Tesla is reducing video streaming quality on YouTube
Not a Tesla App
Steaming YouTube and potentially other streaming services on Teslas is now limited to 360p resolution. The quality of other streaming services appears to be affected as well.
A recent video shared on Reddit showed an owner attempting to adjust the streaming quality in Tesla’s YouTube app but to no avail. The owner was connected to a WiFi network, but the vehicle still did not allow the quality setting to be changed.
Tesla’s Streaming Apps
To bring an unparalleled entertainment experience to its vehicles, Tesla uses video streaming “apps” that are actually just websites loaded in a chromeless browser. This allows Tesla to easily add streaming services without having to build out native apps. Since the apps aren’t native to Tesla’s operating system, the UI or features available can be changed whenever the site is updated. Initially, this appears to be what is causing the issue with YouTube's lower resolution.
Lower Resolution
Google updated the YouTube user interface for the size and resolution Teslas use, which caused some changes. The new UI that appears in Tesla's YouTube app is now the same one that is used on mobile devices, which defaults to 360p resolution.
With this UI change, the resolution button is no longer in the same spot. Although mobile users can still change the resolution through the Settings icon at the top right corner of the video, the dropdowns in the settings menu do not work in a Tesla.
Was This Accidental?
Tesla’s built-in browser, which is Chromium-based, has had issues in the past, so the inability to adjust the resolution through the use of the dropdown offered in the YouTube app appears to be a bug in the Chromium browser Tesla is using.
So initially it looks like YouTube just changed the UI and the default resolution, but a bug in the browser Tesla uses is preventing users from increasing the resolution. However, the issue is that other streaming apps like Netflix and Disney+ in a Tesla appear to be using much lower resolutions as well.
Since multiple apps now appear to stream at a lower resolution, Tesla may have been involved in changing the streaming quality behind these apps. However, there is no official confirmation from Tesla.
Since these apps are just websites, these changes are not due to a specific update and they affect everyone who has access to these streaming services.
Reducing Costs
Tesla uses AT&T to provide its built-in LTE service in the US. They pay based on the amount of data used, and charge customers a flat $9.99/mo. fee for Premium Connectivity. This may be Tesla’s attempt at lowering data usage and costs.
For a brief period in 2019, Tesla showed the bandwidth a vehicle had used in the vehicle's Software menu. However, that information was short-lived in disappeared in the following update.
Tesla used to display the bandwidth a vehicle had used on the screen
Not a Tesla App
Furthermore, the refreshed Model X and Model S cars feature an 8-inch screen in the rear, allowing for passengers to stream Netflix, Disney+, and YouTube, among others, while driving. Owners of these models may use significantly more data since their car doesn't need to be in park to stream video. Bumping the streaming quality down to 360p could save a lot of data, and the quality won’t be as noticeable on an 8-inch screen, as opposed to the Model Y and Model 3’s 15-inch screen.
WiFi
Tesla tries to limit cell data usage, but they’re usually pretty lenient and allow owners to use WiFi for practically whatever they want, even if they’re not subscribed to Premium Connectivity. They also allow owners to download lossless songs from TIDAL over WiFi.
However, being connected to a WiFi network does not resolve the current low-resolution limitation on streaming services.
Workaround to Low Resolution
There are a couple workarounds to use a higher resolution. The first was posted by Reddit user u/taska9. “So far, I have found that if you use the YouTube embed link with the vq parameter, I can get 1080p,” u/taska9 writes.
The user adds: “Say the link is https://youtu.be/nzYrogkhmXI Then you enter this link to the browser, youtube.com/embed/nzYrogkhmXI?vq=hd1080. It works.”
This workaround forces the vehicle to use the desktop version of the site, allowing you to adjust the video’s quality. According to other users in the Reddit thread, using Tesla’s browser and going to the provider’s site also allows for HD access.
The second workaround was brought up by our forum user, SteveM3P. The workaround has you load the YouTube app as you normally would and go to the video Settings icon. You then tap the resolution dropdown twice. Nothing will appear on the screen, but you will then be able to use your steering wheel's left scroll wheel to change the resolution. You'll need to press 'left' on the scroll wheel to go through each resolution option.
