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SpaceX Starship nails ‘flip’ maneuver in explosive landing video

SpaceX has published footage of Starship's first spectacular 'flip' maneuver, showing the rocket's final moments - both good and less so. (SpaceX)

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Update: SpaceX has published a video taken near the launch pad of Starship nailing an exotic ‘flip’ maneuver shortly before a hard landing destroyed the rocket.

Both the company, test directors, and CEO Elon Musk have all made it abundantly clear that despite the explosive end, Starship SN8’s maiden flight was a spectacular success, proving that the rocket is capable of performing several previously-unproven maneuvers and surviving the associated stresses. Notably, according to tweets posted by Musk not long after, Starship SN8 performed almost perfectly, failing a soft landing (already proven by SN5 and SN6) solely because of low pressure in the rocket’s secondary ‘header’ fuel tank.

Two of SN8’s three Raptors burn to slow the Starship down. (SpaceX)

For unknown reasons, that tank or its associated plumbing were unable to maintain the pressure needed to feed Raptor with enough propellant, resulting in fuel starvation mid-burn. A lack of fuel and surplus of oxygen effectively turned the landing engine into a giant oxygen torch, melting the copper walls of its combustion chamber (hence the green plume). Had the header tank maintained the correct pressure, SN8 would have very likely landed intact (or at least had a much softer landing).

In simpler terms, it seems that Raptor isn’t to blame for Starship SN8’s failed landing and fixing a pressurization problem will be dramatically faster and easier than rectifying a rocket engine design flaw.

SN8’s Raptor plume turns an ominous green as fuel starvation turns the engine into a copper-melting oxygen torch. (SpaceX)

In perhaps the most spectacular aerospace demonstration since Falcon Heavy’s 2018 debut, SpaceX’s first full-size Starship prototype came within a hair’s breadth of sticking the landing after an otherwise successful ~12.5 km (7.8 mi) launch debut.

To quote SpaceX’s test director, heard live on the company’s official webcast moments after Starship serial number 8 (SN8) exploded on impact, “Incredible work, team!” For most, praise shortly after a rocket explosion could easily feel nonsensical, but in the context of SpaceX’s iterative approach to development, a Starship prototype failing just moments before the end of a multi-minute test can be considered a spectacular success.

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Chock full of surprises, Starship SN8 ignited its three Raptor engines for the third time and lifted off at 4:45 pm CST (UTC-6) on the program’s high-altitude launch debut.

Starship’s first multi-engine liftoff. (Richard Angle)

About 100 seconds after liftoff, already representing the longest-known ignition of one – let alone three – Raptor engines, one of those three engines appeared to shut down, causing the two remaining engines to gimbal wildly in an effort to retain control. Another two minutes after that, one of those Raptors also shut down, leaving one engine active. That one engine continued to burn for another minute and a half, producing just enough thrust to more or less maintain Starship SN8’s altitude at apogee while performing a bizarre horizontal slide maneuver.

Liftoff. (Richard Angle)
Two engines burning. (Richard Angle)
One engine burning. (Richard Angle)

Finally, at a bit less than five minutes after liftoff, Starship cut off all Raptor engines and began falling back to earth. Looking spectacularly similar to fan-made renders and CGI videos of the highly-anticipated ‘skydiver’ or ‘belly-flop’ maneuver, Starship – belly down – spent around two minutes in a rock-solid freefall, using four large flaps to maintain stability.

Freefall, near apogee. (Richard Angle)
Moments before an aggressive flip maneuver. (Richard Angle)
Fully sideways, SN8 ignites one Raptor to kick into a 90-degree flip maneuver. (Richard Angle)

Around 4:52 pm, Starship SN8 performed exactly as expected, igniting one – and then two – Raptor engines while fully parallel to the ground to complete an aggressive 90-degree flip, transitioning into vertical flight for an attempted landing. Unfortunately, although it’s difficult to judge what was intentional and what was not, things began to go wrong after that point -visible in the form of one of the two reignited Raptors flashing green before shutting down.

At the same time, the plume of the lone remaining engine flashed an electric green, quite literally consuming its copper-rich internals in an unsuccessful attempt to slow Starship down. According to SpaceX CEO Elon Musk, Raptor performed “great” throughout the launch and landing attempt, with the bright-green plume likely explained by extremely oxygen-rich combustion caused by low “fuel header tank pressure.”

The green flash of death. (Richard Angle)
?
RIP SN8. (Richard Angle)
The wreckage of Starship SN8. As SpaceX succinctly notes, SN9 is up next!

Regardless of the specific cause, Starship SN8 smashed into the ground around 10-20 seconds early, traveling about 30 m/s (~70 mph) too fast. To be clear, in SpaceX’s eyes, the test – primarily focused on demonstrating multi-engine ascent, freefall stability, header tank handover, engine reignition, and a flip-over maneuver – was a spectacular success, completing almost every single objective and seemingly doing so without any major issues.

