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SpaceX Starship destroyed during cryo test but the next ship is already on the way

LabPadre's 24/7 livestream captured Starship SN3's final moments in spectacular detail. The cause of the ship's failure is unknown. (LabPadre)

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6 years ago

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SpaceX’s third full-scale Starship prototype has followed a little too closely in the footsteps of its predecessors, suffering a catastrophic failure during its first cryogenic test.

On April 2nd, SpaceX successfully put Starship SN3 through an ambient temperature pressure, allowing the ship to take its first breaths and ensuring that no leaks were present in its massive propellant tanks. Just a handful of hours later, Starship SN3 began its first attempted cryogenic proof test. Neutral liquid nitrogen was loaded into the ship’s liquid oxygen (LOX) tank for a brief period before SpaceX aborted the test due to frozen valves in the ground support equipment (GSE) tasked with feeding the rocket — confirmed by CEO Elon Musk around 7:30 pm PDT.

Around six hours after the first attempt, SpaceX presumably managed to alleviate GSE valve issues and began Starship SN3’s second attempted cryogenic proof test around 11pm local (04:00 UTC). While things started out somewhat normally, they did not end well for the rocket prototype.

The shiny aftermath of Starship SN3’s test failure. (LabPadre)

For unknown reasons, SpaceX began the second cryo test attempt by only loading Starship’s upper (LOX) tank with supercool liquid nitrogen. Given that Starship is constructed out of stainless steel sheets only slightly thicker than two US quarters, the lower (methane) tank would have almost certainly had to be pressurized, too, likely relying on gaseous (ambient temperature) nitrogen. Already, for a rocket built out of near-continuous metal, that temperature differential could pose a major problem.

Still, for the better part of three hours, things seemed to go exactly as planned, with the rocket venting dozens of times and the upper tank visibly developing a coating of frost as it began to freeze the water vapor right out of the humid Texas air. Alas, around 2:07am local (07:07 UTC), things took a turn for the worse. The unfilled methane tank below the now-LN2-laden LOX tank appeared to crumple, beginning at a small dent that appeared over the course of the test. Gravity took over a few seconds later, further crumpling the methane tank and causing the top-heavy rocket to tip over and the LOX tank to burst.

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While admittedly from the armchair, not a lot of this particular failure makes sense. If the bottom methane tank were significantly pressurized with gaseous nitrogen, a rapid loss of structural integrity would have likely been a far more violent ordeal as the gas attempted to escape. Instead, the failure was – relative to the possibilities – extremely gradual. In fact, it almost appeared as if the bottom methane tank was either never actually pressurized or not pressurized nearly enough to withstand the weight of several hundred tons of liquid nitrogen. Given SpaceX’s expertise and familiarity with rocketry, that option thankfully seems vanishingly unlikely.

All other possible explanations are at least as hard to parse, leaving it up to SpaceX or CEO Elon Musk to clarify what transpired if they choose to do so.

A steel Starship ring is transported on March 31st. (NASASpaceflight – bocachicagal)
On April 2nd, SpaceX began integrating Starship SN4’s upper LOX tank dome with three steel rings. (NASASpaceflight – bocachicagal)

On a more positive note, SpaceX has continued to churn out steel rings and bulkheads and assemble them into sections of Starship SN4 – the rocket’s next full-scale prototype – for the last two or so weeks. If Starship SN1, SN2, and SN3 are anything to go by, the fourth full-scale Starship prototype could be ready to head to the pad for testing just a handful of weeks from now, picking up where Starship SN3 left off. Thankfully, the latter rocket’s April 3rd failure appears to have been relatively benign as far as pad hardware goes, likely requiring minimal repair work to be ready for its next test campaign.

While unfortunate, it’s critical to remember that this is all part of SpaceX’s approach to developing new and unprecedented technologies. Be it Falcon 1, Falcon 9 booster recovery, or Falcon 9 fairing recovery, all groundbreaking SpaceX efforts have begun with several consecutive failures before the first successes – and the first streaks of consecutive successes. Given Musk’s September 2019 claim that SpaceX is putting just ~5% of its resources into Starship, prototypes like Mk1, SN1, and SN3 are being fabricated for pennies on the dollar.

As a schedule setback, SpaceX is building ships so quickly that any single prototype failure shouldn’t cause more than a handful of weeks of delays, and the goal is to produce an entire Starship every week by the end of 2020. For now, SpaceX will hopefully learn from each failure during developmental testing and roll those lessons learned into each future prototype.

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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 confirms Cybercab with no steering wheel enters production

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7 minutes ago

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April 25, 2026

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Tesla has confirmed today that its steering wheel-less and pedal-less Cybercab, the vehicle geared toward launching the company’s autonomous ride-hailing hopes, has officially entered production at its Giga Texas production facility outside of Austin.

