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Tesla’s marketing strategies in China could address the negative narrative in the US

(Photo: Tesla)

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Over the course of the massive roller coaster ride that was Tesla’s first and second quarters this year, it has become particularly evident that the electric car maker is dealing with a lot of misinformation. After the first quarter’s lower-than-expected results, for example, Tesla faced multiple narratives suggesting that the demand for the company’s vehicles was fast declining, and that its growth story was dead. It was not until Tesla revealed its higher-than-expected delivery and production numbers in the second quarter that the narrative surrounding the company shifted a little bit for the better.

Being one of the most shorted companies in the market, Tesla is no stranger to misinformation campaigns. The company’s vehicles consistently rank high with safety agencies, yet the idea that the Model 3, S, and X are dangerous and catch fire all the time continues to persist. Tesla’s quarterly safety reports have consistently shown that fewer accidents happen when Autopilot is activated, but the driver-assist system is perceived as dangerous by a notable demographic of would-be car buyers nonetheless — and these are but the tip of the iceberg.

One of the most striking portions of Tesla’s 2019 Annual Shareholder Meeting last month involved a number of retail investors brainstorming solutions to address the alarming amount of misinformation surrounding the company. Responding to the concerned shareholders, Elon Musk admitted that he is at a little bit of a loss when it comes to battling the negativity surrounding Tesla, though he expressed his dislike for advertising campaigns that are deceptive to consumers. Nevertheless, considering that the Tesla Model 3 is now breaking into a market that is larger than it has ever dealt with before, it would be wise for the electric car maker to find a solid, subtle strategy that allows it to reach a wider audience, while shifting the narrative to a more positive direction in the process.

(Photo: Tesla)

What is pretty remarkable is that Tesla does not need to look far to find a marketing strategy that works without being deceptive. Over in China, there is a company that has shown a notable degree of cleverness with its marketing efforts, utilizing creative campaigns that help improve the perception of the public to its brand. That company is Tesla.

Tesla has been around in China since 2014, when it started delivering the Model S to the region. For the most part, Tesla has competed much like a niche carmaker in the country, with the Model S and Model X being high-priced premium vehicles that are, in some way, considered as status symbols for the wealthy. This is changing with the arrival of the Model 3, as the electric sedan’s lower price opens up the Tesla ecosystem to a far broader demographic. The buildout of Gigafactory 3 in Shanghai, which will be producing locally-made Model 3 and Model Y, will make Tesla’s vehicles even more accessible to the mainstream market in the near future.

With Model 3 deliveries already underway and with Gigafactory 3’s buildout progressing faster than expected, it is pertinent for Tesla to ensure that the company is well marketed for Chinese consumers. This is where things get particularly interesting, since Tesla has been conducting a subtle, clever, and likely effective marketing campaign for the Chinese market as of late. Immediately noticeable is the care that the company has taken to respect the country’s culture and traditions, as shown in the tastefully-designed cards Tesla sent out during last month’s Dragon Boat Festival, and the reviewers that the electric car maker released for high school students in the days leading up to the national college examination. These were simple gestures, but they showed that Tesla is a company that is respectful and grounded.

Other marketing campaigns that have raised Tesla’s visibility in the Chinese market have been equally tasteful. Just recently, Tesla and QQ Music, a popular music streaming service in the country, held a series of “Music Parties” in key cities. These were hip events that were aimed at the younger demographic, many of whom are or will be looking to buy their first vehicle in the near future. The company has also launched a Tesla Performance Driving School, which involves the company hiring professional drivers to teach Model 3 owners how to get the most fun out of their vehicles. This program promotes the capabilities of the Model 3 Performance, while giving the impression that Tesla is a responsible company that encourages high-speed driving in safe, regulated environments.

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Also notable were Tesla-organized road trips, which are extended journeys over scenic routes that are aimed at promoting the company’s vehicles and the convenience of the Supercharger Network. Online, Tesla’s active marketing strategies in China are quite impressive as well, as evidenced by the spread of tutorials featuring its vehicles and their features. These pages, one which could be accessed here, feature clear guidelines about Autopilot’s proper utilization, its features, its limitations, and the responsibilities of the driver while the system is in use.

When it comes to battling misinformation, the best strategy is always to provide the right information. To shift a subjectively negative narrative, it is best to foster an objectively positive narrative. Contrary to Elon Musk’s statements during the Annual Shareholder Meeting, it appears that Tesla already has a pretty good strategy that has the potential to address, at least to some degree, the misconceptions and misinformation surrounding the company in the United States. Granted, Tesla currently enjoys widespread support from the Chinese government, and the United States is a far more challenging market than China, but considering what’s at stake, these marketing efforts might very well be worth a try.

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.

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

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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.

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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.

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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.

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Five things that are keeping Tesla Full Self-Driving supervised

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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.

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