News
SpaceX making good progress towards Super Heavy static fire campaign
SpaceX appears to be making great progress towards the start of its first full Super Heavy static fire campaign, building upon extensive Starship testing and a single booster static fire completed in July 2021.
On May 14th, upgraded Super Heavy booster B7 was moved back to SpaceX’s South Texas Starbase Starship factory after completing a successful round of tests and smoothing out an otherwise rocky start to its life. It was not the booster’s first time on that journey: after first leaving the Starbase ‘nest’ on March 31st, Booster 7 suffered significant internal damage during a structural stress test on April 14th and was forced to return to the factory for repairs. Impressively, despite the cramped environment and extremely limited access to the interior of the Super Heavy’s primary and secondary propellant tanks, SpaceX engineers and technicians somehow completed those repairs and Booster 7 sailed through a new round of ‘cryoproof’ testing on May 9th and 11th.
In the ~20 days since its second return, SpaceX teams have been hard at work preparing Super Heavy B7 for its next major challenges – the results of which could determine whether the massive rocket helps launch a Starship into space later this year.
That goal, same as it has been for half a year, is to qualify the first Super Heavy booster for flight. To do so, SpaceX must – at long last – static fire a Super Heavy with all necessary Raptor engines installed. For Booster 7 and its near-term successors, that means 33 new “Raptor 2” engines capable of generating a total of ~7600 metric tons (~16.7M lbf) of thrust.
That’s exactly what SpaceX workers have been focused on doing since Booster 7’s second return to a Starbase assembly bay. Bit by bit, they have spent every day since installing Raptor 2 engines one at a time. Unfortunately, due to the Super Heavy’s relocation inside a brand new assembly building known as the Megabay, High Bay 2, or Wide Bay, the half-dozen or so unaffiliated photographers who have come to regularly photograph Starbase have yet to find an angle that shows the state of that engine installation progress.
Two weeks later, it’s clear that SpaceX is taking its time, which likely also implies that the company is simultaneously encasing Booster 7’s Raptors and engine section in shrouds that will protect them during static fire testing; as well as during launch, reentry, and landing if B7 makes it that far. That’s not guaranteed, however, and it could also simply be that installing 33 engines on the first attempt at installing any Raptor 2s on any rocket has proven much harder than expected.
On June 1st, CEO Elon Musk appeared to confirm that engines are still being installed on Super Heavy B7, but he also verified that “all Raptor 2 engines needed for [the] first orbital flight are complete.” That could include Starship S24, which needs three sea-level Raptor 2s and three vacuum-optimized Raptor 2s, but it’s still great news even if he only means it for Booster 7. SpaceX has been spotted delivering at least a handful of new Raptor 2 engines a week for the last month or two, which means that all 33 engines may already be onsite at Starbase. If some are still undergoing proof testing at SpaceX’s McGregor, Texas facilities, it could be a few more weeks before all necessary engines are onsite, but that milestone is likely close at hand if it hasn’t already been reached.
For Super Heavy Booster 4, which was inexplicably never static-fired, installation of all 29 of its Raptor 1 engines took just a few days, but the installation of a heat shield around those engines took at least a few weeks. On June 1st, SpaceX also began installing grid fins on Super Heavy B7, further indicating the company’s growing confidence in the booster.
Outside of booster outfitting, SpaceX has also been aggressively refilling the Starbase orbital launch site’s (OLS) massive tank farm, which is capable of storing, subcooling, and distributing thousands of tons of liquid oxygen (LOx), liquid methane (LCH4), liquid nitrogen (LN2), and a variety of gases. For a full wet dress rehearsal (WDR), which has also never been done with Super Heavy, SpaceX would need to fill the booster with around 3400 tons (7.5M lb) of propellant. Out of an abundance of caution, Super Heavy B7 will likely have far less propellant aboard during almost all of its static fire tests, but a full static fire with a full load of propellant – simulating most prelaunch conditions – will likely be one of the last main goals of any static fire campaign. At full thrust, 33 Raptor 2 engines will likely burn around 25 tons (~55,000 lb) of propellant per second, so a huge amount of propellant will be needed regardless.
In the same series of June 1st tweets, Musk also confirmed that SpaceX intends to proceed cautiously into its first true Super Heavy static fire campaign, testing engines “just one at a time at first.” Musk probably isn’t being literal, as a campaign in which Booster 7 tested every one of its 33 Raptors individually could easily take weeks, so it’s likely safe to interpret his words to mean that SpaceX is not going to leap straight from the first limited test of one or a few engines to all 13 center engines, all 20 outer ‘boost’ engines, or all 33 engines at once.
Almost three weeks into the process of engine and heat shield installation, Booster 7 could potentially be ready to return to the orbital launch site any day now, though there’s probably an equal chance that it’s still a few weeks away. Nonetheless, SpaceX is on the cusp of kicking off one of the most exciting and important test campaigns in the history of Starship.
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.
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
