News
SpaceX set to finish three Starship prototypes in the same month
SpaceX appears to be on track to complete its third Starship prototype in a month just days after the company finished testing a new steel tank and at the same time as it prepares to roll another full-scale ship to the launch pad.
Postponed by several weeks after the (fleeting) success of the Starship serial number 4 (SN4) prototype, violently destroyed by a minor testing mishap on May 29th, SpaceX’s fifth full-scale Starship tank section (SN5) could roll to an adjacent testing facility at any point in the next few days. In fact, SN4’s successor has likely been ready to begin tank proof and static fire testing for several weeks since it was stacked to its full height on May 12th. SN4 rolled to the launch pad on April 23rd and remained SpaceX’s top Starship priority until its demise more than a month later.
As it turns out, the explosion that destroyed the ship also launched a ~25 metric ton (~55,000 lb) counterweight installed a few days prior some 100m (300+ ft) into the air, where it proceeded to fall back to earth and obliterate the steel mount Starship SN4 sat on. The loss of that pad hardware necessitated its own several-week delay but SpaceX appears to be nearly done installing and outfitting replacements as of June 18th – an incredible turnaround given the scale and complexity of everything involved. Of course, the whole purpose of those rapid repairs is to get back to the business of testing Starships as quickly as possible.
SN5
Initially expected as early as 8am local on June 17th, Starship SN5’s trip to the launch pad has been a long time coming. Completed around May 20th after approximately a month of concerted effort, the ~30m (100 ft) tall tank departed SpaceX’s Vehicle Assembly Building (VAB) for the first on June 13th, although it was quickly moved back inside as technicians simultaneously worked to complete Starship SN6.
Previously scheduled to become the first Starship to reach its full height with the installation of a functional nosecone, SN5 will likely pick up where SN4 left off, instead. That process will effectively be no different, albeit sans nosecone, starting with ambient and cryogenic proof (pressure) tests and eventually moving to one or several static fires with either one or three Raptor engines. Testing the quick disconnect umbilical port that caused SN4’s demise will also likely be a priority. If all goes according to plan in that first week or two of tests, SpaceX may finally be ready to launch a full-scale Starship prototype for the first time, performing a 150m (~500 ft) hop test with SN5.
However, since CEO Elon Musk first discussed plans for an initial 150m hop test, SpaceX received a surprise suborbital launch license from the FAA, rather than the limited experimental permit most expected. That license effectively allows SpaceX to perform an unlimited number of Starship tests as long as the trajectory follows the administration’s strict safety guidelines and remains suborbital. Unless SpaceX’s ~150m target was based in some technical limitation, the sky is quite literally the limit for a more ambitious flight debut if the company believes Starship SN5 can handle it.
SN6
In the event that Starship SN5 follows its predecessor into a less early (but still early) grave, SpaceX thankfully won’t have to wait long at all to continue its hardware-rich test program. When Starship SN5 first departed the VAB on June 13th, it did so to give SpaceX room to finish Starship SN6, placing its aft engine section on a stand inside the building and stacking the upper two-thirds of the ship’s tank on top.
Several days to a week or more of internal and external work remain to fully mate the two Starship SN6 sections, but the vast majority of its assembly is now behind SpaceX. SpaceX continues to refine its methods with each successive prototype, gradually producing Starships that are getting closer and closer to the ideal finished product. There’s a chance that, unlike Starship SN4, SN5 can be modified with the installation of a nosecone and flaps to support more ambitious 2-20 km (~1.2-12 mi) flight tests if it makes it over the 150m hurdle unscathed but if not, SN6 could become the first Starship to have a nosecone installed.
SN7
Last but absolutely not least, SpaceX recently built a new Starship test tank for the first time since March. While stouter than an actual Starship-class methane or oxygen tank, this particular test tank is maybe only 25% shorter than the methane tanks installed on Starship prototypes. According to Musk and effectively confirmed by writing all over the prototype, this particular test tank – formerly Starship SN7 – was built to determine if a different kind of steel could be preferable for future ships.
Shortly after the June 15th test began to wind down, Musk announced that the new material (304L stainless steel) had performed quite well, reaching 7.6 bar (110 psi) before it sprung a leak. The fact alone that it sprung a leak instead of violently depressurizing is already a major sign that 304L is preferable to 301L, as it means that Starships built out of it could fail much more gracefully in the event of a leak instead of collapsing or violently exploding. A step further, SpaceX has already managed to repair the leak on SN7 and will likely test the tank again in the next few days.
Meanwhile, Musk says that a second improved 304L test tank is already on its way, after which SpaceX will likely attempt to build and test the first fully-304L Starship prototype. Further down the line, SpaceX intends to develop its own custom steel alloy, optimized specifically for Starship’s needs. The first tests of that ’30X’ alloy could begin as early as August 2020 according to a February Musk tweet.
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
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
