Forward with Neural Net Use
A significant change in v12 is eliminating over 300,000 lines of code previously governing FSD functions that controlled the vehicle, replaced by further reliance on neural networks. This transition means the system reduces its dependency on hard-coded programming. Instead, FSD v12 is using neural networks to control steering, acceleration, and braking for the first time. Up until now, neural networks have been limited to detecting objects and determining their attributes, but v12 will be the first time Tesla starts using neural networks for vehicle control.
The FSD v12 represents a significant leap in Tesla's FSD technology. Musk has described it as an "end-to-end AI", employing a "photon in, controls out" approach akin to human optical processing. This analogy underscores Tesla's ambition to replicate human-like decision-making capabilities in its vehicles.
Labeled as a "Baby AGI" (Artificial General Intelligence), the system is designed to perceive and understand the complexities of the real world. This philosophical and technological shift in AI-driven autonomy was vividly showcased during a live-streamed drive by Musk through Palo Alto, where the Model S demonstrated smooth and almost flawless navigation through various real-world scenarios, including construction zones, roundabouts, and traffic. That was three months ago; imagine how much the system has learned in 90 days.
Looking Forward: The Future of Tesla's AI Endeavors
The rollout of FSD v12 marks a critical point in Tesla's journey in AI and autonomous driving. It's not just about technological prowess but also about aligning AI with nuanced human behavior. With Musk's continued focus on AI, which is evident across his ventures, Tesla remains a crucial player in the EV market and the broader AI revolution.
As we await further details on the public release of FSD v12 and its potential showcase at the Cybertruck event, it's clear that Tesla is moving closer to a future where cars are not just self-driving but are also intelligent and responsive to the complexities of the real world.
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Tesla is rolling out a fairly big update for its iOS and early-access-only Robotaxi app, delivering a suite of improvements that address user feedback from the initial launch last month. The update improves the user experience with increased flexibility, more information, and overall design polish.
The most prominent feature in this update is that Tesla now allows you to adjust your pickup location. Once a Robotaxi arrives at your pickup location, you have 15 minutes to start the ride. The app will now display the remaining time your Robotaxi will wait for you, counting down from 15:00. The wait time is also shown in the iOS Live Activity if your phone is on the lock screen.
How Adjustable Pickups Work
We previously speculated that Tesla had predetermined pickup locations, as the pickup location wasn’t always where the user was. Now, with the ability to adjust the pickup location, we can clearly see that Tesla has specific locations where users can be picked up.
Rather than allowing users to drop a pin anywhere on the map, the new feature works by having the user drag the map to their desired area. The app then presents a list of nearby, predetermined locations to choose from. Once a user selects a spot from this curated list, they hit “Confirm.” The pickup site can also be changed while the vehicle is en route.
This specific implementation raises an interesting question: Why limit users to predetermined spots? The answer likely lies in how Tesla utilizes fleet data to improve its service.
Here is the new Tesla Robotaxi pickup location adjustment feature.
While the app is still only available on iOS through Apple’s TestFlight program, invited users can download and update the app.
Tesla included these release notes in update 25.7.0 of the Robotaxi app:
You can now adjust pickup location
Display the remaining wait time at pickup in the app and Live Activity
Design improvements
Bug fixes and stability improvements
Nic Cruz Patane
Why Predetermined Pick Up Spots?
The use of predetermined pickup points is less of a limitation and more of a feature. These curated locations are almost certainly spots that Tesla’s fleet data has identified as optimal and safe for an autonomous vehicle to perform a pickup or drop-off.
This suggests that Tesla is methodically “mapping” its service area not just for calibration and validation of FSD builds but also to help perform the first and last 50-foot interactions that are critical to a safe and smooth ride-hailing experience.
An optimal pickup point likely has several key characteristics identified by the fleet, including:
A safe and clear pull-away area away from traffic
Good visibility for cameras, free of obstructions
Easy entry and exit paths for an autonomous vehicle
This change to pick-up locations reveals how Tesla’s Robotaxi Network is more than just Unsupervised FSD. There are a lot of moving parts, many of which Tesla recently implemented, and others that likely still need to be implemented, such as automated charging.
