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SpaceX launches Japanese lander, NASA cubesat to the Moon

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A SpaceX Falcon 9 rocket has successfully launched a privately-developed Japanese Moon lander and a NASA Jet Propulsion Laboratory cubesat on their way to lunar orbit.

Following five back-to-back delays that pushed the launch from November to mid-December, Falcon 9 lifted off with Japanese startup ispace’s first HAKUTO-R Moon lander on December 11th, kicking off a multi-month journey that will take the spacecraft more than 700,000 miles (1.1M km) away from Earth. It’s not the first time SpaceX has launched a mostly commercial Moon lander, and it won’t be the last. SpaceX’s first Moon lander launch happened in February 2019, when Falcon 9 launched Israeli company SpaceIL’s Beresheet Moon lander as a rideshare payload on Indonesia’s PSN-6 geostationary communications satellite. Beresheet failed just a minute or two before touchdown, but the attempt was still a historic step for commercial spaceflight.

Just shy of three years later, SpaceX has launched another private Moon lander. Unlike Beresheet, which made its way to the Moon from geostationary transfer orbit (GTO), HAKUTO-R was Falcon 9’s main payload, allowing the rocket to launch it directly into deep space. A Jet Propulsion Laboratory (JPL) cubesat that missed a long-planned ride on NASA’s first Space Launch System (SLS) rocket also joined the Moon lander as a Falcon 9 rideshare payload.

Approximately four months from now, both spacecraft will reach the end of similar low-energy ballistic transfer trajectories, at which point they will have limited opportunities to enter lunar orbit and continue their missions. Reaching that checkpoint will require several successful orbital correction maneuvers and enough longevity to survive months in deep space, unprotected by Earth’s magnetic fields.

If they make it that far, HAKUTO-R will conduct several more burns to reach low lunar orbit (LLO), where ispace will verify the spacecraft’s health and eventually attempt a soft landing on the Moon. A privately-developed spacecraft has never landed on an extraterrestrial body, so the prestige at stake is about as high as it can get. If JPL’s Lunar Flashlight spacecraft [PDF] survives its journey, it will enter a near-rectilinear halo orbit around a point of gravitational equilibrium (Lagrange point) between the Earth and Moon. Once on station, it will spend most of its time 9000 kilometers (~5600 mi) away from the Moon but occasionally fly within 15 kilometers (~9 mi) of the surface. Under JPL’s nominal mission plan, Lunar Flashlight will complete at least ten week-long orbits and use an infrared laser instrument to search for water ice in permanently-shadowed Moon craters during each close approach.

(JPL)
Lunar Flashlight is about the size of a briefcase. HAKUTO-R is much larger. (ispace)

Without context, both missions seem to complement each other well, and it’s not hard to imagine an alternative scenario where a cubesat like Lunar Flashlight was intentionally included to prospect for ice that a lander could then target. But the JPL cubesat’s presence on ispace’s HAKUTO-R was purely by accident. Because of certain design decisions made by NASA’s Space Launch System (SLS) rocket and Orion spacecraft contractors, the giant rocket is intended to launch cubesat rideshare payloads to the Moon, but those satellites are barely accessible for the entire time the rocket is configured for its unprecedentedly slow launch campaigns.

As a result, even though SLS lifted off for the first time in November 2022, its cubesat payloads had to be ready for launch and installed on the rocket in October 2021. Out of 14 planned payloads, four – including Lunar Flashlight – weren’t ready in time, forcing them to find other ways to deep space. Ironically, that may have been an unexpected blessing, as the ten payloads that did make the deadline wound up sitting inside SLS for 13 months, much of which was spent at the launch pad. Half of those satellites appear to have partially or completely failed shortly after launch.

Because of the extremely circuitous path the NASA rocket ultimately took to reach launch readiness, JPL was able to find a new ride to the Moon and launch less than one month after SLS and its co-passengers. Unlike those copassengers, Lunar Flashlight likely spent just a few weeks installed on Falcon 9 before launching to the Moon. Additionally, the SLS launch trajectory took it more or less directly to the Moon, giving its rideshare payloads just a handful of days to troubleshoot any problems discovered. Thanks to the slower, more efficient transfer orbit SpaceX used to launch HAKUTO-R, JPL should still have opportunities to enter a nominal orbit even if Lunar Flashlight requires weeks of in-space troubleshooting – far more margin for error than most SLS copassengers received.

