News
SpaceX destacks “420” Starship, Super Heavy pair for the third time
Update: Shortly before SpaceX CEO Elon Musk revealed that Super Heavy booster B4 and Starship S20 are no longer assigned to the rocket’s orbital launch debut, the company ‘destacked’ the pair for the third time.
Ship 20 was removed from Booster 4 on March 19th, two days before Musk’s tweets. That’s not unusual: it was actually Ship 20’s third removal from Super Heavy. However, almost as soon as the Starship was rolled out of the way, SpaceX began making visible preparations to also remove Super Heavy B4 from Starbase’s orbital launch mount. As of March 24th, the booster has been attached to a large crane for more than a day and a newly upgraded transport stand has been rolled into place beside the launch mount. It’s somewhat odd that the booster hasn’t already been removed but that step could happen at almost any moment, now – albeit likely in daylight.
Once both Ship 20 and Booster 4 have been removed, it’s hard to imagine that they will ever return to the orbital launch mount. In fact, at minimum, Super Heavy B4 will probably be retired almost immediately. Super Heavy B7 – a superior, refined, and upgraded prototype by almost every measure – is already almost fully assembled and could likely begin basic testing within a week or two.
SpaceX CEO Elon Musk says that Super Heavy Booster B4 and Starship S20 are no longer scheduled to support the first orbital-class test flight of the world’s largest rocket.
Rumors, signs, and reports of the significant change have been flowing among unofficial spaceflight communities for months. Booster 4 and Ship 20 were first confirmed by Elon Musk to be the pair assigned to Starship’s orbital test flight (OTF) in the summer of 2021. When the pair first rolled out to the launch pad in early August, Musk seemed confident that they could be ready for an orbital launch attempt within a month or two. The same was true in November 2021, when Musk stated that the same Starship and Super Heavy pair could be ready for their first launch as early as January or February 2022.
Musk’s latest update on Starship’s orbital test flight continues that schedule optimism but also introduces several major changes – changes that could easily take several months to fully work through.
Crucially, Musk revealed that the first Starship to attempt an orbital-class launch will now feature upgraded Raptor V2 engines – engines that require an entirely new thrust structure design. That already all but guaranteed that B4 and S20 had been overtaken but Musk also explicitly confirmed that they would be replaced with a new pair in a later tweet.
That new pair – widely assumed to be Super Heavy B7 and Starship S24 – feature a wide range of design changes, including substantially modified header tanks, an entirely new nosecone design, new layouts for secondary systems (pressurization, avionics, heat exchangers, etc.), and more. Most importantly, their thrust structures – giant ‘pucks’ machined out of steel – have been tweaked to support new Raptor V2 engines instead of the Raptor V1 and V1.5 engines that have been installed and tested on all Starship and Super Heavy prototypes to date.
Musk believes that SpaceX will be able to build (and presumably qualify) all 39 of the Raptors Ship 24 and Booster 7 will need before the end of April and fully install them – as well as all the heat shield components that must be fitted around them – by the end of May 2022. It’s unclear if the SpaceX CEO is accounting for the extensive proof testing Ship 24 and Booster 7 will likely need to complete before being qualified for flight, including cryogenic proof tests, wet dress rehearsals, and at least a few static fire tests.
In fact, SpaceX has only performed a single three-engine static fire test with a fully outdated Super Heavy prototype. Before the company is confident in its booster design, it’s practically a certainty that one or more prototypes will be put through a lengthy test campaign that gradually evolves from igniting a few engines to igniting all 29 or 33 Raptors. That may actually be one of the reasons SpaceX appears to be retiring Booster 4 without a single static fire or flight test – performing all the requisite work may have ultimately been perceived as a dead-end when every future Starship and Super Heavy prototype will feature a heavily redesigned engine.
This is to say that much like Musk’s last few Starship OTF schedule estimates, May 2022 also appears to be extremely optimistic. Booster 7 could potentially be ready for cryogenic proof testing any day now but Ship 24 is still in five large pieces and probably at least a month from any form of test readiness. Still, there are some reasons for optimism. If Booster 7 actually does start basic proof testing this month or early next without waiting for its Raptor engines or for heat shield installation, SpaceX could theoretically complete cryoproofing, begin installing one or a few new Raptors at a time, and iteratively progress from static firing a few to all 33 engines as the engines are arriving at Starbase.
At a minimum, even if that razor-sharp test schedule isn’t possible, Booster 7 would at least have a month or so of extra testing over Ship 24, minimizing the disproportionate amount of testing each prototype will likely need to be qualified for flight. Unlike Booster 4, Ship 20 has completed several static fires and cryoproofs without any apparent issue.
For now, SpaceX continues to prepare Ship 24 sections for stacking and appears to be buttoning up Booster 7, which could easily be ready to roll out for basic testing within a few weeks – and maybe sooner.
News
SpaceX President Gwynne Shotwell details xAI power pledge at White House event
The commitment was announced during an event with United States President Donald Trump.
SpaceX President Gwynne Shotwell stated that xAI will develop 1.2 gigawatts of power at its Memphis-area AI supercomputer site as part of the White House’s new “Ratepayer Protection Pledge.”
The commitment was announced during an event with United States President Donald Trump.
During the White House event, Shotwell stated that xAI’s AI data center near Memphis would include a major energy installation designed to support the facility’s power needs.
“As you know, xAI builds huge supercomputers and data centers and we build them fast. Currently, we’re building one on the Tennessee-Mississippi state line. As part of today’s commitment, we will take extensive additional steps to continue to reduce the costs of electricity for our neighbors…
“xAI will therefore commit to develop 1.2 GW of power as our supercomputer’s primary power source. That will be for every additional data center as well. We will expand what is already the largest global Megapack power installation in the world,” Shotwell said.
She added that the system would provide significant backup power capacity.
“The installation will provide enough backup power to power the city of Memphis, and more than sufficient energy to power the town of Southaven, Mississippi where the data center resides. We will build new substations and invest in electrical infrastructure to provide stability to the area’s grid.”
Shotwell also noted that xAI will be supporting the area’s water supply as well.
“We haven’t talked about it yet, but this is actually quite important. We will build state-of-the-art water recycling plants that will protect approximately 4.7 billion gallons of water from the Memphis aquifer each year. And we will employ thousands of American workers from around the city of Memphis on both sides of the TN-MS border,” she noted.
The Ratepayer Protection Pledge was introduced as part of the federal government’s effort to address concerns about rising electricity costs tied to large AI data centers, as noted in an Insider report. Under the agreement, companies developing major AI infrastructure projects committed to covering their own power generation needs and avoiding additional costs for local ratepayers.
News
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.
SpaceX President Gwynne Shotwell details xAI power pledge at White House event
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
