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SpaceX installs Super Heavy booster on launch mount with giant robot arms

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SpaceX has transported the most powerful rocket booster ever assembled to its Starbase orbital launch site (OLS) and used giant robotic arms to install it.

It’s not the first such trip for Starship’s Super Heavy first stage in general, nor for this specific booster, which is known as Booster 7 or B7. Booster 7 first headed to the pad on March 31st and successfully completed two major cryogenic proof tests, but was then severely damaged during a subsequent structural stress test. After a few weeks of repairs back at the factory, B7 rolled to the pad a second time and completed a third cryoproof test and returned to the factory on May 14th, where it stayed until June 23rd.

After almost six weeks of additional work, Booster 7 rolled to the launch pad for the third time – possibly its last trip.

Even Booster 7’s first rollout wasn’t unprecedented, however. In September 2021, Booster 4 – an earlier prototype with fewer engines, less thrust, and several other differences – arrived at the launch site with 29 Raptor V1 engines installed. Over the next six months, SpaceX slowly finished the booster, conducted a handful of proof tests, and eventually performed three ‘full-stack’ tests with Starship S20. For awhile, SpaceX hoped to eventually fly B4 and S20 on Starship’s first orbital launch attempt, but that plan never came close to fruition.

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Booster 4 was particularly underwhelming and never even attempted a single static fire despite having all 29 of its engines fully installed and encased inside a shell-like heat shield. Thankfully, Booster 7 appears to have a much better chance of at least attempting one or several static fires, even if there’s no guarantee that it will make it through that test campaign in good enough condition to support Starship’s orbital launch debut.

SpaceX used the six weeks Booster 7 spent back in a factory assembly bay to finish installing aerocovers, surfaces known as chines or strakes, car-sized grid fins, Starlink internet dishes, and – most importantly – 33 upgraded Raptor V2 engines. Combined, Booster 7 should be able to produce up to 7600 metric tons (~16.8M lbf) of thrust – 41% more thrust than Booster 4 was theoretically capable of. Crucially, SpaceX also finished installing Booster 7’s Raptor heat shield in the same period, completing in six weeks work that took Booster 4 more like half a year.

That is likely because testing Booster 4, for whatever reason, just wasn’t a priority for SpaceX. Preparing Booster 7 for static fire testing, however, is clearly a front-and-center priority in 2022. With its heat shield and all 33 Raptors installed, Booster 7 will be ready to kick off static fire testing almost as soon as it’s installed on Starbase’s orbital launch mount.

B7’s 33 Raptor engines

According to CEO Elon Musk, Booster 7 will start by igniting just one or a few Raptor engines. SpaceX has never ignited more than six Raptor V1 engines simultaneously and never tested more than three engines at a time on a Super Heavy booster. That plan could have easily changed, however. Either way, Super Heavy B7 will be treading significantly new ground. Even before actual static fires begin, Booster 7 will also need to complete one or more wet dress rehearsals (WDRs), a test that exactly simulates a launch but stops just before the moment of ignition.

If SpaceX attempts a full wet dress rehearsal, in which the booster would be filled with more than 3000 tons (~6.6M lb) of liquid oxygen (LOx) and liquid methane (LCH4), it would be a first for Super Heavy and just as big of a test of the orbital launch site. Booster 7 will also need to test out its autogenous pressurization, which replaces helium with hot oxygen and methane gas to pressurize the rocket’s propellant tanks.

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(NASASpaceflight Starbase Live)

Several hours after Super Heavy B7 arrived (for the third time) at the orbital launch site, SpaceX used two giant arms attached to the pad’s launch tower to lift the ~70-meter (~230 ft) tall rocket onto the launch mount. While Musk says that the ultimate goal is to use those arms to catch Starship and Super Heavy out of mid-air, their current purpose is to take the place of the tall and unwieldy crane that would otherwise need to be used to lift either stage. The arms are an extremely complex solution but they do allow SpaceX to lift, install, and remove Starship stages remotely and insulate those processes from wind conditions, which cranes are sensitive to.

Once fully secured by the mount’s 20 hold-down clamps, the booster will be connected to ground systems and SpaceX can prepare B7 to start the next stage of preflight testing as early as Monday, June 27th.

