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SpaceX’s next three-Raptor Starship static fire delayed by winds, says Elon Musk

SpaceX CEO Elon Musk says that Starship SN8's next triple-Raptor static fire test has been delayed by high winds in South Texas. (NASASpaceflight - bocachicagal)

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CEO Elon Musk says that SpaceX’s second three-Raptor Starship static fire test has been delayed several days by bad weather at the company’s South Texas launch facilities.

Prior to Musk’s tweet, all signs pointed to a second static fire test as early as 5am to 11am CDT on Friday, October 30th – made official by a paper safety notice SpaceX distributes to remaining Boca Chica Village residents around 12-24 hours prior. Unfortunately, however, Musk says that SpaceX ran into “some challenges with high winds” – seemingly canceling today’s static fire attempt.

SpaceX has successfully installed three Raptors on Starship SN8 and is scheduled to attempt the first triple-engine static fire as early as October 14th. (Elon Musk)

On the other hand, there’s a chance that SpaceX’s October 30th safety warning and 5am-11am window could be for Starship SN8’s first wet dress rehearsal (WDR) with a nosecone (and thus a liquid oxygen header tank) installed. A wet dress rehearsal refers to the process of putting a rocket through a flow identical to what is done on launch day – albeit short of actually igniting or launching the rocket. In that sense, it’s essentially one step shorter than a static fire.

Road closure filings prior to November 1st are ambiguous, however, with no specific purpose disclosed. Technically, as long as SpaceX doesn’t perform a static fire or flight test without giving residents significant prior notice and necessary FAA/FCC approvals, road closures can more or less be used to whatever end the company deems necessary.

As far as triple-Raptor static fire testing goes, it’s unclear how anything less than mechanically dangerous wind conditions could interfere with Starship. Given that winds of 20-30 mph (and gusts even higher) are far from uncommon on the South Texas coast, Starship will need to be able to tolerate – and launch in – even worse weather.

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Starship SN8 is no longer attached to a crane at its nose, leaving the task of withstanding wind sway entirely up to the launch mount and the rocket’s rigidity. (NASASpaceflight – bocachicagal)

Prototype testing is substantially different than operational flight procedures, though, and well-characterized test conditions and repeatability are essential for a company like SpaceX where the ‘build-test-fly-fail’ philosophy is the foundation of R&D. The process of functionally and permanently mating Starship SN8’s tank/engine and nose sections – a first for the Starship program – began less than ten days ago, so Musk is most likely referring to wind disrupting SN8’s on-pad integration.

SpaceX’s extensive reliance upon wheeled boom lifts to ferry workers around and inside Starship SN8 and the sheer scale and surface area of the rocket likely translate to an unsteady and relatively unsafe work environment in high winds.

Regardless of whether SpaceX actually puts Starship SN8 through any kind of tests on October 30th, the company has four more road closures (i.e. test windows) scheduled from Sunday to Wednesday. Aside from a 7pm to 1am CST (UTC-6) window on November 1st, SpaceX’s Mon-Wed testing will occur between 9am and 11pm. In Cameron County, Texas regulatory documents, SpaceX says it will use those windows for “SN8 Nose Cone Cryoproof” testing, referring to the process of filling the rocket’s tanks with supercool liquid nitrogen to verify their behavior at extreme temperatures.

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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Elon Musk secretly acquires $1B energy company to power the AI future

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

Elon Musk flew under the radar with his recent purchase of a $1 billion energy company, according to Federal Trade Commission (FTC) documents.

Transaction number 202612350 listed Tesla and SpaceX frontman Elon Musk as the acquiring party and CF APR Super Holdings LLC as the seller, with New APR Energy, LLC as the acquired entity. The deal, which closed without public announcement, came to light on May 14.

Analysts inferred the deal’s scale from minority stakeholder disclosures, including one report of a 5 percent interest sold for approximately $50.4 million. Fortress Investment Group had purchased APR’s assets in late 2024, rebranded the operation as New APR Energy, and subsequently transferred ownership to Musk.

APR Energy specializes in rapidly deployable power infrastructure. The company maintains one of the world’s largest fleets of mobile gas and diesel turbines, with more than 1.1 gigawatts of generation capacity. Its modular units, which are often trailer-mounted, enable turnkey installations ranging from 20 MW to over 500 MW.

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APR provides full engineering, procurement, construction, operation, and maintenance services for behind-the-meter power plants, serving everything from data centers, utilities, and industrial clients.

The firm has expanded aggressively to meet surging demand, recently adding turbines and deploying over 100 MW for a major AI hyperscaler. Its solutions bridge critical gaps where grid interconnections face delays of two to five years, according to Yahoo.

