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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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Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Elon Musk
The Starship V3 static fire everyone was waiting for just happened
SpaceX completed a full duration of Starship V3 today clearing the path for Flight 12.
SpaceX is that much closer to launching their next-gen Starship after completing today’s full duration static fire out of Starbase, Texas. This marks a direct signal that Flight 12, the maiden voyage of Starship V3, is imminent. SpaceX confirmed the test on X, posting that the full duration firing was completed ahead of the vehicle’s next flight test.
The road to today started on March 16, when Booster 19 completed a shorter 10-engine static fire, also at the newly constructed Pad 2. That test ended early due to a ground systems issue but confirmed all installed Raptor 3 engines started cleanly. Booster 19 returned to the Mega Bay, received its remaining 23 engines for a full complement of 33, and rolled back out this week for the complete test campaign. Musk confirmed earlier this month that Flight 12 is now 4 to 6 weeks away.
Countdown: America is going back to the Moon and SpaceX holds the key to what comes after
The numbers behind the world’s most powerful rocket are genuinely hard to put in context. Each Raptor 3 engine produces roughly 280 tons of thrust, and with all 33 firing simultaneously from the super heavy booster, this generates approximately 9,240 tons of combined thrust, more than any rocket in history. For context, that’s enough thrust to lift the entire Empire State Building, and then some. V3 stands 408 feet tall and can carry over 100 tons to low Earth orbit in a fully reusable configuration. The V2 generation topped out at around 35 tons.
Historically, a successful full-duration static fire is the last major ground milestone before launch. SpaceX has followed this pattern with every Starship iteration since the program began in 2023. Musk has been direct about the ambition behind all of it. “I am highly confident that the V3 design will achieve full reusability,” he wrote on X earlier this year. Full reusability of both stages is the foundation of SpaceX’s plan to make regular flights to the Moon and Mars economically viable. Today’s test brings that goal one significant step closer.
Starship V3 delivers on two most critical promises of full reusability and in-orbit refueling. The reusability case is straightforward, and one we have seen with Falcon 9 wherein the rocket can fly again within a day rather than building a new one for every mission. It’s the only economic model that makes frequent lunar cargo runs viable. The in-orbit refueling piece is less obvious but equally essential. To reach the Moon with enough payload, Starship requires roughly ten dedicated tanker flights to fuel up a propellant depot in low Earth orbit before it can even begin its journey to the lunar surface. That capability has never been demonstrated at scale, and Flight 12 is the first step toward proving it works. As Teslarati reported, NASA’s Artemis II crew completed a historic lunar flyby earlier this month, the first humans to travel beyond low Earth orbit since 1972, but getting astronauts to actually land and eventually supply a permanent Moon base requires a cargo pipeline that only a fully reusable, refuelable Starship V3 can deliver at the volume and cost NASA’s plans demand.
