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SpaceX Starship prototype ignites six engines, starts major brush fire
SpaceX has successfully ignited all six engines on its latest Starship prototype, taking a significant step towards ensuring that the upper stage will be ready for the rocket’s first orbital launch attempt.
Unfortunately, the same successful static fire of a Starship upper stage – potentially producing almost twice as much thrust as the booster of SpaceX’s Falcon 9 rocket – scattered superheated debris hundreds of meters away, igniting a major brush fire. It’s not the first major fire caused by Starship activities in South Texas, and it likely won’t be the last.
Starship S24 completed its first successful static fire on August 9th, igniting two Raptor engines. Several unsuccessful attempts to test more engines followed throughout the rest of the month, and SpaceX ultimately decided to replace one of Starship S24’s three Raptor Vacuum engines in early September before trying again. After workers installed the new engine and buttoned up Ship 24, the stars eventually aligned on September 8th.
Kicking off the test, SpaceX pumped several hundred tons of liquid oxygen (LOx) and a much smaller quantity of liquid methane (LCH4) fuel into Ship 24 in about 90 minutes, producing a crisp layer of frost wherever the cryogenic liquids touched the skin of the rocket’s uninsulated steel tanks. No frost formed on Starship’s upper methane tank, implying that SpaceX only loaded methane fuel into internal ‘header’ tanks meant to store propellant for landings. The hundreds of tons of liquid oxygen, then, were likely meant as ballast, reducing the maximum stress Starship could exert on the test stand holding it to the ground.
That potential stress is substantial. Outfitted with upgraded Raptor 2 engines, Starship S24 could have produced up to 1380 tons (~3M lbf) thrust when it ignited all six for the first time at 4:30 pm CDT. On top of smashing the record for most thrust produced during a Starbase rocket test, Ship 24’s engines burned for almost 8 seconds, making it one of the longest static fires ever performed on a Starship test stand.
Several brush fires were visible almost immediately after clouds of dust and steam cleared. More likely than not, the combination of the extreme force, heat, and burn duration likely obliterated the almost entirely unprotected concrete surface below Ship 24. Despite continuous evidence that all Starship static fire operations would be easier and safer with the systems, SpaceX still refuses to install serious water deluge or flame deflector systems at Starbase’s test stands and launch pads.
Instead, under its steel Starship test stands, SpaceX relies on a single middling deluge spray nozzle and high-temperature concrete (likely martyte) that probably wouldn’t pass muster for a rocket ten times less powerful than Starship. In multiple instances, Starships have shattered that feeble martyte layer, creating high-velocity ceramic shards that damage their undersides or Raptor engines, requiring repairs and creating risky situations. With essentially no attempt at all to tame the high-speed several-thousand-degree Raptor exhaust, static fire tests at Starbase thus almost always start small grass fires and cause minor damage, but those fires rarely spread.
Ship 24’s first six-engine test was not so lucky, although the Starship made it through seemingly unscathed. Most likely, eight long seconds of blast-furnace conditions melted the top layer of surrounding concrete and shot a hailstorm of tiny superheated globules in almost every direction. Indeed, in almost every direction there was something readily able to burn, a fire started. In several locations to the south and west, brush caught fire and began to burn unusually aggressively, quickly growing into walls of flames that sped across the terrain. To the east, debris even made it into a SpaceX dumpster, the contents of which easily caught fire and burned for hours.
Eventually, around 9pm CDT, firefighters were able to approach the safed launch pad and rocket, but the main fire had already spread south, out of reach. Instead, they started controlled burns near SpaceX’s roadblock, hoping to clear brush and prevent the fire (however unlikely) from proceeding towards SpaceX’s Starbase factory and Boca Chica Village homes and residents.
The nature of the estuary-like terrain and wetlands means that it’s very easy to stop fires at choke points, so the fire likely never posed any real threat to Boca Chica residents, SpaceX employees, or onlookers. It was also unlikely to damage SpaceX’s launch facilities or return to damage Starship S24 from the start, as both of are surrounded by a combination of concrete aprons, empty dirt fields, and a highway.
Still, the “brush” burned by the fire is a protected habitat located in a State Park and Wildlife Refuge. While fire is a natural and often necessary element of many habitats, including some of those in Boca Chica, this is the second major brush fire caused by Starship testing since 2019, which may be less than desirable. At a minimum, fighting fires around Starbase generally requires firefighters to walk or even drive on protected wetlands and salt flats, the impact of which could ultimately be as bad for wildlife and habitats as the fire itself.
SpaceX’s Federal Aviation Administration (FAA) Programmatic Environmental Assessment (PEA), which fully greenlit the company’s existing Starbase Texas facilities and launch plans earlier this year, only discusses fire [PDF] a handful of times. Repairing and preventing future damage to wetlands, however, comes up dozens of times and is the subject of numerous conditions SpaceX must meet before the FAA will grant Starship an orbital launch license.
Ultimately, given that the FAA approved that PEA in full awareness of a 2019 brush fire caused by Starhopper (an early Starship prototype) that may have been as bad or worse than 2022’s, there’s a chance that it will play a small role in the ongoing launch licensing process, but the odds of it being a showstopper are close to zero. Still, it would likely benefit SpaceX at least as much as the surrounding Boca Chica wilderness if it can implement changes that prevent major brush fires from becoming a regular ‘accidental’ occurrence.
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
