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SpaceX receives first major Starship Moon lander funding from NASA
SpaceX has received its first major funding from NASA for the development of a crewed Starship Moon lander meant to return humans to the surface of Earth’s nearest neighbor as early as 2024.
Ordinarily, funding disbursement is just a routine, mundane part of government contracting. However, soon after NASA revealed that it had selected SpaceX – both the most technically sound proposal and cheapest option by half – alone to return humanity to the Moon, former competitors Dynetics and Blue Origin both filed protests complaining about the space agency’s conclusions. As a direct result, NASA was forced to freeze work on SpaceX’s brand new Human Landing System (HLS) contract and collaboration between both partners was strictly limited until both protests could be evaluated.
Technically, the US Government Accountability Office (GAO) tasked with those reviews had 100 days from the date the protests were filed (April 26th) to complete the process. On July 30th, 95 days later, GAO announced that it had firmly denied both Dynetics’ and Blue Origin’s protests. As it turns out, likely just hours after GAO released its decision, NASA sent SpaceX its first major HLS Starship milestone payment.
As part of the $2.9 billion contract SpaceX won to develop a crewed Starship lander and perform at least two major test flights of the vehicle, one uncrewed and one crewed, NASA wasted no time at all sending SpaceX its first milestone payment of $300 million. In one fell swoop, NASA has thus doubled the amount of money it’s invested to date in SpaceX’s next-generation, fully-reusable Starship launch vehicle.
Per GAO’s July 30th decision document, NASA reportedly only had ~$350 million left to fund its FY2021 HLS Option A awardee(s) – almost all of which has now been sent to SpaceX. Despite the fact that the Dynetics and Blue Origin protests all but completely prevented NASA from making progress on HLS, they didn’t prevent SpaceX from continuing work at a breakneck pace. Notably, even with that $300M payment and a ~$140M HLS requirements contract Starship received in 2020, NASA has still disbursed less HLS funding to SpaceX than Blue Origin’s National Team, which received almost $480M to develop its own lander before SpaceX was crowned.
In fact, SpaceX simply continued as if those protests and their associated obstructions didn’t exist. In early May, for the first time ever, SpaceX successfully launched a full-scale Starship prototype to 10 km (~6.2 mi) and gently landed the massive rocket in one piece. The Starship tankers SpaceX’s HLS lander missions will require will ultimately rely on the exact same exotic recovery approach – an approach that SpaceX has now unequivocally proven works.
Around the same time, SpaceX began assembling a skyscraper-sized ‘launch tower’ that will be tasked with fueling Starship and eventually catching Super Heavy boosters. A few days before GAO denied the HLS Option A protests and allowed NASA to get back to work, SpaceX stacked that launch tower to its final ~145m (~475 ft) height, completing the basic structure. Plenty of outfitting remains, including the installation of the giant arms that will hopefully one day catch and fuel Starship stages, but that work is also progressing quickly.
In the three months NASA’s HLS program has been frozen in place, SpaceX also built, proof tested, and static fired a ~69m tall (~227 ft) Super Heavy booster (B3) for the first time, more or less completed the first orbital-class Starship prototype (S20), nearly finished another full-scale Super Heavy (B4), collectively installed 35 Raptors on both vehicles in about two days, and briefly stacked Ship 20 atop Booster 4 – creating the largest, tallest rocket ever assembled.
In short, even with no guarantee that it would ever receive any of the $2.9 billion NASA awarded it, SpaceX continued Starship development at a breakneck pace and – according to Elon Musk – could technically be ready for the rocket’s first orbital launch attempt “in a few weeks.” In the background, SpaceX also almost certainly completed a great deal of paperwork and deliverables that NASA was finally able to accept and review once unshackled. Ever the optimist, despite the hurdles, CEO Elon Musk still believes that SpaceX will not only deliver its Starship Moon lander – and thus NASA astronauts to the lunar surface – on time, but “probably sooner” than the 2024 target.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
