Tesla owners are no stranger to aftermarket modifications. Whether they are performance-based or cosmetic, owners of the electric vehicles are always looking for ways to set their cars apart from the others. While the cosmetic modifications are usually pretty simple because they only change the appearance of a vehicle, the performance adjustments are a bit more complicated because they completely revise the way the system operates. Tesla decided to put a stop to the performance revisions altogether by releasing a software update that would inhibit the simple plug-in systems from functioning correctly.
Thinking about it, it reminded me of a previous newsletter that I wrote a few months ago. I talked about how Tesla was blocking salvaged vehicles from Supercharging in an attempt to make them less appealing to those who were interested in buying them and fixing them up for a discounted price. While it was a great project for some people, Tesla had to realize that salvaged vehicles are rarely fixed “perfectly” and that they usually have some small issues even after they are deemed to be functional. Tesla had to think about themselves first, and for a good reason. If someone were to crash a salvaged Tesla that was not wholly “fixed,” it would be blamed on them and not on the person who attempted to repair the vehicle. The headlines would blame the company, and it would add to a long list of misunderstandings with Tesla’s cars. It was merely smarter for them to try and make the vehicles less appealing through no Supercharging.
Tesla, when you think about it, really had to do the same thing with these aftermarket upgrades. While the company released a $2,000 Acceleration Boost for the Model 3 a few months back, they have ultimate control over what the vehicle’s new capabilities are. They decide how much extra horsepower to give the car, and how much speed the car should be capable of. This puts the risk into the company’s hands as much as the driver’s hands.
If a third-party company comes along and decides to manufacture a simple plug-in that will take the performance of a Tesla to new heights, it is sure to attract some buyers. Owners of the Performance variants of the car are surely going to be more interested in upping the already lightning-fast speeds the vehicle is capable of. While this is all good and fun for the owners, Tesla, as a company, assumes a lot of risks, and it is only reasonable to think that stopping it is the best strategy.
Think about a scenario here: Imagine a Tesla Model 3 Performance owner deciding that what their car is capable of is not enough anymore. They decide to go online and purchase a plug-in for their Model 3 that will increase acceleration and top speed, and they choose to put it to the test one evening. While traveling at speeds over 130 MPH, the driver loses control of the car and crashes into another vehicle, hurting someone in the car.
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The first thing that is synonymous with Teslas and car accidents is the overwhelming flood of people who immediately think the car was on Autopilot. Mainstream media outlets will talk about how the car could have been traveling on Autopilot and TSLAQ will immediately eat it up without any confirmation. The NHTSA would be the only agency that would be able to tell if the car was traveling on Autopilot through an investigation. However, that could take days, weeks, or even months to happen.
Then, you’d have some people complaining about Tesla’s performance standards, and why some of their cars equip unnecessary amounts of speed and acceleration. Not that it is anyone’s business, but when someone buys a car because it is fast, they more than likely know that they are putting themselves at risk, especially if they chose to drive it quickly. This argument would more than likely be small and not based off of much logic, to begin with, because fast cars exist everywhere and every car company makes them in some form or another.
However, Tesla would have to deal with the issues and speculation that would suggest that their cars are too fast for the owner’s good. The company is already under a microscope because every time a Tesla is in an accident, it seems like someone somewhere is talking about it.
These aftermarket plug-ins are also tricky because while the company that makes them probably knows what they are capable of, they are not entirely “compatible” with a Tesla powertrain to begin with. Only Tesla knows everything that goes into their cars and the software that helps them function. There really isn’t much of a reason to gamble on ruining the powertrain of a Tesla all for a few extra miles per hour, but that is just me. I would think that it is too much of a risk, and I wouldn’t want my hard-earned money going to waste, especially if a plug-in can compromise the way my vehicle works.
I think the update to keep these plug-ins from functioning is entirely understandable. Tesla is playing damage control. Ultimately, anything that happens to malfunction on the plug-in, or if the driver were to make an error and it would result in an accident, the blame would go onto Tesla.
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Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
SpaceXAI just launched into your kitchen with their new app
Tesla adds new Supercharger feature for a better idea of what to expect