The Cybercab is a sleek two-door, two-passenger coupe engineered from the ground up as an electric self-driving vehicle. It features no steering wheel or pedals, relying instead on Tesla’s advanced vision-only Full Self-Driving system powered by multiple cameras and artificial intelligence.

The minimalist cabin centers on a large display screen that serves as the primary interface for passengers, creating an open, futuristic space optimized for comfort during unsupervised rides. A compact 35-kilowatt-hour battery pack delivers exceptional efficiency at 5.5 miles per kilowatt-hour, providing an estimated 200-mile range.

Additional innovations include inductive charging compatibility and a lightweight design that enhances aerodynamics and performance.

Production at Giga Texas builds on earlier prototypes and initial units completed earlier in 2026. The facility, already a hub for Model Y and Cybertruck assembly, now ramps up dedicated lines for the Cybercab.

This shift to volume manufacturing reflects Tesla’s strategy to scale affordable autonomous vehicles rapidly.

By focusing on a dedicated platform rather than adapting existing models, the company aims to keep costs low while prioritizing safety and reliability through continuous AI improvements.

The Cybercab’s debut in production carries broad implications for urban mobility. As the cornerstone of Tesla’s Robotaxi network, it promises on-demand, driverless rides that could slash transportation expenses, reduce traffic accidents caused by human error, and lower emissions through its all-electric powertrain.

Accessibility features, such as space for service animals or assistive devices, further broaden its appeal. Regulators and cities worldwide will soon evaluate its deployment, but the vehicle’s design already addresses key hurdles in scaling unsupervised autonomy.

Challenges persist, including full regulatory clearance and building charging infrastructure. Yet this production launch signals momentum. With Cybercabs poised to roll out in increasing numbers, Tesla edges closer to a future where personal ownership meets shared fleets of intelligent vehicles.

The start of Cybercab production is more than just a new vehicle entering mass manufacturing for Tesla, as it’s a signal autonomy is near. Being developed without manual controls is such a massive sign by Tesla that it trusts its progress on Full Self-Driving.

While the development of that suite continues, Tesla is making a clear cut statement that it is prepared to get its fully autonomous vehicle out in public roads as it prepares to revolutionize passenger travel once and for all.

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Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.

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20 hours ago

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April 24, 2026

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(Photo: Hector Perez/YouTube)

Tesla Full Self-Driving v14.3.2 began rolling out to some owners earlier this week, and there are some notable improvements that came with this update.

There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.

Overall operation saw a handful of slight improvements, especially with parking performance, which has been the most notable difference with the arrival of FSD v14.3. However, there are still some very notable shortcomings, most notably with region-specific signage and navigation.

Tesla Assisted Smart Summon (ASS) improvements

There are noticeable improvements to ASS operation, which has definitely been inconsistent in terms of performance. Tesla wrote in the release notes for v14.3.2:

“Unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.”
As recently as this month, I used Summon with no success. It had pulled around the parking lot I was in incorrectly, leaving the range at which Summon can be operated and losing a signal while moving in the middle of the lot.

This caused me to sprint across the lot to retrieve the vehicle:

Unfortunately, Summon was not dependable or accurate enough to use regularly. It appears Tesla might have bridged the gap needed to make it an effective feature, as two tests in parking lots proved that Summon was more responsive and faster to navigate to the location chosen.

It also did so without hesitation, confidently, and at a comfortable speed. I was able to test it twice at different distances:

I plan to test this more thoroughly and regularly through the next few weeks, and I avoided using it in a congested parking lot initially because I have not had overwhelming success with Summon in the past. I wanted to set a low baseline for it to see if it could simply pull up to the place I pinned in the Tesla app.

It was two for two, which is a big improvement because I don’t think I ever had successful Summon attempts back-to-back. It just seems more confident than ever before.

New Disengagement Categories

This is a really good idea from Tesla, but there are some issues with it. The categories you can select are Critical, Comfort, Preference, and Other.

I think the reasons why people choose to take over would be a better way to prompt drivers, like, “Traveling Too Fast,” “Incorrect Maneuver,” “Navigation Error,” would be more beneficial.

I say this because it seems that how we each categorize things might be different. For example, I shared a video of an intervention because the car had navigated to an exit to a parking lot and put its left blinker on, despite left turns not being allowed there.

I disengaged and chose Critical as the reason; it’s not a comfort issue, it’s not a preference, it’s quite literally an illegal turn, and it’s also dangerous because it cuts across several lanes of traffic and is 180 degrees.

Some said I should not have labeled this as Critical, but that’s the description I best characterized the disengagement as.

Categorizing interventions is a good thing, but it’s kind of hard to determine how to label them correctly.

Inconsistency with Regional Traffic Patterns

Tesla Full Self-Driving is pretty inconsistent with how it handles regional or local traffic patterns and road rules. The most frequent example I like to use is that of the “Except Right Turn” stop sign, which has become a notorious sighting on our social media platforms.

