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SpaceX Starship go for nosecone installation after historic static fire

Starship SN8's nosecone was recently stacked and welded atop a barrel section in the last major step before installation on the rocket itself. (NASASpaceflight - bocachicagal)

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SpaceX CEO Elon Musk has confirmed that Starship and Raptor’s first triple-engine static fire was a success, opening the door for nosecone installation.

Around 3:13 am CDT, October 20th, Starship serial number 8 (SN8) successfully fired up three Raptor engines less than two hours after completing the first successful three-engine preburner test. With zero direct human intervention, SpaceX remotely detanked the rocket’s cryogenic liquid methane and oxygen propellant – the remnants now too warm to be used again in a controlled manner. In an hour or less, SpaceX engineers combed through the data produced and concluded that all three Raptor engines were healthy after their partial ignition test.

Effectively reset to a stable state, SpaceX once again proceeded to load Starship SN8’s propellant tanks with a small amount of supercooled LOx and LCH4, almost exactly mirroring the preburner test. Around 50 minutes after the recycle commenced and 25 minutes after propellant loading kicked off, Starship SN8 ignited three Raptors simultaneously – a major milestone for any rocket engine. Static fire now completed, Starship SN8 has been cleared to become the first operational prototype to reach its full 50m (~165 ft) height.

Shortly before Musk confirmed SN8’s static fire success, SpaceX canceled a preexisting October 20th static fire window and scheduled several new road closures on Wednesday, October 21st. Unlike the company’s recent static fire closures, all but one of which ran from 9pm to 6am, SpaceX’s new Wednesday closures are scheduled from 7am to noon and 3pm to 5pm local (CDT).

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While a minor data point, in context with Starship SN8’s static fire success, the closures alone made it clear that SpaceX planned to begin installing Starship SN8’s nosecone on October 21st. Musk confirmed that assumption a few hours after those road closures were published.

It’s not entirely clear but most observers are assuming that Wednesday’s 7am-12pm window is needed to transport a large, new crane the ~2 miles between SpaceX’s Boca Chica factory and launch facilities. Starship SN8’s stacked nose section would then likely be installed on the same self-propelled mobile transporters (SPMT) and rolled to the launch pad from 3pm to 5pm, after which the nose would be lifted and stacked atop Starship SN8.

A visual comparison of Starship Mk1’s (left) and Starship SN8’s nose sections make clear some of the refinements SpaceX has made in ~12 months. (NASASpaceflight – Nomadd)
The aforementioned new crane was loaded onto an SPMT shortly after SN8’s static fire. (NASASpaceflight – bocachicagal)

SpaceX has only fully stacked a Starship prototype once before when Mk1’s nose section was temporarily mated to its tank section to be the centerpiece of CEO Elon Musk’s October 2019 Starship event. It’s unclear why SpaceX wouldn’t simply use one of the mobile cranes its rented for Starship tank section operations (and stacking Mk1) in the past, so it remains to be seen what Wednesday’s road closures will actually be used for.

SpaceX has only stacked a Starship prototype to its full height once before. (Teslarati – Eric Ralph)

SpaceX’s road closure plans end with a wildcard, however. Once installed, the plan is to perform a second triple-Raptor static fire while only drawing propellant from SN8’s header tanks – small internal tanks designed to hold landing propellant, one of which is situated at the tip of Starship’s nosecone. On October 21st and 22nd, SpaceX still has two 9pm-6am closures scheduled for “SN8 static fire” testing. Filed early on October 20th, before SN8’s successful static fire, the most likely explanation is a simple clerical error or miscommunication, with Cameron County or SpaceX failing to properly communicate that those subsequent static fire test windows are no longer needed.

If retaining the static fire closures was intentional, it would mean that SpaceX – likely at Musk’s urging – intends to install Starship SN8’s nosecone in a matter of hours. It’s almost inconceivable that Starship SN8’s nosecone – outfitted with multiple gas thrusters, forward flaps powered by Tesla motors, a liquid oxygen header tank, vents, and plenty of plumbing – can be installed and made ready for testing in less than 12 hours. Barring a surprise method of mating SN8’s nose and tank sections, the nosecone will have to be welded to the rest of SN8 and the weld inspected – typically a multi-day process.

