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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.
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Tesla Cybercab gets crazy change as mass production begins
Tesla has officially kicked off mass production of its groundbreaking Cybercab robotaxi at Giga Texas, and the first units rolling off the line feature a striking transformation that’s turning heads across the EV community.
Tesla Cybercab has evidently received a pretty crazy change from an aesthetic standpoint, as the company has made the decision to offer an additional finish on the vehicle as mass production is starting.
Tesla has officially kicked off mass production of its groundbreaking Cybercab robotaxi at Giga Texas, and the first units rolling off the line feature a striking transformation that’s turning heads across the EV community.
VIN Zero—the very first production Cybercab—showcases a vibrant champagne gold exterior with a high-gloss finish, a dramatic departure from the flat, matte-wrapped prototypes that debuted at the 2024 “We, Robot” event.
Presenting VIN Zero — the very first production Cybercab built at Giga Texas. pic.twitter.com/8bXo4CJAlr
— TechOperator (@TechOperator) April 23, 2026
This glossy sheen is a pretty big pivot from what was initially shown by Tesla. The company has maintained a pretty flat tone in terms of anything related to custom colors or finishes.
A specialized clear coat or process delivers the deep, reflective gloss without conventional painting. The result is a premium, mirror-like shine, and it looks pretty good, and gives the compact two-seater a more luxurious and futuristic presence than the subdued matte prototypes.
Photos shared by Tesla community members reveal VIN Zero in a showroom-like setting at Giga Texas, highlighting refined panel gaps, large aero wheel covers, and the signature no-steering-wheel, no-pedals interior optimized for full autonomy.
The open frunk in some images offers a glimpse of practical storage, while the overall build quality appears more polished than that of test mules.
This glossy evolution aligns with Tesla’s broader production ramp. After the first unit in February 2026, the company has shifted to volume manufacturing, with dozens of units already spotted in outbound lots. CEO Elon Musk and the team aim for hundreds per week, paving the way for unsupervised FSD robotaxi networks that could slash ride costs to pennies per mile.
The Cybercab holds Tesla’s grand ambitions of operating a full-service ride-hailing service without any drivers in its grasp. Tesla has yet to solve autonomy, but is well on its way, and although its timelines are usually a bit off, improvements often come through the Over-the-Air updates to the Full Self-Driving suite.
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Tesla confirms Cybercab with no steering wheel enters production
Tesla has confirmed today that its steering wheel-less and pedal-less Cybercab, the vehicle geared toward launching the company’s autonomous ride-hailing hopes, has officially entered production at its Giga Texas production facility outside of Austin.
The Cybercab is a sleek two-door, two-passenger coupe engineered from the ground up as an electric self-driving vehicle. It features no steering wheel or pedals, relying instead on Tesla’s advanced vision-only Full Self-Driving system powered by multiple cameras and artificial intelligence.
Purpose-built for autonomy
Cybercab in production now at Giga Texas pic.twitter.com/Y9qG3KyWBa
— Tesla (@Tesla) April 23, 2026
The minimalist cabin centers on a large display screen that serves as the primary interface for passengers, creating an open, futuristic space optimized for comfort during unsupervised rides. A compact 35-kilowatt-hour battery pack delivers exceptional efficiency at 5.5 miles per kilowatt-hour, providing an estimated 200-mile range.
Additional innovations include inductive charging compatibility and a lightweight design that enhances aerodynamics and performance.
Production at Giga Texas builds on earlier prototypes and initial units completed earlier in 2026. The facility, already a hub for Model Y and Cybertruck assembly, now ramps up dedicated lines for the Cybercab.
This shift to volume manufacturing reflects Tesla’s strategy to scale affordable autonomous vehicles rapidly.
By focusing on a dedicated platform rather than adapting existing models, the company aims to keep costs low while prioritizing safety and reliability through continuous AI improvements.
The Cybercab’s debut in production carries broad implications for urban mobility. As the cornerstone of Tesla’s Robotaxi network, it promises on-demand, driverless rides that could slash transportation expenses, reduce traffic accidents caused by human error, and lower emissions through its all-electric powertrain.
Accessibility features, such as space for service animals or assistive devices, further broaden its appeal. Regulators and cities worldwide will soon evaluate its deployment, but the vehicle’s design already addresses key hurdles in scaling unsupervised autonomy.
Challenges persist, including full regulatory clearance and building charging infrastructure. Yet this production launch signals momentum. With Cybercabs poised to roll out in increasing numbers, Tesla edges closer to a future where personal ownership meets shared fleets of intelligent vehicles.
The start of Cybercab production is more than just a new vehicle entering mass manufacturing for Tesla, as it’s a signal autonomy is near. Being developed without manual controls is such a massive sign by Tesla that it trusts its progress on Full Self-Driving.
While the development of that suite continues, Tesla is making a clear cut statement that it is prepared to get its fully autonomous vehicle out in public roads as it prepares to revolutionize passenger travel once and for all.
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Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much
There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.
Tesla Full Self-Driving v14.3.2 began rolling out to some owners earlier this week, and there are some notable improvements that came with this update.
There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.
Overall operation saw a handful of slight improvements, especially with parking performance, which has been the most notable difference with the arrival of FSD v14.3. However, there are still some very notable shortcomings, most notably with region-specific signage and navigation.
Tesla Assisted Smart Summon (ASS) improvements
There are noticeable improvements to ASS operation, which has definitely been inconsistent in terms of performance. Tesla wrote in the release notes for v14.3.2:
“Unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.”
As recently as this month, I used Summon with no success. It had pulled around the parking lot I was in incorrectly, leaving the range at which Summon can be operated and losing a signal while moving in the middle of the lot.
