Tesla had it's Q3 earnings call and as usual there were some interesting tidbits to come out of this call outside of Tesla's financial information.
Manufacturing
Tesla's current goal is to manufacture over a million vehicles in a given year. Toward the end of Q3 they reached an annualized production rate that exceeded 1 million. If Tesla can continue the trend then they will be able to achieve their goal of a million vehicles produced in a year. This does not account for its Texas and Berlin Giga factories which will only help increase their manufacturing rates.
The goal is to get Tesla producing millions of vehicles per year with the addition of Texas and Berlin Giga factories and longer-term Tesla's goal is to produce 20 million vehicles yearly.
The new Model X has started production and is ramping up.
4680 Cell Batteries
The future for Tesla is its 4680 structural battery packs. Tesla said that they're testing the batteries and aim to have testing completed this year, although there could be some unknowns. Tesla expects to have the first vehicles with 4680 batteries early next year.
This is great news for Tesla as the 4680 cells offer improved battery density and other efficiencies while also reducing the weight of the vehicle. Having 4680 cells available early next year is a pleasant surprise as most were not expecting Tesla to be as far along as they are regarding these batteries.
$25k Tesla
Tesla is not looking to add any new vehicles to their production lines right now. There is a large Tesla backlog that is continuing to grow so the focus right now is on manufacturing current vehicles and meeting demand. The next vehicles produced will be the Cybertruck, new Roadster and the Tesla Semi.
Best Selling Vehicles
Tesla announced that the Model 3 is currently the best selling premium sedan worldwide. The Model Y is poised to be the best selling vehicle in the world.
Texas and Berlin Giga Factories
Tesla's new factories are nearing completion. They are close to starting production of vehicles.
Although the first produced vehicles for these factories will be this year, we should not expect any deliveries from these new factories until 2022.
The hardest work is ahead and ramping these factories up to 5k and then 10k vehicles. They will start off by producing current vehicles and Texas Gigafactory will then add on the Cybertruck.
Both Texas and Giga factories were built to have room to expand.
Safety Score and Tesla Insurance
The Safety Score started off as a way to produce insurance in California. Tesla has found that providing their own insurance based on actual driver metrics is a great way to lower the overall cost of a Tesla.
Tesla introduced Tesla Insurance into Texas and is seeing good growth there. Their goal is to offer Tesla Insurance in every market that Tesla sells in. It'll be a slow process since each state needs to be approved individually.
The Safety Score has been working really well and it's something Tesla wants to continue developing and improving.
There are 150,000 cars that are using Safety Score right now for the FSD Beta. They have racked up 100 million miles of driving already in the last month.
Tesla is also noticing huge decreases in the probability of an accident. A customer who uses the Safety Score has a 30% lower chance of being involved in an accident.
Super Chargers
Tesla continues to view Superchargers as a necessity and will continue to rapidly expand them. The Supercharging network has doubled in the last 18 months and Tesla plans to triple it over the next couple of years.
Sometimes stations can become clogged but Tesla is actively working on improving congestions beyond just increasing the amount of chargers available.
Tesla vehicles are becoming smarter when choosing where and when to charge. When your car chooses to stop at a Supercharger in order for you to get to your destination, it will now take into account the real time usage of nearby Superchargers so that it can navigate you to one with lower usage.
Tesla has also been rolling out updates to reduce the amount of time each car needs to spend at a Supercharger. This includes warming up the batteries when you're on-route to a Supercharger which will let you charge faster than if your battery was colder.
The car is also better at determining exactly how much you need to charge before you can reach your destination which reduces customer wait time and congestion of the Supercharger as well.
Tesla continues to roll out more v3, 250Kw chargers. These chargers when coupled with some of Tesla's newest batteries allow much faster charging, allowing cars to spend last time at Superchargers.
FSD Subscription
Tesla says that it's still early to tell how well their FSD subscription is doing but they have not noticed a decrease in the buy rate for the FSD package as that remains a better value.
However they have noticed that more owners are willing to try out FSD by buying a subscription, which introduces them to what is available with FSD.
As Tesla's FSD matures and the FSD beta comes more widely available, Tesla expects additional revenue to come from the FSD subscription.
Ability to Transfer FSD to Another Vehicle
Tesla does not plan to offer this, but what they did say is that if you trade your car to Tesla they will give you more for a car that has FSD when compared to one that doesn't. That value can then be applied to a new Tesla.
Tesla is viewing this as a sort of transfer of FSD since you won't lose everything you paid for and could use that additional value to be applied to the next vehicle's FSD package.
Cybertruck
The Cybertruck is on track to launch late next year. There are various alpha trucks being tested now with various features. Tesla mentioned that the alphas have been spotted on social media. The Cybertruck we saw recently with side mirrors and slight modifications appears to be one of these alphas.
Tesla confirmed again that the Cybertruck will have rear steering. Tesla is testing these various alphas to mature the design of the truck. There are a number of smaller or less visible improvements that have been made to the truck.
