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NHTSA’s incoming senior safety adviser has a serious anti-Tesla Autopilot and FSD bias
The National Highway Traffic Safety Administration (NHTSA) has recently confirmed that Duke University professor Missy Cummings is poised to be named as its new senior safety adviser. While her credentials as a computer science professor and background as a person knowledgeable about autonomous driving technologies would likely be an essential resource for the NHTSA, Dr. Cummings has exhibited something quite peculiar in social media — She appears to have a serious bias against Tesla, particularly surrounding the company’s Autopilot and Full Self Driving programs.
Over the years, Dr. Cummings, through her personal Twitter account, frequently posted overtly negative statements about Tesla, its vehicles, and its CEO Elon Musk. A number of Tesla owners and supporters who claimed to have not interacted with Dr. Cummings online also observed that they seem to have been preemptively blocked by the incoming NHTSA safety official.
Everybody has a personal bias about something they are passionate about. As such, it is understandable for the Duke University professor to adopt a skeptical stance on Tesla and its Autopilot and FSD programs. There is such a thing as a healthy dose of skepticism, after all. However, or at least based on the incoming NHTSA senior safety official’s Twitter feed, Dr. Cummings appears to have crossed the line from objective to subjective when it comes to Tesla and its technologies. The same goes for her stance regarding CEO Elon Musk. In March 2020, for example, Dr. Cummings seemingly joked about needing someone to stop her from punching Elon Musk in the face.
Punching jokes aside, the Duke University professor also stands as a present member of Veoneer, a Swedish LIDAR company. Publicly available SEC disclosures indicate that Dr. Cummings has received restricted stock units in Veoneer worth about $400,000 a year at present market prices. Considering that Tesla is a company directly competing with Veoneer in the way that it is developing autonomous driving systems with only a vision-based system, there seems to be a conflict of interest at play.
It should be noted that Dr. Cummings’ seat at Veoneer was not disclosed when she published a paper (which was later updated to remove inaccurate details about a fatal Tesla crash) criticizing systems such as Autopilot for their possible dangers. And so far, the incoming NHTSA senior safety adviser has not shared if she would be leaving her post at the Swedish LIDAR company, especially since she would soon be advising a US safety agency on driver-assist systems that adopt both LIDAR and non-LIDAR solutions.
Interestingly enough, Dr. Cummings’ criticism of Tesla and its Autopilot and FSD programs seems to stem from the fact that the company’s vehicles lack of equipment such as the LIDAR sensors provided by Veoneer. In an appearance at The Robot Brains Podcast earlier this year, the Duke University professor remarked that she is “basically an albatross around Elon’s and Tesla’s neck” and that “Where (she’s) going after is his (Elon Musk’s) desire to drop radar off of his cars and now go to vision-only.”
Dr. Cummings further noted that “There’s no vision research out there which doesn’t think that’s crazy and is gonna kill someone.” In a 2019 tweet, the incoming NHTSA safety official also noted that the NHTSA should require Tesla to disable Autopilot, since it “easily causes mode confusion.” This was a similar take from her post in 2018 when she noted that Elon Musk’s Tesla is the only “killer robot” present today.
Tesla CEO Elon Musk has noted on Twitter that the Biden administration’s appointment of Dr. Cummings as a senior safety official for the NHTSA is quite “odd,” and in a later post, Musk also observed that “Objectively, her track record is extremely biased against Tesla.” In response to Musk’s post, the incoming senior safety official for the NHTSA noted that she was “happy to sit down and talk with you (Musk) anytime.” Hopefully, such a discussion could really happen with as little bias from both sides as possible, and with absolutely zero punches being thrown at the Tesla CEO.
The NHTSA’s appears to have its eye on Tesla recently. Earlier this month alone, and as the agency’s probe on several Autopilot crashes on stationary emergency vehicles continued, the NHTSA asked Tesla to explain why it rolled out a safety improvement to Autopilot through an over-the-air software update without issuing a recall.
This was quite an interesting question from the NHTSA, seeing as the Autopilot update was done as proactive measure that would allow Teslas to operate in a safer manner on the road, not as a response to a defect. This was despite Tesla accounting for only nine crash injuries with first responder vehicles in the past 12 months, a small fraction of the 8,000 injuries that were reported by the Government Accountability Office (GAO) involving a stationary emergency vehicle in the United States in a year.
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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
