It is tough being Tesla. In a world where cars are becoming electric, just as the company initially intended when its mission began 18 years ago, Tesla is the top dog at the moment. Every car company in the world is nipping at its heels in an attempt to catch up to Elon Musk’s car company. However, recent developments have inspired me to look at a different kind of competition that Tesla is facing, something that feels somewhat unjust in the grand scheme of things. Unfortunately, it’s not from another car company, it’s from federal investigators and Tesla skeptics who continue to magnify the company’s accidents, all because there is the possibility that a car involved in an accident may have been operating on Autopilot.
Earlier this week, a Model Y was involved in a crash in Michigan. What turned out to be a case of reckless driving was initially blamed on the possibility of Autopilot by mainstream media sources. Unfortunately for them, their credibility regarding Tesla vehicles continues to be chipped away as they sacrifice long-term trustworthiness in the field of electric vehicles for short-term viewership. A Tesla was in fact in an accident in Detroit, and yes, the NHTSA was investigating it. There’s no reason to go any more broad than that.
Unfortunately, Tesla’s rollout of Autopilot and Full Self-Driving has put the company at risk for these types of stories. Anytime a Tesla crashes, the first thing that is planted in people’s minds is the possibility that the car may have been using the semi-autonomous driving functionalities. Why? Human beings are still responsible for operating the car even when the vehicle is utilizing the state-of-the-art technology. It is in no way the car’s fault when the driver is still responsible for the ultimate operation of the vehicle. It’s like blaming a fork for obesity, in my eyes.
While it is unfortunate that there have been deaths due to Autopilot, there are instances where gross negligence from the driver is truly the cause of an accident. For example, in a case where speed and reckless driving is truly the factor, there needs to be an immediate clarification by investigating officers. Perhaps Tesla could provide some clarification to authorities in some kind of system where officers could give the VIN of a vehicle involved, and Tesla could determine immediately whether the car was operating using its driver assistance features. Obviously, there may be a better way. But in the short-term, especially in the early days of the FSD Beta, the credibility of the vehicle’s systems is extremely important for future rollouts.
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Statistically, Tesla vehicles are much safer than human drivers, to begin with. Recent Q4 2020 Safety Report statistics from Tesla show that one accident occurred with Autopilot every 3.45 million miles. The national average is 484,000 miles. Isn’t that enough to prove Autopilot is a better option than human driving? By the way, it only gets more accurate and precise with every mile driven thanks to its Neural Networks that attain new data.
The exposure Tesla receives after one of these tragic accidents is likely what is the most frustrating. Immediately, people jump to conclusions and assume the car was responsible for the issues. It’s interesting though because I can’t ever recall a single instance of media jumping all over an issue with SuperCruise or any of the other numerous driver assistance systems that are out on the market today. I am sure there has been coverage, I just can’t recall any instance where it has been a national headline like Tesla seems to be included in on a regular basis.
In all honesty, it is just extremely frustrating to know that there is so much focus on Tesla’s shortcomings instead of its broad successes. I am a TSLA investor, but I am also extremely critical of the company at times, and I believe it is because of my holdings. There are times I would do things differently. I was vocal about my distaste for not telling any Model Y LR RWD reservation holders that their cars weren’t going to be made. I am upset that there is relatively no communication with Model S Plaid reservation holders regarding their steering wheels. I am not a fan that we’ve been told Semi/Roadster production is imminent on numerous occasions but we are still sitting here with neither of those vehicles. I get the bottlenecks, but I think those things have just frustrated me personally.
I’m glad Tesla spends $0 on advertising. The news outlets & media don’t deserve Teslas money. It’s better used growing the company & for things like building next-gen factories. Ford and GM alone will spend over $5B this year on US advertising. The bias is clear and money talks.
— Sawyer Merritt ?? (@SawyerMerritt) March 17, 2021
However, I am also going to admit when things are just plain unfair, and Tesla is a victim of that on so many occasions. I don’t know if that has to do with oil money lining the pockets of MSM, or it is just an attempt to derail a company that has really disrupted the automotive industry. I won’t speculate. There is, of course, a reason for the investigations that could be beneficial. It could just be an attempt to learn from the mistakes of Tesla and pass them along for future instances. Unfortunately, there will be more accidents with self-driving software, and it will go far beyond Tesla. However, Tesla is the only company with a robust self-driving program, so the microscope almost needs to be on them at times, but that’s where this whole situation really gets sticky.
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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
