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SpaceX returns Starship booster to factory after two major Raptor tests

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For the sixth time this year, SpaceX has returned the same Super Heavy booster prototype to its South Texas Starship factory after completing several tests.

Why is unclear. Super Heavy Booster 7 left the factory for the first time in March 2022 and has been stuck in a seemingly continuous state of testing, rework, and retesting ever since. While the pace of testing and progress was in many ways more aggressive from 2019 to mid-2021, it still can’t be said that SpaceX has been slacking off in 2022. Booster 7 alone completed more than 24 distinct tests (including six static fires) between early April and late November.

But in a shift from the first three or so years of steel Starship development, SpaceX CEO Elon Musk has ceased to be a consistent source of information on the purpose and results of many of those tests, even as NASA has begun to funnel hundreds of millions of taxpayer dollars into the Starship program. Save for occasional tidbits from SpaceX, Musk, and NASA; or deep unofficial analyses of public information, the day-to-day or week-to-week status of Starship has generally been relegated to speculation. Over the last few months, that information void has only grown larger.

Perhaps the biggest near-term update this year came from a senior NASA official on October 31st. In an advisory briefing, Mark Kirasich – Deputy Associate Administrator for Artemis Campaign Development – offered a surprising amount of detail about SpaceX’s near-term plans and even reported that Starship’s first orbital test flight was expected as early as December 2022, pending several crucial tests. But more than five weeks later, SpaceX appears to have only made a modest amount of progress towards those milestones and has yet to attempt the two most important tests.

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Nonetheless, some progress – however indeterminate without official information – has been made. As of Kirasich’s briefing, SpaceX was in the middle of a relatively minor series of cautious propellant loading tests with Booster 7 and Ship 24, which were stacked on October 20th. After three more partial full-stack tests in the first seven days of November, Ship 24 was removed. Aside from the visible steps SpaceX took after, little is known about the outcome of those propellant loading tests.

Ship 24’s fate is a different story, but Super Heavy B7 appeared to make it through full-stack testing in great shape. On November 14th, Booster 7 completed a record-breaking 14-engine static fire, doubling its previous record of seven engines and likely becoming one of the most powerful rockets in history. Musk simply stated that the “test went well”.

Poor weather undoubtedly contributed, but it would be another 15 days before Booster 7’s next test. On November 29th, after an aborted test on the 28th, SpaceX followed Booster 7’s record-breaking 14-engine static fire with a longer 13-second test of 11 Raptors. Before engine ignition, SpaceX loaded Booster 7 with around 2800 tons (~6.2M lb) of liquid oxygen (LOx) propellant in less than 90 minutes, making it a partial wet dress rehearsal (the methane tank was barely filled) as well. Musk called it “a little more progress towards Mars” and SpaceX shared a photo of the static fire on Twitter, but the results of the test – meant “to test autogenous pressurization” – were kept mostly opaque.

That uncertainty didn’t help when two of Booster 7’s 33 Raptor engines were removed immediately after the long-duration test. Then, Booster 7 was removed from Starbase’s lone ‘orbital launch mount’ on December 2nd and rolled back to the factory’s High Bay assembly facility on December 3rd. Historically, SpaceX has only returned Booster 7 to the factory to repair damage or install missing hardware. Without official information, it’s impossible to say why Booster 7 returned for the sixth time.

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The most optimistic explanation is that SpaceX brought the Super Heavy booster back to the factory to fully close out its engine section heat shield, which currently has 20 missing panels for each of its outer Raptor engines. But there’s a good reason that those panels were never reinstalled. Any replacements would need to be modified to ensure that the ad-hoc system installed to prevent the conditions that led to Booster 7’s first explosion from recurring can still be used for future static fire tests. Even then, it’s unclear why SpaceX would need to reinstall those panels now for Booster 7’s upcoming 33-engine static fire(s) and full-stack wet dress rehearsal(s) when they weren’t needed for 11 and 14-engine static fires and a dozen other fire-free tests.

Depending on why Booster 7 is back at the factory, there is a precedent for it returning to the launch site as early as next week. Alternatively, if major work or repairs are required, it could be six weeks before SpaceX returns the rocket to the launch pad. Given that the full wet dress rehearsals and one or several 33-engine static fires standing between Booster 7 and flight readiness will be riskier and more challenging than any other test the prototype has completed to date, there is no real chance that Starship will be ready for its first orbital launch this year.