In the initial rollout of v14.3, my Model Y successfully navigated through one of these stop signs with no issues. However, testing at two of these stop signs yesterday proved it is still not sure how to read signs and navigate through them properly.

Off camera, I approached another one of these signs and felt the car coming to a stop, so I nudged it forward with the accelerator pedal pressed.

This helped the car go through the sign without stopping, but I could feel the bucking of the vehicle as the car really wanted to stop.

Musk said on the earnings call earlier this week that unsupervised FSD would probably be available in some regions before others, including a state-to-state basis in the U.S.

“It’s difficult to release this like to everyone everywhere all at once because we do want to make sure that they’re not unique situations in a city that particularly complex intersection or — actually, they tend to be places where people get into accidents a lot because they’re just — perhaps there’s — and like I said, an unsafe intersection or bad road markings or a lot of weather challenges. So I think we would release unsupervised gradually to the customer fleet as we feel like a particular geography is confirmed to be safe.”
This could be one of those examples that Tesla just has to figure out.

Highway Operation

Full Self-Driving is already pretty good at routine roadway navigation, so I don’t have too much to report here.

However, I was happy with FSD’s decision-making at several points, including its choice not to pass a slightly slower car and remain in the right lane as we approached the off-ramp:

Better Maneuvering at Stop Signs

Many FSD users report some strange operations at stop signs, especially four-way intersections where there is a stop sign and a line on the road, and they’re not even with one another.

I experienced this quite frequently and found that FSD would actually double stop: once at the stop sign and again at the line.

This created some interesting scenarios for me and I had many cars honk at me when the second stop would happen. Other vehicles that had waved me on to proceed through the intersection would become frustrated at the second stop.

FSD seems to have worked through this particular maneuver:

FSD should know to go to the more appropriate location (whichever provides better visibility), and proceed when it is the car’s turn to move. The double stop really ruined the flow of traffic at times and generally caused some frustration from other drivers.

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Tesla plans to resolve its angriest bunch of owners: here’s how

Since the rollout of the AI4 chip in Tesla vehicles, owners with the last generation self-driving chip, known as Hardware 3, have been persistent in their quest for a solution to their issue: they were told their cars were capable of unsupervised Full Self-Driving. It turns out the cars are not.

Published

22 hours ago

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April 24, 2026

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tesla-asia-model-3
Credit: Tesla Asia/Twitter

Tesla has a plan to make Hardware 3 owners whole after CEO Elon Musk admitted that those with that self-driving chip in their cars will not have access to unsupervised Full Self-Driving.

The company’s strategy is so crazy that it is sort of hard to believe.

Since the rollout of the AI4 chip in Tesla vehicles, owners with the last generation self-driving chip, known as Hardware 3, have been persistent in their quest for a solution to their issue: they were told their cars were capable of unsupervised Full Self-Driving. It turns out the cars are not.

During the Tesla Q1 earnings call on Wednesday, Musk finally clarified what the company’s plans are for Hardware 3 owners, what they will be offered, and what Tesla will have to do internally to prepare for it.

The answer was somewhat mind-boggling.

Musk said:

“Unfortunately, Hardware 3 — I wish it were otherwise, but Hardware 3 simply does not have the capability to achieve unsupervised FSD. We did think at one point it would have that, but relative to Hardware 4, it has only 1/8 of the memory bandwidth of Hardware 4. And memory bandwidth is one of the key elements needed for unsupervised FSD.”
He continued, stating that HW3 owners would have the opportunity to trade their cars in at a discounted rate in order to get the AI4 chip:

“So for customers that have bought FSD, what we’re offering is essentially a trade-in — like a discounted trade-in for cars that have AI4 hardware, and we’ll also be offering the ability to upgrade the car, to replace the computer. And you also need to replace the cameras, unfortunately, to go to Hardware 4.”
Obviously, Tesla has a lot of people to work with and make this whole thing right. Musk was adamant that HW3 would be capable of FSD, and now that the company has finally admitted that it is not, there are some things that could come of this.

There has been open talk about some sort of class action lawsuit against Tesla. The promises that Tesla made previously could be considered a breach of contract or even false advertising, and that’s according to Grok, Musk’s own AI program.

Musk went on to say that Tesla would likely have to establish new microfactories to effectively and efficiently replace HW3 computers and cameras:

…So to do this efficiently, we’re going to have to set up, like kind of micro factories or small factories in major metropolitan areas in order to do it efficiently. Because if it’s done just at the service center, it is extremely slow to do so and inefficient. So we basically need like many production lines to make the change.”
This is going to be an extremely costly process, especially if Tesla has to buy real estate, properties, and equipment to complete this work. Additionally, there was no wording on pricing, but Musk never said it would be free. It will likely come with some kind of price tag, and HW3 owners, after being left hanging for so long, will have something to say about that.

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