Connect with us

News

The Model Y is an understated Trojan Horse for Tesla’s manufacturing ambitions

Published

on

The launch of the Tesla Model Y is, in several ways, an understated and undramatic event. There were no surprise vehicles at the end of the crossover’s presentation, nor were there any announcements about the number of pre-orders the electric car maker received for the seven-seater. Tesla has been pretty quiet about the Model Y since, too, as updates on the crossover have mostly come through insider reports and patent applications from the company. 

It is through these patent applications that one could see the potential of the Model Y to revolutionize Tesla’s overall manufacturing operations. A look at two patents that are tailor-fit for the Model Y, for example, suggests that Tesla will be adopting a far more innovative production process for the vehicle compared to its past electric cars, including the mass-market Model 3 sedan, a vehicle that is essentially carrying Tesla into its current transition into a mainstream car manufacturer. With this in mind, the Model Y could even be described as a Trojan Horse of sorts, carrying the electric car maker’s innovations (mostly) under the radar.

A patent for Tesla’s rigid wiring system. (Credit: US Patent Office)

One of these innovations is a rigid wiring system that will allow Tesla to drastically reduce the wiring of the Model Y compared to its older stablemates. Using the company’s design outlined in its patent, Tesla is expected to use only around 100 meters of wiring for the Model Y, far less than the 1.5 km of cabling used in the Model 3. Such a design also aids the company’s automation initiatives, as the rigid wiring harness will be easier to install by the company’s robots. 

Another, even more notable innovation lies in a patent for a “Multi-Directional Unibody Casting Machine for a Vehicle Frame and Associated Methods” that seems to have been teased by company executives in the past. Elon Musk has mentioned that the company’s new casting machine will have the capability to cast pretty much the entire body of a vehicle in one piece, essentially eliminating the need for numerous welds across the body. “When we get the big casting machine, it’ll go from 70 parts to 1 with a significant reduction in capital expenditure on all the robots to put those parts together,” Musk said. 

A patent for Tesla’s giant casting machine. (Credit: US Patent Office)

These new innovations outlined in Tesla’s patent applications hint at the Model Y being the company’s first vehicle to adopt such designs in its wiring and casting. This is great news for the company’s upcoming vehicles like the Tesla Pickup Truck, the Semi, and the next-generation Roadster, all of which will likely benefit from these optimizations. More importantly, this is also great news for the Model 3. 

Tesla’s struggles with the Model 3 ramp in the United States have been well-documented, as the company had to abandon a widely-automated approach to producing the vehicle to one that was more balanced between humans and machines. With the Model Y, Tesla could essentially start anew and experiment with more ambitious and manufacturing models once more. Fortunately for the Model 3, the vehicle shares about 75% of its parts with the Model Y, which means that production improvements that work for the crossover would likely be applicable for the midsize sedan as well. 

The Tesla Model Y’s manufacturing revolution might begin sooner than expected, especially with the start of production at the company’s Gigafactory 3 site in Shanghai. Gigafactory 3 is designed to produce affordable versions of the Model 3 and Model Y for the Chinese market, suggesting that the facility will be optimized for speed and volume. It would then be interesting to see how Tesla produces the Model 3 (and later, the Model Y) on the site, as it could provide a glimpse at how much the company has improved based on lessons learned from the electric sedan’s ramp in the United States.

H/T Long Term Tips.

Advertisement
-

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

Advertisement
Comments

News

Tesla ships ‘spooky’ Halloween Mode with creepy and fun features

Published

on

Credit: Tesla

Tesla is now starting to ship a “Halloween Mode” that is filled with some creepy and fun features; the company says, “This spooky update turns your Tesla into a haunted house on wheels.”

The update is just the latest in a series of updates that Tesla typically ships out in a seasonal fashion. The Spring and Summer Updates provided some fun novelty items while also packing some cool features that are actually useful for the ownership experience.

This one seems to be more fun-forward, and there are not any updates to the Full Self-Driving suite or overall operation of the vehicle. Instead, these novelty features are geared toward getting you in the mood for the Fall and Halloween.

New Ghost Costume on Car Avatar

Driver Visualization will now show your vehicle as a ghost, as an all-white sheet is draped over the vehicle. Pedestrians are turned into mummies or skeletons, and other vehicles are all a spooky green:

Credit: Tesla

Additionally, the Park Scene with your Tesla now displays that ghost costume draped over your vehicle in the foreground of a scary backdrop with Jack-o-Lanterns and a haunted house:

Credit: Tesla

Trick or Treat Mode

Trick or Treat Mode will enable the vehicle to play spooky sounds and flicker the lights as visitors approach. This might be a nice touch for when you’re handing out candy to kids on Halloween Night.

Other Features

Tesla is also adding a new Light Show, new Wrap Options, and a new Lock Sound with this update.

Credit: Tesla

Additionally, Photobooth has a new Halloween option:

Credit: Tesla

You will also be able to speak remotely through the app and transmit your voice to people outside, which is not a new feature, but the car will say it in a voice of its own, which is a new feature with that bullhorn-like feature.