Clocking in at an incredible (and unexpected) ~400 seconds (~6.5 minutes) from liftoff to explosion, it’s difficult to exaggerate the sheer quantity of invaluable data SpaceX has likely gathered from SN8’s sacrifice. Thanks to SN8’s primarily successful debut, SpaceX’s Starship test and launch facilities (minus the rocket’s remains on the landing zone) appear to be almost completely unharmed, likely requiring only minor repairs and refurbishment. Further, Starship SN9 is effectively complete and patiently waiting a few miles down the road, ready to roll to the launch pad almost as soon as SpaceX has understood the cause of SN8’s hard landing.

Stay tuned for more analysis, photos, and videos as the dust settles.

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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 Model Y L gets new entertainment feature

Beyond audio quality, Immersive Sound X aligns with Tesla’s ecosystem of over-the-air updates, potentially allowing future refinements.

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Credit: Tesla China

Tesla is including a new entertainment feature in the Model Y L, improving the vehicle even further and making it what appears to be the best configuration of the all-electric crossover globally.

Unfortunately, we in the U.S. do not yet have access to the vehicle, and the plans for it to enter the market remain up in the air, as CEO Elon Musk has said it could appear late this year. However, there is nothing concrete at this time.

Tesla’s latest enhancement to the Model Y L is a new Immersive Sound X feature, exclusive to the Model Y L.

It aims to transform the in-car listening experience into something truly cinematic. First introduced by Tesla China in October 2025, this advanced audio mode is now rolling out to deliveries in Australia and New Zealand, highlighting Tesla’s approach to region-specific premium upgrades.

At its core, Immersive Sound X leverages real-time sound extraction technology to create a customizable 3D soundstage. Using advanced algorithms, it analyzes audio tracks to separate direct sounds, such as vocals or lead instruments, from ambient elements like echoes and reverb.

The system then positions direct sounds front and center while diffusing ambient sounds to the side and rear speakers, simulating an expansive virtual environment. This results in a heightened sense of depth and spatial awareness, making listeners feel as if they’re in a concert hall or studio.

What sets Immersive Sound X apart from the standard Immersive Sound found in other Tesla models is its hardware dependency and enhanced processing. The Model Y L boasts an 18-speaker system with a subwoofer, compared to the 15-speaker setup, plus a subwoofer, in the Model Y Long Range’s previous premium audio configuration.

This upgrade provides more “kick” and precision, enabling finer control over the soundstage. Unlike traditional surround sound, which requires multi-channel mixes like Dolby Atmos, Immersive Sound X works with any stereo source from platforms like Spotify or Apple Music, so every owner will be able to use it.

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You can fine-tune the experience via an adjustable immersion slider, scaling the “size” of the virtual space to personal preferences. This caters to a more custom sound.

An Auto mode intelligently adapts based on media type, whether it’s music, podcasts, or videos, ensuring optimal immersion without manual tweaks. This feature is unavailable on standard Model Y variants (with 7 or 15 speakers) or Model 3 trims, underscoring Tesla’s strategy to differentiate higher trims through superior hardware and software integration.

Beyond audio quality, Immersive Sound X aligns with Tesla’s ecosystem of over-the-air updates, potentially allowing future refinements.

For audiophiles and casual listeners alike, it elevates mundane commutes into immersive journeys, proving Tesla’s commitment to blending cutting-edge tech with user-centric design.

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Elon Musk teases crazy outlook for xAI against its competitors

Musk’s response was vintage hyperbole, designed to rally supporters and dismiss doubters, something his responses on social media often do.

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Credit: NVIDIA

Elon Musk has never been one to shy away from crazy timelines, massive expectations, and outrageous outlooks. However, his recent plans for xAI and where he believes it will end up compared to its competitors are sure to stimulate conversation.

In a bold and characteristic response on X, Elon Musk fired back at a recent analysis that positioned his AI venture, xAI, as lagging behind industry frontrunners.

The post, from March 14, came as a direct reply to forecaster Peter Wildeford’s assessment, which drew from benchmarks and reporting to rank AI developers.

Wildeford placed Anthropic, Google, and OpenAI in a virtual tie at the top, with xAI and Meta trailing by about seven months. Chinese players like Moonshot, Deepseek, zAI, and Alibaba were estimated to be nine months behind, while France’s Mistral lagged by about a year and a half.

Musk’s response was vintage hyperbole, designed to rally supporters and dismiss doubters, something his responses on social media often do.

He claimed xAI would “catch up this year,” meaning by the end of 2026, erasing that seven-month deficit against the leaders. But he didn’t stop there.