In fact, without detailed information, especially regarding Ship 24’s mysterious state, it’s difficult to pinpoint a viable target for Starship’s orbital launch debut more specific than the first half of 2023. But with any luck, even if it requires a substantially longer wait, SpaceX’s recent decision to make Starbase move slower and break fewer things will hopefully pay off with a successful debut sometime next year.

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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 Model Y L gets biggest hint yet that it’s coming to the U.S.

Over the past week, a noticeable wave of American Tesla influencers descended on China and Australia, each posting in-depth YouTube reviews of the Model Y L within days of one another.

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Credit: Tesla China

The Tesla Model Y L is perhaps the most wanted vehicle in the company’s lineup in the United States, especially now that it is void of a true family vehicle with the removal of the Model X.

In China, Tesla currently offers a longer, more family-friendly version of the Model Y, known as the Model Y L, which is longer in terms of its wheelbase and larger in terms of interior space, making it the perfect option for those with a need for a tad more room than what the all-electric crossover offers in its Standard, Premium, and Performance trims.

However, there seems to be a hint that the Model Y L could be on its way to the United States. Over the past week, a noticeable wave of American Tesla influencers descended on China and Australia, each posting in-depth YouTube reviews of the Model Y L within days of one another:

The timing has sparked some intense speculation as to whether Tesla is quietly preparing to bring the long-wheelbase, three-row family SUV to North America after months of requests from fans.

The Model Y L stretches the wheelbase by about five inches compared to the standard Model Y.

This delivers dramatically more rear legroom, optional captain’s chairs in the second row, and a true six- or seven-seat configuration ideal for growing families. Reviewers praise its refined ride, upgraded interior features like a rear touchscreen and premium audio, and competitive range—up to roughly 466 miles in some configurations.

Many observers see the coordinated influencer trip as more than a coincidence. Tesla China appears to have hosted the group, possibly tied to the Beijing Auto Show, giving U.S.-focused creators early access to hands-on footage aimed squarely at North American audiences.

Tesla Model Y lineup expansion signals an uncomfortable reality for consumers

Tesla watchers are quick to point out this isn’t the first time such a pattern has emerged.

Just months earlier, American influencers were similarly invited to China to test-drive the refreshed Model Y Performance. Those videos dropped in the lead-up to the variant’s U.S. rollout, generating exactly the kind of pre-launch hype that helped smooth its September arrival in American showrooms.

The parallel is obviously hard to ignore, as Tesla has used overseas influencer trips before as a low-key way to build anticipation without formal announcements. With the Model Y L potentially hitting the U.S. market late this year, according to CEO Elon Musk, the timing would make sense.

Tesla Model Y L might not come to the U.S., and it’s a missed opportunity

Of course, it could still be coincidental. Tesla regularly invites creators to its Shanghai factory and events for broader promotional purposes, and the Model Y L has been on sale in China for some time. No official word has come from Tesla or Elon Musk about U.S. availability, pricing, or timing.

Import tariffs, regulatory hurdles, and production priorities at Fremont or the new Mexican Gigafactory could still delay or alter any stateside plans.

Even so, the buzz is real. U.S. families have long asked for a more spacious, three-row Tesla SUV that doesn’t require stepping up to the larger Model X.

If the influencer campaign is any indication, the Model Y L—or a close North American cousin—could finally answer that call. For now, American Tesla fans are watching closely and wondering whether this latest China trip is just good content… or the opening act for something much bigger stateside.

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Tesla begins probing owners on FSD’s navigation errors with small but mighty change

Previously lumped under “Other,” these incidents made it harder for Tesla’s AI team to isolate and prioritize map-related issues in their reinforcement learning models. There was a lot of disagreement on how certain interventions should be reported.

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Tesla has started probing owners on how often its Full Self-Driving suite has Navigation errors with a small but mighty change last night.

In its latest Software Update, which is Version 2026.2.9.9 featuring Full Self-Driving (Supervised) v14.3.2, Tesla has introduced a targeted improvement to how owners will report interventions.

With the initial rollout of v14.3.2, Tesla introduced a new Intervention Menu that appears when a disengagement occurs. It allowed owners to choose from four different categories: Preference, Comfort, Critical, or Other.

Tesla has voided the Other option and replaced it with a new “Navigation” choice, which seems much more ideal given the complaints owners have had about navigation. This seemingly minor UI tweak, rolled out widely in recent days, marks another step in Tesla’s ongoing effort to refine its autonomous driving stack through precise, crowdsourced data.

