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SpaceX set to launch NASA astronauts first after Boeing narrowly avoids catastrophe in space
SpaceX is set to become the first private company to launch NASA astronauts as few as three months from now, all but guaranteed after Boeing’s competing Starliner spacecraft narrowly avoided a catastrophe in space on its orbital launch debut.
The ultimate purpose of NASA’s Commercial Crew Program (CCP) is to ensure that the US is once again able to launch its own astronauts into orbit and to the International Space Station (ISS) – a capability the country has not possessed since it prematurely canceled the Space Shuttle in 2011. In a logical step, NASA decided to fund two independent companies to ensure that astronaut launch capabilities would be insulated against any single failure, ultimately awarding contracts to Boeing and SpaceX in 2014. Boeing did actually try to have Congress snub SpaceX back in 2014 and solely award the contract to Starliner, but the company thankfully failed.
As a result, SpaceX beating Boeing on the (not-a-) race to launch NASA astronauts to the International Space Station (ISS) would represent an immense and deeply embarrassing upset in the traditional aerospace industry – essentially a case of David and Goliath. For the better part of a decade, Congress, most industry officials, and Boeing itself have argued ad nauseum the Starliner spacecraft was clearly a far safer bet than anything built by SpaceX – Boeing, obviously, has far more experience (“heritage”) in the spaceflight industry. However, multiple “catastrophic” failures during Boeing’s recent Starliner ‘Orbital Flight Test’ (OFT) paint a far uglier picture.
As its PR team and executives will constantly remind anyone within earshot, Boeing helped build the first stage of the Saturn V rocket, while a company it bought years after the fact (Rockwell) did technically buy the company (North American) that built the spacecraft (Apollo CSM) that carried NASA astronauts from the Earth to the Moon (and back). Rockwell (acquired by Boeing) also built all five of NASA’s Space Shuttle orbiters.
In the 1990s, Boeing – set to lose a competition to build an expendable rocket for the US military – acquired McDonnell Douglas at the last second, slapping a Boeing sticker on the Delta IV rocket – designed and built by MD. Boeing then conspired to steal trade secrets from Lockheed Martin (bidding Atlas V) and used that stolen info to mislead the USAF about the real cost of Delta IV, thus securing the more lucrative of two possible contracts. This is all to point out the simple fact that Boeing has far less real experience designing spacecraft than it tends to act like it does.
As such, it’s substantially less surprising than it might otherwise be that Boeing’s Starliner spacecraft has had such a rocky orbital launch debut. Preceded just a matter of weeks by a quality assurance failure that prevented one of Starliner’s four parachutes from deploying after an otherwise-successful pad abort test, a second Starliner spacecraft launched atop an Atlas V rocket on its orbital launch debut (OFT) on December 20th, 2019. Atlas V performed flawlessly but immediately after Starliner separated from the rocket, things went very wrong.
Bad software ultimately caused the spacecraft to perform thousands of uncommanded maneuvering thruster burns, depleting a majority of its propellant before Boeing was able to intervene. Starliner managed to place itself in low Earth orbit (LEO), but by then it had nowhere near enough propellant left to rendezvous and dock with the ISS – one of the most crucial purposes of the uncrewed flight test. Unable to complete that part of the mission, Boeing instead did a few small tests over the course of 48 hours in orbit before commanding the spacecraft’s reentry and landing on December 22nd.
But wait, there’s more!
As it turns out, although both NASA and Boeing inexplicably withheld the information from the public for more than two months, Boeing’s OFT Starliner spacecraft reportedly almost suffered a second major software failure just hours before reentry. According to NASA and Boeing comments in a press conference held only after news of that second failure broke after an advisory panel broached the issue in February 2020, a second Starliner software bug – caught only because the first failure forced Boeing to double-check its code – could have had far more catastrophic consequences.
NASA officials stated that had the second bug not been caught, some of Starliner’s thruster valves would have been frozen, either entirely preventing or severely hampering the spacecraft’s detached trunk from properly maneuvering in orbit. Apparently, that service module (carrying fuel, abort engines, a solar array, and more) could have crashed into the crew module shortly after detaching from it. Unsurprisingly, that ‘recontact’ could have severely damaged the Starliner crew capsule, potentially making reentry impossible (or even fatal) if its relatively fragile heat shield bore the brunt of that impact.
SpaceX has undeniably suffered its own significant failures, most notably when flight-proven Crew Dragon capsule C201 exploded moments before a static fire test, but the company has already proven that it fixed the source of the failure with the spacecraft’s second successful launch on a Falcon 9 rocket. Ultimately, it’s becoming nearly impossible to rationally argue that Boeing’s Starliner will be safer than SpaceX’s Crew Dragon – let alone worth the 40% premium Boeing is charging NASA and the US taxpayer.
According to Ars Technica’s Eric Berger, Crew Dragon’s inaugural astronaut launch is now tentatively scheduled as early as late-April to late-May 2020. Paperwork – not technical hurdles – is currently the source of that uncertainty, and all Demo-2 mission hardware (Falcon 9 and Crew Dragon) is either already in Florida or days away from arriving.
Due to the combination of similar software failures Starliner suffered during its first and only launch, Boeing now has to review the entirety of the spacecraft’s software – more than a million lines of code – before NASA will allow the company to launch again. There’s also a very good chance that Boeing will now have to repeat the Orbital Flight Test, potentially incurring major delays. In short, it would take nothing less than a miracle – or NASA making a public mockery of itself for Boeing’s benefit – for Starliner to launch astronauts before SpaceX.
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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
