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NASA asks SpaceX to decide the fate of ‘Dragon XL’ lunar cargo spacecraft
In a new Request For Information (RFI) quietly released by NASA on April Fools’ Day, the space agency appears to have indirectly asked SpaceX to determine the fate of its ‘Dragon XL’ lunar cargo spacecraft.
In March 2020, NASA announced that it had selected SpaceX to deliver the bulk of pressurized and unpressurized cargo it would need to crewed and operate a proposed “Gateway” lunar space station for the first several years of its existence. To accomplish that task, SpaceX would develop a heavily-modified single-use version of its Dragon 2 spacecraft with more propellant storage, more space for cargo, and a range of other design changes.
Known as Dragon XL, that spacecraft would weigh around 15 to 16 tons (~33,000-35,000 lb) at liftoff and likely require a fully or partially expendable Falcon Heavy launch for each mission to the Moon. At the time, it was a fairly balanced and reasonable choice on NASA’s part, leveraging existing investments and experience with SpaceX and Dragon and erecting no major technical hurdles. However, more than two years later, NASA still hasn’t started work on the contract.
That’s why the new April 1st RFI is so intriguing. NASA begins by referencing fine print in the original 2018 Gateway Logistics Services (GLS) Request For Proposals (RFP) that allows the agency to continue receiving and considering new proposals from new and existing providers throughout the program’s planned 17-year lifespan. The agency says its primary motivations are for “information and planning purposes, to request feedback, to promote competition,” and to “[determine] whether to conduct an on-ramp in 2022.” NASA doesn’t specify what exactly that means, but in the context of the rest of the text, it appears that the agency wants to use this RFI to help determine whether or not to finally “on-ramp” its existing Dragon XL contract with SpaceX.
However, the document gets far more interesting and suggestive. Later, NASA spells out what exactly it wants respondents to discuss. In a list of eight main questions, the agency repeatedly hints at a desire to substantially expand the scope of GLS. In question #8, NASA asks if, to help “create a vibrant supply chain in deep space,” respondents would be able to deliver additional cargo to “cislunar orbits [and] the lunar surface” or offer a “dedicated delivery tug capability” or “rapid response delivery service.”
NASA also asks for information on ways prospective GLS providers could “[minimize] the cost impact of…requirement changes,” “reduce operating costs,” and “minimize upfront costs.” In questions #2 and #3, NASA requests details about “new and/or innovative capabilities” that could “significantly increase…cargo delivery capacity” within “the next five years” and states that “offerors exceeding the minimum [cargo] capabilities may be viewed more favorably.”
NASA seems very interested in the potential benefits of alternative deep space cargo transport services that are both cheaper and more capable than Dragon XL. Between the lines, however, the RFI also reads as if it was written directly to SpaceX. The first question is perhaps the most telling: “Is your company interested in on-ramping to the GLS contract to provide Logistics Services as described in the original solicitation?”
SpaceX is the only company with an existing GLS contract that it could “on-ramp to” – a roundabout way to say “start work on”. In the following questions, NASA then repeatedly expresses interest in cargo transport capabilities well beyond the original contract’s requirements and asks about innovative new capabilities that could enable such improvements. NASA even “recognizes” and hints at a willingness to consider unorthodox solutions that, for example, might require “more than one launch” per cargo delivery or help “minimize upfront costs to the Government.” Put simply, while it does open the door for just about any US company to inform NASA about new GLS options, it’s hard not to conclude that this new RFI is at least partially designed to give SpaceX an opportunity to propose Dragon XL alternatives or upgrades.
The most obvious option: Starship. Through the Human Landing System (HLS) program, NASA has already committed to investing at least $3 billion to develop a crewed Starship Moon lander and the fully-reusable launch vehicle and refueling infrastructure required to launch and operate it. With barely any modification, the Starship architecture SpaceX and NASA are already developing could be used to deliver dozens of tons of pressurized cargo to cislunar space, lunar orbit, the Gateway, the lunar surface, or just about anywhere else NASA wants. Leveraging that significant investment would also tick almost every box in NASA’s new RFI by drastically reducing upfront and total development costs, helping to stimulate a “vibrant” deep space supply chain, and beating Dragon XL’s cargo capabilities by a factor of 5, 10, or even 20+.
Of course, there are technical challenges and reasons to believe that Starship can’t easily replace Dragon XL. Even Dragon XL risked running into Gateway’s visiting vehicle mass limit of just 14 tons. Starship would likely weigh at least 100-200 tons – more than the entire Gateway. Dragon XL would use non-cryogenic propellant and is baselined to spend at least 6-12 months at a time at the Gateway. NASA has also studied the possibility of using Dragon XL as a crew cabin or bathroom to temporarily relieve Gateway’s extremely cramped habitable volume. Starship’s main engines use cryogenic propellant that wants nothing more than to warm up and boil into gas, making it far harder to keep at the station for months at a time. Those problems are likely solvable, but it’s still worth noting that Starship is not a perfect fit right out of the box.
The RFI could also end with a whimper if SpaceX simply tells NASA that it’s happy to proceed with Dragon XL as proposed. Only time will tell. NASA is planning to hold an industry day on April 20th to better explain the RFI’s goals and wants responses by May 31st, 2022, after which the agency will decide whether or not to follow up with a solicitation or on-ramp Dragon XL.
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