Why Service is Slow
Tesla is aware that service has been bogged down and slower than normal. They attribute this to the sudden return to normalcy, where demand for service has increased due to many customers holding off on services during the pandemic. Parts are sometimes slower to get as well due to the global shortage.
Tesla expects both of these issues to clear up over time.
They reiterated that the best service is no service. Tesla continues to increase build quality and provide pre-emptive warnings for service so that customers have a sudden need for service. For example, the car will let you know if your 12-volt battery is providing lower voltages than expected so that you can have it looked at before it becomes critical.
The Super Manifold is Tesla’s solution to reducing the complexity of a heat pump system for an EV. Tesla showed off its engineering chops back with the original Model Y in 2019, where it introduced a new 8-way valve (the Octovalve) and a new heat pump alongside the uniquely designed Super Manifold to improve efficiency.
Now, Tesla is launching an improved version with the refreshed Model Y - the Super Manifold V2. We got to hear about it thanks to Sandy Munro’s interview with Tesla’s Lars Moravy (Vice President of Vehicle Engineering) and Franz Von Holzhausen (Chief of Vehicle Design). You can watch the video further below.
What Is The Super Manifold?
The Super Manifold (get it, Superman?), is an all-in-one package that brings in all the components of a heat pump system into one component. The Super Manifold packs all the refrigerant and coolant components around a 2-layer PCB (printed circuit board).
This Super Manifold would normally have 15 or 20 separate components, but Tesla managed to integrate them all into one nice package. That presented Tesla with a new challenge: how to integrate a heat pump—capable of both heating and cooling—into a single, efficient platform?
Several years ago, Tesla designed the Octovalve. It combines inlets and outlets and can variably change between heating or cooling on the fly - without needing to be plumbed in different directions. This is especially important for EVs, which may need to heat the battery with the waste heat generated from the motors or the heat pump while also cooling the cabin - or vice versa.
Original Super Manifold V1.1
Tesla launched the Super Manifold V1.1 back in 2022, and it provided some minor improvements to the waste heat processing of the heat exchange system. It also tightened up the Octovalve, preventing the leakage of oils into the HVAC loop that could cause it to freeze at extremely low temperatures.
Tesla has been using the V1.1 for several years now, and it has really solved the vast majority of issues with the heat pump system that many older Model Ys experienced.
Super Manifold V2 Coming Soon
Now, Tesla is introducing the Super Manifold V2 in the new Model Y. It will improve the overall cooling capacity provided by the original Super Manifold, but unfortunately, not every single new Model Y will come with it equipped. Tesla will be introducing it slowly across the lineup and at different rates at different factories, depending on part availability.
Eventually, the Super Manifold V2 will also make its way to other vehicles, potentially including the upcoming refresh for the Model S and Model X, but initially, it’ll be exclusive to the new Model Y. Tesla expects to have the new manifold in every new Model Y later this year.
If you’re interested in checking out the whole video, we’ve got it for you below.
Mark Rober, of glitter bomb package fame, recently released a video titled Can You Fool A Self-Driving Car? (posted below). Of course, the vehicle featured in the video was none other than a Tesla - but there’s a lot wrong with this video that we’d like to discuss.
We did some digging and let the last couple of days play out before making our case. Mark Rober’s Wile E. Coyote video is fatally flawed.
The Premise
Mark Rober wanted to prove whether or not it was possible to fool a self-driving vehicle, using various test scenarios. These included a wall painted to look like a road, low-lying fog, mannequins, hurricane-force rain, and bright beams.
All of these individual “tests” had their own issues - not least because Mark didn’t adhere to any sort of testing methodology, but because he was looking for a result - and edited his tests until he was sure of it.
Interestingly, many folks on X were quick to spot that Mark had been previously sponsored by Google to use a Pixel phone - but was using an iPhone to record within the vehicle - which he had edited to look like a Pixel phone for some reason. This, alongside other poor edits and cuts, led many, including us, to believe that Mark’s testing was edited and flawed.
Flaw 1: Autopilot, Not FSD
Let’s take a look at the first flaw. Mark tested Autopilot - not FSD. Autopilot is a driving aid for lane centering and speed control - and is not the least bit autonomous. It cannot take evasive maneuvers outside the lane it is in, but it can use the full stable of Tesla’s extensive features, including Automatic Emergency Braking, Forward Collision Warnings, Blind Spot Collision Warnings, and Lane Departure Avoidance.
On the other hand, FSD is allowed and capable of departing the lane to avoid a collision. That means that even if Autopilot tried to stop and was unable to, it would still impact whatever obstacle was in front of it - unlike FSD.
As we continue with the FSD argument - remember that Autopilot is running on a 5-year-old software stack that hasn’t seen updates. Sadly, this is the reality of Tesla not updating the Autopilot stack for quite some time. It seems likely that they’ll eventually bring a trimmed-down version of FSD to replace Autopilot, but that hasn’t happened yet.
