News
SpaceX Starship nails ‘flip’ maneuver in explosive landing video
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.
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.
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.
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.
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.
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.
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.”
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.
News
Tesla Model Y dominated China’s NEV sales in December 2025
As per sales data from China, the all-electric crossover finished first among the country’s best-selling EVs and plug-in hybrids.
The Tesla Model Y ranked as China’s top-selling new energy vehicle in December, leading an intensely competitive market packed with strong domestic brands.
As per sales data from China, the all-electric crossover finished first among the country’s best-selling EVs and plug-in hybrids. The Model 3 also placed within the country’s top ten vehicles.
Model Y leads China’s NEV rankings
The graphic, shared on X and sourced from Chinese auto industry data aggregator Yiche, listed the top 20 best-selling new energy vehicles in China for December. Tesla’s Model Y claimed the No. 1 position with roughly 65,874 units sold, finishing well ahead of a field dominated by domestic manufacturers such as BYD, SAIC-GM-Wuling, and Xiaomi.
The chart also showed strong performances from other high-volume models, including BYD’s Qin Plus, which sold 46,837 units during the month. Tesla’s Model 3 ranked eighth overall, with just under 28,000 units sold, placing it ahead of numerous locally produced competitors despite its rather premium price.
Tesla China’s strong December
Tesla China had a stellar December 2025. During the month, Tesla sold 97,171 vehicles wholesale in China, as per data from the China Passenger Car Association (CPCA). The result marked Tesla China’s second-highest monthly total on record, trailing only November 2022’s peak of 100,291 units.
December’s wholesale figure represented a 3.63% increase from the same month a year earlier and a 12.08% jump from November. Industry watchers have suggested that part of the surge was driven by Tesla pulling deliveries forward to allow customers to benefit from more favorable purchase tax policies before year-end.
Despite this, December’s results suggest that Tesla’s Model Y and Model 3 remain highly competitive offerings in China, which is extremely impressive considering the competition from domestic players and their still premium price.
Elon Musk
Elon Musk’s net worth is nearing $800 billion, and it’s no small part due to xAI
A newly confirmed $20 billion xAI funding round valued the business at $250 billion, adding an estimated $62 billion to Musk’s fortune.
Elon Musk moved within reach of an unprecedented $800 billion net worth after private investors sharply increased the valuation of xAI Holdings, his artificial intelligence and social media company.
A newly confirmed $20 billion funding round valued the business at $250 billion, adding an estimated $62 billion to Musk’s fortune and widening his lead as the world’s wealthiest individual.
xAI’s valuation jump
Forbes confirmed that xAI Holdings was valued at $250 billion following its $20 billion funding round. That’s more than double the $113 billion valuation Musk cited when he merged his AI startup xAI with social media platform X last year. Musk owned roughly 49% of the combined company, which Forbes estimated was worth about $122 billion after the deal closed.
xAI’s recent valuation increase pushed Musk’s total net worth to approximately $780 billion, as per Forbes’ Real-Time Billionaires List. The jump represented one of the single largest wealth gains ever recorded in a private funding round.
Interestingly enough, xAI’s funding round also boosted the AI startup’s other billionaire investors. Saudi investor Prince Alwaleed Bin Talal Alsaud held an estimated 1.6% stake in xAI worth about $4 billion, so the recent funding round boosted his net worth to $19.4 billion. Twitter co-founder Jack Dorsey and Oracle co-founder Larry Ellison each owned roughly 0.8% stakes that are now valued at about $2.1 billion, increasing their net worths to $6 billion and $241 billion, respectively.
The backbone of Musk’s net worth
Despite xAI’s rapid rise, Musk’s net worth is still primarily anchored by SpaceX and Tesla. SpaceX represents Musk’s single most valuable asset, with his 42% stake in the private space company estimated at roughly $336 billion.
Tesla ranks second among Musk’s holdings, as he owns about 12% of the EV maker’s common stock, which is worth approximately $307 billion.
Over the past year, Musk crossed a series of historic milestones, becoming the first person ever worth $500 billion, $600 billion, and $700 billion. He also widened his lead over the world’s second-richest individual, Larry Page, by more than $500 billion.
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.”
Tesla Model Y dominated China’s NEV sales in December 2025
Elon Musk’s net worth is nearing $800 billion, and it’s no small part due to xAI
