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SpaceX Dragon XL could double as a crew cabin for lunar space station
A recent modification to SpaceX’s Dragon XL lunar cargo resupply contract with NASA suggests that the spacecraft could be used as an extra crew cabin and bathroom at a lunar space station known as Gateway.
The contract modification was made around April 1st of this year and provided SpaceX around $121,000 to complete the latest study on the potential utility of its expendable Dragon XL spacecraft beyond the primary goal of resupplying a space station orbiting the Moon. Designed to deliver at least five metric tons (~11,000 lb) of pressurized and unpressurized cargo to Gateway, Dragon XL will launch on SpaceX’s own Falcon Heavy rocket – currently the only super heavy-lift launch vehicle in operation – and meant to heavily borrow from hardware and systems already developed for Crew and Cargo Dragon.
NASA first announced its selection of SpaceX for the Gateway Logistics Services (GLS) contract back in March 2020. More than a year later, very little has been said (or visibly done) to progress from that announcement to a true contract – an unusually long period of inactivity for such a significant program.
Of note, as recently as April 2021, NASA officials made it clear that they were still in the cryptic process of “reviewing” the Artemis program, leading to such a long delay between the GLS award announcement and finalization of an actual contract with SpaceX. Of note, back when it was announced, NASA’s nominal plan was to begin Dragon XL cargo deliveries as early as 2024 to support the Artemis Program’s first crewed Moon landing attempt.
Since then, however, other crucial aspects – namely the concept of operations and Human Lander System (HLS) meant to carry astronauts to and from the Moon – have evolved significantly. Weeks after NASA’s GLS announcement, the space agency awarded approximately $1 billion to three prospective HLS providers – SpaceX, Dynetics, and a team led by Blue Origin. A little over a year later, NASA announced a shocking decision to award that initial HLS Moon landing demonstration contract to SpaceX and SpaceX alone.
More or less simultaneously, NASA it made it clear that it was seriously studying the possibility of performing Artemis-3 – the first crewed Moon landing attempt in half a century – without Gateway. Along those lines, the SLS-launched Orion spacecraft and HLS lander (a custom variant of SpaceX’s Starship) would dock directly in lunar orbit instead of separately docking to Gateway to transfer crew. NASA’s decision to solely select Starship as its future Moon lander was so surprising in large part because of how starkly the vehicle’s potential capabilities contrast with the rest of the Artemis Program.
As many have already noted, the very existence of a Starship with capabilities close to what SpaceX is working towards – now a practical inevitability for the company to complete its HLS contract – brings into question the architecture NASA has proposed for Artemis. Currently, the nominal plan is to launch astronauts into an exotic high lunar orbit with NASA’s own SLS rocket and Orion spacecraft – an inconvenient orbit only needed to make up for said spacecraft’s shortcomings. Prior to recent developments, Orion would then dock with Gateway. The HLS vehicle would follow and crew would eventually transfer to the lander, which would then carry 2+ astronauts to and from the surface of the Moon and re-dock with Gateway, followed by Orion returning those astronauts to Earth.
Given that Starship offers enough pressurized volume to rival even the vast International Space Station (ISS) in a single launch, the entire concept of Gateway – an almost inhumanely tiny space station – becomes dubious. If Orion also doesn’t need Gateway to transfer its astronauts to the lander, which NASA has all but confirmed, it’s difficult to see what value Gateway could offer outside of a very expensive technology demonstration. Including a planned Falcon Heavy launch of the first two Gateway segments, station production, and the possible need for expensive Dragon XL cargo deliveries, Gateway could easily end up costing NASA $4-5 billion before it hosts a single astronaut.
NASA is already deeply concerned about the apparent likelihood of Congress systematically underfunding the HLS and Artemis programs outside of SLS and Orion, going as far as selecting just a single HLS provider after clearly indicating a desire for redundancy given enough funding. NASA’s HLS contract with SpaceX is expected to cost around $2.9 billion. The next cheapest option – Blue Origin’s proposal – would reportedly cost around $6 billion. In other words, if NASA were able to stop work and Gateway and redirect that funding elsewhere, it could almost already afford two HLS providers without a larger budget.
Given that NASA has selected SpaceX for HLS and GLS, it’s not impossible to imagine that the space agency is growing increasingly aware that Gateway and Dragon XL look more than a little redundant beside the Starship vehicle NASA itself is now funding SpaceX to realize. For now, though, work on all three programs continue. Most recently, NASA and SpaceX are studying the possibility of adding a toilet and using Dragon XL as an extra crew cabin and bathroom to augment the tiny habitable volume of Gateway’s lone habitat. Only time will tell where the cards ultimately fall.
News
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.
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.
Elon Musk
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.
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.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
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.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
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.
Elon Musk
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.
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.
Sure
— Elon Musk (@elonmusk) April 15, 2026
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.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
