FSD Beta 10.11 now going out to public testers

By Nuno Cristovao
New vector lanes
New vector lanes
@MarkHalleyPhd/Twitter

Tesla's latest FSD Beta, v10.11 is now going out to public testers. The beta is version 2022.4.5.15. For FSD Beta testers, it'll be the first update they receive that's based on a 2022 release.

Earlier this month Elon tweeted that the beta may go out as early as this past Tuesday. However, he then followed up that it was instead going to go out this past weekend.

Over the weekend we saw FSD Beta 10.11 go out to several employees, which Tesla uses as a final testing phase before releasing to the public.

Today we're finally seeing several public testers getting this build, but it may be a while before it goes out to everyone. Tesla looks at the release carefully as it's going out and can choose to slow it down, speed it up or stop it completely to fix any issues.

When Elon spoke about the next FSD Beta, he mentioned FSD Beta 10.12. This beta is version 10.11. It's not clear whether there was a misunderstanding or whether Tesla initially planned to increment the version.

However, this is a completely new beta for all public testers and it appears to be packed with improvements.

The most notable improvements appear to be new vector-based lanes and reduced slowdowns. An example of the new vector-based lanes is below. In addition to clearer lane markings, it appears that the whole lane will also be highlighted in blue when the car starts to perform a lane change.

New vector lanes
New vector lanes
@MarkHalleyPhd/Twitter

This beta is expected to hit Canada for the first time according to Elon, but there are no signs yet of it going north of the border.

Tesla will likely monitor it for several days in the US before releasing it to our northern neighbor.

The complete FSD Beta release notes are below:

- Upgraded modeling of lane geometry from dense rasters ("bag of points") to an autoregressive decoder that directly predicts and connects "vector space" lanes point by point using a transformer neural network. This enables us to predict crossing lanes, allows computationally cheaper and less error prone post-processing, and paves the way for predicting many other signals and their relationships jointly and end-to-end.

- Use more accurate predictions of where vehicles are turning or merging to reduce unnecessary slowdowns for vehicles that will not cross our path.

- Improved right-of-way understanding if the map is inaccurate or the car cannot follow the navigation. In particular, modeling intersection extents is now entirely based on network predictions and no longer uses map-based heuristics.

- Improved the precision of VRU detections by 44.9%, dramatically reducing spurious false positive pedestrians and bicycles (especially around tar seams, skid marks, and rain drops). This was accomplished by increasing the data size of the next-gen autolabeler, training network parameters that were previously frozen, and modifying the network loss functions. We find that this decreases the incidence of VRU-related false slowdowns.

- Reduced the predicted velocity error of very close-by motorcycles, scooters, wheelchairs, and pedestrians by 63.6%. To do this, we introduced a new dataset of simulated adversarial high speed VRU interactions. This update improves autopilot control around fast-moving and cutting-in VRUs.

- Improved creeping profile with higher jerk when creeping starts and ends.

- Improved control for nearby obstacles by predicting continuous distance to static geometry with the general static obstacle network.

- Reduced vehicle "parked" attribute error rate by 17%, achieved by increasing the dataset size by 14%. Also improved brake light accuracy.

- Improved clear-to-go scenario velocity error by 5% and highway scenario velocity error by 10%, achieved by tuning loss function targeted at improving performance in difficult scenarios.

- Improved detection and control for open car doors.

- Improved smoothness through turns by using an optimization-based approach to decide which road lines are irrelevant for control given lateral and longitudinal acceleration and jerk limits as well as vehicle kinematics.

- Improved stability of the FSD Ul visualizations by optimizing ethernet data transfer pipeline by 15%.

- Improved recall for vehicles directly behind ego, and improved precision for vehicle detection network.

Release Notes Explained

Here is a great video that explains Tesla's technical release notes and what improvements you can find in this release.

In addition to the improvements in this FSD Beta, testers can also expect to find these other features that were added in the 2022.4 update.

Range Display Calibration for LFP batteries

If you have a SR+ with an LFP battery, then you'll also receive this feature that charges your car to 100% to help improve battery calibration. LFP batteries have very similar voltages from a low state of charge to a high state of charge. If the battery isn't regularly charged to 100%, it can be difficult for the vehicle to know its state of charge, which could cause some issues.

Cabin Camera

Tesla is collecting additional analytics from the cabin camera to help develop additional features. Tesla is asking you to opt-in to cabin camera analytics if you'd like to help develop new features.

There's no word on what these new features may be, but it could be just about anything, such as the ability to send you a notification if it detects an animal in your car and you forgot to turn on Dog Mode.

Car Colorizer

We're probably all familiar with this feature by now that allows you to alter the exterior color of your vehicle. The color you pick is used in the car's visualizations, car menus and in the Tesla app. You can also view a video of Tesla's Car Colorizer feature.

Audio Sources

The ability to disable certain audio sources comes back in 2022.4. If there are audio sources that you don't use, such as TIDAL, Spotify, or TuneIn, you can now disable them.

When an audio source is disabled, it won't appear in the More Apps menu or in the Sources dropdown.

Icons in the Status Bar

2022.4 was released quite a while ago, so it's easy for FSD Beta testers to forget everything that is in this release and why they should be excited.

Some icons are now returning to the car's top status bar, such as Driver Profiles (while in park) and the Sentry Mode icon.

Save Dashcam Clips

You can now more easily save dashcam clips if you have the Dashcam viewer in your launcher. Since the dashcam viewer can't be used while driving, the icon now has a dual purpose. If you tap it while in Drive, your car will save the last ten minutes of footage.

