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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.”
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:
Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.
The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.
Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:
Unsupervised Robotaxi now in the entire Austin Metro area https://t.co/eXNBdarvVS
— Tesla Robotaxi (@robotaxi) June 3, 2026
This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.
It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.
The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.
Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.
The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.
It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.
It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.
Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
