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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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Tesla is using vehicle microphones to improve build quality: here’s how

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Credit: Tesla

Tesla is using the vehicles’ internal microphones to improve build quality, Vice President of Engineering Lars Moravy revealed recently.

It’s no secret that Tesla is always finding ways to make its manufacturing operations more efficient, accurate, and valuable. Constantly trying to make its cars better, the company has never placed any restrictions on what it will do to improve everything from panel gaps to paint.

As Teslas have been driving autonomously on the property of the Gigafactory Texas plant for a while now, Moravy revealed to Herbert Ong in a new interview that cars rolling off production lines now autonomously navigate themselves through a bumps, squeaks, and rattles (BSR) portion of the line. This helps to identify any loose or improperly installed internal parts.

The cabin’s microphones, which are used for a variety of things in ownership, simultaneously monitor any noises inside the vehicle while it rolls through the BSR portion of the production line. Moravy actually revealed that Tesla is trying to build “Full Self-Hearing,” an AI system that will detect minor imperfections so they can be corrected before delivery.

It’s no secret that build quality is something that Tesla struggled with as it scaled to a fully massive production operation that manufactures over 1.6 million vehicles per year. However, in recent years, especially, there have not been as many complaints. Tesla has truly improved upon its build quality and paint quality over the past several years, especially in the U.S.

Tesla’s ‘megacasts’ are key to massive build quality improvements

While those improvements have been evident, there are still some complaints; no automaker is perfect with this. But this step will now ensure that every single car that rolls off the production lines at Gigafactory Texas will be void of any creaks, squeaks, or squeals when it leaves the factory.

This measure is one of the most unique we’ve seen in terms of a strategy to avoid build quality issues, but it is not exclusive to Tesla.

Ford uses acoustic analysis AI to find abnormalities in seat motors, climate control units, and other components. Suppliers and OEMs will also use microphone arrays or particle velocity sensors in end-of-line stations.

The full interview with Lars Moravy is available below:

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Investor's Corner

Tesla crushes Wall Street expectations, beats delivery estimates by over 15 percent

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Tesla (NASDAQ: TSLA) beat Wall Street expectations of 406,000 vehicles delivered in Q2 by reporting 480,126 deliveries for the three months ending in June.

Tesla reported it delivered 467,762  Model 3 and Model Y units, while 12,364 Model S, Model X, and Cybertrucks switched hands during the quarter. The Model S and Model X were officially sunset this past quarter and will no longer be part of the company’s Production & Delivery reports moving forward.

The quarter is a pleasant surprise and a good rebound from Q1, when Tesla slightly missed the Wall Street consensus of 365,645 cars by reporting 358,023 deliveries for the first three motnhs of the year.

Energy storage deployments also provided some strength in Tesla’s delivery report, hitting 13.5 GWh for Q2. This is a particular division of Tesla’s business that has been overwhelmingly robust over the past few years, truly being a strong point of the company’s overall model.

For the year, Tesla analysts still predict deliveries to trend in the 1.69 million unit region, a modest 3 to 5 percent increase from the 1.64 million cars the company delivered last year. Tesla will likely return to more sequential and noticeable year-over-year growth as the Cybercab project starts to ramp up considerably in the next few years.

Tesla has some other potential catalysts to spur vehicle deliveries, too. Not only is it expecting Cybercab to truly start making a change in the next few years, but other vehicles could be entering the company’s lineup.

Tesla sends production Cybercab with no steering wheel, pedals to on-road testing

The slightly longer Model Y L has been a highly speculated release candidate in the U.S. It has already done incredibly well in China, and U.S. buyers have been wanting slightly more interior space than the Model Y. Now that the Model X is gone, it is more needed than ever.

Q2 highlights a pretty stable automotive division within Tesla, and no true concerns arise from these figures, especially considering it managed to beat expectations convincingly.

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Tesla Optimus project fires up as Musk sees production line progress

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Credit: Elon Musk | X

Tesla CEO Elon Musk posted a photo of himself standing with the Optimus production team inside Tesla’s Fremont factory, arms crossed amid workers in hard hats and safety vests. The image captures a pivotal industrial shift: the same facility space once dedicated to building Tesla’s flagship Model S sedan and Model X SUV is now home to the company’s humanoid robot manufacturing line.

Tesla’s Fremont Factory, acquired in 2010 from the former NUMMI joint venture between Toyota and GM, has been the company’s original U.S. manufacturing hub since Model S production began in 2012.

The Model X followed soon thereafter. These premium vehicles offered lower annual volumes, recently around 30,000 combined, compared to the high-volume Model 3 and Model Y lines that continue around the site. Over their combined run, the S and X accounted for roughly 610,000 units.

In late January 2026, during Tesla’s Q4 2025 earnings call, Elon Musk announced the end of Model S and Model X production in Q2 2026. The final vehicles rolled off the line in early May. Rather than retooling for another vehicle, Tesla chose to convert the dedicated S/X assembly area into a dedicated Optimus Gen 3 production line.

Model 3 and Y manufacturing remains unaffected. Tesla’s official Fremont Factory page now lists Optimus alongside the 3 and Y as core products.

The conversion was executed with remarkable speed. After production stopped, crews dismantled the existing vehicle line and installed entirely new modular equipment—including lines sourced from Germany and dozens of sub-lines for actuators, batteries, and other components—in roughly four months.

Musk described the timeline as “insanely fast,” noting it would be unprecedented for any other manufacturer. Initial Optimus output is expected to ramp slowly due to the robot’s roughly 10,000 unique parts and the brand-new production processes involved. The Fremont line targets an eventual capacity of 1 million Optimus units per year.

Tesla isn’t joking about building Optimus at an industrial scale: Here we go

Optimus Development Timeline

  • August 19, 2021: Optimus (then called Tesla Bot) formally announced at Tesla’s first AI Day. A concept video showed a person in a suit demonstrating the vision for a general-purpose humanoid capable of dangerous, repetitive, or boring tasks using the same AI architecture as Full Self-Driving.
  • 2022: Early prototypes displayed. At the second AI Day in September, semi-functional units demonstrated walking across a stage and basic arm movements
  • 2023: September videos showed improved capabilities, including sorting colored blocks, precise limb awareness, and holding a Yoda pose.
  • 2024-early 2025: Factory integration videos showed Optimus navigating workspaces and handling objects like battery cells.
  • January 2026: Gen 3 mass-production activities began at Fremont, with reports of over 1,000 Gen 3 units already operating inside the factory for real-world learning and AI training
  • April 2026: Musk confirms Optimus production on converted Fremont line would begin in late July or August 2026. The Gen 3 reveal, originally eyed for Q1, was pushed closer to production start. A second, much larger Optimus factory at Giga Texas is under construction, with volume production targeted for Summer 2027 and long-term capacity of 10 million units annually
  • July 1, 2026: Musk’s on-site visit and team photo confirm the Optimus line is operational and the transition is actively progressing

Tesla positions Optimus as potentially its largest project ever, leveraging vertical integration, AI expertise, and car-like manufacturing know-how to scale humanoid robots first for its own factories and later for broader industrial and consumer use.

The Fremont conversion serves as a critical proving ground for this ambitious new chapter in Tesla’s already-rich history.

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