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SpaceX’s Starbase environmental review suffers third delay
The Federal Aviation Administration (FAA) has announced that the completion of a crucial ‘environmental assessment’ SpaceX needs to begin orbital-class Starship launch attempts out of South Texas has been delayed for the third time.
Official known as a programmatic environmental assessment or PEA, the FAA says it started the process in late June 2021 with the goal of verifying that SpaceX’s Starbase orbital launch site (OLS) was mostly benign before the end of 2021. Compared to a regular EA, the programmatic nature of SpaceX’s Starbase review would theoretically allow the company to start small and gradually expand and add new facilities and capabilities without having to restart the arduous review process for each change.
Along those lines, SpaceX’s first draft PEA requested permission for no more than five full-stack Starship launches per year compared to the maximum of 12 Falcon 9 launches or nine Falcon 9 and three Falcon Heavy launches out of Boca Chica that SpaceX had already received permission for from the FAA in 2014.
Unfortunately, even at the time that the start of the process was announced, completing a full PEA in half a year was already unbelievably optimistic. No comparable review, of which there are effectively none, has been completed anywhere close to that quickly. In the face of substantial local opposition, like in the case of Georgia’s Camden Spaceport, even an FAA environmental review for a relatively small rocket launch facility can make little progress after years of tooth-and-nail fighting.
However, the best possible comparison has always been SpaceX’s own environmental assessment for an almost identical orbital-class Starship launch site at Florida’s Kennedy Space Center. Despite the fact that no untouched ground would be broken and even with the apparent might of NASA behind it, it took the FAA and SpaceX about a full year to complete a Pad 39A EA for up to 24 Starship launches per year. As such, the idea that the FAA would be able to complete a PEA for Boca Chica Starship launches in six months was always almost unimaginable.
It should come as no surprise, then, that nine months after SpaceX and the FAA began their Starbase PEA, they appear to be only marginally closer to completing the review. Days before the original December 31st, 2021 deadline, the FAA announced a delay to February 28th, 2022. On February 14th, the FAA announced a second delay to March 28th. Most recently, on March 25th, the FAA announced a third delay to April 29th.
Put simply, the FAA is effectively saying that it is actually further away from completing SpaceX’s South Texas Starship PEA than it was in December 2021. The extraordinarily opaque nature of the process also means that anyone outside of the loop or without internal sources is left to simply guess what is causing those delays or why the FAA keeps pushing the goalposts back just one or two months at a time when it’s unclear that anyone can actually predict when the process will be completed.
Without journalists filing Freedom of Information Act (FOIA) requests, the full extent of public knowledge about what is causing those delays would be the FAA’s scant few statements on the process. The most valuable information provided thus far is that the FAA is “reviewing the Final PEA,” which does seem to imply some degree of progress. Nonetheless, the agency still included a boilerplate statement noting that it’s “completing consultation and coordination with agencies at the local, State, and Federal level,” making it hard to actually say if any progress has been made. In February 2022, the FAA said it was “continuing consultation and coordination with other agencies.”
In December 2021, the FAA stated that it was “continuing consultation and coordination with other agencies at the local, State, and Federal level” while “SpaceX continues to prepare the Final PEA for…FAA review and acceptance.” By using such vague and unspecific language, the FAA makes what little it does say virtually impossible to parse and barely better than nothing. Solely thanks to documents secured through FOIA, we know that the FAA itself may not actually be to blame for most or all of the PEA’s four months of delays.
Instead, the US Department of the Interior (DOI), Fish and Wildlife Services (FWS), and National Park Services (NPS) may be partially responsible through their required coordination with the FAA, which they appear to be taking full advantage of to exert some form of control over the outcome. Bureaucrats are being bureaucratic, in other words.
Outside of email chains and boardrooms, however, it’s no longer clear that completing the PEA and securing an FAA launch license are the limiting factor for the first orbital Starship test flights. SpaceX CEO Elon Musk recently announced that SpaceX is changing the prototypes assigned to the first full-stack launch – likely to Booster 7 and Ship 24. Super Heavy B7 has yet to begin any kind of testing and Starship S24 is still in several pieces, so it’s safe to say that SpaceX’s new pair are months of concerted testing away from launch readiness.
If anything goes wrong during those tests, any significant design issues are discovered, or any damage is caused, it’s entirely possible that what Elon Musk says could take as few as two months will actually take more like four to six. Only time will tell. For now, the FAA likely has a few months before Starship’s South Texas PEA and full-stack launch license truly become the limiting factor for the rocket’s first orbital launch attempt.
News
Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
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.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
