As Tesla continues to push the capabilities of its hardware as it prepares for autonomy with FSD Unsupervised, there has been a distinct divergence in features between HW4-equipped vehicles on FSD V13, and HW3-equipped vehicles on FSD V12.6.
There are definitely reasons for this, and Tesla hacker Greentheonly, over on X, went into great detail on some of the reasons why this divergence has continued and is likely to continue.
If you’re interested in some background, we recommend the following articles. Although they’re not necessary, you may enjoy reading them before diving right in if you enjoy this topic.
Back in the summer of 2024, we reported that Tesla’s HW4 had yet to reach its full potential, and that HW3 still had some compute to work with. However, FSD has undergone a rapid evolution - there are now fundamental differences driven by the hardware capabilities and sheer scale of the latest builds of FSD.
FSD V13’s Gargantuan Neural Networks
FSD V13 is a substantial leap for Tesla. It features substantially larger neural networks - the core brain that processes all the environmental data and makes decisions. Those networks are far larger in V13 than in V12, which results in a much smoother and human-like expereience.
Tesla’s FSD computers contain two nodes. According to Green’s analysis of FSD V13, Node B, which handles the actual end-to-end driving logic, tripled in size from 2.3 GB in V12 to a staggering 7.5 GB in V13. That’s a substantial increase, and one of the main reasons why HW3 can’t handle FSD V13. While Interestingly, Node A on HW4 remains similar in size to FSD V12, using up about 2.3 GB.
However, this massive size is also pushing the limits of HW4. While this isn’t necessarily a big problem immediately - at the end of the day, there is a limited amount of compute and ram available and model sizes will likely grow in the future. In fact, Tesla is planning to scale model sizes in the next FSD version and has already said they’ll need to optimize them, as context size is limited by on-board memory.
HW3 Limitations
Since HW3 can’t run the latest FSD models, where does this leave millions of Tesla vehicles equipped with the now-legacy FSD hardware? Are they hitting a dead end? Not exactly - Tesla has promised to replace HW3 computers with new units during the Q4 2024 Earnings Call, but only for those who have purchased FSD and only if Tesla is no longer able to update HW3 vehicles.
There’s no doubt Tesla hopes to achieve autonomy and then work backwards to make it compatible with HW3, but that’s unlikely to happen with the limited ram available on HW3.
Tesla’s AI team has continued to say that they’re still working on updating HW3 vehicles - but that they will be taking a backburner to updates for HW4 until the team can optimize the model efficiently enough to run on the smaller footprint. That means V12.6 isn’t just V13 “lite” - it is a distinctly different software branch tailored specifically for HW3’s capabilities.
Green's analysis showed that HW3 under V12.6 runs NNs totaling 1.2 GB on Node A and 3.1 GB on Node B, which is significantly smaller than the footprint of V13. Back in November, we discussed how Tesla is running a smaller and optimized FSD model on HW3, with the specific goal of achieving similar performance to V13. FSD V12.6 appears to be the current implementation of that smaller model strategy.
Green also found that of the total neural nets used for FSD, 135 are shared between the current V12.6 and FSD V13.2 releases, which is the result of Tesla’s AI team working to optimize and refine the V13 model for HW3. So some neural nets are shared between the two sets of hardware, while others are specific to HW3 or HW4.
AI4 in the Future
The fact that V13 is already stretching HW4’s limits makes us wonder about Tesla’s imminent release of AI5. Last year, Tesla mentioned that AI5 would be 18 months away - which is now about 8 months away, and potentially even sooner to help solve the autonomy problem.
At the same time, Tesla is looking to launch Unsupervised FSD in June in Austin, Texas, with presumably HW4, which would indicate that they’re confident in its capabilities.
Unless Tesla launches the Robotaxi network with AI5, we don’t believe AI5 will be a “must have” item. Undoubtedly, it will result in similar improvements to HW4 compared to HW3. However, the software needed to take advantage of the newer hardware could still be years away.
All eyes will be on Tesla’s Robotaxi network launch and the hardware required for it. For now, HW4 owners are in good hands with future updates are on the horizon, and we’re certainly excited for what’s next.
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The road to bringing FSD to Europe has been a long and complex one and filled with regulatory and bureaucratic hurdles. Elon Musk, as well as other members of Tesla’s AI team, have previously voiced their grievances with the regulatory approval process on X.
