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SpaceX, NASA finalize contract for second crewed Starship Moon landing

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Around eight months after announcing its intention to do so, NASA has awarded SpaceX a contract for a second crewed Starship Moon landing as early as 2027.

Known as Option B, NASA has exercised a baked-in right to modify its Human Landing System (HLS) Option A contract with SpaceX – signed in April 2021 – to extract even more value from investments into the program. In addition to an uncrewed Starship Moon landing planned no earlier than (NET) 2024 and a crewed demonstration that could land two NASA astronauts on the Moon as early as 2025, NASA’s contract modification gives SpaceX the approval and resources it needs to prepare for a second crewed Starship Moon landing.

On top of securing NASA’s Artemis IV mission astronauts a ride to the lunar surface, the Option B contract will also allow SpaceX and NASA to pursue and demonstrate upgrades that will make Starship an even more capable and cost-effective Moon lander.

Update: NASA says that the Option B modification will cost $1.15 billion, raising the maximum value of SpaceX’s HLS contract to approximately $4.2 billion.

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When NASA first announced its intention to add a second crewed Moon landing to SpaceX’s existing HLS contract, the agency couldn’t offer specific information about when that landing might occur or which Artemis mission it would be attached to. Part of the reason for that uncertainty was another announcement two months prior that NASA no longer expected a Moon landing to be paired with its Artemis IV (4) mission. And five days after a March 2022 announcement of plans for a second crewed Starship Moon landing, NASA seemingly reaffirmed that there would be a multi-year gap between Starship’s first crewed Moon landing (NET 2025; tied to Artemis III) and NASA’s second crewed Moon landing, which would use an unspecified lander.

But as of November 2022, NASA has thankfully abandoned plans to intentionally allow a gap between Moon landings. SpaceX’s Starship is now on contract to support back-to-back crewed Moon landings NET 2025 and 2027 as part of NASA’s Artemis III and Artemis IV missions. It’s unclear how or why NASA was able to make that change, but it’s a definite improvement over the alternative.

SpaceX’s three main Human Landing System Starship variants.

Additionally, NASA will work with SpaceX to debut new capabilities and improvements on Starship’s second crewed Moon landing. While the Artemis III landing will be about as barebones as possible, the Artemis IV Starship will be upgraded with the ability to transport more NASA astronauts (four instead of just two) and more cargo to the lunar surface. It’s not entirely clear, but NASA reportedly wants to land just ~180 kilograms (~400 lb) of cargo with the first crewed Starship, a vehicle likely capable of landing dozens of tons of cargo in addition to several astronauts. NASA hopes that future “sustainable” lander missions, a category that Starship’s Option B landing may or may not fall under, will transport up to one ton (~2200 lb) of cargo to and from the lunar surface.

Finally, the Artemis IV Starship will also be able to dock with NASA’s Lunar Gateway. Gateway is a small deep space station that will be located in a strange, high lunar orbit. It exists almost exclusively to give NASA’s Space Launch System (SLS) rocket and Orion crew capsule a destination they can both reach. The Orion capsule is almost twice as heavy as its Apollo counterpart and its European Service Module (ESM) offers less than half the performance of NASA’s retired Apollo Service Module. Combined, Orion is physically incapable of transporting itself (or astronauts) to the simpler low lunar orbits used by the Apollo Program.

Instead, NASA’s new Moon lander(s) have to pick up Orion’s slack. Starship will be responsible for picking up astronauts in a lunar near-rectilinear halo orbit (NRHO), transporting them to low lunar orbit, and returning them to NRHO in addition to landing on the Moon, spending a week on the surface, and launching back into lunar orbit.

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Until it’s modestly upgraded in the late 2020s or 2030s, Gateway will be equally underwhelming. In fact, that’s part of the reason that Starship docking with the Gateway is in any way significant. SpaceX and NASA have decades of expertise docking and berthing spacecraft with space stations. But those spacecraft are typically smaller and lighter than the stations they were joining. Even after the Gateway is fully outfitted with a range of international modules, Starship will likely weigh several times more than the tiny station, making docking even more challenging than it already is.

Starship’s Moon lander variant could also have a cabin with hundreds of cubic meters of habitable space, while the Gateway is unlikely to ever have more than a few dozen. Having a Starship docked would thus immediately make the ultra-cramped station far more livable.

NASA says Artemis IV and the second crew Starship Moon landing will occur as early as 2027. But a ‘space prophet’ who predicted in 2017 that NASA’s SLS launch debut would slip from 2019 to “around 2023” and forecasted that SpaceX alone would win NASA’s Moon lander contract recently told Ars Technica’s Eric Berger that Artemis III, the mission before Artemis IV, is unlikely to launch before 2028. At the time, that source’s predictions verged on blasphemy, but they’ve ultimately proven to be eerily accurate. Only time will tell if their third ‘prophecy’ follows the same path.

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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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Tesla intertwines FSD with in-house Insurance for attractive incentive

Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.

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tesla interior operating on full self driving
Credit: TESLARATI

Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.

Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.

The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.

The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.

Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.

The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.

Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.

For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.

Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.

The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.

Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.

Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.

Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.

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Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability

The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.

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Credit: Elon Musk | X

Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.

But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”

He said that AI4 is enough to do that.

Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.

Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.

Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.

The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.

Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.

But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.

On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).

Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.

Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.

Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.

Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.

In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.

The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.

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Elon Musk signals expansion of Tesla’s unique side business

Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.

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tesla diner
Credit: Tesla

Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.

Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.

Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.

He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.

Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.

The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.

The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.

Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.

The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.

Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.

If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.

Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.

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