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SpaceX making good progress towards Super Heavy static fire campaign
SpaceX appears to be making great progress towards the start of its first full Super Heavy static fire campaign, building upon extensive Starship testing and a single booster static fire completed in July 2021.
On May 14th, upgraded Super Heavy booster B7 was moved back to SpaceX’s South Texas Starbase Starship factory after completing a successful round of tests and smoothing out an otherwise rocky start to its life. It was not the booster’s first time on that journey: after first leaving the Starbase ‘nest’ on March 31st, Booster 7 suffered significant internal damage during a structural stress test on April 14th and was forced to return to the factory for repairs. Impressively, despite the cramped environment and extremely limited access to the interior of the Super Heavy’s primary and secondary propellant tanks, SpaceX engineers and technicians somehow completed those repairs and Booster 7 sailed through a new round of ‘cryoproof’ testing on May 9th and 11th.
In the ~20 days since its second return, SpaceX teams have been hard at work preparing Super Heavy B7 for its next major challenges – the results of which could determine whether the massive rocket helps launch a Starship into space later this year.
That goal, same as it has been for half a year, is to qualify the first Super Heavy booster for flight. To do so, SpaceX must – at long last – static fire a Super Heavy with all necessary Raptor engines installed. For Booster 7 and its near-term successors, that means 33 new “Raptor 2” engines capable of generating a total of ~7600 metric tons (~16.7M lbf) of thrust.
That’s exactly what SpaceX workers have been focused on doing since Booster 7’s second return to a Starbase assembly bay. Bit by bit, they have spent every day since installing Raptor 2 engines one at a time. Unfortunately, due to the Super Heavy’s relocation inside a brand new assembly building known as the Megabay, High Bay 2, or Wide Bay, the half-dozen or so unaffiliated photographers who have come to regularly photograph Starbase have yet to find an angle that shows the state of that engine installation progress.
Two weeks later, it’s clear that SpaceX is taking its time, which likely also implies that the company is simultaneously encasing Booster 7’s Raptors and engine section in shrouds that will protect them during static fire testing; as well as during launch, reentry, and landing if B7 makes it that far. That’s not guaranteed, however, and it could also simply be that installing 33 engines on the first attempt at installing any Raptor 2s on any rocket has proven much harder than expected.
On June 1st, CEO Elon Musk appeared to confirm that engines are still being installed on Super Heavy B7, but he also verified that “all Raptor 2 engines needed for [the] first orbital flight are complete.” That could include Starship S24, which needs three sea-level Raptor 2s and three vacuum-optimized Raptor 2s, but it’s still great news even if he only means it for Booster 7. SpaceX has been spotted delivering at least a handful of new Raptor 2 engines a week for the last month or two, which means that all 33 engines may already be onsite at Starbase. If some are still undergoing proof testing at SpaceX’s McGregor, Texas facilities, it could be a few more weeks before all necessary engines are onsite, but that milestone is likely close at hand if it hasn’t already been reached.
For Super Heavy Booster 4, which was inexplicably never static-fired, installation of all 29 of its Raptor 1 engines took just a few days, but the installation of a heat shield around those engines took at least a few weeks. On June 1st, SpaceX also began installing grid fins on Super Heavy B7, further indicating the company’s growing confidence in the booster.
Outside of booster outfitting, SpaceX has also been aggressively refilling the Starbase orbital launch site’s (OLS) massive tank farm, which is capable of storing, subcooling, and distributing thousands of tons of liquid oxygen (LOx), liquid methane (LCH4), liquid nitrogen (LN2), and a variety of gases. For a full wet dress rehearsal (WDR), which has also never been done with Super Heavy, SpaceX would need to fill the booster with around 3400 tons (7.5M lb) of propellant. Out of an abundance of caution, Super Heavy B7 will likely have far less propellant aboard during almost all of its static fire tests, but a full static fire with a full load of propellant – simulating most prelaunch conditions – will likely be one of the last main goals of any static fire campaign. At full thrust, 33 Raptor 2 engines will likely burn around 25 tons (~55,000 lb) of propellant per second, so a huge amount of propellant will be needed regardless.
In the same series of June 1st tweets, Musk also confirmed that SpaceX intends to proceed cautiously into its first true Super Heavy static fire campaign, testing engines “just one at a time at first.” Musk probably isn’t being literal, as a campaign in which Booster 7 tested every one of its 33 Raptors individually could easily take weeks, so it’s likely safe to interpret his words to mean that SpaceX is not going to leap straight from the first limited test of one or a few engines to all 13 center engines, all 20 outer ‘boost’ engines, or all 33 engines at once.
Almost three weeks into the process of engine and heat shield installation, Booster 7 could potentially be ready to return to the orbital launch site any day now, though there’s probably an equal chance that it’s still a few weeks away. Nonetheless, SpaceX is on the cusp of kicking off one of the most exciting and important test campaigns in the history of Starship.
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.”
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
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.
🚨 Tesla Full Self-Driving v14.3 proceeds through an Except Right Turn Stop Sign pic.twitter.com/YemRSlens7
— TESLARATI (@Teslarati) April 8, 2026
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.
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.”
Do legacy media outlets typically use headlines involving the make of a car in a crash or is that only for Tesla?
It would be one thing if the self-driving malfunctioned but the crash was purely human-induced.
Seems like these outlets want to associate Tesla with crashes as… pic.twitter.com/EmfyeYiuv6
— Ron DeSantis (@RonDeSantis) July 17, 2026
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:
🚨 Why do Tesla Owners get so defensive over the narrative of crashes involving Teslas? https://t.co/aX7ogtjTCR pic.twitter.com/KO4QWaLOKl
— TESLARATI (@Teslarati) June 24, 2026
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.
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.
Coming to Latvia https://t.co/XNkQQJ2O6a pic.twitter.com/yS9kpcNky1
— Tesla Europe, Middle East & Africa (@teslaeurope) July 17, 2026
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.
Hola Uruguay 🇺🇾
Nuestros Model 3 y Model Y están cada vez mas cerca! pic.twitter.com/FR41fsA7um
— Tesla Latinoamérica (@Tesla_LatAm) June 30, 2026
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.
Elon Musk says your Tesla will start to learn your individual preferences
Ron DeSantis calls out media bias in Tesla crash coverage
