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Tesla is willing to help other automakers, but ask nicely
Earlier this week, I wrote an article talking about the German car companies and their obsession with mentioning Tesla. Volkswagen, Audi, and BMW are all gunning for Tesla in terms of electric vehicle technology and manufacturing. While the three German giants admit that Tesla holds a multi-year lead in the EV sector, they all believe they can catch up to Elon Musk and the rest of the crew.
After publishing the article, Elon responded and said that Tesla was willing to help companies transition to sustainable forms of transportation because it would help the world as a whole. However, there is evidence to suggest that Tesla and Elon are going to help those who ask for it, not those who attempt to take information in a manner that could be considered “sneaky.”
Tesla is open to licensing software and supplying powertrains & batteries. We’re just trying to accelerate sustainable energy, not crush competitors!
— Elon Musk (@elonmusk) July 29, 2020
Additionally, one of Musk’s followers had asked if Tesla’s Autopilot could be shared with other automakers in an attempt to not only accelerate the charge towards semi and fully-autonomous driving. Musk simply replied, “Sure,” indicating that there did not seem to be any boundaries in terms of what Tesla would be willing to share with its “competitors” as capitalism would refer to them as.
Sure
— Elon Musk (@elonmusk) July 29, 2020
To me, I found that simple “Sure” reply as one of the most interesting Tweets of Musk’s illustrious Twitter career. Not only has the CEO provided many of my friends and me with a fair share of laughs and me because of his great sense of humor, but his digs at other companies, as well as some of the more ironic things that he has said, have always intrigued me.
When he said, “Sure,” all I thought of was the lawsuit that Tesla currently holds against an Xpeng engineer who formerly worked for Tesla.
For those of you that are not familiar, Tesla sued Xpeng engineer Cao Guangzhi earlier this year, who used to work for Tesla.
Guangzhi allegedly stole pieces of Tesla’s Autopilot source code and attempted to sell it to Xpeng for financial gain. Guangzhi had downloaded portions of the code to his personal laptop and then shared it through Apple Airdrop, which is hard to track because of the encryption that Apple uses. However, he ensures that he removed it from his personal laptop before leaving Tesla to join Xpeng.
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The case is still ongoing.
But what I found most interesting about Musk’s simple one-word answer was the fact that he stated he would be willing to share Autopilot’s developments with other automakers. But it seems it needs to be done in good and harmless fashion, and not in a sneaky way. This is entirely understandable, in my opinion.
If Guangzhi did what Tesla is accusing him of doing, it would be seriously sneaky and flawed. Tesla is the leader in semi-autonomous driving thanks to the developments of its Artificial Intelligence team, led by Andrej Karpathy. What separates Tesla from every other company in self-driving is the fact that it is continuously improving thanks to the company’s Neural Network. As information is communicated to the Neural Network with every Tesla vehicle on the road, the company’s self-driving software becomes more sophisticated and more accurate as it can predict the next movements of the drivers around a car.
If this source code were to be leaked or given to another company, it could be detrimental to Tesla’s lead in the self-driving universe. I’m excited to see how the case plays out.
More recently, Tesla sued Rivian for poaching former employees and stealing trade secrets. Interestingly enough, I had some time to read over several pages of the complaint from Tesla to Rivian, and some employees openly admitted to taking confidential documents when they left Tesla.
I am a big Rivian fan. I think R.J. Scaringe, the company’s CEO, is a brilliant person who has a lot of potential to do amazing things. I have recommended to a couple of my friends that they should invest in an R1T instead of getting a Cybertruck because they don’t like the Tesla pickup’s design. But either way, it seems from my understanding of legal documentation, it is going to be up to Tesla to prove that Rivian asked these employees to take things and that they are openly going after past Tesla employees. I think that is going to be a tough cookie to crack.
But either way, Rivian didn’t go to Tesla for help directly. I feel that if they needed help with electrification or self-driving code, they should have reached out to Elon directly.
Elon has stated for years that the biggest enemy of Tesla is not competitors who are developing sustainable electric vehicles. The companies that are the biggest threat to Tesla are the biggest threat to us all, which are the ones who refuse to adapt to the sustainable transportation revolution. Companies that want to develop and improve internal combustion engine machines are a threat. Not financially, but environmentally, because they’re ignoring the apparent crisis that is going on in the world.
Does it seem like Elon wouldn’t be willing to help other automakers develop their vehicles if they asked for help? I don’t think so. Personally, when I look at Musk’s mission, I see a man who is interested in collaborating with anyone and everyone, as long as they are willing to admit that their push toward sustainability is the focus and not on the backburner.
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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 piggybacks recent Supercharger feature with update that takes it further
