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SpaceX readies its California landing pad for September rocket recovery debut

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Just as SpaceX successfully debuted Falcon 9 Block 5 at their California launch pad and returned drone ship Just Read The Instructions (JRTI) to rocket recovery duty after a nine-month leave, the company’s next West Coast mission is already aligning for an early-September launch. The mission, SAOCOM-1A, will feature yet another inaugural event – the first use of a West Coast landing pad less than a mile from SpaceX’s Vandenberg launch pad.

For the last two and a half years, SpaceX’s Florida launch sites (Pad 40 and Pad 39A) have also been privy to a unique secondary facility known as Landing Zone-1, located a few miles away from both pads inside the boundaries of Cape Canaveral Air Force Station (CCAFS). In fact, although a number of attempts were made to recover a Falcon 9 booster aboard drone ship Of Course I Still Love You (OCISLY) in 2015, the first successful Falcon 9 booster landing happened to occur at LZ-1, followed four months later by the first successful recovery by sea.

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Why land on land, why land at sea?

The primary draw of an equivalent land-based pad is both simple and massive: while SpaceX’s autonomous drone ship vessels are complex, comparatively easy to damage, and extremely expensive to both operate and maintain, a concrete circle on land has relatively tiny fixed and variable costs, does not have to concern itself with volatile ocean conditions, and does not require a fleet of tugboats and service vessels to operate. Rough estimates place the cost of taking a drone ship, tugboat, and crew transport vessel hundreds of miles off the coast on missions that can last 7-14 days anywhere from $500,000 to $2 million or more, depending on how you tabulate costs. Either way, the drone ship fleet will always be more complex and more expensive than simple concrete pads on land.

One problem with land-based landing zones is that returning rockets to their launch sites is very fuel-intensive, requiring propellant margins at booster stage separation that dramatically reduce the payload that can be placed into low Earth orbit (LEO), let alone higher-energy missions to geostationary orbit. As such, without massive performance improvements, drone ships like JRTI and OCISLY will be irreplaceable for as long as Falcon 9 and Heavy are flying – SpaceX simply cannot recover rockets during the geostationary launches that comprise a huge portion of their manifest unless they have those vessels.

 

This brings us to another conundrum. SpaceX’s Florida launch facilities support heavy commercial geostationary satellite launches as much as or more than any other type of payload in a given year of launches, meaning that the company’s now-doubled landing pad at LZ-1 is only used every once and awhile for Cargo Dragon launches and other miscellaneous and rare launches that leave enough margin in Falcon 9. SpaceX’s Vandenberg pad, on the other hand, is effectively bound to launching satellites into polar orbits (orbiting over Earth’s poles versus around the equator) – safety regulations prevent large rockets from launching over populated areas like the entire continental U.S., as an example for California launches.

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Equatorial launches from East to West are much less efficient than their opposite, as Earth’s own rotation (West to East) provides rockets an appreciable performance boost. The point is that SpaceX’s Vandenberg launches are for fairly particular payloads, usually LEO communications satellites and imaging satellites that thrive in polar orbits, where one or a handful of satellites can observe almost anywhere on Earth over the course of a normal 24-hour. Those satellites also happen to be lightweight more often than not, meaning that many of the booster recoveries on drone ship JRTI could instead return to launch site (RTLS) for a dramatically simpler and cheaper recovery.

Enter Block 5

A West Coast LZ is even more intriguing and important with respect to the recent debut of Falcon 9 Block 5 at Vandenberg and the fact that all future launches. Even compared to SpaceX’s Florida LZ-1, the company’s Western pad is incredibly close to the launch pad. By landing less than a mile from SpaceX’s VAFB integration and refurbishment facilities (and launch pad), recovery and refurbishment operations should be more effortless than any before it.

 

While the company’s VAFB launch pad is a bit older than its Eastern cousins and requires at least 3-5 weeks between launches for repairs and refurbishment, that relaxed schedule may be unbeatable for proving out the Block 5 upgrade’s true rapid reusability, as well as its ability to far more than two orbital missions per booster lifespan. SAOCOM-1A, one of two Argentinian Earth observations scheduled for launch with SpaceX, will begin that new era for SpaceX’s Vandenberg operations, including a landing pad debut permit officially granted by the FCC in the last few weeks. The Falcon 9 booster that launches that mission is bound to have a storied future ahead of itself.

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For prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket recovery fleet (including fairing catcher Mr Steven) check out our brand new LaunchPad and LandingZone newsletters!

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.

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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.

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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.”

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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.”

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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

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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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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.

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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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