This is a preview from our weekly newsletter. Each week I go ‘Beyond the News’ and handcraft a special edition that includes my thoughts on the biggest stories, why it matters, and how it could impact the future.
Earlier this week, NTSB Chief Jennifer Homendy made some disparaging comments regarding Tesla’s use of “Full Self-Driving” to explain its semi-autonomous driving suite. The remarks from Homendy show that Tesla may not have a fair chance when it ultimately comes to proving the effectiveness of its FSD program, especially considering agency officials, who should remain impartial, are already making misdirected comments regarding the name of the suite.
In an interview with the Wall Street Journal, Homendy commented on the company’s use of the phrase “Full Self-Driving.” While Tesla’s FSD suite is admittedly not capable of Level 5 autonomy, the idea for the program is to eventually roll out a fully autonomous driving program for those who choose to invest in the company’s software. However, instead of focusing on the program’s effectiveness and commending Tesla, arguably the leader in self-driving developments, Homendy concentrates on the terminology.
Homendy said Tesla’s use of the term “Full Self-Driving” was “misleading and irresponsible,” despite the company confirming with each driver who buys the capability that the program is not yet fully autonomous. Drivers are explicitly told to remain vigilant and keep their hands on the wheel at all times. It is a requirement to use Autopilot or FSD, and failure to do so can result in being locked in “Autopilot jail” for the duration of your trip. Nobody wants that.
However, despite the way some media outlets and others describe Tesla’s FSD program, the company’s semi-autonomous driving functionalities are extraordinarily safe and among the most complex on the market. Tesla is one of the few companies attempting to solve the riddle that is self-driving, and the only to my knowledge that has chosen not to use LiDAR in its efforts. Additionally, Tesla ditched radar just a few months ago in the Model Y and Model 3, meaning cameras are the only infrastructure the company plans to use to keep its cars moving. Several drivers have reported improvements due to the lack of radar.
These comments regarding FSD and Autopilot are simple: The terminology is not the focus; the facts are. The truth is, Tesla Autopilot recorded one of its safest quarters, according to the most recently released statistics that outlined an accident occurring on Autopilot just once every 4.19 million miles. The national average is 484,000 miles, the NHTSA says.
It isn’t to say that things don’t happen. Accidents on Autopilot and FSD do occur, and the NHTSA is currently probing twelve incidents that have shown Autopilot to be active during an accident. While the conditions and situations vary in each accident, several have already been proven to be the result of driver negligence, including a few that had drivers operating a vehicle without a license or under the influence of alcohol. Now, remind me: When a BMW driver is drunk and crashes into someone, do we blame BMW? I’ll let that rhetorical question sink in.
Of course, Homendy has a Constitutional right to say whatever is on her mind. It is perfectly reasonable to be skeptical of self-driving systems. I’ll admit, the first time I experienced one, I was not a fan, but it wasn’t because I didn’t trust it. It was because I was familiar with controlling a vehicle and not having it manage things for me. However, just like anything else, I adjusted and got used to the idea, eventually becoming accustomed to the new feelings and sensations of having my car assist me in navigating to my destination.
To me, it is simply unfortunate for an NTSB official to claim that Tesla “has clearly misled numerous people to misuse and abuse technology.” One, because it isn’t possible, two, because it would be a massive liability for the company, and three, because Tesla has never maintained that its cars can drive themselves. Tesla has never claimed that its cars can drive themselves, nor has Tesla ever advised a driver to attempt a fully autonomous trek to a destination.
The numerous safety features and additions to the FSD suite have only solidified Tesla’s position as one of the safest car companies out there. With in-cabin cameras to test driver attentiveness and numerous other safety thresholds that drivers must respond to with the correct behaviors, Tesla’s FSD suite and its Autopilot program are among the safest around. It isn’t favorable for NTSB head Homendy to comment in this way, especially as it seems to be detrimental to not only Tesla’s attempts to achieve Level 5 autonomy but the entire self-driving effort as a whole.
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Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.
SpaceX wants to catch Starship for launch 14, Elon Musk says
Tesla to open source Model S and Model X designs and software
