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SpaceX, NASA targeting separate Moon launches days apart

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NASA and a SpaceX customer have announced plans to launch two unrelated Moon missions days apart next month.

On October 12th, NASA confirmed that it will roll its Space Launch System (SLS) rocket out to its Kennedy Space Center LC-39A pad for the fourth time as early as November 4th. Barring surprises, the rocket’s next launch attempt is scheduled no earlier than (NET) 12:07 am EDT (17:07 UTC), November 14th. SLS is tasked with launching an uncrewed prototype of NASA’s Orion crew capsule on its way to the Moon, where the spacecraft will attempt to enter lunar orbit and conduct tests before returning to Earth.

The same day, Japanese startup ispace confirmed that HAKUTO-R M1, its first commercial Moon lander, is scheduled to launch on a SpaceX Falcon 9 rocket sometime between November 9th and 15th. While NASA has a $73M contract with ispace to develop a second-generation SERIES-2 Moon lander in the United States, the first-generation HAKUTO-R program has been an almost entirely private endeavor. The first M1 lander will attempt to deliver two rovers – one built by Japan and the other by the United Arab Emirates – and several other commercial and government payloads to the surface of the Moon.

ispace’s first HAKUTO-R Moon lander. (ispace)
NASA’s first SLS Moon rocket. (Richard Angle)

As of 2020, HAKUTO-R is expected to weigh around 1050 kilograms (~2300 lb) at launch and has been designed to land up to 30 kilograms (~66 lb) of usable payload on the Moon. ispace has designed and built most of the lander’s structures but contracted with Europe’s ArianeGroup to provide the propulsion system and fully assemble, integrate, and test the lander in Germany.

According to ispace’s documentation [PDF], Falcon 9 will launch HAKUTO-R into a “supersynchronous” Earth orbit, where the lander will check out its systems before eventually using its own propulsion to thrust itself free of Earth’s gravity well and into the Moon’s. It expects a nominal transit from Earth orbit to the lunar surface to take at least 20 days. The lander is designed to survive up to 12 days on the Moon, during which it will attempt to operate its onboard experiments, deploy both of its tiny rovers, and transmit all the data gathered back to Earth.

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An artist’s impression of HAKUTO-R on the Moon. (ispace)

The startup initially [PDF] described its arrangements with SpaceX as contracts to launch two landers as secondary payloads on two Falcon 9 rockets. In its press releases, ispace no longer specifies whether the one-ton spacecraft will be the only payload on Falcon 9. It’s possible that HAKUTO-R M1 will be a secondary payload on SpaceX’s launch of the Eutelsat 10B geostationary communications satellite, which is currently scheduled NET November 11th. In a rare move, SpaceX will reportedly expend Falcon 9’s reusable first-stage booster during the mission, leaving much more performance on the table.

Update: Launch photographer Ben Cooper reports that Falcon 9’s reusable booster will fly back to the Florida coast to land on land after launching HAKUTO-R, strongly implying that the Moon lander will actually be the rocket’s only payload.

ispace has raised approximately $210 million since it was founded in 2010 – coincidentally the same year that the US Congress forced NASA to begin developing the SLS rocket. 12 years later, there’s a chance that the first launches of SLS and HAKUTO-R could occur hours apart.

https://twitter.com/Eutelsat_SA/status/1541820384344956930

When it rolls out next month, NASA’s SLS rocket will be heading to the launch pad for the fourth time. SLS and Orion have had a less-than-smooth journey to their first launch, suffering half a decade of delays and running tens of billions of dollars over budget as a result. Once all the pieces had arrived in Florida, it took NASA and its contractors about 12 months to finish assembling SLS and Orion and begin testing the integrated rocket.

Since integrated testing began in April 2022, SLS has undergone five publicized wet dress rehearsal (WDR) tests in April, June, and September. It also attempted to launch twice on August 29th and September 3rd, although both attempts were arguably a continuation of WDR testing in everything but name. But it appears that when the rocket rolls out for the fourth time, NASA will have finally completed nearly all of the testing it should have finished before loudly proclaiming that its “Mega Moon Rocket” was ready to launch back in August.

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The SLS launch debut will almost certainly take precedence over any other Cape Canaveral launch around the same time, including HAKUTO-R M1, but SpaceX could potentially launch the Moon lander roughly one day before or after NASA’s Moon rocket.

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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