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Elon Musk says SpaceX’s orbital Starship debut headed for FAA faceoff in a few weeks
CEO Elon Musk says that SpaceX’s first completed Starship rocket could be ready for its orbital launch debut just “a few weeks” from now – far sooner than most expected.
On August 6th, SpaceX very stacked that same vehicle – Starship 20 (S20) and Super Heavy Booster 4 (B4) – to its full height for the first time ever, briefly creating the largest rocket ever assembled. However, the feat was equally a symbolic photo opportunity. SpaceX did install an unprecedented number of Raptor engines on Booster 4 and Ship 20 in a spectacularly short timeframe and both stages are technically meant for flight, but Starship S20 was demated less than an hour later and shipped back to the factory shortly thereafter.
Though they’d had Raptors installed and been stacked to their full ~120m (~390 ft) height, neither booster or ship were truly complete and at least 20% of their engines had yet to be qualified at SpaceX’s McGregor, Texas test campus. Both needed a week or two of additional work – mostly just wiring avionics and installing secondary and tertiary plumbing. Curiously, on August 13th, Starship S20 was once again rolled to SpaceX’s Boca Chica launch site in a partial state of completion, where it now sits beside the orbital launch mount for unknown reasons.
After several days of delays, SpaceX also removed Super Heavy B4 from the orbital launch mount and returned it to the build site on August 11th, where teams are still working to finish its secondary plumbing and avionics. Like Ship 20, all of its Raptors were removed soon after its return, freeing both to complete cryogenic proof testing without risking dozens of potentially flightworthy rocket engines.
Like all previous Starship prototypes, those ‘cryo proof’ tests will involved loading Ship 20 and Booster 4 with supercool liquid nitrogen (LN2), simulating the weight and extreme thermal stress of real liquid oxygen (LOx) and methane (LCH4) propellant without the risk of a catastrophic fire or explosion in the event of anomalies.
For more than a month, SpaceX also gradually outfitted one of two suborbital launch mounts with special hydraulic rams that would have simulated the thrust of Ship 20’s three sea level and three vacuum-optimized Raptor engines – the first Starship prototype with such a configuration. The same was true for Booster 4 and SpaceX had outfitted a new test jig with nine hydraulic rams labeled “B4” – clearly meant to simulate the thrust of nine engines pushing against the Super Heavy’s thrust puck. Additionally, a far larger structural test tool unofficially nicknamed the ‘can crusher’ has been more or less finished after ~6 weeks of work, leading many to assume that Booster 4 would be the first Super Heavy to be subjected to the immense simulated thrust of 29 Raptor engines.
However, earlier this week, SpaceX completely disassembled the six hydraulic rams installed on Mount B and removed all nine rams from the apparent Booster 4 jig. Starship S20 was then rolled back to spot beside the orbital launch mount – not the suborbital mount that had been carefully prepared for its test campaign mere days prior. At the time, the only practical explanation – save for some kind of catastrophic miscommunication – was that SpaceX had cancelled clear plans to cryo proof Ship 20 and Booster 4 with simulated Raptor thrust.
Up to now, every single major design change implemented on Starship’s engine section has resulted in the first prototype – and often one or several test tanks – being subjected to cryo proof testing with a complex series of hydraulic rams used to simulate thrust. That most recently peaked with SpaceX’s lone BN2.1 Super Heavy test tank, which seemingly passed a cryo proof, pressure test, and a jig capable of simulating the thrust of up to eight Raptor engines. However, SpaceX has never tested Super Heavy’s new nine-engine thrust puck and has certainly never subjected a Super Heavy booster skirt to the combined thrust of 20 outer engines and 9 center engines.
The fact that complex custom test stands and jigs had already been assembled and installed for Ship 20 and Booster 4 before they were removed or disassembled without use strongly implies that someone at SpaceX – presumably Elon Musk himself – has either decided that those tests are unnecessary or that skipping them is worth the substantial risk. Indeed, for Musk’s subsequent August 15th claim that Ship 20 and Booster 4 could be stacked and ready for flight just “a few weeks” from now to come true, 14-21 days is simply nowhere close to enough time to cryo proof, thrust sim, and static fire both vehicles; integrate the stages; and perform the first true integrate testing of a Starship stack – possibly up to and including some combination of a full-stack cryo proof, wet dress rehearsal, or static fire.
And, as Musk himself notes, that complex ballet of first-of-their-kind rocket prototypes might not even be the long straw for Starship’s orbital launch debut. Technically, short of some kind of major legal intervention, there is actually no way for Starship to launch in the next “few weeks.” In an absolute best-case scenario, the Federal Aviation Administration (FAA) would release a draft environmental review of SpaceX’s orbital Starship launch site today, accept public comments for the required 30 days, instantly clear Starbase with environmental approval within a few days of the public comment window, and then approve Starship’s South Texas orbital launch license as soon as the necessary environmental permissions are in hand.
In other words, the best-case ETA of regulatory approvals for Starship’s first orbital test flight is arguably late September and going off of FAA precedent, that optimistic scenario is also a fairy tale. In reality, a bare minimum of 2-3 months after the FAA releases its draft environmental impact statement is a more realistic best-case scenario for SpaceX. On the opposite end, it’s possible that the FAA will decide that SpaceX needs to complete an entirely new environmental review for its Starbase launch site, easily delaying Starship’s orbital launch debut by 6-12+ months. That doesn’t even account for the potential looming challenges SpaceX might have to surmount to secure an orbital Starship launch license.
Given the challenges SpaceX had in securing even a watered-down suborbital launch license for its medium-altitude Starship flight tests, it’s not out of the question that the FAA could attach some extremely onerous limitations to that license. Ultimately, only time (and the slightest hint of actual movement or urgency at the FAA) will tell and there is arguably nothing that would better apply pressure in the right places than the largest, most powerful, most ambitious rocket ever built sitting – ready for flight – at a brand new launch pad, waiting solely on regulatory approval.
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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.
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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
