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Elon Musk talks upgrades after SpaceX Starship launches, explodes in midair

Starship SN11 is no more after exploding in midair shortly before a landing attempt. (SpaceX)

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SpaceX has completed its fourth Starship test flight in as many months, offering the latest glimpse into the often frustrating reality of a highly iterative, hardware-rich rocket development program.

Right on schedule, SpaceX Starship prototype serial number 11 (SN11) lifted off from Boca Chica, Texas at exactly 8am CDT (UTC-5) – all but completely cloaked in a thick layer of fog. While unfortunate for any unofficial observers (and possibly SpaceX’s own desire to gather video footage of a test flight), SpaceX has experience launching rockets (namely Falcon 9) in thick fog thanks to its Vandenberg Air Force Base launch site on the California coast.

As such, fog theoretically poses no fundamental threat to rockets like Starship, but SN11 still took the opportunity to explore new and exciting failure modes shortly before touchdown. CEO Elon Musk himself didn’t take long to weigh in and has even offered some details and a schedule for upgrades planned for SpaceX’s next-generation launch vehicle – upgrades hoped to alleviate whatever issues led to Starship SN11’s premature demise.

First and foremost, due to the fog, the general public saw virtually nothing throughout the launch attempt. Remote streaming cameras set up near SpaceX’s launch facilities – now, excitingly, with the company’s own permission – did manage to catch some level of detail, providing the bare minimum level of insight needed to speculate on SN11’s failed landing attempt.

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Per an official webcast and NASASpaceflight’s unofficial “Danger-Close Camera,” installed a few hundred feet from the launch site with SpaceX’s permission, Starship lifted off at exactly 8am and had a seemingly nominal ascent, reaching a familiar 10 km (6.2 mi) apogee around four minutes later. SN11 then arced over onto its belly and free-fell for ~100 seconds. Aside from a few intermittent fires burning on some of the rocket’s three Raptor engines, not an uncommon sight since SN8 first flew, nothing appeared particularly out of the ordinary.

At T+5:49, however, things rapidly went wrong. Still belly-down, Starship SN11 attempted to reignite all three of its Raptor engines to propulsively flip into a vertical landing position. After at least one seemingly successful reignition, SpaceX immediately lost onboard video and telemetry feeds. Based on NASASpaceflight’s pad-adjacent camera, a substantial explosion followed one or two seconds after that attempted ignition, ending Starship SN11’s test flight around 20 seconds earlier than any of its three late siblings.

Debris began to visibly hit the ground another 5-10 seconds after that explosion was first heard, all but guaranteeing that Starship SN11 exploded in midair. At this time, it’s impossible to know what exactly went wrong, but there are two clear possibilities. Starship SN11 could have failed to reignite two or even all three Raptor engines, triggering onboard flight termination system (FTS) explosives designed to prevent the rocket from straying beyond a safe zone of operations. More likely, Starship suffered a substantial failure during that reignition and flip attempt, triggering an almost immediate explosion that tore the rocket apart around half a kilometer (~1500 ft) above the pad and landing zone.

Shortly after, Musk said that Raptor “engine #2 had issues on ascent” that were notable but not enough to explain a violent midair failure and confirmed that whatever went wrong came “shortly after landing burn start.”

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Musk offers Starship upgrade schedule, details

Having suffered a failure a bit less than six minutes after launch, Starship SN11 – the fourth three-engine, high-altitude prototype – was ironically the farthest from a successful landing before something went wrong: one step forward, two steps back. While unfortunate, SpaceX still got some amount of data and uncovered one or several new failure modes – arguably the two of the most important primary goals of any developmental flight test program.

Further, Musk revealed that SpaceX intends to complete and roll Starship SN15 to the launch pad just “a few days” from now – certainly earlier than expected. While the SpaceX CEO didn’t go much into detail, he reaffirmed that SN15 would bring substantial upgrades, stating that “it has hundreds of design improvements across structures, avionics/software, & engine[s].”

Musk also touched on SpaceX’s near-term plans after SN15’s upgrade path, confirming that Starship prototypes from SN20 onwards will be “orbit-capable” with even more improvements. That seemingly delineates three clear ‘blocks’ of Starship prototypes, beginning with SN8 through SN11, proceeding with SN15 through SN19, and (nominally) gearing up for true orbital-class test flights with prototype SN20 and its successors. All told, SN11’s midair demise appears likely to be just a small blip in front of a jam-packed, well-structured series of Starship upgrades and flight tests just over the horizon.

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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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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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