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Blue Origin launches first suborbital tourists after six years and 15 test flights
More than six years after New Shepard’s first test flight and nine years after a pad abort featuring a prototype of the rocket’s capsule, Blue Origin has launched its first crew of suborbital tourists.
Almost exclusively funded by Amazon CEO Jeff Bezos’ stock sales over more than 21 years of operations, Blue Origin has been working towards New Shepard’s first crewed launch for approximately a decade. Aside from a pad abort test of the rocket’s relatively simple ‘crew capsule’ in October 2012, New Shepard – purported to be fully reusable – has performed 15 uncrewed test flights since April 2015. At least according to Blue Origin, of those 15 tests, 14 were fully successful and 11 crossed the 100 km (~62 mi) Karman Line – a largely arbitrary line drawn between Earth’s atmosphere and space.
Six years and three months after New Shepard’s first flight, the rocket lifted off on its 16th suborbital mission and inaugural crewed launch. Along for the ride were Jeff Bezos himself, brother Mark Bezos, hedgefund multimillionaire Joes Daemen’s son Oliver Daemen, and trailblazing pilot and aviator Mary “Wally” Funk.
While New Shepard NS-16 reached an apogee of 107 km (66 mi) and a maximum speed of 2233 mph (1 km/s / Mach 2.9), less than 13% of the way to orbit, the mission did mark a number of “spaceflight” firsts insofar as its passengers did technically spend between 70 and 150 seconds in “space.” Notably, NS-16 passengers Oliver Daemon and Wally Funk are now respectively the youngest and oldest people in history to reach space. While Blue Origin hasn’t disclosed the value of his second-place bid, Oliver Daemen was technically a paying customer, making New Shepard the first rocket in history to launch a paying passenger on its first crewed flight.
In June, Blue Origin held a tone-deaf auction that ultimately resulted in a mystery buyer winning the first ticket on New Shepard at a jaw-dropping cost of $28 million – just shy of the $30M Richard Garriott paid to ride a Soyuz rocket to space, spend almost two weeks in orbit, and scream back to Earth at Mach 25. Bizarrely, the company still hasn’t revealed the winner, at no point mentioned that there would be runners-up, inexplicably swapped the mystery winner for Oliver Daemen with “scheduling issues” as the comical excuse, and has yet to reveal what Daemen paid for his ticket. In general, Blue Origin still refuses to provide any information about the price of seats on New Shepard.
Meanwhile, although Blue Origin did provide invite-only access to some media outlets and offered numerous interview opportunities with the NS-16 crew, there have been virtually zero chances for reporters and journalists to ask real questions. Beyond New Shepard, which raises dozens of questions on its own, Blue Origin’s orbital New Glenn rocket is years behind schedule and apparent issues with the BE-4 engine meant to power both it and the United Launch Alliance’s (ULA) Vulcan has also significantly delayed the latter rocket’s launch debut.
For the last several years, Vulcan and New Glenn were both aiming for a launch debut sometime in 2020. Both targets eventually slipped to 2021 and as of 2021, Vulcan is now expected to launch no earlier than early 2022 and New Glenn’s debut has slipped to “late 2022” – likely meaning 2023.
On its own, New Shepard has had one of the most bizarre development paths of any rocket in history. Despite virtually unlimited resources from Bezos’ average sale of billions of Amazon stock each year and the fact that New Shepard is a fully reusable rocket that demonstrated the ability to fly twice in ~60 days in 2016, Blue Origin has only launched the rocket 15 times in the 75 months before NS-16. The company has never once implied that New Shepard suffered major issues during any of its test flights, save for NS-1’s failed booster recovery (though Blue has generally glossed over or ignored that lone failure).
Somewhat coincidentally, New Shepard’s first test flight occurred just a few weeks before SpaceX attempted the first major test of a partially integrated Crew Dragon prototype, resulting in a successful pad abort test in May 2015. Despite several significant, documented delays, less than four years later, Crew Dragon aced an uncrewed orbital launch to the ISS and back to Earth. 14 months after Demo-1, SpaceX became the first private company in history to launch astronauts to orbit. Less than six months after that historic launch and four months after Crew Dragon returned two NASA astronauts to Earth, SpaceX launched its first operational four-astronaut mission to the ISS.
In the same period that Blue Origin completed five uncrewed New Shepard test flights, SpaceX launched Crew Dragon’s Demo-1, In-Flight Abort, Demo-2, Crew-1, and Crew-2 missions, carrying six astronauts to orbit and back and delivering another four to the ISS (where they still are). Not only did SpaceX also launch five Crew Dragons, but April 2021’s Crew-2 mission marked the first time in history that astronauts launched on a flight-proven liquid rocket booster and a flight-proven space capsule, beating Blue Origin to the punch despite the far greater challenges and risks posed by orbital spaceflight.
Put simply, it’s disappointing but not exactly surprising that Blue Origin continues to go to great lengths to avoid having to answer questions that haven’t been obviously vetted or preselected.
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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