Regenerative Braking in Autopilot

Additional regenerative braking is now used in Autopilot, which will be especially useful in FSD. The vehicle previously used regenerative braking while on AP, but it will now apply it at lower speeds that better match how a driver would use regenerative braking.

Windshield Wiper Defrost

If you have a new Tesla that was built in the past few months, then it may have windshield wiper heaters. If it does, then this is the software update that enables it.

Nearby Superchargers

You can once again view nearby Superchargers in the same way you could in Tesla's v10 software. The Superchargers icon now appears on the far side just like it used to.

This FSD Beta release is an exciting one that includes many new features with the updated FSD Beta build and in the public 2022.4 release. You can also view the full 2022.4 release notes.

World’s Largest Tesla Supercharger: 168 Stalls, 100% Off-Grid, Powered by Sun and Battery Storage

By Karan Singh
Not a Tesla App

In just 8 months, Tesla has gone from breaking ground to delivering electrons at its most ambitious Supercharger project to date, just in time to be ready for the busy Fourth of July holiday weekend. Project Oasis, the world’s largest Supercharger site, is now partially open to customers for its first phase in Lost Hills, California.

What makes this remarkable is the speed of execution. In just eight months, Tesla has constructed a site that will eventually feature 168 stalls (84 stalls are now open), supported by 11 MW of solar power and 10 Megapacks of battery storage. That construction speed is pretty impressive, but what is even more impressive is how this new station operates and what it means for future Supercharging infrastructure.

Self-Sufficient Energy Oasis

Not a Tesla App

The first 84 stalls at Lost Hills are now open, and according to the Tesla Charging team, they are currently powered solely by the sun and operate off-grid.

This makes it more than just a new Supercharger site. It serves as a proof of concept for a new type of Supercharger. Unlike nearly every other charging site in the world, which draws power from local utilities, this station generates its own clean electricity from its massive solar array and stores it in its array of on-site Megapacks. 

Self-sufficient charging stations are something completely different than what we see today. They are highly resilient since they’re not reliant on the grid. That means that even if there is a local power outage, brownout, or blackout, one can always come to Lost Hills to Supercharge.

If you’ve got a Cybertruck, you could take advantage of the Cybertruck’s Powershare feature and charge up at Lost Hills to help keep your home powered during a blackout, utilizing the Cybertruck as a portable battery charger. Now that’s true independence and self-reliance.

The Future of Charging

Solar-powered Superchargers help avoid massive new loads on already stressed electrical grids, especially during peak afternoon and evening hours, when demand is the highest.

This is Tesla’s vision for the future of charging: a clean, fully closed-loop ecosystem that sustains itself. The sun’s energy is captured, stored, and delivered directly to vehicles on site at any time of day without relying on the electrical grid or fossil fuels.

Largest Supercharger in the World

This opening of 84 stalls is just the first phase of the project. Tesla says that the remaining stalls, as well as a new on-site lounge, are coming later this year. Once complete, the 168-stall site will be the largest Supercharger site in the world.

While the speed of building such a massive project in just eight months is a testament to Tesla’s execution, the true innovation is actually that self-sustainability. Let’s hope we see even more large, self-sufficient Supercharger sites across the world in the near future.

The future lounge
The future lounge
Not a Tesla App

Elon Musk Considers Solar Gigafactory in North America to Power AI Boom

By Karan Singh
Not a Tesla App

Elon Musk is once again seeking to expand Tesla’s vertical integration in the energy sector, this time focusing squarely on solar power. Following discussions on X that highlighted the massive gap in solar deployments between the US and China, Elon is now discussing the need for a Tesla Solar Gigafactory in the United States.

This potential move is driven by a specific catalyst: the exponential growth of AI is creating an insatiable demand for electricity. For Tesla and xAI, two of Elon’s companies betting their future on AI, building the power generation required is a strategic necessity.

A new factory wouldn’t just be about making panels; it would be about manufacturing the final missing piece in Tesla’s vertically integrated energy ecosystem.

Catching Up to China

The context for this renewed focus is pretty stark. In May, China reportedly added a staggering 93 gigawatts (GW) of solar power capacity. In contrast, the United States installed approximately 14 GW over the entire first quarter, roughly 20 times less than China.

The primary driver of this demand is the revolution in AI. Training ever-larger and smarter AI models involves operating vast data centers, which consume staggering amounts of power. Google, Amazon, and Microsoft have turned to small-scale nuclear reactors, with Microsoft petitioning to reopen the infamous Three Mile Island for its AI operations.

For Elon’s companies, whose future products like FSD, Optimus, and Grok are built on a foundation of real-world AI, securing a massive and sustainable energy supply isn’t a side quest. It is part of the main mission, especially in conjunction with grid-scale storage, such as Megapacks and Powerwalls. You can’t power a world of autonomous robots without a world of abundant, clean energy.

The Tesla Ecosystem

A US solar gigafactory would be the final, logical step in completing Tesla’s energy hardware ecosystem. While Tesla already manufactures some solar panels and the Tesla solar roof, the scale is too minuscule to matter. 

By mass-producing its own panels, while also increasing Solar Roof production, Tesla would become a true one-stop shop for all things green energy. This would allow the company to supply its own large-scale projects, like the massive solar array for Project Oasis - the world’s largest Supercharger site.

It would also enable more complete residential packages, like the Giga-Small Haus concept home, combining Tesla-made panels and roofs with a Powerwall 3. This level of vertical integration would give Tesla complete control over the technology, cost, and supply of every major component in its energy ecosystem, from generation to storage to mobility.

Building a new Solar Gigafactory is about much more than just simply producing solar panels. It’s a requirement to power Tesla’s future products and make solar panels accessible to everyone.

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