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SpaceX recaps historic Starship landing in 4K as next ship readies for flight
SpaceX has published a new 4K video recapping Starship’s first intact landing after a high-altitude launch right as the company is preparing the next ship for flight.
On March 3rd, Starship serial number 10 (SN10) briefly became the first prototype to successfully launch to 10 km (6.2 mi), ‘skydive’ back to Earth, flip around, and land in one piece. Put simply, Starship SN10 made it unequivocally clear that the exotic, unproven method of landing selected by SpaceX could be made to work. Unfortunately, while Starship SN10 did land in one piece, the landing was much harder than planned.
Due to some combination of that hard landing and an apparent onboard fire that started in the last ~20 seconds of flight, SpaceX only had around six minutes to contemplate its success before Starship SN10’s propellant tanks were breached, violently depressurizing the rocket and causing a large explosion and fire.
Previously discussed on Teslarati, SpaceX CEO Elon Musk later took to Twitter to offer some educated guesses as to why Starship SN10 exploded.
“Starship SN9 ultimately failed a few seconds earlier than Starship SN8 when one of its Raptor engines failed to ignite, precluding a true flight test of the helium pressurization fix. As it turns out, Musk believes that that very fix may have doomed Starship SN10.
As Starship SN10 forged ahead past the points of failure that killed SN8 and SN9, the SpaceX CEO thinks that one or more of the vehicle’s three Raptor engines began to ingest some of that helium as they drained the methane header tank. As a result, engine thrust fell below expected values, preventing Starship SN10 from fully slowing down for a soft landing. Instead, the Starship hit the ground traveling a solid 25 mph (~10 m/s), obliterating its tiny landing legs and damaging its skirt section.”
Teslarati.com – March 10th, 2021
In other words, the losses of Starships SN8, SN9, and SN10 all share a relatively common point of failure – propulsion reliability. Technically, only Starship SN9’s failure can be blamed specifically on Raptor, one of which failed to ignite during its flip and landing maneuver. SN8 and SN10 both failed because of issues in the complex network of plumbing and pressurization systems responsible for feeding Raptors the right amount of propellant.
For SN8, the ship’s pressurization system failed to provide the necessary fuel head pressure at the last second, starving the Starship’s Raptors. SN10 ironically failed because the quick fix inspired by SN8’s failure – partially replacing a methane pressurant with helium – likely contaminated its methane fuel with helium, effectively watering down Raptor’s performance. While likely frustrating for SpaceX, the failures are still extremely valuable and loss of hardware remains a routine and intentional part of the company’s approach to iterative rocket development.
On the plus side, the FAA has already cleared SpaceX’s next Starship for flight after SN10’s momentary success and subsequent explosion. Spurred by that brief taste of total success, SpaceX wasted no time to prepare that next prototype – Starship SN11 – for flight and rolled the rocket to the launch pad mere days after SN10’s March 3rd flight. That very same day, SpaceX completed ambient pressure testing – a basic verification that Starship SN11 is leak-free.
A few days later, SN11 appeared to pass its first cryogenic proof test, replacing room-temperature gas with cryogenic liquid nitrogen. Three days after that, SpaceX attempted to put the Starship through its first triple-Raptor static fire test but appeared to suffer an abort milliseconds after a partial ignition of one or two of its three engines. Starship SN11 briefly caught fire and burned for at least 20-40 seconds after the abort, unsurprisingly triggering several days of delays. Nevertheless, if SN11 can make it through a second static fire attempt without issue on Thursday or Friday, the Starship is still well on track to take flight weeks earlier than any of its predecessors.
News
Tesla Cybercab sighting confirms one highly requested feature
The feature will likely allow the Cybercab to continue operating even in conditions when its cameras could be covered with dust, mud, or road grime.
A recent sighting of Tesla’s Cybercab prototype in Chicago appears to confirm a long-requested feature for the autonomous two-seater.
The feature will likely allow the Cybercab to continue operating even in conditions when its cameras could be covered with dust, mud, or road grime.
The Cybercab’s camera washer
The Cybercab prototype in question was sighted in Chicago, and its image was shared widely on social media. While the autonomous two-seater itself was visibly dirty, its rear camera area stood out as noticeably cleaner than the rest of the car. Traces of water were also visible on the trunk. This suggested that the Cybercab is equipped with a rear camera washer.
As noted by Model Y owner and industry watcher Sawyer Merritt, a rear camera washer is a feature many Tesla owners have requested for years, particularly in snowy or wet regions where camera obstruction can affect visibility and the performance of systems like Full Self-Driving (FSD).
While only the rear camera washer was clearly visible, the sighting raises the possibility that Tesla may equip the Cybercab’s other external cameras with similar cleaning systems. Given the vehicle’s fully autonomous design, redundant visibility safeguards would be a logical inclusion.
The Cybercab in Tesla’s autonomous world
The Cybercab is Tesla’s first purpose-built autonomous ride-hailing vehicle, and it is expected to enter production later this year. The vehicle was unveiled in October 2024 at the “We, Robot” event in Los Angeles, and it is expected to be a major growth driver for Tesla as it continues its transition toward an AI- and robotics-focused company. The Cybercab will not include a steering wheel or pedals and is intended to carry one or two passengers per trip, a decision Tesla says reflects real-world ride-hailing usage data.
The Cybercab is also expected to feature in-vehicle entertainment through its center touchscreen, wireless charging, and other rider-focused amenities. Musk has also hinted that the vehicle includes far more innovation than is immediately apparent, stating on X that “there is so much to this car that is not obvious on the surface.”
News
Tesla seen as early winner as Canada reopens door to China-made EVs
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y.
Tesla seems poised to be an early beneficiary of Canada’s decision to reopen imports of Chinese-made electric vehicles, following the removal of a 100% tariff that halted shipments last year.
Thanks to Giga Shanghai’s capability to produce Canadian-spec vehicles, it might only be a matter of time before Tesla is able to export vehicles to Canada from China once more.
Under the new U.S.–Canada trade agreement, Canada will allow up to 49,000 vehicles per year to be imported from China at a 6.1% tariff, with the quota potentially rising to 70,000 units within five years, according to Prime Minister Mark Carney.
Half of the initial quota is reserved for vehicles priced under CAD 35,000, a threshold above current Tesla models, though the electric vehicle maker could still benefit from the rule change, as noted in a Reuters report.
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y. That year, Tesla began shipping vehicles from Shanghai to Canada, contributing to a sharp 460% year-over-year increase in China-built vehicle imports through Vancouver.
When Ottawa imposed a 100% tariff in 2024, however, Tesla halted those shipments and shifted Canadian supply to its U.S. and Berlin factories. With tariffs now reduced, Tesla could quickly resume China-to-Canada exports.
Beyond manufacturing flexibility, Tesla could also benefit from its established retail presence in Canada. The automaker operates 39 stores across Canada, while Chinese brands like BYD and Nio have yet to enter the Canadian market directly. Tesla’s relatively small lineup, which is comprised of four core models plus the Cybertruck, allows it to move faster on marketing and logistics than competitors with broader portfolios.
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Tesla Cybercab sighting confirms one highly requested feature
Tesla seen as early winner as Canada reopens door to China-made EVs