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Lunar Flashlight weighs about 14 kilograms (~31 lb) at liftoff, features two sets of solar arrays, and packs a first-of-its-kind chemical propulsion system designed to deliver up to 290 m/s of delta-V – a ton of performance for such a small satellite. HAKUTO-R weighs closer to 1.1 tons (~2400 lb) and is a far more capable spacecraft, in theory – a necessity to land softly on the Moon. At ispace’s request, Falcon 9’s low-energy ballistic transfer orbit reduced the lander’s performance requirements, but it will need roughly 2000-2500 m/s of delta-V to enter lunar orbit and land on the lunar surface.

On December 12th, ispace confirmed that HAKUTO-R is in excellent shape around 24 hours after liftoff. ispace says the lander has secured stable communications, a stable orientation in space, and positive power generation from its solar arrays. An ispace infographic indicates that the spacecraft will enter lunar orbit around mid-April if all goes to plan. With HAKUTO-R in a stable state, the next most important near-term milestone will be the successful use of its propulsion and navigation systems. The startup hopes to demonstrate smooth deep space operations, including routine trajectory correction maneuvers, within one month of launch.

HAKUTO-R was SpaceX’s 56th successful launch of 2022 and the company’s second direct Moon launch this year after sending South Korea’s KPLO orbiter to the Moon in August.

(Richard Angle)
(Richard Angle)
Falcon 9 produced a beautiful artificial nebula as the plumes of its booster and upper stage interacted above Earth’s atmosphere. (Richard Angle)

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 FSD takes owner on a 20,000+ mile joy ride

Tesla owner David Moss just pushed his intervention free FSD streak past 20,000 miles total.

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Tesla FSD 14.3 [Credit: TESLARATI)

Tesla Model 3 owner David Moss has spent the better part of eight months turning his vehicle into a rolling stress test for Full Self-Driving, and this week he pushed his single, continuous FSD streak past 20,000 miles without a human intervening.

Moss, a Tacoma, Washington resident who sells LiDAR scanning equipment for a living, first drew wide attention in December 2025 when he logged 10,000 consecutive miles on FSD v14.2. Days later he drove from the Tesla Diner in Los Angeles to Myrtle Beach, South Carolina, covering 2,732 miles in two days and 20 hours with zero disengagements, the first verified coast to coast autonomous drive in Tesla’s history. Tesla even featured the trip as an official customer story in March. That original streak eventually reached 12,961 miles across 30 states before ending in rural Wisconsin in January, when snow and single digit temperatures forced Moss to take over.

Tesla FSD successfully completes full coast-to-coast drive with zero interventions

He started over, and this run has gone further. In late May, Moss drove 3,760 miles across Canada with two companions, from Horseshoe Bay in Vancouver to a Tesla showroom in Halifax, again without a single intervention, a trip Tesla AI software VP Ashok Elluswamy publicly congratulated him for on X. In June, he pushed the same unbroken streak south, aiming to link the Canadian border to the Mexican border, and crossed 10,000 miles on Tesla’s newly added in car streak counter along the way, the first driver to do so since Tesla began showing confetti animations for the feature.


It’s worth noting that every mile is logged through the FSD Database, a community run tracker built by Tesla influencer Omar Qazi, well known as @WholeMars on X, that pulls telemetry straight from the car and records disengagements down to a tenth of a mile. That verification is what separates Moss’s numbers from casual claims on social media.

The streak itself is a fairly recent addition to Tesla’s software. FSD v14.2 introduced a Self Driving Stats panel tracking the ratio of autonomous to manual miles, and v14.3.4 added the live streak counter in June, which resets the moment a driver brakes, wrenches the wheel or cancels navigation. Reaching 20,000 miles on that counter means a single Tesla drove itself through countless highways, city grids, construction zones and Supercharger stalls without a single reset.

Moss has said the goal was never to set a record for its own sake, but to show, mile by verified mile, what the software can already do.

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Elon Musk explains what happens when AI outsmarts all of us

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Elon Musk told The Economist that artificial intelligence will likely surpass the combined intelligence of every human on Earth within about five years, and that humans may not remain in charge once that happens. In a wide-ranging interview with editor-in-chief Zanny Minton Beddoes, recorded at Giga Texas for the outlet’s Insider series, Musk compared the widening gap between AI and human intelligence to the gap between humans and chimpanzees.

