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SpaceX rolls naked Starship prototype to test site

Ship 26 joins Ship 25 for proof testing. (NASASpaceflight - Starbase Live)

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SpaceX has rolled a strange, naked Starship prototype from its Starbase, Texas factory to a nearby test site.

Beginning with its cone-tipped nose section, SpaceX started stacking Starship S26 in October 2022. By early January 2023, the prototype had been stacked to its full 50-meter (~165 ft) height and welded together. After about six more weeks of outfitting, Ship 26 left Starbase’s High Bay assembly facility and was transported to one of two stands formerly used for suborbital Starship test flights.

SpaceX lifted Ship 26 onto Suborbital Pad A on the morning of February 12th. Just a few hundred feet to the left, Starship prototype S25 watched from Suborbital Pad B while waiting for the start of its Raptor engine test campaign. Ship 26 is four months younger than Ship 25 and rolled out without Raptors installed, as it still needs to pass several simpler tests. That’s far from the only difference between the Starships.

Starbullet

Aside from a range of smaller design changes, Ship 26 has three main differences relative to most prior Starships. First, it has zero heat shield tiles. Since the 2020-2021 period of suborbital Starship flight testing, all finished ships (S20, S21, S22, S24, S25) have been fitted with ~10,000 black, ceramic heat shield tiles. Eventually, those tiles will (theoretically) protect Starships from the intense heat created by reentering Earth’s atmosphere at orbital velocity.

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Ship 26 also has no flaps. Since SpaceX first fully assembled a Starship in October 2020, every ship the company has completed (SN8, SN9, SN10, SN11, SN15, SN16, S20, S21, S22, S24, S25) has had four large flaps and form-fitting ‘aerocovers’ installed. Starships need flaps to steer and orient themselves during orbital reentries. They also need flaps to control themselves during exotic landing maneuvers, which require ships to free-fall belly-down (like a human skydiver) and aggressively flip into a vertical orientation for propulsive landings.

Starship SN8 demonstrates the ‘bellyflop’ and flip maneuvers, which need flaps to ensure stability. (Richard Angle)
Beginning with Ship 20, all Starship flaps and bodies have been covered in thousands of heat shield tiles. (Richard Angle)

Finally, and most confusingly, Ship 26 has no payload bay of any kind. The end result is a smooth, featureless Starship that looks like a steel bullet, can’t return to Earth, and can’t deploy satellites. Combined, the fact it exists at all almost seems like an elaborate, multi-month mistake. But SpaceX clearly intended to build Ship 26 and is now preparing to qualify it for flight.

Depot, Moon lander, or something else?

In simpler terms, Ship 26 is an intentionally expendable Starship with no way to launch satellites. That raises the obvious question: why does it exist? There are a few obvious possibilities. SpaceX is developing at least four types of Starships. The Crew and Tanker Ships will have heat shields and flaps. The Starship Moon lander will have no flaps or heat shield and will be painted white and insulated. A Depot Ship with stretched tanks will stay in orbit permanently and store propellant for in-space refilling.

Based on low-resolution renders, the bullet-like Depot Ship is the most reminiscent of Ship 26. However, there’s no evidence that Ship 26 has “exterior optical properties [optimized] for long duration [propellant storage].” The prototype also lacks any of the hardware likely needed for docking or propellant transfer and has propellant tanks that are the same size as past ships. To survive in orbit for days or weeks, it would need some kind of power source – typically solar arrays – that isn’t present. And even if an expendable Starship like S26 can already achieve SpaceX’s reported target of 250 tons (~550,000 lb) to low Earth orbit, 250 tons is only a fifth of a full propellant load.

The Starship variants required for SpaceX’s NASA Moon landing contracts. (NASA)

Ship 26 could also be used for miscellaneous systems testing or a longevity demonstration in orbit. However, it’s unclear why SpaceX couldn’t simply do that with Ship 24 and Ship 25. Both have had their payload bays permanently sealed, meaning that they are only useful as test articles. The same is true for a tank-to-tank propellant transfer test SpaceX received a NASA contract to conduct in 2020. During that test, Starship will transfer “10 metric tons” of cryogenic liquid oxygen (LOx) between its main LOx tank and a smaller header LOx tank used to store landing propellant. But all Starships built to date have header tanks and could be used for the same test.

Ship 26 could exist primarily to demonstrate that a Starship with no flaps or heat shield tiles is aerodynamically stable during launch. However, expending an entire Starship for what amounts to wind tunnel testing would be extravagant.

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Preparing for flight

Regardless, Ship 26 is clearly destined for more than the scrapyard. The bullet-like prototype was installed on Suborbital Pad A, which SpaceX has modified for cryogenic proofing and structural testing. While coordinating with Ship 25, which needs to conduct static fire tests, Ship 26 will be pressurized and loaded with liquid nitrogen, liquid oxygen, or both to safely simulate the thermal and mechanical loads it will experience when filled with propellant. The stand is fitted with hydraulic rams that can simultaneously simulate the thrust of six Raptor engines (1380 tons / 3M lbf).

If it passes those tests, SpaceX will presumably return Ship 26 to the Starbase factory for Raptor installation. Strangely, the smooth Starship isn’t alone. It appears that Ship 27 will be more or less identical, with no heat shield or flaps. However, there’s evidence that Ship 27 will have the first working payload bay on a Starship and could be used to deploy full-size Starlink V2 satellites in addition to any other testing SpaceX wants to use it for.

The most exotic (and unlikeliest) explanation for Ship 26 and Ship 27 is that the pair is meant to support SpaceX’s first Starship docking and propellant transfer test. In October 2022, a NASA official indicated that SpaceX’s second Starship test flight would be a “Starship-to-Starship propellant transfer.”

For now, SpaceX’s priority is preparing Ship 24 and Super Heavy Booster 7 for Starship’s first orbital launch attempt, followed by preparing Ship 25 and Booster 9 for the second orbital test flight. Until then, Ship 26 and Ship 27 will likely remain a bit of a mystery.

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.

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Credit: Tesla

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:

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.

Tesla ends Full Self-Driving purchase option in the U.S.

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:

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.

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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.

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Credit: Tesla

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.

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Tesla-Chips-HW3-1
Credit: Tom Cross

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).

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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.

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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.

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