Continue Reading

Investor's Corner

SpaceX reveals how its 1 Million AI satellite network will work and prevent space collisions

SpaceX reveals plans for one million Starmind AI satellites and calls out operators hiding maneuvers.

Published

on

By

Concept rendering of SpaceX Starmind constellation via Grok
Concept rendering of SpaceX Starmind constellation via Grok

SpaceX has put the largest satellite count it has ever published into writing, and it says that plan only works if every other operator in orbit starts sharing what it knows.

In a new Space Safety page highlighted Tuesday morning by Sawyer Merritt on X, SpaceX said it “plans to operate up to 100,000 Starlink satellites and up to 1 million Starmind AI satellites to meet the growing demand for broadband and supercompute.” Starlink has a little over 11,000 satellites in orbit today, so the target alone implies roughly a ninefold expansion of the broadband network.

Starmind is SpaceX’s orbital AI compute constellation. Elon Musk confirmed the Starmind name in June after an xAI trademark filing surfaced, and in August SpaceX said it was working with Nvidia on the compute payload. The FCC accepted the filing for up to one million satellites back in February.

FCC accepts SpaceX filing for 1 million orbital data center plan

SpaceX also released a new render of what a full Starmind constellation could look like. Alongside it, SpaceX VP Michael Nicolls explained why the satellites will not operate on their own. “We need to operate clusters of satellites in tight formation to get enough coherent compute to run AI models efficiently,” Nicolls said. “A cluster will be 10-ish satellites connected with 10 terabits or so of bandwidth between them, and interconnected to the broader constellation.”

That is the most specific detail SpaceX has given on how Starmind will be built. Instead of a million independent servers, the network would work as tightly packed groups of about 10 satellites acting as one compute unit, with Starlink’s laser links carrying results back to Earth.


Packing satellites that close together, at that scale, makes collision avoidance the central problem, and most of the Space Safety page is aimed at other operators. SpaceX said Starlink encountered collision risks with about 650 unique maneuvering third party satellites in 2026, and only about half of them shared data. Over six months, Starlink recorded roughly 164,000 more collision risks where the closest approach came within four hours of an unannounced maneuver.

Some operators keep maneuver plans private over proprietary concerns, while others cannot get government permission to share them. SpaceX called those policies “counterproductive,” saying they “largely only serve to create preventable collision risk between satellites.” Starlink is also offering a free ephemeris sharing and screening platform that returns risk results within a minute, backed by its Stargaze network of 30,000 optical sensors.

The push comes as the Starmind application draws opposition from astronomers and environmental groups. In a September filing with the FCC, SpaceX said each Starmind satellite could weigh up to 4,000 kg, nearly seven times the mass of a Starlink V2 Mini. Musk has brushed off crowding concerns before, telling viewers in June that “space is enormous” and that SpaceX already knows how to run very large constellations safely.

SpaceX’s Starmind page says its Gigasat factory in Bastrop, Texas, is designed to produce AI satellites at scale, with deployment of thousands of units starting as soon as late 2027.

Continue Reading

News

Five things that are keeping Tesla Full Self-Driving supervised

Published

on

Credit: Tesla

Tesla Full Self-Driving is really good. I have used it for over 76 percent of my driving since FSD v14 launched around this time last year, equating to about 76 percent of my miles using the suite. It’s truly the only way I prefer to travel, but admittedly I save some of the more fun drives for myself.

Even with all of the great things it has done for me, including saving me from being involved in an accident, there are still a handful of things that it needs to improve on. These issues recur from update to update, and while there have been some improvements, they still give me reasons to either soft or hard intervene.

A soft intervention means an adjustment that is needed without disengaging the suite, like manually using a turn signal to change lanes while the car still operates on FSD. What I’d consider to be a “hard intervention” is anything that requires me to disengage the suite altogether, like missing a turn or performing a maneuver I’m uncomfortable with. Of course, some hard interventions will be subjective.

Here are the five things I’d like to see Tesla really focus on through the final versions of v14 and hope to see completely improved with v15.

Speed Limit Recognition and Adjustment

There are entirely too many instances of FSD traveling at a speed that is just totally outrageous. While some of these events can occur on Hurry Mode, I’ve even had issues with it on Standard from time to time, and despite wanting more aggressive maneuvers or a slight bit of urgency, I don’t want to worry about getting a ticket while doing it.

The two areas I notice it the most are in school zones and on local roads. When a Speed Limit changes from 45 to 35, FSD does not always slow down in a way that would appease local law enforcement. On Hurry, 52-55 is pretty standard for a rate of travel in a 45 MPH zone. When it changes to 35, FSD shows zero urgency to slow down to an appropriate speed.

