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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.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