However, it appears that there is finally some progress in getting things moving with recent changes to upcoming autonomy regulations, but the process still seems slow.
Waiting on the Dutch
Elon commented on X recently, stating that Tesla is waiting for approval from Dutch authorities and then the EU to start rolling out FSD in Europe. Tesla is focusing on acquiring approvals from the Dutch transportation authority, which will provide them with the platform they need to gain broader acceptance in Europe. Outside of the Netherlands, Tesla is also conducting testing in Norway, which provides a couple of avenues for them to obtain national-level approval.
The frustration has been ongoing, with multiple committee meetings bringing up autonomy regulation but always pulling back at the last second before approving anything. The last meeting on Regulation 157, which governs Automated Lane Keeping Systems, concluded with authorities from the UK and Spain requesting additional time to analyze the data before reaching a conclusion.
Tesla, as well as Elon, have motioned several times for owners to reach out to their elected representatives to move the process forward, as it seems that Tesla’s own efforts are being stymied.
This can seem odd, especially since Tesla has previously demoed FSD working exceptionally smoothly on European roads - and just did it again in Rome when they shared the video below on X.
— Tesla Europe & Middle East (@teslaeurope) June 12, 2025
DCAS Phase 3
While the approval process has been slow, Kees Roelandschap pointed out that there may be a different regulatory step that could allow FSD to gain a foothold in Europe.
According to Kees, the European Commission is now taking a new approach to approving ADAS systems under the new DCAS Phase 3 regulations. The Commission is now seeking data from systems currently operational in the United States that can perform System-Initiated Maneuvers and don’t require hands-on intervention for every request.
This is key because those are two of the core functionalities that make FSD so usable, and it also means that there may not be a need to wait years for proper regulations to be written from scratch. Now, the Commission will be looking at real-world data based on existing, deployed technology, which could speed up the process immensely.
What This Means
This new, data-driven regulatory approach could be the path for Tesla to reach its previous target of September for European FSD. While the cogs of bureaucracy are ever slow, sometimes all it takes is a little data to have them turn a bit faster in this case.
Alongside specific countries granting approval for limited field testing with employees, there is some light at the end of the tunnel for FSD in Europe, and hopes are that a release will occur by the end of 2025. With Europe now looking to North America for how FSD is performing, Tesla’s Robotaxi results could also play a role.
Tesla’s marketing has always been relatively unconventional, relying on word-of-mouth rather than traditional advertising. The passion of the owner’s community is always massive, but it is especially high now with the launch of the Robotaxi network just around the corner.
Tesla is now tapping into that spring of fan creativity and announced the TeslaVision video contest, with some seriously impressive prizes up for grabs.
Announcing the TeslaVision fan video showcase
Tesla owners & supporters have always been able to see our products & mission for what they truly are.
Your word of mouth has made Tesla what it is today.
The OGs will remember that in 2017, we held our first video contest. 8 years… pic.twitter.com/6pPpkqmqOH
The core of the contest is simple. Create a video that shows how your Tesla gives you more in life. Tesla is looking for submissions that highlight themes of freedom, safety, fun, and convenience.
Prizes
The prizes definitely make this contest worth entering if you’re good with a camera and have some basic video editing abilities.
For North America, the prizes include a brand new Model Y AWD Long Range, alongside an all-expenses-paid trip to Austin for a tour of Giga Texas. The grand prize winner will also be able to custom order their Model Y, allowing them to select their preferred wheels and color.
The two runners-up won’t get a Model Y, but they’ll also enjoy an all-expenses-paid trip to Giga Texas for a tour of the factory.
The travel and tour include lodging in Austin for 2 nights, as well as economy-class round-trip tickets from anywhere in North America. Tesla will also provide a vehicle for use during the trip.
For long-time followers of Tesla, this contest may feel familiar. The contest is a direct throwback to the 2017 Project Loveday contest, which was inspired by a letter to Tesla from a 10-year-old aspiring marketer. That contest was won by MKBHD, with his submission below:
How to Enter
If you’re ready to start filming, here are the key pieces of information you’ll need to know:
Video must be 90 seconds or less
Video must be uploaded to YouTube with a public URL
Make a post on X and Instagram tagging “@Tesla” and include the words “TeslaVision contest” in the post.
Provide links to both social media posts in your submission to Tesla’s form
Provide your personal details in the form
You have until July 17th, 2025, or until Tesla receives 10,000 entries, whichever comes first.