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 says your Tesla will start to learn your individual preferences

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Credit: Tesla

Elon Musk said today on X that Teslas will start to learn your individual preferences. This is something that he seemed to hint toward earlier this month when he said parking was by far the biggest reason drivers intervene with Full Self-Driving.

Musk made the comment in response to notable Tesla influencer Whole Mars, who said that his vehicle will sometimes disobey the settings he has enabled for his car. He responded to the post, stating that “The car will start to remember your specific interventions and match each person’s individual preferences.”

This is something that could be perhaps one of the biggest ways Tesla could minimize or even work closer toward eliminating interventions altogether. While FSD does a lot of things really well, many people intervene a vast majority of the time not due to major or critical safety errors.

Instead, many take over because the car is doing something that they do not like as a preference; it might park in a parking spot that is not preferred by the driver, it might linger too long in the left lane on the highway (a personal favorite), or it could even take a route that the driver does not like.

These all lead to interventions, but they are not triggered by a major safety issue. Instead, it’s just preference.

READ OUR REVIEW OF TESLA’S LATEST FSD VERSION:

Tesla Full Self-Driving v14.3.5 Early Impressions: new features and early performance

If Teslas could start to learn the personal preferences of the person who owns them, interventions will truly begin to be less frequent. Some of this is already pretty evident, in my opinion. Teslas use a neural network to learn behaviors and accumulate data to improve performance.

For months now, we’ve tracked FSD’s performance at “Except Right Turn” stop signs, something that is very common in Pennsylvania, but many of our readers located in other parts of the U.S. have never heard of. FSD handles one Except Right Turn stop sign very well, one that I travel past frequently. Others that I do not navigate through as often do not have as confident a performance. It seems like the cars might already be doing this to an extent.

That example is also for something that is a street sign and not necessarily a driver preference; however, I still feel it is worth mentioning because it only handles that commonly passed Except Right Turn stop sign with true confidence. Others it still seems to struggle with.

This could be one of Tesla’s big moves toward full autonomy, and it could be a pathway to truly unsupervised driving. Every day, millions of cars on the road travel at a human driver’s personal preferences with no incident. Why can’t autonomous vehicles still cater to a passenger’s preferences while being autonomous? Tesla seems to have the idea that it would be possible.

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Ron DeSantis calls out media bias in Tesla crash coverage

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Credit: ABC News

Florida Governor Ron DeSantis has sharply criticized legacy media outlets for what he describes as selective and biased reporting on vehicle accidents involving Tesla. In a recent X post, DeSantis questioned why headlines routinely spotlight the Tesla brand in crash stories, even when human error is the clear cause, while similar incidents with other automakers often receive generic treatment.

A prime example is the June 19, 2026, fatal crash in Katy, Texas. A Tesla Model 3 driven by Michael Butler struck a brick home at high speed, killing 76-year-old Martha Avila inside. Initial reports and headlines prominently featured “Tesla crash” and referenced the driver’s claim that an automated driving-assistance system was engaged.

Many outlets quickly speculated that Full Self-Driving or Autopilot were the cause of the crash, immediately blaming the suites for the accident shortly after it happened.

However, Tesla responded shortly after the accident with vehicle data that showed Butler manually overrode the system by pressing the accelerator to 100 percent, reaching 73 MPH in a residential area, more than double the speed limit. The accelerator remained floored after impact.

Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration

The National Transportation Safety Board (NTSB) later confirmed these findings, and Butler now faces manslaughter charges. His phone searches also included queries like “Tesla FSD too timid,” suggesting he may have intervened aggressively. Despite this, many headlines continued to center Tesla’s technology rather than the driver’s actions.

DeSantis highlighted a Washington Post headline, which was labeled, “Newly released photo shows wreckage of Tesla crash that killed grandmother.”

The subheadline noted the driver overrode assistance and floored the accelerator, yet the brand name dominated the framing. He asked whether legacy outlets typically name the make of a car in routine crashes or reserve that treatment for Tesla to push a narrative.

