News
SpaceX Starship saved by ‘burst disk’ after Raptor static fire ends badly
Around 7:15 pm local time, SpaceX Starship prototype SN8 fired up one or several Raptor engines for the third time ever, catching onlookers – only expected a dress rehearsal – by surprise. An hour later, CEO Elon Musk revealed that SpaceX had effectively lost control of the rocket.
Unfortunately for SpaceX, this is not the first incident in which a fire led to a loss of Starship control. Back in May 2020, Starship serial number 4 (SN4) – the first full-scale prototype to have a Raptor installed – completed its third successful static fire test. Moments later, a vent line adjacent to the engine section caught fire, burning for a minute or two. Ultimately, likely due to destroyed wiring or plumbing, SpaceX seemingly lost control of SN4 and had to wait a full two days for cryogenic propellant to boil off and evaporate before teams could approach the rocket to inspect, repair, and regain control.
Now, more likely than not, Starship SN8 has suffered a similar – but not identical – failure, cutting some level of control. Elon Musk took to Twitter about an hour after the rocket’s third Raptor static fire, revealing that SpaceX had lose control of Starship’s pneumatics, referring to hydraulic systems needed to operate most of the rocket’s valves. For SN8, that meant nothing but bad news.
As cryogenic liquids (and all things in general) warm up, they expand, taking up more volume. To counteract that never-ending process of cryogenic propellant warming up, boiling, and turning to gas, fresh propellant is almost continually loaded while warmer gas is vented, thus maintaining safe tank pressures. If the ability to vent those gases is lost, the ability to maintain safe pressures goes with it.
As Musk noted above, Starship SN8 thankfully – and unexpectedly – had one or several burst disks installed, referring to single-use mechanical valves designed to open (i.e. burst) above a specific pressure. SN8’s nosecone burst disk did just that, bursting to create an outlet for the pressure building inside the rocket and thus preventing the small nose-based liquid oxygen (LOx) tank from exploding.
Unfortunately, the precursor to Starship losing control is a much less positive story. According to Musk, one of the Raptor engines SN8 ignited may have suffered a significant failure, melting one or more critical engine components. It’s unclear how exactly a seemingly contained engine failure evolved into a total loss of Starship hydraulics but it’s safe to say that redundancy will be added and updated designs will be implemented to ensure that a similar failure doesn’t reoccur.
Notably, both unofficial LabPadre and NASASpaceflight.com livestreams clearly showed Starship quite literally dripping molten metal for more than two minutes after the static fire. Whatever the cause of that extremely hot fire, anything that can continuously melt metal for minutes will have almost assuredly ravaged Starship SN8’s aft and the Raptor engines installed therein. It’s nothing short of miraculous that SN8’s main LOx tank wasn’t breached, as well.
Ultimately, SN8 will likely need extensive repairs – and one, two, or even three replacement engines – before it can safely restart testing and proceed towards its 15 km (~9.5 mi) launch debut. Additionally, SpaceX’s lack of valve control likely means that the company will have to wait at least 24+ hours before workers can safely return to the launch pad and begin those inspections and repairs.
Update: The roadblock was removed around 11pm local time and SpaceX workers appear to have already returned to the pad, signifying that Starship SN8 has been fully detanked and is safe to approach. Inspections and repairs will likely begin as soon as possible.
Elon Musk
Starlink restrictions are hitting Russian battlefield comms: report
The restrictions have reportedly disrupted Moscow’s drone coordination and frontline communications.
SpaceX’s decision to disable unauthorized Starlink terminals in Ukraine is now being felt on the battlefield, with Ukrainian commanders reporting that Russian troops have struggled to maintain assault operations without access to the satellite network.
The restrictions have reportedly disrupted Moscow’s drone coordination and frontline communications.
Lt. Denis Yaroslavsky, who commands a special reconnaissance unit, stated that Russian assault activity noticeably declined for several days after the shutdown. “For three to four days after the shutdown, they really reduced the assault operations,” Yaroslavsky said.
Russian units had allegedly obtained Starlink terminals through black market channels and mounted them on drones and weapons systems, despite service terms prohibiting offensive military use. Once those terminals were blocked, commanders on the Ukrainian side reported improved battlefield ratios, as noted in a New York Post report.