Video of the Issue
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Tesla appears to be preparing to expand its Robotaxi geofence in Austin, Texas, with numerous engineering vehicles taking to the road. One of the most interesting sights, between the short and tall LiDAR rigs, was a Cybertruck validation vehicle, which we don’t often see.
Tesla’s expansion is moving the Robotaxi Network into downtown Austin, a dense urban environment that is currently outside the geofence. It appears Tesla is content with the latest builds of Robotaxi FSD and is ready to take on urban traffic.
The inclusion of a Cybertruck in the validation fleet is noteworthy, as the rest of the vehicles are Model Ys. This suggests that Tesla may be addressing two challenges simultaneously: expanding its service area while also addressing the FSD gap between the Cybertruck and other HW4 Tesla vehicles.
Tesla Validating Downtown Austin before expanding the Robotaxi geo-fence area. pic.twitter.com/ylFATtjcDi
Recent sightings have shown a fleet of Tesla vehicles, equipped with rooftop validation sensor rigs, running routes throughout downtown Austin and across the South Congress Bridge. While these rigs include LiDAR, it’s not a sign that Tesla is abandoning its vision-only approach.
Instead, Tesla uses the high-fidelity data from the LiDAR as a ground truth measurement to validate and improve the performance of its cameras. In short, it essentially uses the LiDAR measurements as the actual distances and then compares the distances determined in vision-only to the LiDAR measurements. This allows Tesla to tweak and improve its vision system without needing LiDAR.
This data collection in a new, complex environment right outside the Robotaxi geofence is an indicator that plans to expand the geofence. Tesla has previously indicated that they intend to roll out more vehicles and expand the geofence slowly. Given that their operational envelope includes the entire Austin Metro Area, we can expect more locations to open up gradually.
Once they expand the operational radius to include downtown Austin, they will likely also have to considerably increase the number of Robotaxis active in the fleet at any given time. Early-access riders are already saying that the wait time for a Robotaxi is too long, with them sometimes having to wait 15 minutes to be picked up.
With a larger service area, we expect Tesla to also increase the number of vehicles and the number of invited riders to try out the service.
After all, Tesla’s goal is to expand the Robotaxi Network to multiple cities within the United States by the end of 2025. Tesla has already been running an employees-only program in California, and we’ve seen validation vehicles as far away as Boston and New Jersey, on the other side of the country.
Cyber FSD Lagging Behind
One of the most significant details from these recent sightings is the presence of a Cybertruck. Cybertruck’s FSD builds have famously lagged behind the builds available on the rest of Tesla’s HW4 fleet. Key features that were expected never fully materialized for the Cybertruck, and the list of missing features is quite extensive.
Start FSD from Park
Improved Controller
Reverse on FSD
Actually Smart Summon
It may not look like a lot, but if you drive a Cybertruck on FSD and then hop in any of the rest of Tesla’s HW4 vehicles, you’ll notice a distinct difference. This is especially evident on highways, where the Cybertruck tends to drift out of the lane, often crossing over the lane markings.
Tesla was testing parts of Downtown Austin, TX with this Cybertruck which had a massive roof rack, and sensors.
We previously released an exclusive mentioning that a well-positioned internal source confirmed with us that a new FSD build for the Cybertruck was upcoming, but we never ended up receiving that particular build, only a point release to V13.2.9. The AI team’s focus had clearly shifted to getting the latest Robotaxi builds running and validated, and while a flagship, the Cybertruck fleet was small and new, and really a secondary task.
The Cybertruck’s larger size, steer-by-wire, rear-wheel steering, and different camera placements likely present a bigger set of challenges for FSD. Deploying it now as a validation vehicle in a complex environment like downtown Austin suggests that Tesla is finally gathering the specific data needed to bring the Cybertruck’s capabilities up to par. This focused effort is likely the necessary step to refine FSD’s handling of the Cybertruck before they begin rolling out new public builds.
When?
Once Tesla’s validation is complete, we can probably expect the Robotaxi Network to expand its borders for the first time in the coming days or weeks. However, we’ll likely see more signs of the expansion, such as Robotaxi vehicles driving themselves around the area, before the expansion actually happens.
Hopefully, the Cybertruck will also learn from its older siblings and receive the rest of its much-needed FSD features, alongside an FSD update for the entire fleet.
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.
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