Musk escalated his vision to 2029, predicting xAI would “exceed them all by such a long distance” that observers would need the James Webb Space Telescope, NASA’s orbiting observatory stationed about 930,000 miles from Earth, to spot whoever lands in second place. This analogy underscores Musk’s confidence in xAI’s trajectory, implying an astronomical lead that could redefine the AI landscape.

Breaking down these claims reveals Musk’s strategic optimism. First, the short-term catch-up: xAI, launched in 2023, has already released models like Grok, but recent benchmarks, including those for Grok 4.2, have shown it falling short in capabilities compared to rivals.

Anthropic’s Claude series, Google’s Gemini, and OpenAI’s GPT models dominate in areas like reasoning, coding, and multimodal tasks. Musk’s assertion suggests aggressive scaling in compute, talent, or architecture, perhaps leveraging xAI’s ties to Tesla’s Dojo supercomputers or Musk’s vast resources, to close the gap swiftly.

The longer-term dominance by 2029 paints an even more audacious picture. Musk envisions xAI not just parity but supremacy, outpacing competitors in innovation speed and model sophistication.

This could involve breakthroughs in energy-efficient training, real-world integration, like Tesla’s robotics, or ethical AI alignment, aligning with Musk’s stated goal of “understanding the universe.”

Critics, however, point to parallels with Tesla’s Full Self-Driving delays; one reply highlighted Musk’s 2023 promise of FSD readiness. Musk has made this promise for many years, and although the system has been strong and improving, it is still a ways off from the completely autonomous operation that was expected by now.

Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever

Musk’s comment highlights the intensifying U.S.-centric AI race, with xAI challenging the “three-way” dominance noted by Wharton professor Ethan Mollick, whom Wildeford quoted. As geopolitical tensions rise—evident in the Chinese firms’ lag—Musk’s tease could spur investment and talent wars.

Yet, it also invites scrutiny: Will xAI deliver, or is this another telescope-needed mirage? In an industry where timelines slip but stakes soar, Musk’s words keep the spotlight on xAI’s ambitious path forward.

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Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry

Tesla set to launch “Terafab Project: A vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.

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Tesla is making one of the boldest bets in its history. On March 14, Elon Musk posted on X that the “Terafab Project launches in 7 days,” pointing to March 21, 2026 as the start date for what he has described as a vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.

Tesla first confirmed Terafab on its January 28, 2026 earnings call, where Musk told investors the company needs to build a chip fabrication facility to avoid a supply constraint projected to materialize within three to four years. But the seeds were planted even earlier. At Tesla’s annual general meeting last year, Musk warned that even in the best-case scenario for chip production from their suppliers, it still wouldn’t be enough, and declared that building a “gigantic chip fab” simply had to be done.

While there has been no official announcement on where Tesla plans to break ground on the massive Terafab, all signs point to the North Campus of Giga Texas in Austin.

Months of speculation has surrounded Tesla’s North Campus expansion at Giga Texas, where drone footage captured by observer Joe Tegtmeyer revealed massive construction site preparation just north of the existing factory on a scale that rivals the original Giga Texas footprint itself.

Samsung’s Tesla AI5/AI6 chip factory to start key equipment tests in March: report

The project is projected to produce 100–200 billion AI and memory chips annually, targeting 100,000 wafer starts per month, at an estimated cost of $20 billion. Tesla is targeting 2-nanometre process technology and anticipated to be the most advanced node currently in commercial production. Dubbed the Tesla AI5 chip, the chip will pack 40x–50x more compute performance and 9x more memory than AI4, and will be among the first products Terafab factory is set to produce. This highly optimized, and massively powerful inference chip is designed to make full self-driving (FSD) and Tesla’s Optimus robots faster, safer, and with full autonomy.

tesla-optimus-pilot-production-line

(Credit: Tesla)

This is where Terafab becomes a genuine game-changer. If Tesla successfully builds a 2nm chip fab at scale, it becomes one of only a handful of entities that’s capable of producing AI silicon in-house, with competitive implications that extend far beyond Tesla’s own vehicles, and potentially positioning Tesla as a chip supplier or licensor to other industries.

The next-gen Tesla AI chips will power advancements in Full Self-Driving software, the Cybercab Robotaxi program, and the Optimus humanoid robot line. Musk’s projections for Optimus require chip volumes that no existing external supplier can commit to on Tesla’s timeline.Competitors like Waymo and GM’s Cruise remain dependent on third-party silicon, leaving them exposed to the same supply chain vulnerabilities Tesla is now working to eliminate entirely.

The Terafab launch this week may not mean a factory opens its doors overnight, but it signals Tesla is serious about owning the entire AI stack, from software to silicon.

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