A Ukrainian unit commander stated that casualty imbalances widened after the cutoff. “On any given day, depending on your scale of analysis, my sector was already achieving 20:1 (casuality rate) before the shutdown, and we are an elite unit. Regular units have no problem going 5:1 or 8:1. With Starlink down, 13:1 (casualty rate) for a regular unit is easy,” the unit commander said.
The restrictions come as Russia faces heavy challenges across multiple fronts. A late January report from the Center for Strategic and International Studies estimated that more than 1.2 million Russian troops have been killed, wounded, or gone missing since February 2022.
The Washington-based Institute for the Study of War also noted that activity from Russia’s Rubikon drone unit declined after Feb. 1, suggesting communications constraints from Starlink’s restrictions may be limiting operations. “I’m sure the Russians have (alternative options), but it takes time to maximize their implementation and this (would take) at least four to six months,” Yaroslavsky noted.
Elon Musk
Tesla Korea hiring AI Chip Engineers amid push for high-volume AI chips
Tesla Korea stated that it is seeking “talented individuals to join in developing the world’s highest-level mass-produced AI chips.”
In a recent post on X, Tesla Korea announced that it is hiring AI Chip Design Engineers as part of a project aimed at developing what the company describes as the world’s highest-volume AI chips. CEO Elon Musk later amplified the initiative.
Tesla Korea stated that it is seeking “talented individuals to join in developing the world’s highest-level mass-produced AI chips.”
“This project aims to develop AI chip architecture that will achieve the highest production volume in the world in the future,” Tesla Korea wrote in its post on X.
As per Tesla Korea, those who wish to apply for the AI Chip Design Engineer post should email Ai_Chips@Tesla.com and include “the three most challenging technical problems you have solved.”
Elon Musk echoed the hiring push in a separate post. “If you’re in Korea and want to work on chip design, fabrication or AI software, join Tesla!” he wrote.
The recruitment effort in South Korea comes as Tesla accelerates development of its in-house AI chips, which power its Full Self-Driving (FSD) system, Optimus humanoid robot, and data center training infrastructure.
Tesla has been steadily expanding its silicon development teams globally. In recent months, the company has posted roles in Austin and Palo Alto for silicon module process engineers across lithography, etching, and other chip fabrication disciplines, as noted in a Benzinga report.
Tesla Korea’s hiring efforts align with the company’s long-term goal of designing and producing AI chips at massive scale. Musk has previously stated that Tesla’s future AI chips could become the highest-volume AI processors in the world.
The move also comes amid Tesla’s broader expansion into AI initiatives. The company recently committed about $2 billion into xAI as part of a Series E funding round, reinforcing its focus on artificial intelligence across vehicles, robotics, and compute infrastructure.
Elon Musk
SpaceX and xAI tapped by Pentagon for autonomous drone contest
The six-month competition was launched in January and is said to carry a $100 million award.
SpaceX and its AI subsidiary xAI are reportedly competing in a new Pentagon prize challenge focused on autonomous drone swarming technology, as per a report from Bloomberg News.
The six-month competition was launched in January and is said to carry a $100 million award.
Bloomberg reported that SpaceX and xAI are among a select group invited to participate in the Defense Department’s effort to develop advanced drone swarming capabilities. The goal is reportedly to create systems that can translate voice commands into digital instructions and manage fleets of autonomous drones.
Neither SpaceX, xAI, nor the Pentagon’s Defense Innovation Unit has commented on the report, and Reuters said it could not independently verify the details.
The development follows SpaceX’s recent acquisition of xAI, which pushed the valuation of the combined companies to an impressive $1.25 trillion. The reported competition comes as SpaceX prepares for a potential initial public offering later this year.
The Pentagon has been moving to speed up drone deployment and expand domestic manufacturing capacity, while also seeking tools to counter unauthorized drone activity around airports and major public events. Large-scale gatherings scheduled this year, including the FIFA World Cup and America250 celebrations, have heightened focus on aerial security.
The reported challenge aligns with broader Defense Department investments in artificial intelligence. Last year, OpenAI, Google, Anthropic, and xAI secured Pentagon contracts worth up to $200 million each to advance AI capabilities across defense applications.
Elon Musk previously joined AI and robotics researchers in signing a 2015 open letter calling for a ban on offensive autonomous weapons. In recent years, however, Musk has spoken on X about the strengths of drone technologies in combat situations.
Starlink restrictions are hitting Russian battlefield comms: report
Tesla Korea hiring AI Chip Engineers amid push for high-volume AI chips
