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Elon Musk: SpaceX’s first orbital Starship launch “highly likely” in Q1 2023
SpaceX’s first Starship orbital launch mount (OLM) appears to have passed a busy week of stress-testing, clearing the way for the company to transport a finished Super Heavy booster to the pad.
Using the same launch mount, that Starship booster is expected to attempt to complete some of the riskiest and most challenging tests SpaceX has ever conducted at its Starbase rocket development facilities. The schedule for that testing is unclear, but after an unusually drawn-out period of qualification testing, Super Heavy Booster 7 (B7) could soon attempt a full static fire test of all 33 of its Raptor 2 engines. Either before or after that crucial test, SpaceX is also expected to install Ship 24 (S24) on top of Super Heavy B7 for Starship’s first full-stack “wet dress rehearsal.”
Ultimately, if that testing produces the results SpaceX wants to see, CEO Elon Musk says that Starship could attempt its first orbital launch as early as late February or March 2023.
We have a real shot at late February. March launch attempt appears highly likely.— Elon Musk (@elonmusk) January 8, 2023
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
Booster 7
Super Heavy B7 first left SpaceX’s Starbase factory in March 2022 and has been in a continuous flux of testing, repairs, upgrades, and more testing in the nine months since. The 69-meter-tall (~225 ft), 9-meter-wide (~30 ft) steel rocket was severely damaged at least twice in April and July, requiring weeks of substantial repairs. But neither instance permanently crippled the Starship booster, and Booster 7 testing has been cautious but largely successful since the rocket’s last close call.
Following its return to the OLS in early August, Super Heavy B7 has completed six static fire tests of anywhere from one to fourteen of its 33 Raptor engines. It has almost certainly dethroned Falcon Heavy to become the most powerful SpaceX rocket ever tested. And on January 8th, 2023, SpaceX rolled the rocket back to Starbase’s orbital launch site (OLS) for the seventh time. According to statements made by CEO Elon Musk and a presentation from a NASA official, the last major standalone test between Booster 7 and flight readiness is a full 33-engine static fire. Together, B7’s 33 Raptor 2 engines could produce up to 7600 tons (16.7 million lbf) of thrust at sea level, likely making Starship the most powerful rocket stage in the history of spaceflight.
Ship 24
Starship prototype S24’s path has been a bit less rocky. The ship has needed some less obvious repairs, particularly right after its first tests in May 2022. Since August 2022, Ship 24 has completed three static fire tests – all seemingly successful. Most importantly, one of those tests ignited all six of S24’s Raptor engines, potentially qualifying it for an orbital launch attempt. Most recently, SpaceX completed a series of mysterious repairs, replaced and static-fired one of S24’s engines, and removed the Starship from its test stand.
With Booster 7 now awaiting installation on Starbase’s orbital launch mount and Ship 24 near-simultaneously removed from its test stand, it appears that SpaceX may attempt a different test before Super Heavy’s full static fire. Instead, SpaceX could start by stacking Ship 24 and Booster 7 and conducting a full-stack wet dress rehearsal (WDR) before shifting focus to Booster 7’s riskier static fire.
A wet dress rehearsal is a routine test conducted before a rocket launch and is generally designed to simulate every aspect of a launch save for engine ignition and liftoff. Most importantly, that involves fully filling the rocket with propellant and passing all of the checks the same rocket would need to pass to be cleared for launch. For Starship, the largest rocket ever built, a full propellant load means filling both stages with an extraordinary ~5000 tons of liquid oxygen and liquid methane propellant. SpaceX also needs to fill the rocket fast enough to keep that propellant supercool, which increases its density and overall performance.
The first full-stack WDR will thus test Starbase’s launch facilities just as much as Booster 7 and Ship 24. SpaceX has conducted many several Starship WDRs, but not with Ship 24. It’s also never fully filled a Super Heavy booster with real propellant, let alone both stages at once. It’s likely that issues will be discovered as SpaceX pushes the envelope, likely requiring multiple attempts.
OLS
In the spirit of caution, SpaceX has even taken the unusual step of stress-testing Starship’s orbital launch mount with a custom jig. In the first week of 2023, SpaceX used that jig to load pairs of the OLM’s 20 hold-down clamps with hundreds of tons of ballast, ensuring that they can withstand the immense weight of a fully-fueled Starship. Proof tests of Super Heavy B4 and B7 have likely subjected the OLM to 2000+ tons of force, but a full Starship will weigh more than double the maximum weight the OLM has experienced to date.
Plenty of risk remains and SpaceX is trading speed for caution, but this extra-cautious step has likely reduced the risk of the launch mount’s structure failing during wet-dress and static fire testing. According to Musk, SpaceX has a “real shot” at preparing Starship for a “late February” orbital launch attempt. Nonetheless, Musk also implied that a full-stack WDR and 33-engine static fire would “probably” be completed “in a few weeks” in September 2022. What is clear is that SpaceX is more committed than ever before to avoiding a catastrophic failure during Starship’s first orbital launch attempt.
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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