School Zones have been a true pain point, and as recently as last week, I had an issue with it:

Realistically, most Speed Limit issues are a soft intervention, as I simply scroll into a slower Speed Profile to get the car to slow down. School Zones are a hard intervention, as they require me to completely take over and travel at the posted 15 MPH limit. Even on Sloth, it simply does not get down to a low enough speed.

Parking

Parking is one thing that has really improved over time, but there are still some pretty considerable hoops Tesla needs to jump through to get it to a point where it can be unsupervised.

Parking preferences seem to be where a lot of these issues will be resolved, as most of my complaints come from the fact that the place FSD chooses to park are usually not where I would personally choose to park. This morning, for example, when I arrived at the gym, FSD chose to park next to a vehicle that was parked with its two tires in the spot that FSD picked.

There were three spots in between that car and the nearest car, so FSD could have chosen the spot that would have given a one-spot buffer between the two vehicles. In a parking lot full of empty spots, don’t be that guy who parks next to a car.

Generally, parking performance is vastly improved from where it was a year ago; I rarely am adjusting how it pulls or backs into a spot on v14.3.10, but in earlier versions, I definitely had my problems. It’s gotten really good since, and this version has been the best in terms of parking performance. It’s more about the places FSD choose to park, and not necessarily the parking itself.

There are also no options or map data to allow you to choose a charger at a place like a grocery store if it offers charging. These are things that are a bit more complex, but they will be needed for unsupervised FSD operation.

Navigation

Navigation was always going to be on this list, simply because it is one of the most inconsistent and mind-boggling things about FSD. Even after a year of intervening, sending voice notes, and overriding decisions, FSD still tries to take me out of my neighborhood the wrong way. You cannot turn left out of my neighborhood’s main entrance and exit, only right. Navigation still prompts a left turn out of my neighborhood’s main entrance and exit, instead of going around the neighborhood and exiting where a left turn is legal.

Tesla rolled out Preferred Routes with the Summer Update, and this has resolved some of the issues. I also found my own personal workaround:

Some of the more mind-boggling things that FSD used to do with Navigation have been remedied, but it is still a frequent complaint for me and many other owners. I’d just like to see it adopt those preferred routes more frequently and maybe learn them a little faster.

Certain Highway Behaviors

Highway travel is the most consistent and perhaps FSD’s best use case. There is nothing better than having FSD handle busy highway traffic or just long, monotonous, and boring drives. I love to use it for my trips to the Flight 93 Memorial where I volunteer. When I drove manually, I chose to get a hotel and stay overnight because it’s about a 2.5 hour drive. FSD lets me make the drive, put in a volunteering shift, and drive home, without much fatigue. I have found that this is where FSD is most valuable for me, personally.

However, there are a few things FSD does on the highway that are just weird.

One thing I’ve had issues with as of late is that there will be times when I’m about a mile from my exit, the car is in the left lane and is traveling faster than the traffic in the cruising late. Instead of completing a pass and then getting over with no traffic ahead, the car will sometimes drastically and suddenly slow down, switch to the slow lane, and get behind a vehicle — all with a mile until the exit. On average, I’ll have around one minute from the time I get to my exit if it’s a mile away, because in most cases, I’m traveling somewhere around 60 MPH on the highway.

There is no reason to not complete that last pass, then get into the right lane, and have an unobstructed path to the exit. This is one of the more strange behaviors I’ve seen it do, and it really does feel like a bug. Here’s an example of it from FSD v14.3.7:

I ended up overriding the turn signal and using the accelerator to nudge the car to do what I wanted it to do. There was no reason to get in the left lane and add to the congestion in that lane.

Another thing that FSD does frequently is camps in the left lane, especially on Hurry. Cruising in the passing lane is illegal in Pennsylvania, and I know it is not a crime to do that everywhere. However, it is here, and I really wish the car was a little quicker to get over in the left lane when it’s cruising.

Here’s a pretty drastic example I had just a couple weeks back:

Recognizing Drastic Changes in Road Condition

I think anyone who has ever used FSD knows that potholes are a huge issue, but so are large bumps or sudden changes in road condition. At the intersection of Kreutz Creek Rd. and Rt. 462 in Hellam, PA the roads are nearly set up as a ramp, and going over it at a speed of over 35 MPH can send your head into the glass roof, your butt off your seat, and a brace for the sudden thud that is inevitably coming when you finally touch back down again.

You can see here I tried to change Speed Profiles quickly, but I did it a tad too late:

There are other roads in my area that should not be taken at even the posted Speed Limit because of the damage it could do to your car. Here’s another, where I disengaged FSD altogether:

The recognition of these bumps is so crucial for two main reasons: they can cause injury, and they can cause damage to the car. These are reasons why the suite is supervised and drivers should remain attentive. I could not imagine going over that bump at an excessive speed if I had back issues, or if I were older.

Potholes are rarely recognized and usually require a lead car to avoid them. I had FSD use a lead car to avoid a pretty sizeable manhole cover a few weeks back:

Tesla says that there are improvements coming for potholes, so hopefully that means these bumps will also be recognized consistently.

Continue Reading