SpaceX has confirmed that the two large propellant tanks now present at its Boca Chica, Texas facilities will likely to be the last major ground tanks needed to enable the first test flights of the upper stage of its next-gen BFR rocket, known as the Big Falcon Spaceship (BFS).
Expected to begin as soon as late 2019, SpaceX executives have recently reiterated plans for a campaign of hop tests for the first full-scale spaceship prototype, in which the ship will follow in the footsteps of its Falcon 9-based Grasshopper and F9R predecessors.
https://twitter.com/krgv_mike/status/1055748966619537408
In a comment provided to a number of local outlets, SpaceX Communications Specialist Sean Pitt stated this about the recent arrival of a second large propellant storage tank at the company’s prospective South Texas test and launch facilities.
“The ongoing construction of our launch pad in South Texas is proceeding well. SpaceX has now received the final major ground system tank needed to support initial test flights of the Big Falcon Spaceship.” – Sean Pitt, SpaceX
While there may have been some slight uncertainty before, this official statement confirms beyond the shadow of a doubt that SpaceX is actively and rapidly preparing its South Texas property for a future of BFR-related tests, spaceship hops, and perhaps even launches.
Same dance, different hops
Unlike Falcon 9’s Grasshopper and F9R reusability development programs, SpaceX’s BFS hop test campaign is likely going to be much more aggressive in order to gather real flight-test data on new technologies ranging from unfamiliar aerodynamic control surfaces (wings & fins vs. grid fins), all-composite propellant tanks (Falcon uses aluminum-lithium), a 9m-diameter vehicle versus Falcon’s 3.7m, a massive tiled heat-shield likely to require new forms of thermal protection, and entirely new regimes of flight (falling like a skydiver rather than Falcon 9’s javelin-style attitude) – to name just a handful.
To fully prove out or at least demonstrate those new technologies, BFS hop testing is likely to be better described as “flight testing”, whereby the spaceship launches vertically but focused primarily on regimes where horizontal velocity is far more important than vertical velocity.
“But by ‘hopper test,’ I mean it’ll go up several miles and then come down. The ship will – the ship is capable of a single stage to orbit if you fully load the tanks. So we’ll do flights of increasing complexity. We really want to test the heat shield material. So I think we’ll fly out, turn around, accelerate back real hard and come in hot to test the heat shield because we want to have a highly reusable heat shield that’s capable of absorbing the heat from interplanetary entry velocities, which is really tricky.” – CEO Elon Musk, October 2017
Focusing on the important things (for fully-reusable rockets)
SpaceX does has significant familiarity with the general style of testing expected to be used to prove out its next-gen spaceship, a major department from anything the company has yet built or flown. Updated in September 2018 by CEO Elon Musk, the craft’s most recent design iteration is reportedly quite close to being finalized. That near-final design prominently features a trio of new aft fins (two able to actuate as control surfaces), two forward canards, and an updated layout of seven Raptor engines.
Critically, SpaceX has decided to commonize BFR’s main propulsion, choosing to skip the performance benefits of a vacuum-optimized Raptor variant for the simplicity and expediency of exclusively using sea level Raptors on both the booster and spaceship. This decision is ultimately strategic and well-placed: rather than concerning early-stage development with the inclusion of a second major branch of onboard propulsion, the company’s engineers and technicians can place their focus almost entirely on a one-size-fits-all version of BFR with plenty of room for upgrades down the road.
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- BFS seen standing vertically on the pads of its tripod fins. (SpaceX)
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- (SpaceX)
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- A better view. (SpaceX)
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- BFR’s booster and spaceship separate a few minutes after launch. (SpaceX)
With a rocket as large as BFR and a sea level engine already as efficient as Raptor, the performance downgrade wrought by the initial removal of Raptor Vacuum (RVac) is scarcely more than a theoretical diversion. The specific performance numbers remain to be seen but will likely be greater than 100 metric tons (~220,000 lbs) to low Earth orbit (LEO). Past a certain point, however, the actual performance to LEO and beyond is almost irrelevant, at least from a perspective of individual launches. The paradigm SpaceX is clearly already interrogating is one where the cost of individual launches is so low relative to today’s expendable launch pricing ($5,000-20,000/kg to LEO) that it will almost be anachronistic to design or work with a single-launch-limit in mind, a limit that is just shy of a natural law in the spaceflight industries of today.
Because SpaceX has already demonstrated expertise in vertically launching, landing, and generally controlling large rockets, the main challenges faced with BFR are more operational than purely technical. To be clear, the technical challenges are still immense, but successfully solving those challenges by no means guarantees that the aircraft-like operational efficiency needed for BFR to succeed can or will be fully realized.
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- A gif of Raptor throttling over the course of a 90+ second static-fire test in McGregor, Texas. (SpaceX)
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- SpaceX’s subscale Raptor engine has completed more than 1200 seconds of testing in less than two years. (SpaceX)
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- A closeup of BFS’ nose section, featuring impressively varied tile-sizes, joining methods, and extremely precise curves on the interface between canard wings and the hull. (SpaceX)
In 2016, Musk pegged SpaceX’s cost goals for a BFR-style fully-reusable rocket at less than $1M per launch for booster and spaceship maintenance alone, or $3.3M per launch with amortization (paying for the debt/investment incurred to fund BFR’s development) and propellant estimates included. To realize those ambitious costs, SpaceX will effectively have to beat the expendable but similarly-sized Saturn V’s per-launch costs (~$700M) by a factor of 100 to 200 – more than two orders of magnitude – and SpaceX’s own Falcon 9 and Heavy launch costs (~$55M to $130M) by 20-50X.
To even approach those targets, SpaceX will need to learn how to launch Falcon and BFR near-autonomously with near-total and refurbishment-free reusability, while also developing and demonstrating orbital refueling capabilities that do not currently exist and rapidly maturing large-scale composite tankage and structures. None of those things require Raptor Vacuum.
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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