“It’s hard to imagine that the chimpanzee would be in charge,” he said, addressing what happens to human authority once AI moves far beyond us.

Elon Musk reiterates his most optimistic prediction yet with “UHI” forecast

Musk’s timeline stretches out from there. Five years for AI to out-think humanity combined, ten years before humans lose meaningful control, and by 2036, he says, money itself may stop mattering.

Musk notes that if robots and AI produce more goods and services than people could ever consume, currency loses its purpose. He told Beddoes that governments could respond with direct payments, what he called “universal high income,” a term he first used in an X post last August describing a future where “everyone will have the best medical care, food, home, transport and everything else.”

He also floated a more surprising prediction that deflation, and not inflation, would become the bigger economic problem, since expanding the supply of goods and services faster than the money supply grows would push prices down rather than up.

None of this is new territory for Musk, who has spent years describing an “age of abundance” built on Optimus and autonomous vehicles. What’s notable is the timing. The interview landed the same week Tesla shares dropped roughly 19 percent following a second quarter earnings report that beat on revenue but missed badly on profit, and as SpaceX stock continues to slide from its post-IPO peak.

Musk’s own net worth has fallen close to $700 billion since mid-June, according to the Bloomberg Billionaires Index, even as he describes a future where personal wealth stops being the point.
Musk did not dodge the risk side of the equation either. He put the odds of AI contributing to human extinction somewhere in the 10 to 20 percent range, then arrived at what he called his “philosophical conclusion” since the technology cannot realistically be stopped and the arguably better response is to keep building it and hope the outcome leans toward abundance rather than catastrophe. “I’ve gone from exhilaration to terror regarding AI,” he told Beddoes, “even intraday.”

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Tesla adds new ‘Traction Control Modes’ for better handling in any conditions

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Credit: Tesla

Tesla is adding a new “Traction Control Modes” feature to its cars for better handling in any conditions. These features will roll out to the Model 3 and Model Y, the two vehicles in Tesla’s lineup that typically do not have drive modes for various conditions.

Tesla did include this in the Model S and Model X, as well as the Cybertruck.

The new feature will roll out with the 2026 Summer Update, which Tesla announced last week and subsequently started rolling out to some owners today. The Summer Update is the latest iteration of the usual four seasonal releases the company rolls out throughout the year. These releases typically feature some owner-requested features, as well as improvements to things like the Full Self-Driving suite.

Tesla reveals 2026 Summer Update with crazy fixes to Nav and more

This release is no different. Among the changes are improvements to Navigation, new customization options with wraps and how they can be shared and stored, more functionality with the Tesla smartphone app, and new gamification with self-driving.

However, Tesla announced today that it was adding another feature to the Summer Update. Traction Control Modes will now be available with the release

Tesla describes them:

“Choose from three updated Traction Control Modes: Auto for normal driving conditions, Slippery Surface for icy or wet roads, Stuck Assist when stuck in snow, mud, or sand. The mode resets to Auto at the start of each drive. To select, go to Controls > Dynamics > Traction Control Mode.”

The use of these modes will help improve a Tesla’s overall performance in less-than-ideal conditions. Typically, these traction control modes monitor wheel speed through sensors and track engine power to adjust responsiveness in various conditions.

These drive modes are not an ultimate solution to all driving conditions; just because there is a “Stuck Assist,” doesn’t mean your Tesla will dig itself out of a foot-and-a-half trench during a blizzard. It is important to remember that some of these scenarios also require some assistance from the driver. For example, driving in sand requires tires to be aired down significantly to increase traction and control.

However, this will be a welcome addition for those who use the Full Self-Driving suite and might not be convinced of its performance in adverse conditions. Some of us prefer to be in control in rain, snow, or ice, which is totally understandable. However, adjusting the Traction Control Mode while utilizing FSD in snow, rain, or ice could increase confidence and overall experience.

Tesla’s Summer Update is already rolling out to some owners, so it should be making its way to most of the fleet over the next several weeks. The Spring Update rolled out at a very conservative pace, so if you don’t have it by the end of August, don’t be too upset. It might just be Tesla’s method.

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