Tesla made this change in direct response to longstanding community feedback. For years, FSD users have noted that navigation errors—such as incorrect speed limits, suboptimal routes, or directing the vehicle to a building’s rear entrance instead of the main one—frequently force interventions.

Previously lumped under “Other,” these incidents made it harder for Tesla’s AI team to isolate and prioritize map-related issues in their reinforcement learning models. There was a lot of disagreement on how certain interventions should be reported:

By adding a dedicated “Navigation” label, the company can now tag disengagements more accurately, feeding cleaner data into its neural networks. This supports faster iteration on routing algorithms, map accuracy, and intent-aware navigation.

Community consensus around Tesla’s navigation system has been consistent and candid. While the end-to-end AI driving behavior in v14.x earns widespread acclaim for smoothness and safety, navigation remains FSD’s clearest Achilles’ heel.

Owners frequently cite outdated map data, failure to learn from repeated corrections, and routing decisions that feel less intuitive than Google Maps or Apple Maps. Common complaints include phantom speed-limit changes, inefficient local roads, and poor point-of-interest handling.

Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

Many drivers report intervening on navigation far more often than on core driving maneuvers, with some estimating it accounts for the majority of disengagements outside of edge cases.

Long-term users note that the same mapping glitches persist across years and software versions, despite thousands of collective miles of feedback. Yet the addition of the “Navigation” option has been met with optimism. It signals Tesla’s commitment to data-driven progress and suggests navigation improvements could arrive sooner.

For a community that already logs millions of FSD miles monthly, this small change could unlock meaningful gains in reliability and user trust—potentially accelerating the path to unsupervised autonomy.

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Tesla expands Robotaxi in a way that was long anticipated

Instead, it has to do with the consumer base it offers Robotaxi to, because it has not offered it to everyone in the past.

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Credit: Grok Imagine

Tesla has expanded Robotaxi in a way that was long anticipated, and it does not have to do with a new, larger geofence in a city where it already offered its partially autonomous ride-hailing suite, or a new city altogether.

Instead, it has to do with the consumer base it offers Robotaxi to, because it has not offered it to everyone in the past.

Tesla has taken a major step forward in its autonomous ride-hailing ambitions with the official launch of the Tesla Robotaxi app for Android users. Released on the Google Play Store on April 24. Titled simply “Tesla Robotaxi,” the app is now available to download directly from Tesla.

This rollout fulfills a long-anticipated expansion that opens the service to hundreds of millions of Android smartphone users who were previously unable to access it on iOS alone.

The app delivers a streamlined, driverless ride experience powered by Tesla’s automated driving technology.

Users sign in with a Tesla Account, view the current service area map within the app, enter a destination, and receive an estimated fare and arrival time before confirming the ride. When a Model Y from the Robotaxi fleet arrives, riders confirm the license plate, enter the vehicle, fasten their seatbelt, and tap “Start Ride” on either the app or the vehicle’s touchscreen.

During the trip, passengers have access to all the same controls that iOS users do, and can adjust climate settings, seat positions, and music while tracking progress on an in-app map. The interface also allows drop-off changes or support requests if needed. After the ride, users exit, close the doors, and submit feedback.

This Android availability directly broadens the rider base for Robotaxi in its initial service areas. Unfortunately, Android users are used to being subject to delayed launches of new features available to Tesla owners.

By removing the iOS-only barrier, Tesla instantly expands the addressable market, enabling far more people to summon and use the autonomous vehicles already operating on public roads.

The move is a foundational requirement for scaling ride volume and gathering the real-world data needed to refine the unsupervised Full Self-Driving system that powers every trip.

For the Robotaxi program itself, the launch signals steady operational progress. It prepares the service for higher utilization rates as the fleet grows and supports the transition from limited early deployments to a more robust network.

Tesla expands Unsupervised Robotaxi service to two new cities

Tesla has indicated that users outside current service areas can sign up at the company’s website for future notifications, pointing to a deliberate, phased geographic rollout.

Looking ahead, the company plans to incorporate Cybercab vehicles to increase fleet capacity and efficiency while continuing to expand service territories. With the Android app now live, Tesla has removed a key adoption hurdle and positioned Robotaxi for the next phase of growth in autonomous urban transportation.

The infrastructure is now in place to support significantly larger rider demand as production and deployment accelerate.

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