Starship SN8 stands tall after completing the first triple-Raptor static fire test. (NASASpaceflight – Nomadd)

Regardless, given how quickly SpaceX moves and how dead-set CEO Elon Musk is at pushing limits and breaking barriers, it seems reasonable to assume that Starship SN8 may be fully integrated and ready for a second static fire test just a handful of days from now. Once completed, SN8 will be ready to attempt Starship’s first high-altitude flight test, launching to ~15 km (~9.3 mi) to attempt an untested skydiver-style descent and landing.

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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 and driver sued by family of woman killed in Texas crash: what we know

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Credit: CNBC

Tesla is being sued by the family of the woman who was killed in a Texas crash involving a Model 3. The driver, who is also being sued, claimed the vehicle was operating on Autopilot mode, but Tesla executives have come out challenging that claim, stating that the driver of the vehicle overrode the system.

The lawsuit was filed by 76-year-old Martha Avila’s daughter and her husband, who allege a “design defect” involving a Tesla and a failure to warn. The suit alleges negligence against Tesla and the driver, Michael Butler.

Butler “stated he was operating with an automated driving assistance system engaged at the time of the crash,” the Harris County Sheriff’s Office said in a statement. He showed no signs of intoxication and was cooperative, the Sheriff’s Office said, according to NBC News.

Just after reports of the crash and numerous headlines that immediately blamed Tesla’s Autopilot suite, both Tesla CEO Elon Musk and Head of AI Ashok Elluswamy challenged that. Musk said the crash made “no sense” given that Tesla Autopilot and Full Self-Driving do not travel at the speeds the door cameras captured the car traveling at, which Tesla says was 73 MPH.

Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration

Elluswamy also revealed that Tesla data showed Butler overrode the system by pressing the accelerator to 100%, and that the pedal was compressed fully even after the car had crashed. Tesla has not released this data to the public, likely because it is communicating with agencies like the NHTSA on an investigation.

The suit uses a Washington Post analysis of government data that “identified at least 17 fatal incidents linked to Tesla Autopilot.”

This is far from the first time an accident has been blamed on Autopilot. A fatal crash in Texas was blamed on Autopilot several years ago, but when Tesla released data to the NTSB, which was investigating the crash, Autopilot was not available where the crash occurred, and Autosteer was never enabled, meaning the car was manually controlled at the time of the accident.

More information on the accident will be released as Tesla works with agencies to find the cause of the crash. From personal experience, it is hard to imagine Tesla Autopilot or FSD operating in this manner. It drives sometimes too cautiously in residential areas in parking lots, at least in my experience. Speeding happens, but at this rate in this type of area, it is hard to believe.

We look forward to more details being released with time.

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Cybertruck

Tesla Cybertruck is officially the safest pickup, IIHS says

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Credit: Tesla

The Insurance Institute for Highway Safety (IIHS) has awarded the 2025-2026 Tesla Cybertruck crew cab pickup its highest honor: Top Safety Pick+. This marks the Cybertruck as the only full-size pickup to achieve this distinction in recent evaluations.

The award applies specifically to vehicles built after April 2025, following structural upgrades including front underbody reinforcements and footwell modifications.

These changes enabled strong performance in updated crash tests. The Cybertruck earned “Good” ratings in the small overlap front (driver and passenger sides), updated moderate overlap front, and updated side tests—core requirements for the Top Safety Pick+ designation.

It also secured acceptable or good headlights across trims and a “Good” rating for its standard front crash prevention system in pedestrian scenarios, along with acceptable or good performance in vehicle-to-vehicle testing.

The Cybertruck avoided every single pedestrian collision, including:

  • Daytime child crossing
  • Nightitime adult crossing
  • Night parallel adult

In the large pickup category, competitors such as the Toyota Tundra received only a standard Top Safety Pick, while the Ford F-150 and Ram 1500 did not qualify for either award. This positions the Cybertruck as a standout in occupant protection and crash avoidance among its peers.

