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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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Investor's Corner

Tesla has its answer to auto growth, it just has to bring it to the U.S.: analyst

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Credit: Tesla China

Tesla has its answer to grow its automotive sales over the next few years, TD Cowen analyst Itay Michaeli says, but it just has to bring it to the U.S.

On Thursday, Michaeli reiterated his $490 price target and the ‘Buy’ rating he already held on Tesla stock (NASDAQ: TSLA). However, its automotive division has struggled to show sequential growth over the past few years, mostly due to its focus on AI and Full Self-Driving. Tesla already axed two of its lower-volume vehicles with the Model S and Model X earlier this year.

However, Tesla does not need to engineer an entire new vehicle to trigger an upward tick in sales; it just has to bring it from China to the U.S., Michaeli said.

He is talking about the Model Y L, a slightly larger version of the all-electric crossover that is already available in China. U.S. customers have been pleading with CEO Elon Musk to bring it to the country since its launch in Asia last year, but he’s not convinced of it because of the advent of self-driving and its importance in this particular market.

The problem is that Tesla owners have been requesting something larger that could fit a typical American family. The Model Y L is slightly larger than the standard Model Y, but some are concerned that it could still be too small to fit what most people might need.

Instead, they have asked for a full-size SUV from Tesla.

Tesla gives big hint that it will build Cyber SUV, smaller Cybertruck

Nevertheless, the Model Y L still presents a great opportunity for Tesla in the U.S., and Michaeli says that there is an additional sales opportunity of about 100,000 units, with demand potential falling somewhere between 60,000 and 135,000 units.

TD Cowen’s note to investors also analyzed that Tesla’s growth could come from a stock perspective as well, positively impacting the stock price, as it has been widely reliant on vehicle sales, even though Tesla has truly phased itself away from that being an important metric.

Tesla stands to gain greatly from the introduction of the Model Y L in the U.S., but only if Elon Musk sees it as a viable fit for the market. Families may need to see Tesla bring something larger to the U.S., or they might be forced to buy from another automaker that offers something that fits is needs for more interior space to haul around the kids.

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Tesla Hardware 3 owners could be made whole this month

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tesla-asia-model-3
Credit: Tesla Asia/Twitter

Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.

The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.

This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.

It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”

Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”

However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”

Tesla has made some effort to remedy these Hardware 3 owners by offering:

  • Discounted trade-ins toward AI4 cars
  • Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
  • Full Self-Driving v14 Lite

The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.

Expectations for Tesla v14 Lite for Hardware 3 Owners

The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.

Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.

Tesla reveals its plans for Hardware 3 owners who are eager for updates

This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.

There should also be a handful of additional features that are available on AI4 cars, such as:

  • Starting Full Self-Driving from Park
  • Auto Shift
  • Streaks
  • Speed Profiles
  • Improved Dynamics, like Pulling Over for Emergency Vehicles

Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.

We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.

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Elon Musk

SpaceXAI just launched into your kitchen with their new app

SpaceXAI just powered its first consumer app and it predicts what you want to buy.

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SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.

Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.

Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.


Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.

Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.

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