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Tesla fires back at Fortune with cheeky “Misfortune” blog post
The drama continues between Tesla and Fortune after the media outlet published a story questioning Tesla’s ethics claiming the company sold $2 billion worth of stock but failed to disclose that it was under investigation by the National Highway Transport Association (NHTSA) after Joshua Brown was killed when his Model S in Autopilot mode crashed into a tractor trailer.
Since the story was published, Tesla CEO Elon Musk defended the company’s position that news surrounding the Autopilot related death was not material to its stock price. Fortune disagreed citing that the stock price dropped $6 per share after news broke that the NHTSA was in fact investigating evidence surrounding Brown’s death. That’s when Musk fired back via email picking choice words with Fortune’s writer and stating, “Indeed, if anyone bothered to do the math (obviously, you did not) they would realize that of the over 1M auto deaths per year worldwide, approximately half a million people would have been saved if the Tesla autopilot was universally available. Please, take 5 mins and do the bloody math before you write an article that misleads the public.”
The Tesla vs Fortune debacle spilled over into the public Twittersphere between Fortune’s Editor Alan Murray and Elon Musk. The tweets continued throughout Wednesday with Alan Murray defending the media outlet’s position that Tesla did not disclose news of the Autopilot death. Fortune went as far as quoting statements made in an SEC filing by Tesla which warned investors that a fatal crash related to its Autopilot feature would be a material event to the company’s brand, business, and operating results. Tesla would later bring to light that Fortune mischaracterized the quote within the SEC filing.
Tesla has since released a blog post on this matter titled “Misfortune”.
Misfortune
Fortune’s article is fundamentally incorrect.
First, Fortune mischaracterizes Tesla’s SEC filing. Here is what Tesla’s SEC filing actually says: “We may become subject to product liability claims, which could harm our financial condition and liquidity if we are not able to successfully defend or insure against such claims.” [full text included below] This is just stating the obvious. One of the risks facing Tesla (or any company) is that someone could bring product liability claims against it. However, neither at the time of this SEC filing, nor in the several weeks to date, has anyone brought a product liability claim against Tesla relating to the crash in Florida.
Next, Fortune entirely ignores what Tesla knew and when, nor have they even asked the questions. Instead, they simply assume that Tesla had complete information from the moment this accident occurred. This was a physical impossibility given that the damage sustained by the Model S in the crash limited Tesla’s ability to recover data from it remotely.
When Tesla told NHTSA about the accident on May 16th, we had barely started our investigation. Tesla informed NHTSA because it wanted to let NHTSA know about a death that had taken place in one of its vehicles. It was not until May 18th that a Tesla investigator was able to go to Florida to inspect the car and the crash site and pull the complete vehicle logs from the car, and it was not until the last week of May that Tesla was able to finish its review of those logs and complete its investigation. When Fortune contacted Tesla for comment on this story during the July 4th holiday, Fortune never asked any of these questions and instead just made assumptions. Tesla asked Fortune to give it a day to confirm these facts before it rushed its story to print. They declined and instead ran a misleading article.
Here’s what we did know at the time of the accident and subsequent filing:
- That Tesla Autopilot had been safely used in over 100 million miles of driving by tens of thousands of customers worldwide, with zero confirmed fatalities and a wealth of internal data demonstrating safer, more predictable vehicle control performance when the system is properly used.
- That contrasted against worldwide accident data, customers using Autopilot are statistically safer than those not using it at all.
- That given its nature as a driver assistance system, a collision on Autopilot was a statistical inevitability, though by this point, not one that would alter the conclusion already borne out over millions of miles that the system provided a net safety benefit to society.
Given the fact that the “better-than-human” threshold had been crossed and robustly validated internally, news of a statistical inevitability did not materially change any statements previously made about the Autopilot system, its capabilities, or net impact on roadway safety.
Finally, the Fortune article makes two other false assumptions. First, they assume that this accident was caused by an Autopilot failure. To be clear, this accident was the result of a semi-tractor trailer crossing both lanes of a divided highway in front of an oncoming car. Whether driven under manual or assisted mode, this presented a challenging and unexpected emergency braking scenario for the driver to respond to. In the moments leading up to the collision, there is no evidence to suggest that Autopilot was not operating as designed and as described to users: specifically, as a driver assistance system that maintains a vehicle’s position in lane and adjusts the vehicle’s speed to match surrounding traffic.
Fortune never even addresses that point. Second, Fortune assumes that, putting all of these other problems aside, a single accident involving Autopilot, regardless of how many accidents Autopilot has stopped and how many lives it has saved, is material to Tesla’s investors. On the day the news broke about NHTSA’s decision to initiate a preliminary evaluation into the incident, Tesla’s stock traded up, not down, confirming that not only did our investors know better, but that our own internal assessment of the performance and risk profile of Autopilot were in line with market expectations.
The bottom line is that Fortune jumped the gun on a story before they had the facts. They then sought wrongly to defend that position by plucking boilerplate language from SEC filings that have no bearing on what happened, while failing to correct or acknowledge their original omissions and errors.
Full text referenced above:
We may become subject to product liability claims, which could harm our financial condition and liquidity if we are not able to successfully defend or insure against such claims.
“Product liability claims could harm our business, prospects, operating results and financial condition. The automobile industry experiences significant product liability claims and we face inherent risk of exposure to claims in the event our vehicles do not perform as expected resulting in personal injury or death. We also may face similar claims related to any misuse or failures of new technologies that we are pioneering, including autopilot in our vehicles and our Tesla Energy products. A successful product liability claim against us with respect to any aspect of our products could require us to pay a substantial monetary award. Our risks in this area are particularly pronounced given the limited number of vehicles and energy storage products delivered to date and limited field experience of our products. Moreover, a product liability claim could generate substantial negative publicity about our products and business and would have material adverse effect on our brand, business, prospects and operating results. We self-insure against the risk of product liability claims, meaning that any product liability claims will have to be paid from company funds, not by insurance.”
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