Mark later admitted that he used Autopilot rather than FSD because “You cannot engage FSD without putting in a destination,” which is also incorrect. It is possible to engage FSD without a destination, but FSD chooses its own route. Where it goes isn’t within your control until you select a destination, but it tends to navigate through roads in a generally forward direction.
The whole situation, from not having FSD on the vehicle to not knowing you can activate FSD without a destination, suggests Mark is rather unfamiliar with FSD and likely has limited exposure to the feature.
Let’s keep in mind that FSD costs $99 for a single month, so there’s no excuse for him not using it in this video.
Flaw 2: Cancelling AP and Pushing Pedals
Many people on X also followed up with reports that Mark was pushing the pedals or pulling on the steering wheel. When you tap on the brake pedal or pull or jerk the steering wheel too much, Autopilot will disengage. For some reason, during each of his “tests,” Mark closely held the steering wheel of the vehicle.
This comes off as rather odd - at the extremely short distances he was enabling AP at, there wouldn’t be enough time for a wheel nag or takeover warning required. In addition, we can visibly see him pulling the steering wheel before “impact” in multiple tests.
Over on X, techAU breaks it down excellently on a per-test basis. Mark did not engage AP in several tests, and he potentially used the accelerator pedal during the first test - which means that Automatic Emergency Braking is overridden. In another test, Mark admitted to using the pedals.
Flaw 3: Luminar Sponsored
This video was potentially sponsored by a LiDAR manufacturer - Luminar. Although Mark says that this isn’t the case. Interestingly, Luminar makes LiDAR rigs for Tesla - who uses them to test ground truth accuracy for FSD. Just as interesting, Luminar’s Earnings Call was also coming up at the time of the video’s posting.
Luminar had linked the video at the top of their homepage but has since taken it down. While Mark did not admit to being sponsored by Luminar, there appear to be more distinct conflicts of interest, as Mark’s charity foundation has received donations from Luminar’s CEO.
Given the positivity of the results for Luminar, it seems that the video had been well-designed and well-timed to take advantage of the current wave of negativity against Tesla, while also driving up Luminar’s stock.
Flaw 4: Vision-based Depth Estimation
The next flaw to address is the fact that humans and machines can judge depth using vision. On X, user Abdou ran the “invisible wall” through a monocular depth estimation model (DepthAnythingV2) - one that uses a single image with a single angle. This fairly simplified model can estimate the distance and depth of items inside an image - and it was able to differentiate the fake wall from its surroundings easily.
Tesla’s FSD uses a far more advanced multi-angle, multi-image tool that stitches together and creates a 3D model of the environment around it and then analyzes the result for decision-making and prediction. Tesla’s more refined and complex model would be far more able to easily detect such an obstacle - and these innovations are far more recent than the 5-year-old Autopilot stack.
While detecting distances is more difficult in a single image, once you have multiple images, such as in a video feed, you can more easily decipher between objects and determine distances by tracking the size of each pixel as the object approaches. Essentially, if all pixels are growing at a constant rate, then that means it’s a flat object — like a wall.
Case in Point: Chinese FSD Testers
To make the case stronger - some Chinese FSD testers took to the streets and put up a semi-transparent sheet - which the vehicle refused to drive through or drive near. It would immediately attempt to maneuver away each time the test was engaged - and refused to advance with a pedestrian standing in the road.
Would FSD hit a transparent film wall? This test showed it just avoids it.
Thanks to Douyin and Aaron Li for putting this together, as it makes an excellent basic example of how FSD would handle such a situation in real life.
Flaw 5: The Follow-Up Video and Interview
Following the community backlash, Mark released a video on X, hoping to resolve the community’s concerns. However, this also backfired. It turned out Mark’s second video was of an entirely different take than the one in the original video - this was at a different speed, angle, and time of initiation.
Mark then followed up with an interview with Philip DeFranco (below), where he said that there were multiple takes and that he used Autopilot because he didn’t know that FSD could be engaged without a destination. He also answered here that Luminar supposedly did not pay him for the video - even with their big showing as the “leader in LiDAR technology” throughout the video.
Putting It All Together
Overall, Mark’s video was rather duplicitous - he recorded multiple takes to get what he needed, prevented Tesla’s software from functioning properly by intervening, and used an outdated feature set that isn’t FSD - like his video is titled.
Upcoming Videos
Several other video creators are already working to replicate what Mark “tried” to test in this video.
To get a complete picture, we need to see unedited takes, even if they’re included at the end of the video. The full vehicle specifications should also be disclosed. Additionally, the test should be conducted using Tesla’s latest hardware and software—specifically, an HW4 vehicle running FSD v13.2.8.
In Mark’s video, Autopilot was engaged just seconds before impact. However, for a proper evaluation, FSD should be activated much earlier, allowing it time to react and, if capable, stop before hitting the wall.
A wave of new videos is likely on the way—stay tuned, and we’ll be sure to cover the best ones.
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