This pattern appears widespread. Crashes involving Ford, Chevrolet, or Toyota vehicles frequently appear as “pickup truck slams into home” or “fatal car crash kills pedestrian” without brand specifics, especially absent new technology angles.

High-profile Ford F-150 or Chevy Silverado incidents tied to large sales volumes often escape brand-callout scrutiny. In contrast, Tesla stories consistently lead with the manufacturer, amplifying perceptions of risk despite data showing strong overall safety performance:

Tesla’s own 2025 Impact Report indicates vehicles using FSD logged 0.19 major incidents per million miles, roughly eight times fewer than the U.S. average. Models like the Model Y also rank among the safest in IIHS and NHTSA testing for occupant protection. Critics argue disproportionate coverage ignores these statistics and driver behavior factors, such as younger or more aggressive Tesla owners in some studies.

DeSantis frames this as part of a broader political agenda against innovative American companies like Tesla. By consistently naming Tesla while downplaying others, media outlets risk eroding public trust and shaping perceptions detached from the evidence of human error in most cases.

As autonomous technology evolves across the industry, consistent and factual reporting will be essential to separate real safety concerns from narrative-driven coverage.

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Tesla enters two new markets on two different continents in one week

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Tesla entered two new markets this week by advancing its presence in Latvia (Europe) and officially launching operations in Uruguay (South America), marking a rapid dual-continent expansion.

These moves underscore the company’s strategy to tap into emerging EV markets with supportive policies, renewable energy grids, and growing demand for sustainable transport.

Latvia: Strengthening the Baltic Footprint

In Latvia, Tesla has built on its earlier registration of Tesla Latvia SIA in late 2025 with recent steps toward full operations, including job postings for a service center and representation in Riga. This aligns with broader Baltic expansion following Lithuania’s model of pop-up stores and service centers.

EV penetration in Latvia stands at around 7 percent for BEVs in new passenger car registrations. 2025 data showed 1,602 BEVs out of about 22,500 total, or 7.1 percent, with combined plug-ins nearing 19 percent. Growth has been steady but below the European average, supported by government subsidies and infrastructure development. Tesla models like the Model 3 lead local EV registrations.

Vehicles for the Latvian market will likely be sourced from Gigafactory Berlin or Gigafactory Shanghai. Charging infrastructure is robust for the region as well, with over 400- 2,000 public points, with Tesla Superchargers in Riga, Jūrmala, and along Via Baltica routes offering up to 250 kW.

Uruguay: Third South American Country

Tesla teased its Uruguay arrival with “Estamos llegando,” or, “We are arriving,” on social media, followed by an official presentation scheduled for mid-July.

The company established Tesla Uruguay SAS, homologated Model 3 and Model Y (three versions each), and appointed local leadership. This makes Uruguay Tesla’s third official South American market after Chile and Colombia.

Uruguay boasts one of Latin America’s highest EV penetrations, with battery-electric vehicles exceeding 20 percent market share recently, driven by tax incentives, high fuel prices, and a nearly 95-100 percent renewable electricity grid. Hundreds of Teslas already operate via grey imports, but official sales bring warranties, service, and support.

Vehicles will be imported from Gigafactory Shanghai, enabling competitive pricing for Model 3 and Model Y. Charging plans include Supercharger development alongside existing infrastructure, leveraging the country’s green energy advantage for affordable operation.

Tesla Superchargers follow Model 3 and Model Y to South American country

Tesla’s Dual Continent Expansion

Tesla’s simultaneous push into Latvia and Uruguay demonstrates efficient scaling: prioritizing service and infrastructure first, then direct sales in high-potential niches. In Europe, it fills Baltic gaps; in Latin America, it counters Chinese dominance while leveraging renewables.

This dual move signals Tesla’s ambition to accelerate global EV adoption amid varying regional paces. By addressing local needs, like subsidies in Latvia or incentives and green grids in Uruguay, Tesla not only boosts volumes but advances its mission of sustainable energy.

For investors and consumers, it highlights resilience and opportunity in diverse markets, potentially paving the way for further growth in underserved regions. With strong fundamentals in both, these entries could yield long-term gains as EV transitions mature worldwide.

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