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SpaceX Starship to land NASA astronauts on the Moon
SpaceX has won part of a new $1 billion NASA contract to create a custom version of Starship designed explicitly to send space agency astronauts and huge amounts of cargo to the Moon.
Incredibly, SpaceX won its Lunar Starship development contract alongside two others awarded by NASA – one to a Blue Origin-led coalition and the other to Dynetics and “more than 25 subcontractors”. Of the three, only SpaceX’s offering is a single-stage lunar lander, while Dynetics wants to build a two-stage lander and Blue Origin wants to build a three-stage lander. It also appears that SpaceX’s custom Starship is the only lander designed to be at least partially reusable, capable of flying “many times between the surface of the Moon and lunar orbit” according to the launch company.
While potentially very exciting, the fate of NASA’s triple-threat Moon lander contract award now rests almost entirely in the hands of Congress. As of today, NASA has committed almost $970 million to the three lunar landers it’s decided to develop, only part of which the space agency appears to have on hand and ready for dispersal. For the program to even begin to approach actual missions to the Moon, let alone astronaut landings, Congress will have to consistently raise NASA’s budget every year for at least the next five to six.
Even insofar as that required budget raise (roughly ~$3B per year) is only a 10-15% increase and is effectively a rounding error relative to the rest of the federal budget, military in particular, the odds that Congress will consistently and fully support it are not great. For example, the Commercial Crew Program (CCP) – set to attempt its inaugural astronaut launch next month – began in 2010 with the expectation it would cost around $7-8 billion and achieve its first crewed launch in 2015 or 2016.
From 2010 to 2015, Congress systematically underfunded the Commercial Crew Program for largely parochial reasons, preferring to put money into projects (typically the Space Launch System rocket, Orion spacecraft, and their launch facilities) that directly benefited their districts or states. Over half a decade, Congress supplied only 60% of the funds CCP had budgeted, a lack of resources that likely directly resulted in years of program delays. Notably, while both Boeing and SpaceX have run into significant technical hurdles and suffered their own technical delays, the companies would have almost certainly been able to discover those hurdles earlier on if they’d had the full CCP budget supporting them.
It’s entirely unclear whether NASA’s new Artemis Moon lander program will have a better or worse time than the Commercial Crew Program. The same parochial SLS/Orion/ground systems interests remain in full force in the US House and Senate and will likely not be pleased by the fact that only one of NASA’s three HLS awards could result in SLS launch contracts. Surprise winner Dynetics has proposed a lander that can launch on either SLS 1B or the United Launch Alliance (ULA) Vulcan Centaur rockets.
SpaceX’s Starship lander will unsurprisingly launch of its own Super Heavy rocket booster, while Blue Origin, Lockheed Martin, Northrup Grumman, and Draper’s lander will almost certainly launch on the former company’s New Glenn rocket.
Ultimately, this is the most significant acknowledgement and support SpaceX’s next-generation Starship rocket has ever received from NASA or the US federal government. Still, of the ~$970 million NASA has initially committed, Starship only received $135 million – nearly half as much as Dynetic received and more than four times less than Blue Origin’s award. NASA is thus clearly hinging its investment on SpaceX’s continued internal support for its next-generation, fully-reusable launch vehicle, as $135 million certainly isn’t enough for even SpaceX to build a building-sized rocket to land astronauts on the Moon.
Regardless, this is certainly one of the most intriguing possible outcomes of NASA’s Human Lander Systems contracts and should keep things very interesting – pending Congressional support – over the next several years.
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
