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Tesla proudly hides ‘Octovalve’ insignia in Model Y, hints at next-gen thermal system
A number of the Tesla Model Y’s secrets are now coming to the surface, as auto veteran and teardown expert Sandy Munro continues his disassembly and analysis of the all-electric crossover. Among the most noteworthy of these secrets is the vehicle’s “Octovalve,” which could very well be an upgraded version of the Model 3’s unique “Superbottle,” which serves as the heart of the all-electric sedan’s thermal management system.
The Model 3 broke all conventions when it became evident that instead of using a different cooling system for the vehicle’s battery pack, cabin, and electronics, the all-electric sedan used one compact centralized thermal management system. Traditional automakers usually install several cooling systems in a car, since components are outsourced to different companies. Tesla opted for a different strategy with the Model 3, thanks to its vertically-integrated approach to its vehicles’ design.

Based on recent photographs taken by auto teardown expert Sandy Munro, the Model Y is also equipped with a novel thermal management system. But instead of a Superbottle, Tesla appears to have provided its latest vehicle with an “Octovalve” instead. Munro is yet to tear down and analyze the Octovalve, but just like its predecessor, it seems to be the heart of the Model Y’s cooling and heating system.
Interestingly enough, the use of the Octovalve instead of the Superbottle in the Model Y may be due to the all-electric crossover’s heat pump. Prior Teslas like the Model S, Model 3, and Model X have used electronic resistive heating systems, which are quick but less efficient than heat pumps.

This is speculation of course, but it appears that the Octovalve may be a novel way for Tesla to combine all heating and cooling systems in the Model Y in one unit. To make this possible, Tesla needed a customized, smart valve system that can perform all the cooling and heating tasks for the Model Y. Based on Munro’s previews, this definitely seems to be the case, as hinted at by the Octovalve’s own badge — an octopus with a snowflake on its head.
Elon Musk has mentioned the Octovalve in a previous tweet, while responding to a Tesla community member who inquired if the Model Y had a solution that is better than the Superbottle. Musk noted in his tweet that the Octovalve is pretty special on its own right, though he was quick to emphasize that all credit for the creation of the system is to the Tesla team, not himself.
“Yes. PCB design techniques applied to create a heat exchanger that is physically impossible by normal means. Heat pump also has a local heating loop to spool up fast & extend usable temperature range. Octavalve is pretty special too. Team did great work. No credit to me,” Musk wrote.
While discussing the Superbottle during the Model 3’s teardown, Sandy Munro stated that device, apart from giving serious technical and cost advantages for Tesla, is the very representation of the electric car maker’s vertical integration. By adopting such a device, Tesla pretty much saved on space, assembly costs, and final assembly time. Such is just not possible with other EVs such as the Chevy Bolt, an otherwise great electric car that utilizes three separate cooling systems.

“The Superbottle is a great example of how the normal automotive companies don’t work together, and Tesla does. That Superbottle crosses many lines that you can’t cross here (in Detroit). If I’m in charge of engine cooling or battery cooling, I don’t want nothing to do with cooling the cabin. And yet, we’ve got the motor cooling, the battery cooling, and electronics, all going through one little bottle that’s got some clever little ball valves that open and close to make sure that everything’s getting heated or everything’s being cooled to where it needs to be. We all thought that was the best thing in the whole damn car,” Munro commented.
Very little is known about the Octovalve and its actual functions for now, but if speculations are correct, it appears that Tesla has created something novel for its newest vehicle’s cooling and heating system once more. This bodes well for the company’s next vehicles as well, such as the Plaid Model S and Model X, the Cybertruck, the Semi, and the next-generation Roadster. Needless to say, it would be very interesting to see what vertically integrated solution Tesla creates for its next electric cars.
News
Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest
Turn-by-turn navigation is not new technology.
For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.
Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.
Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much
Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.
Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.
Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.
But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.
This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.
More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.
It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?
Multiple Data Sources
First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.
Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.
Persistent Learning
FSD seems to struggle with persistent learning from driver interventions.
Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.
This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.
I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.
The next thing I’ve noticed, and this might be controversial, is that Nav has gotten even worse.
I think that might actually be a good thing; Tesla seems to be adjusting it. They just need to adjust it the opposite way.
The car is taking extremely strange routes to very… https://t.co/UHg3tVfNA2
— TESLARATI (@Teslarati) June 16, 2026
Reasoning, Scaling, and Intuition
Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.
Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.
Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.
Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.
Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.
Cybertruck
Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK
A Tesla Cybertruck driver in the United Kingdom had their all-electric pickup seized by local police in the Greater Manchester area after the department cited “legitimate concerns.”
Last Thursday, police saw the pickup on the roads and decided to pull the driver over. Greater Manchester Police said:
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a collision with the Cybertruck.”
🚨 A Tesla Cybertruck, which is illegal to drive in the UK due to safety concerns, has been seized by police in Greater Manchester
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a… pic.twitter.com/cqhdPok3DM
— TESLARATI (@Teslarati) June 16, 2026
The Cybertruck in question was, according to the BBC, registered and insured abroad and was confiscated. The driver, who is a UK resident, was reported.
The Greater Manchester Police Department then added:
“The Tesla Cybertruck is not road-legal in the UK and does not hold a certificate of conformity.”
The Cybertruck cannot be legally driven in the UK because it has no UK Type Approval for operation in the country. This is due to some safety concerns, which are related to its angular shape and design. The stainless steel exoskeleton has sharp edges and projections that violate UK/EU rules on pedestrian protection.
Tesla has considered creating what it referred to as an “international version” that would be approved for operation in Europe. However, there has been no real movement on that front by the company, as it has been focused on the Robotaxi rollout primarily.
News
Apple is developing the missing link for Tesla to get CarPlay: report
A new report claims that Apple is in the process of developing what would be the missing link for Tesla to get CarPlay.
Apple and Tesla have been reportedly working together for some time to give Tesla owners the opportunity to utilize CarPlay within their vehicles. While many owners are more than happy with Tesla’s in-house UI, which is seamless, effective, and smooth, some still want CarPlay, which does have its advantages.
A report from 9to5Mac now states that a new CarPlay technology that was highlighted during the Worldwide Developers Conference (WWDC) would potentially be the bridge between Tesla and Apple. With the addition of a feature known as “Route Sharing,” which gives a navigation app the ability to share routing data with the vehicle, Tesla would be able to launch CarPlay in its vehicles, the report states.
CarPlay has not been a priority for Tesla because it has done extremely well with its in-house UI, but some drivers are just used to it. Additionally, it could improve Tesla’s subpar Navigation or offer improved app capabilities, especially with iMessage.
Route Sharing is an intended addition to CarPlay’s iteration in iOS 26.4, which was released in March:
The addition of CarPlay would undoubtedly be welcome, but at the same time, it seems like Tesla realizes it is not of the utmost priority. There are so many things that Tesla is working on currently within its own vehicles, especially attempting to solve self-driving.
Back in February, Bloomberg had reported that Tesla was still working on bringing CarPlay to its vehicles, but it had not due to app compatibility issues and incredibly low adoption rates of iOS 26.
This bottleneck could buy Tesla the proper amount of time to develop CarPlay for its vehicles. It would be a welcome addition, and could be brought on with either the Summer or Fall 2026 Software Updates.