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SpaceX, NASA finalize contract for second crewed Starship Moon landing
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.
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.
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.
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.
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
