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SpaceX eyes multiple Starship lunar landings before first NASA Moon mission
SpaceX Director Nick Cummings says that the company could potentially attempt multiple uncrewed Starship lunar landings before the first attempt at landing NASA astronauts on the Moon.
In April 2020, NASA announced the first commercial contract recipients under its new Human Landing System (HLS) program, awarding almost $1 billion in an uneven split between Dynetics, Blue Origin’s “National Team”, and SpaceX. While an undeniable boon for Dynetics, SpaceX’s inclusion arguably came as the biggest surprise, marking NASA’s first serious investment in Starship – the company’s next-generation, fully-reusable launch vehicle.
NASA’s goal: develop one or more competing human-rated Moon landers capable of landing astronauts on the lunar surface and safely returning them to an Orion spacecraft in lunar orbit. Towards that end, the space agency awarded Blue Origin’s “National Team” (including Draper, Lockheed Martin, and Northrop Grumman) $567 million to develop a massive and complex three-stage system, using Blue Origin’s conceptual Blue Moon lander for the final descent stage. Dynetics received $253 million to build a slightly simple single-stage lander, while SpaceX received $135 million to work on a single-stage Starship-derived vehicle.
It’s never been entirely clear what returns NASA expects from its initial ~$970 million investment – no trivial sum. It’s also unclear why there is such a discrepancy between the three rewards. Regardless, as of October 2020, all three competitors have successfully passed what NASA describes as a certification baseline review (CBR), laying out explicit deliverables (“acceptance criteria and products”).*
*As a side-note, if the three contracts NASA awarded involve the same deliverables, the space agency’s first HLS awards serve as yet another reminder that SpaceX’s competitors are almost inconceivably inefficient – almost 2x cheaper than Dynetics and more than 4x cheaper than Blue Origin, Lockheed Martin, Northrop Grumman, et al.
Regardless, one thing is abundantly clear: whether or not NASA’s first phase of HLS rewards anticipated it, SpaceX is the only provider performing actual integrated tests with full-scale Starship prototypes. Since NASA’s April 30th award, SpaceX has successfully completed two hop tests with two separate full-scale Starships, powered by a single off-center Raptor engine that may already serve as a real-world demonstration for a strategy SpaceX could use to gently land Starships on the Moon.
In an intriguing change of pace, NASA says that it will ultimately downselect to two of its three prospective providers, whereas past messaging has heavily implied that more than one winner was extremely unlikely. The space agency now wants to make that decision no earlier than Spring (i.e. April) 2021 with the intention of awarding contracts for demonstration flights from both providers: one to fly in 2024 and the other in 2025.
Meanwhile, over the last several months, Dynetics and Blue Origin have made significant noise over their respective reveals of what essentially amount to toy-like mockups of their proposed Moon lander systems. Blue Origin is technically making good progress testing Blue Moon’s BE-7 engine, but that’s the full extent of known hardware in work between both the National Team and Dynetics. SpaceX, on the other hand, appears to be assembling some kind of Lunar Starship mockup out of real hardware, including an off-spec steel nose and – potentially – one of two functional, flight-proven Starship prototypes. The company has also built and tested no less than 39 full-scale Raptor engine prototypes in the last ~18 months.
Ultimately, all three providers have now confirmed that in the event of winning flight test contracts, they are explicitly planning at least one uncrewed Moon landing before attempting to deliver NASA astronauts to and from the lunar surface. If NASA manages to secure future HLS funding from Congress, the next several years are bound to be jam-packed with lunar spaceflight development and exploration.
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