Frequent Updates
This latest update delivers a much-needed feature for adjusting pickup locations, but it also gives us a view into exactly what Tesla is doing with all the data it is collecting with its validation vehicles rolling around Austin, alongside its Robotaxi fleet.
Tesla is quickly iterating on its app and presumably the vehicle’s software to build a reliable and predictable network, using data to perfect every aspect of the experience, from the moment you hail the ride to the moment you step out of the car.
The massive legislative effort titled the "Big Beautiful Bill" is taking direct aim at what has become one of Tesla’s most critical and profitable revenue streams: the sale of US regulatory credits. The bill could eliminate billions of dollars from Tesla’s bottom line each year and will slow down the transition to electric vehicles in the US.
The financial stakes for Tesla are absolutely immense. In 2024, Tesla generated $2.76 billion from selling these credits. This high-margin revenue was the sole reason Tesla posted a profit in Q1 2025; without the $595 million from regulatory credits, Tesla’s reported $409 million in profit would have been a $189 million loss.
How the ZEV Credit System Works
Zero-Emission Vehicle (ZEV) credits are part of state-level programs, led by California, designed to accelerate the adoption of electric vehicles. Each year, automakers are required to hold a certain number of ZEV credits, with the amount based on their total vehicle sales within that state. Under this system, automakers that fail to sell a certain percentage of zero-emission vehicles must either pay a significant fine or purchase credits from a company that exceeds the mandate.
Automakers who fail to sell enough EVs to meet their quota have a deficit and face two choices: pay a hefty fine to the state government for each missing credit (for example, $5,000 per credit in California) or buy credits from a company with a surplus.
As an all-EV company, Tesla generates a massive surplus of these credits. It can then turn around and sell them to legacy automakers at prices cheaper than the fine, creating a win-win scenario: the legacy automaker avoids a larger penalty, and Tesla gains a lucrative, near-pure-profit revenue stream.
This new bill will dismantle this by eliminating the financial penalties for non-compliance, which would effectively make Tesla’s credits worthless. While the ZEV program is a state law, the Big Beautiful Bill will fully eliminate the penalties at a federal level.
A Multi-Billion Dollar Impact
The removal of US ZEGV credits would be a severe blow to Tesla’s financials. One JPMorgan analyst estimated that the move could reduce Tesla’s earnings by over 50%, representing a potential annual loss of $2 billion. While Tesla also earns similar credits in Europe and China, analysts suggest that 80-90% of its credit revenue in Q1 2025 came from US programs.
Why the Program Exists
While the impact on Tesla would be direct and immediate, the credit system has a wider purpose. It creates a strong financial incentive for legacy automakers to develop and accelerate their zero-emission vehicle programs, whether it’s hydrogen, electric, or another alternative.
Eliminating the need for these credits would remove that financial pressure. This could allow traditional automakers to slow their EV transition in the US without the fear of a financial penalty, potentially leading to fewer EV choices for consumers and a slower path to vehicle electrification in the country.
Big, But Not Beautiful
On Sunday Morning TV, Elon Musk was asked his thoughts on the Big Beautiful Bill. They were pretty simple. A bill could be big, or it could be beautiful - I don’t know if it can be both, Musk stated.
Elon Musk in new interview: "I was disappointed to see the massive spending bill, frankly, which increases the budget deficit and undermines the work the DOGE team is doing. I think a bill could be big, or it could be beautiful—I don't know if it can be both." pic.twitter.com/DnyjHN7xCY
The bill poses a threat to Tesla’s bottom line and to the adoption of EVs in the US market, where automakers will no longer have a financial incentive to transition to cleaner vehicles, a market they’ve regularly struggled in when competing against Tesla.
Tesla will have to work carefully in the future to cut expenses to remain profitable after the elimination of these regulatory credits.
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