News
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.”
Energy
Taiwan power firm bets big on Tesla Megapacks as AI data center thirst grows
Taiwan’s Apollo Power orders 260 Tesla Megapacks, betting AI data centers will need more electricity.
A Taiwanese power company has ordered 260 Tesla Megapack 2XL units, roughly 1GWh of storage, betting that electricity rather than chips will decide how fast AI data centers come online. Apollo Power signed the contract with Tesla’s Taiwan energy arm on October 8, according to the company’s filing with the Taiwan stock exchange.
The filing says the units are meant for behind the meter storage and resilient grid projects, with delivery in batches from the end of 2027 and sites operating in 2028. Apollo and Tesla did not disclose a price, citing a confidentiality agreement. Apollo plans to pay for the equipment through a cash capital increase and bank financing, and it noted the purchase is not revenue and does not mean it holds firm orders from its partners.
Biggo reported that only about 33 units are under signed customer contracts, with roughly 150 more in negotiation. The same report put total project investment near NT$130 billion, but that figure includes installation work, with the equipment itself making up about 40 to 50 percent. In other words, a large share of this order is Apollo reserving supply ahead of demand. Apollo’s chairman told local media global large storage supply is tight, which is why the company locked in the units early, according to Yahoo Taiwan Finance.
Apollo also launched an AI data center and grid resilience alliance with Phison, Gigabyte and Shihlin Electric. The pitch rests on a pilot at Phison’s Zhunan plant, where Apollo and Tesla Energy Taiwan installed grid forming Megapack 2XLs in June. Tesla Energy Taiwan general manager Sun Hsiao-Han said the project went from demo to 1GWh in four months, and that Tesla Energy has deployed more than 50GWh worldwide.
Taiwan’s cabinet has approved amendments that would require large energy users to install their own generation and storage, which gives enterprise storage a regulatory tailwind.
The deal fits a pattern Teslarati has tracked. Tesla’s Megablock targets 1GWh commissioned in 20 business days, a pitch aimed squarely at fast moving data center builds. Megapacks already back xAI’s Colossus in Memphis and a 400MW AI campus in Brazil. Sun Media adds that Megapack 2XL was named among the first products in Nvidia’s DSX Ready qualification for battery storage in AI factories.
Deliveries are more than a year away, so the real test is how much of that 260 unit order turns into signed customer contracts.
Lifestyle
Tesla Cybercab and Robotaxi’s real advantage won’t be the ride service
For a century, the car has asked the same thing of its owner, which is basically to pay attention. Even the best ride-hailing app like Uber or Lyft only moved the problem into someone else’s hands. You stopped driving, but you still sat in a stranger’s car, while half listening, and wondering whether to take a phone call in the car without being rude. The Cybercab has no wheel, no pedals and no driver. With Grok @bot now live inside it, it becomes something else entirely, and I think that matters more than the fleet count that everyone is tracking.
Grok @bot is an agent, not a voice assistant. A rider signs in once, and from then on can say what they need and watch it happen. Order dinner from a favorite restaurant. Fill the grocery cart. Move money, answer email, adjust a calendar, push a work project forward. Tesla engineer Yun-Ta Tsai confirmed it is enabled across every Cybercab and the rest of the Model Y fleet, and Tesla’s own pitch is that Full Self-Driving handles the commute while Grok handles the errands.
Think about what that does to a thirty minute ride. Uber sells you a trip, while Waymo sells you the same trip in a more private setting. Tesla is selling the thirty minutes themselves, returned to you with an assistant attached. Errands that used to eat a Saturday get done between pickup and drop off. The ride stops being dead time between two places and becomes a place of its own.
Tesla integrates Grok Bot into its vehicles for the ultimate personal assistant
Best of all, your Bots follow you into any Cybercab, and presumably your own Tesla, then logs you out automatically when you step out. Anyone can bolt a chatbot onto a screen, but much harder to own the vehicle, the autonomy stack and the assistant at once. It also quietly ties SpaceX’s Super Intelligence business to Tesla’s fleet, after Tesla converted its xAI stake into SpaceX equity. The relationship between those two companies is getting harder to describe as separate.
This is also where the hard questions start, because an agent that can spend your money in a vehicle other people also ride in needs some answers. How does it handle a voice it shouldn’t trust? What gets recorded, who can see it, and for how long? What happens when a rider leaves halfway through a task?
If Tesla gets those answers right, the scoreboard changes. We have been counting Cybercabs and wait times. The more telling number may be what riders accomplish per trip. That is data almost no one else will ever have, and it is the real reason to watch Grok @bot.
What do you think? Leave me a comment.
News
Why Elon Musk’s target date for buying an Optimus robot is harder than it sounds
Musk says China’s magnet export ban cost Optimus months, and robot hands remain shockingly hard.
Elon Musk says China’s export curbs on magnets used in electric motors set back Tesla’s Optimus program by two to three months, and that the robot’s hands remain the hardest part of the project. He made the comments Saturday during a live interview with Tesla Owners Silicon Valley at the X Takeover event at Giga Texas, in front of roughly 2,000 attendees. The Optimus discussion begins around the 49 minute mark of the stream.
On the hands, Musk was blunt and noted that a general purpose humanoid needs fine motor skills that are “incredibly difficult to get right. Shockingly difficult,” he said in the interview. He pointed to a problem he says no one has demonstrated yet: “One of the hardest things also generally is to do precision and force at the same time,” such as driving a small self tapping screw into wood. Touch sensors add another layer, since it is “actually kind of hard to get touch sensors that elastically deform and can handle high cycle life and it won’t just break after a few thousand cycles.”
He also took aim at rival robot videos. “Any complicated looking robot demo, it’s a canned demo. It’s not real,” Musk said, adding that real AI means showing a robot something it has never seen and watching it still cope, the way FSD handles a city it has never driven.
Musk expects the Optimus ramp to be slower than a new vehicle production ramp. “The initial part of that S curve of production ramp is going to be very slow at the beginning,” Musk said, partly because “unlike cars, there’s no pre existing supply chain for robot stuff.” That echoes his July reply on X that Optimus production “will be extremely slow at first, as everything is new.”
The magnet disclosure puts a number on a problem Musk first raised in 2025. He said China “prevented the export of magnets for use in electric motors” and that it “set back the Optimus program by like two or three months.” Then he added: “We had robots with no arms.” Tesla’s fix is to bring the supply chain home. “You’ve got to be able to make all the parts domestically,” he said. Teslarati reported in April 2025 that Musk tied the issue to permanent magnets in the arm actuators, where motors have to be as small as possible.
Tesla Optimus V3 hand and arm details revealed in new patents
Production is moving regardless, with a reported internal goal of more than 1,000 a week by the end of 2026. Teslarati recently covered how Tesla is certifying supply partners in China for Optimus parts, while the company’s hand design has been the subject of new patent filings.
Musk has said he wants Optimus available to the public by late 2027, though Tesla has not confirmed that date or published updated production figures.