Turquoise Lights Could Indicate an Autonomous Driving Vehicle
Not a Tesla App
Mercedes-Benz's introduction of turquoise Automated Driving Marker Lights for its DRIVE PILOT system, following the SAE J3134 Recommended Practice, marks another step in the evolution of automated driving technology. This move raises the question: Should Tesla and all automakers developing autonomous driving features follow Mercedes' lead? Considering the US's lack of a national regulatory framework and the implications for the future of autonomous driving, this topic will get more significant as technology evolves.
Establishing a Common Language for Automated Vehicles
Mercedes-Benz’s initiative underscores the importance of a standardized visual communication method for automated vehicles. Such standardization would help inform all drivers and pedestrians when vehicles operate autonomously, improving road safety and predictability. If Tesla adopted this system, it could contribute significantly to establishing a universal language for automated cars, fostering a safer and more efficient integration into the existing traffic ecosystem.
There is still a long road ahead to fully autonomous driving, mainly because the technology is dealing with human behavior, which, at times, can be unpredictable. But this kind of signal could alert other FSD vehicles to travel together, lessening the risk of human error during those long road trips.
Mercedes' turquoise light
Not a Tesla App
Risk of Misinterpretation
However, a significant concern for Tesla in adopting such a strategy is the potential for increased negative attention from EV critics. The move, known as 'rolling coal,' where diesel truck drivers intentionally emit large amounts of exhaust fumes near EVs, highlights tensions between traditional vehicle enthusiasts and the EV community. Introducing conspicuous turquoise lights might exacerbate this issue, making Tesla vehicles more of a target for such antagonistic behavior.
While using ADS marker lights offers clear benefits, concerns have been raised about their potential to attract intentional interference from other road users. There is also the risk of misinterpretation of these signals, which could lead to safety hazards. Tesla would need to consider these aspects carefully, ensuring that any implementation of such technology is accompanied by widespread public education and awareness campaigns to mitigate these risks.
There could also be an added risk of being a target on the road. If a pedestrian or vehicle knows that a vehicle is autonomous, they may take additional risks in passing or crossing in front of the vehicle, thinking that the vehicle will yield or stop for them.
Navigating the Regulatory Maze and Costs
Implementing turquoise lights as an indicator for full self-driving mode involves navigating complex legal and regulatory landscapes. Currently, there is no nationwide framework in the US for such technology. Mercedes only has approval for the new light in California and Nevada. Standardization requires extensive discussions and adaptations to the national road traffic and regulatory frameworks. Tesla would need to engage in these conversations actively and adapt to evolving standards, which could be resource-intensive.
However, Tesla is a leader in this sector and has experience changing opinions and getting support from competitors. Most automakers have announced plans to adopt Tesla’s NACS charging system, making the company’s charging technology the winner in North America. Others will notice and likely follow if Tesla considers a new light for its FSD.
Additionally, integrating these lights into Tesla's existing vehicle designs might require significant engineering adjustments, adding to the cost and complexity of their vehicles. Who would pay for the retrofit of the current fleet or would it only apply to new vehicles?
Enhancing Accessibility and Safety for Persons with Disabilities
One of the critical considerations for automated driving systems is their potential to provide mobility solutions for individuals who cannot obtain a driver's license due to various impairments. Clear visual signals like turquoise lights could make these technologies more accessible and understandable to all road users, including those with disabilities. By adopting such features, Tesla would be taking a step forward in creating inclusive and universally accessible transportation solutions.
The decision for Tesla to adopt turquoise lights similar to Mercedes-Benz for indicating full self-driving mode is multifaceted, involving considerations of safety, inclusivity, regulatory compliance, and public perception. As the landscape of automated driving continues to evolve, industry leaders like Tesla must navigate these challenges thoughtfully, contributing to a future where autonomous vehicles are seamlessly integrated into our daily lives, enhancing accessibility and safety for all road users.
Subscribe
Subscribe to our newsletter to stay up to date on the latest Tesla news, upcoming features and software updates.
Tesla has been quietly building something pretty unique on the streets of Hollywood—and we’ve been keeping a close eye on it. That’s right: the long-anticipated Tesla Hollywood Drive-In, Diner, and Supercharger is shaping up to be one of the most creative approaches to EV charging yet.
But this isn’t your average Supercharger site. It features a retro-futuristic, 24-hour diner and an outdoor movie theater, blending the charm of the 1980s with the tech-forward vibe of the 2020s.
Tesla hacker Greentheonly managed to spot some new evidence of changes within Tesla’s 2025.8.6 software build, which includes a new modal for “Charger Diner Controls”. While there isn’t anything to activate this new modal just yet, it is an indication of how Tesla intends to integrate the experience right into each and every Tesla.
The text in the modal reads: “Plug in, place your order, recharge” - which means that once you arrive and are plugged in, you’ll be able to place your order - and likely pay through Tesla’s payment system. It seems like this will all be done through either the Tesla app or the vehicle’s tocuh screen. No need to fumble with a separate app or pull out your wallet.
This is definitely a level of integration you just can’t have anywhere else - and just like any other Supercharger site, the Tesla Diner will appear as a suggested site for charging when you’re navigating or looking around the Hollywood area.
This is our best look yet at the two 45-foot LED screens at @Tesla's upcoming Hollywood diner and Supercharger.
We can also see the second Supercharger lot on the left with solar canopies. This will be one of the largest Supercharging spots in North America. pic.twitter.com/aWUe67M5vw
Those two absolutely gigantic 45-foot LED screens have now been turned on for the first time, meaning that Tesla is likely close to opening the Supercharger site. The screens were spotted displaying some test patterns, as well as some Tesla-themed content. It really brings the construction site to life - and it's the clearest sign that the Diner is well on its way to completion.
We’re hoping that this first Tesla Diner sees plenty of success - and that Tesla begins opening more of these types of facilities throughout North America, and eventually globally. Given Tesla’s penchant for unique Superchargers, we imagine this could truly be the case one day.
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.
![Tesla’s Hollywood Diner: In-Car Controls & Theater Screens Turned On [VIDEO]](https://www.notateslaapp.com/img/containers/article_images/2025/tesla-diner.webp/3aaa2ea0edf2eaa0fabe1217530f3476/tesla-diner.jpg)
![Tesla’s Missing Voice: Why a PR Team Matters More Than Ever [Opinion]](https://www.notateslaapp.com/img/containers/article_images/multiple-models/group_93.jpg/4e1056961f0480c7b9eff43dd2ec288e/group_93.jpg)
![Andrej Karpathy considers returning to Tesla to work on Optimus [video]](https://www.notateslaapp.com/images/news/2022/karpathy-podcast_300w.jpg)