The acquisition means something more for Musk. As he continues to expand projects in artificial intelligence, especially xAI, his AI venture, there is a greater need to supply energy-intensive supercomputing clusters, including the Colossus project, with what they need: reliable and high-capacity power.

Ownership of APR provides immediate access to flexible generation assets that can be deployed adjacent to data centers, reducing dependence on a strained infrastructure. It also complements Tesla’s energy storage business, so Musk will be able to pull from his own entities to address the rapid scaling demands of AI training and compute.

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Tesla has to fix a big problem with its old headlights, NHTSA says

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tesla model 3 first generation headlight
Credit: Tesla Asia/Twitter

Tesla had a petition protesting a recall to fix a potential issue with 2017-2023 Model Y and Model 3 vehicles’ headlights was denied, as the National Highway Traffic Safety Administration (NHTSA) disagreed with the company’s opinion of things.

The recall covers approximately 19,917 Model Y and Model 3 vehicles built from 2017 to 2023. Tesla initially submitted a noncompliance report for the headlights on these vehicles on March 15, 2024. Tesla then petitioned for an exemption from the fix, which violated FMVSS No. 108 (40 CFR 571.108), arguing that the “noncompliance is inconsequential as it relates to motor vehicle safety.

The NHTSA disagreed, stating that Tesla’s conclusion that the headlights do not increase any risk was not an opinion it shared. The agency said it disagreed with Tesla’s assumption that glare is not increased to surrounding traffic. This issue could be highlighted even more in certain weather conditions.

Tesla will be required to remedy the issue, the NHTSA ruled:

“In consideration of the foregoing, NHTSA has decided that Tesla has not met its burden of persuasion that the subject FMVSS No. 108 noncompliance is inconsequential to motor vehicle safety. Accordingly, Tesla’s petition is hereby denied, and Tesla is consequently obligated to provide notification of and free remedy for that noncompliance under 49 U.S.C. 30118 and 30120.”

The issue here appears to be the angle of the headlights and the brightness they emit during operation. The NHTSA report states that:

“Tesla’s headlamp supplier, Marelli Automotive Lighting, tested 25 right-hand and 25 left-hand lamps, and for this sample, found the maximum photometric intensity measured in the 10°U to 90°U and 90°L to 90°R zone was between 136.2 cd and 230.1 cd for the right-hand lamps and between 117.5 cd and 160.3 cd for the left-hand lamps. According to Tesla, these tests revealed that the photometric intensity of the right-hand and left-hand headlamp lower beam on the subject vehicles may measure as much as 230.1 cd in the 10°U to 90°U and 90°L to 90°R zone, exceeding the maximum photometric intensity by 105.1 cd. Additionally, Tesla states that a left-hand lamp tested by a Transport Canada recognized laboratory measured a maximum of 171.27 cd in the 10°U to 90°U and 90°L to 90°R zone. Despite these measurements exceeding the allowed photometric maximum of 125 cd, Tesla believes that the subject noncompliance is inconsequential to motor vehicle safety.”

Tesla also argued at some points that the headlights had not been deemed responsible for any complaints, accidents, or injuries related to the noncompliance.

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NTSB findings on fatal Tesla crash tell a very different story

The NTSB confirmed the driver, not Tesla’s FSD, caused the fatal Texas house crash.

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The National Transportation Safety Board released preliminary findings Wednesday confirming that a Tesla driver, not the vehicle’s software, caused a fatal crash in Katy, Texas in June. The driver, 44-year-old Michael Butler, had engaged Full Self-Driving Supervised mode on Rose Hollow Lane, a residential street with a 30 mph speed limit, before manually overriding the system by pressing the accelerator pedal all the way to 100%. Data recovered from the 2025 Tesla Model 3 showed the vehicle was traveling over 70 miles per hour when it struck a home and killed 76-year-old Martha Avila, who was inside. Weather was clear, the road was dry, and it was daylight.

Texas man charged in fatal Tesla crash where he blamed Autopilot

Butler told authorities he had passed out at the wheel. But security camera footage obtained by the NTSB told a different story, and showed the car accelerating through an intersection before leaving the road entirely. Police also found that Butler’s phone had Google searches including the terms “Tesla FSD not aggressive enough 2026” and “Tesla FSD too timid,” raising serious questions about how he was using the system before the crash. Butler has since been charged with manslaughter. The victim’s family has filed a lawsuit against both Butler and Tesla, alleging negligence.

The NTSB findings aligned directly with what Tesla VP of AI Software Ashok Elluswamy had already stated publicly on X in the weeks after the crash, writing that “the driver manually overrode self-driving by pressing the accelerator all the way to 100%.” The data confirmed his account.

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