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SpaceX installs new Starship on static fire test stand
SpaceX may be focused on preparing Starship S24 and Super Heavy Booster 7 for their potentially imminent orbital launch debut, but the rest of the company’s Starship factory isn’t just sitting around.
The laser focus on carefully testing Ship 24 and Booster 7 may have limited the effectiveness of Starbase rocket production, but the factory has continued to produce new ships and boosters. SpaceX has even conducted some limiting testing of a pair of prototypes meant to follow in the footsteps of S24 and B7. In mid-January, that process entered a new and more active phase as SpaceX transported Starship S25 from the factory to the launch pad.
The trip is not Ship 25’s first. Starship S25 first headed to SpaceX’s South Texas launch and test facilities on October 19th, 2022, shortly after the vehicle was fully assembled. Around three weeks of testing followed, and now Ship 25 is back for more.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
Ship 25
The first round of tests was thorough and put Ship 25 through a pneumatic proof test, multiple cryogenic proof tests, and likely a few simulated thrust tests using six hydraulic rams.
“Ship 25 was removed from SpaceX’s other Starship test stand on November 8th, it was rolled back to Starbase’s Starship factory. Ship 25 first rolled to the launch site on October 19th and has since completed four visible tests. On October 28th, Ship 25 survived a pneumatic proof test that showed that its tanks were leak-free and capable of surviving flight pressures (roughly 6-8.5 bar or 90-125 psi). Three cryogenic proof tests followed on November 1st, 2nd, and 7th. The first cryoproof was likely just that – a test that pressurized Ship 25’s tanks and filled them with cryogenic liquid nitrogen (LN2) or a combination of liquid oxygen and LN2.
The next two tests likely took advantage of the customized test stand, which has been semi-permanently outfitted with a set of hydraulic rams that allow SpaceX to simulate the thrust of six Raptor engines while Starship’s structures are chilled to cryogenic temperatures and loaded with roughly 1000 tons (~2.2M lb) of cryogenic fluids. If a Starship can survive those stresses on the ground, the assumption is that it will likely survive similar stresses in flight.”
Teslarati.com – October 20th, 2022
As usual, SpaceX didn’t comment on the development or indicate how that initial proof testing had gone, but Ship 25’s January 14th, 2023 return to the launch site all but guaranteed that that testing had gone more or less according to plan. On January 17th, SpaceX lifted Ship 25 onto Starbase’s only Starship static fire test stand, further confirming that Ship 25 proof testing went to plan.
Soon after its November 2022 return to Starbase’s build site, six Raptor engines were moved into the High Bay and installed on Ship 25. The Starship’s aft was then likely buttoned up with a heat shield before it headed to the test site to begin its static fire test campaign. That campaign could tell us a lot about the status of Starship prototypes. To date, only two Ships have completed full six-Raptor static fire tests, and both took days, weeks, or months to build up to those six-engine milestones with multiple smaller tests. If Ship 25 were to skip those preliminary tests and immediately conduct a six-engine static fire, it would be a sign that SpaceX is significantly more confident in the current Starship design.
Booster 9
Ship 25 is believed to be paired with Super Heavy Booster 9, which recently finished its own round of proof tests. About two months behind Ship 25, Booster 9 rolled out of its Starbase assembly bay and headed to the launch site on December 15th, 2022. The Super Heavy prototype ultimately completed two partial cryogenic proof tests on December 21st and 29th, during which it was likely loaded with around a thousand tons of liquid nitrogen to simulate explosive liquid oxygen and methane propellant. Booster 9 then returned to Starbase’s factory on January 10th, 2023.
Assuming those tests went well, Raptor engine installation could begin at any moment. However, thanks to significant design changes and upgrades present on Booster 9, outfitting and testing this Super Heavy could take longer than usual. Many smaller changes are present, but the most significant by far is the addition of an upgraded version of Raptor. The engine’s combustion-related hardware is likely the same as the Raptor V2 engines present on Booster 7, Ship 24, and Ship 25. But the hardware used to steer each engine – called thrust vector control (TVC) – has been completely changed.
Instead of using a complex web of plumbing and hydraulic power units bolted to the side of Super Heavy, Booster 9’s 13 central Raptors will be electrically steered. That has allowed SpaceX to remove those power units (streamlining Booster 9’s exterior) and reduce the already rats nest of plumbing required to fuel, control, power, and steer dozens of high-performance rocket engines on one booster. SpaceX has been testing electric Raptor TVC for months at its McGregor, Texas development facilities, but it’s unclear if the new technology has progressed to the point that 13 upgraded engines are ready to be installed on Booster 9. In the meantime, SpaceX may install Booster 9’s fixed outer ring of 20 Raptor V2 engines – none of which gimbal or need new electric TVC hardware.
Once all 33 engines are installed, it’s likely that Booster 9 will be thoroughly tested to ensure that all 13 electrically-steered engines work well together before, during, and after numerous static fire tests. SpaceX will also need to verify that the batteries likely powering those new systems function as expected. During the peak stresses they will likely experience, the electric TVC could need to rapidly redirect more than 3000 tons (~6.6 million lbf) of thrust multiple times per second. The peak power required from Super Heavy’s batteries will likely be immense as a result.
For now, the start of Super Heavy B9’s own static fire test campaign could be months away and will have to wait until Starbase’s only orbital launch mount – currently occupied by Booster 7, Ship 24, and Starship’s first orbital launch campaign – is vacated. With that orbital launch debut unlikely to happen before March 2023, Booster 9 has plenty of time to relax inside Starbase’s Wide Bay while Ship 25 begins static fire testing at a separate stand.
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Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
News
Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