This caused me to sprint across the lot to retrieve the vehicle:
It was pouring when I left the gym so I tried to Summon my Model Y
It turned the opposite way and drove out of range, stopping here and forcing me to walk even further across the lot in the rain for it 🤣One day pic.twitter.com/iD10c8sriB
— TESLARATI (@Teslarati) April 5, 2026
Unfortunately, Summon was not dependable or accurate enough to use regularly. It appears Tesla might have bridged the gap needed to make it an effective feature, as two tests in parking lots proved that Summon was more responsive and faster to navigate to the location chosen.
It also did so without hesitation, confidently, and at a comfortable speed. I was able to test it twice at different distances:
🚨 Tesla FSD v14.3.2 ASS testing part 1
This was a significant improvement than recent tries using ASS. The parking lot was pretty empty but getting it to come to my location in one singular motion and maneuver was encouraging. https://t.co/vF7TS48GGV pic.twitter.com/sYt8tyHgNn— TESLARATI (@Teslarati) April 23, 2026
Tesla Full Self-Driving v14.3.2 ASS testing part 2 https://t.co/lxfWfnLUxf pic.twitter.com/2R0r3ohI3M
— TESLARATI (@Teslarati) April 23, 2026
I plan to test this more thoroughly and regularly through the next few weeks, and I avoided using it in a congested parking lot initially because I have not had overwhelming success with Summon in the past. I wanted to set a low baseline for it to see if it could simply pull up to the place I pinned in the Tesla app.
It was two for two, which is a big improvement because I don’t think I ever had successful Summon attempts back-to-back. It just seems more confident than ever before.
New Disengagement Categories
This is a really good idea from Tesla, but there are some issues with it. The categories you can select are Critical, Comfort, Preference, and Other.
I think the reasons why people choose to take over would be a better way to prompt drivers, like, “Traveling Too Fast,” “Incorrect Maneuver,” “Navigation Error,” would be more beneficial.
I say this because it seems that how we each categorize things might be different. For example, I shared a video of an intervention because the car had navigated to an exit to a parking lot and put its left blinker on, despite left turns not being allowed there.
I disengaged and chose Critical as the reason; it’s not a comfort issue, it’s not a preference, it’s quite literally an illegal turn, and it’s also dangerous because it cuts across several lanes of traffic and is 180 degrees.
I chose to label this Navigation error as “Critical” while testing FSD v14.3.2
Here’s why:
✅ This intervention wasn’t “preference,” as the maneuver FSD routed was illegal
✅ If a police officer saw this maneuver, it would result in a ticket https://t.co/znhHb4haAo pic.twitter.com/bZOiLwWmQa— TESLARATI (@Teslarati) April 23, 2026
Some said I should not have labeled this as Critical, but that’s the description I best characterized the disengagement as.
Categorizing interventions is a good thing, but it’s kind of hard to determine how to label them correctly.
Inconsistency with Regional Traffic Patterns
Tesla Full Self-Driving is pretty inconsistent with how it handles regional or local traffic patterns and road rules. The most frequent example I like to use is that of the “Except Right Turn” stop sign, which has become a notorious sighting on our social media platforms.
In the initial rollout of v14.3, my Model Y successfully navigated through one of these stop signs with no issues. However, testing at two of these stop signs yesterday proved it is still not sure how to read signs and navigate through them properly.
🚨 Tesla FSD v14.3.2 attempts the “Except Right Turn” stop sign: https://t.co/W5MjAybaNK pic.twitter.com/P6oeUsk4PN
— TESLARATI (@Teslarati) April 23, 2026
Off camera, I approached another one of these signs and felt the car coming to a stop, so I nudged it forward with the accelerator pedal pressed.
This helped the car go through the sign without stopping, but I could feel the bucking of the vehicle as the car really wanted to stop.
Musk said on the earnings call earlier this week that unsupervised FSD would probably be available in some regions before others, including a state-to-state basis in the U.S.
“It’s difficult to release this like to everyone everywhere all at once because we do want to make sure that they’re not unique situations in a city that particularly complex intersection or — actually, they tend to be places where people get into accidents a lot because they’re just — perhaps there’s — and like I said, an unsafe intersection or bad road markings or a lot of weather challenges. So I think we would release unsupervised gradually to the customer fleet as we feel like a particular geography is confirmed to be safe.”
This could be one of those examples that Tesla just has to figure out.
Highway Operation
Full Self-Driving is already pretty good at routine roadway navigation, so I don’t have too much to report here.
However, I was happy with FSD’s decision-making at several points, including its choice not to pass a slightly slower car and remain in the right lane as we approached the off-ramp:
🚨 Tesla FSD v14.3.2 highway operation: generally happy with the performance here, especially behavior near the exit
Love that the car got over in the right lane after its final pass, and stayed there as the off ramp was approaching https://t.co/qVRVhg6XGR pic.twitter.com/1ELwHf2XKS— TESLARATI (@Teslarati) April 23, 2026
Better Maneuvering at Stop Signs
Many FSD users report some strange operations at stop signs, especially four-way intersections where there is a stop sign and a line on the road, and they’re not even with one another.
I experienced this quite frequently and found that FSD would actually double stop: once at the stop sign and again at the line.
This created some interesting scenarios for me and I had many cars honk at me when the second stop would happen. Other vehicles that had waved me on to proceed through the intersection would become frustrated at the second stop.
FSD seems to have worked through this particular maneuver:
🚨 Tesla FSD v14.3.2 with a singular stop at the correct spot
No double stopping anymore in my experience https://t.co/Wd0TaNjc1R pic.twitter.com/CdQPvJHaAM
— TESLARATI (@Teslarati) April 23, 2026
FSD should know to go to the more appropriate location (whichever provides better visibility), and proceed when it is the car’s turn to move. The double stop really ruined the flow of traffic at times and generally caused some frustration from other drivers.