News
Blue Origin scraps New Glenn recovery ship, finishes first ‘test tank’
After four years of halting work, Blue Origin has fully abandoned a transport ship it once intended to convert into a landing platform for its orbital-class New Glenn rocket.
Known as Stena Freighter at the time of sale, Blue Origin purchased the ship for an undisclosed sum – likely several million dollars – sometime in mid-2018. Aside from a flashy, December 2020 re-christening ceremony in which Blue Origin owner Jeff Bezos named the vessel Jacklyn after his late mother, the private aerospace company left the ship largely untouched in a Florida port. Small teams of workers would occasionally work on retrofitting the roll-on/roll-off cargo ship for a future life as a rocket recovery asset but made very little visible progress despite working on Jacklyn for several years.
Now, a few months after a Blue Origin spokesperson first acknowledged that the company was evaluating “different options” for New Glenn booster recovery, Jacklyn has left Florida’s Port of Pensacola for the Texan Port of Brownsville, where documents show that the ship will be scrapped.
According to an unconfirmed report, Blue Origin may ultimately use the same contractors as SpaceX to turn existing barges into ocean-going rocket-landing platforms. Blue Origin had hoped that a large, keeled ship would allow it to launch New Glenn and still recover its expensive booster even if seas were stormy downrange. However, after 107 successful SpaceX Falcon booster landings on flat-bottomed barges that are exceptionally sensitive to wave conditions, just a tiny fraction of launches have been delayed by the ocean. Further, SpaceX has only lost one booster to waves, and it solved that problem by developing a relatively cheap robot. With the benefit of hindsight, it’s not hard to see why Blue Origin changed its mind.
Much like SpaceX’s next-generation Starship rocket, Blue Origin began work on its semi-reusable New Glenn rocket in the early 2010s. Jeff Bezos publicly revealed New Glenn just a few weeks before CEO Elon Musk’s long-planned September 2016 reveal of SpaceX’s next rocket, then known as the Interplanetary Transport System (ITS). Both were massive, meant to be powered by huge new methane/oxygen-fueled engines, and designed from the ground up with some degree of reusability in mind.
But with fairly different designs and wildly different development philosophies, the paths of Blue Origin and SpaceX have only gotten further apart over the last six years. SpaceX thoroughly redesigned its next-generation rocket multiple times before throwing out a large portion of that prior work and settling on an unexpected stainless steel variant that CEO Elon Musk christened Starship in late 2018. Further differentiating the companies, SpaceX began work on steel prototypes almost immediately and successfully built and flew a scrappy pathfinder – powered by an early version of the same Raptor engine meant for Starship – less than a year later.
SpaceX then improvised a factory out of a series of tents and began churning out and testing dozens of more refined prototypes, seven of which would go on to perform flight tests between August 2020 and May 2021. SpaceX’s last test flight ended with a full-size steel Starship prototype successfully landing after launching to an altitude of 10 kilometers (~6.2 mi). Testing slowed considerably after that success but SpaceX appears to have begun ramping up again as it begins to test a Starship (S24) and Super Heavy booster prototype (B7) that have a shot at supporting the rocket’s first orbital launch attempt.
That orbital launch debut has been more or less continuously delayed for years and is about 20 months behind a tentative schedule Musk first sketched out (albeit for a drastically different rocket design) in 2016. Technically, the same is true for Blue Origin, which also said that it intended to debut New Glenn as early as 2020. However, while SpaceX can point to the instability of Starship’s design before 2019 as a fairly reasonable excuse for delays, the general characteristics of New Glenn’s design appear to be virtually unchanged despite its many delays. The smaller rocket – 7m (23 ft) wide and 98m (322 ft) tall to Starship’s 9m (30 ft) width and ~119m (~390 ft) height – will still use traditional aluminum alloys for most of its structures, will be powered by seven BE-4 engines, will land on several deployable legs, will have an expendable upper stage powered by two BE-3U engines, and will be topped with a large composite payload fairing.
Blue Origin canceled plans for a smaller interim fairing, abandoned plans to land the booster on a moving ship, and tweaked the booster’s landing legs and a few other attributes, but New Glenn is otherwise (visibly) unchanged from its 2016 reveal. Ultimately, that makes it even stranger that Blue Origin has done practically zero integrated testing of any major New Glenn components. Only in 2022 did the company finally complete and test a New Glenn payload fairing. Blue may have also built and tested a partial booster interstage, which the New Glenn upper stage will attach and deploy from.
But the true star of the show, at long last, is an apparent full-scale prototype of New Glenn’s upper stage. At minimum, Blue Origin’s first ‘test tank’ (using SpaceX parlance) should allow the company to finally verify the performance of New Glenn’s aluminum tank barrel sections and domes under cryogenic (ultra-cold) conditions. It’s unclear how (or if) Blue Origin intends to complete integrated static-fire testing of New Glenn’s upper stage before the rocket’s first launch, but it’s possible that the tank it finally delivered was designed to support testing with and without engines.
Nonetheless, Blue Origin hasn’t specified what it actually plans to do with its first New Glenn test tank and it’s even less clear why it has taken the company so long to complete one. While difficult, the methods Blue Origin is using to build New Glenn’s primary structures are about as standard as they get for modern rockets. Blue Origin itself even uses the same tech to build its smaller New Shepard rockets. So does SpaceX, ULA, Boeing, Arianespace, and virtually every other manufacturer of medium-to-large rockets, including NASA’s Space Launch System (SLS) core stage, which is wider than New Glenn.
The results of those challenges (managerial, technical, or otherwise) are clear: Blue Origin is nowhere close to debuting its next-generation rocket while competitors like Arianespace and ULA are tracking towards H1 2023 debuts of their Ariane 6 and Vulcan rockets. SpaceX, who is pursuing full reusability and really only settled on the design of its larger rocket in 2019, could even be ready to attempt an orbital-class launch with Starship before the end of 2022.
Still, the long-awaited beginning of hardware-rich New Glenn development appears to have finally arrived, and it’s possible that Blue Origin’s first orbital-class rocket could finally start picking up momentum towards its launch debut.
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