Credit: IIHS

Ironically, the same vehicle celebrated for superior U.S. safety performance remains banned from public roads in the United Kingdom and much of Europe. Regulators there cite the Cybertruck’s sharp external edges and highly rigid stainless-steel construction as failing pedestrian-protection standards. European and UK rules require rounded surfaces on protruding parts to minimize injury risk in collisions with vulnerable road users.

Critics also point to the truck’s substantial weight and unyielding body structure, which some argue could transfer more force to other vehicles or pedestrians rather than absorbing it.

Tesla’s engineering philosophy underpins the Cybertruck’s strong IIHS results. The vehicle features a distinctive stainless-steel exoskeleton made from ultra-hard 30X cold-rolled stainless steel. This provides exceptional structural rigidity and a robust safety cage that resists deformation in side impacts and rollovers.

Engineers designed integrated load paths to channel crash forces away from the occupant compartment while allowing controlled energy absorption in key zones. Post-April 2025 refinements to the front underbody further optimized performance in overlap crashes.

Complementing the passive structure is Tesla’s advanced active safety suite, including the standard Collision Avoidance Assist system with automatic emergency braking. This contributed directly to the vehicle’s strong front crash prevention scores. The skateboard platform and low center of gravity also enhance stability and handling, reducing the likelihood of certain crashes.

The IIHS recognition highlights how Tesla’s combination of high-strength materials, structural innovation, and software-driven safety systems can deliver top-tier protection in rigorous testing. While global regulatory differences on design and pedestrian interaction continue to limit the Cybertruck’s availability outside North America, its U.S. safety credentials set a new benchmark for full-size pickups.

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Elon Musk

SpaceX’s newest Starmind will make earth data centers obsolete

Elon Musk confirmed Starmind as SpaceX’s AI satellite constellation name, targeting one million orbital compute nodes.

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Elon Musk confirmed that Starmind will be the official name of SpaceX’s planned AI satellite constellation, following a trademark filing by xAI that surfaced earlier this week. Starmind is what’s being described to the FCC as a constellation of up to one million AI satellites

It’s worth noting that SpaceX’s Starlink communication satellite and Starmind are built on the same orbital infrastructure concept but serve entirely different purposes. Starlink is a connectivity network, with satellites receiving and relaying data between points on Earth, and functioning as a high-speed internet backbone in space. The satellites themselves do not process or think, and move information from one place to another, the same function a fiber cable performs underground.

SpaceX just forced Verizon, AT&T and T-Mobile to team up for the first time in history

Starmind, on the other hand, is something completely different, and tather than moving data, its satellites would compute data through artificial intelligence and directly in orbit using onboard processors powered by large solar arrays. Where a Starlink satellite is essentially a very fast pipe, a Starmind satellite is a server. The practical implication is that Starmind would allow AI models to run inference, process queries, and generate outputs from space, then beam results down to users anywhere on Earth within milliseconds, and without the data ever needing to travel to a terrestrial data center.

Starship will be able to carry 30 to 50 AI1 satellites per launch, delivering the equivalent of dozens of server racks per flight, with no land acquisition, no power grid approval, and no cooling infrastructure required on the ground.

SpaceX is pursuing this new technology as terrestrial data centers are running into hard limits such as lack of physical space, community opposition, and power and water consumption at a scale that is increasingly difficult to permit. Space has unlimited solar power, natural vacuum cooling, and no zoning boards. Musk said in a June 8 video presentation that he expects space to become the lowest-cost location to deploy AI compute within two to three years. Two AI1 prototypes are scheduled to launch in early 2027, with volume production targeted for the end of that year at a new facility called Gigasat.

The real world applications Starmind enables extend well beyond powering Grok. A constellation of orbiting AI processors could run inference workloads for any paying customer, anywhere on Earth, with latency measured in milliseconds rather than the seconds associated with ground-based cloud routing across continents. Starmind, if it scales as described, would make SpaceX the landlord of AI compute the same way Starlink made it the landlord of satellite internet.

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