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SpaceX and NASA defeat Blue Origin’s Starship Moon lander lawsuit
While specific details of the decision are likely a few weeks away, the US Court of Federal Claims has denied an infamous Blue Origin lawsuit, upholding NASA’s decision to award SpaceX a contract to create a Starship-derived Moon lander.
The ruling ends almost seven months of delays explicitly caused by protests and lawsuits filed by competitors Dynetics and Blue Origin. Protests were first filed with the US Government Accountability Office (GAO) about a week after NASA announced in April 2021 that SpaceX would build the Human Landing System. Both protests were denied in July but Blue Origin ultimately chose to double down and filed a lawsuit against NASA and SpaceX in August, kicking off a process guaranteed to cause several more months of delays.
NASA’s decision to contract with SpaceX alone defied most expectations, especially when the space agency ultimately explained that SpaceX’s Starship proposal was half the price of the next best option while simultaneously offering better management and more convincing technical expertise. More importantly, rather than attempting to deliver the bare minimum specifications NASA requested from HLS bidders, SpaceX’s Starship Moon lander went above and beyond, enabling potentially revolutionary performance magnitudes better than Blue Origin or Dynetics’ offerings.
Based on their redacted GAO protests, both of which contained a litany of frivolous arguments and dubiously relevant and self-unaware jabs at SpaceX, Blue Origin and Dynetics were furious about their losses. Aside from one minor nitpick, GAO wholly denied both protests, at which point Blue Origin took the matter to federal court rather than slink home, tail between its legs. In the interim between protest filing and GAO’s decision, Blue Origin also repeatedly tried to go behind NASA’s back by having sympathetic members of Congress tack on amendments to unrelated bills that would have forced the space agency to select a second HLS lander without guaranteeing the additional funding needed to pay for it.
Blue Origin owner and former Amazon CEO Jeff Bezos even sent an unsolicited letter and proposal to NASA offering to pony up $2B of the ~$6B it requested to develop a NASA Moon lander. SpaceX, on the other hand, did what NASA’s HLS request for proposal (RFP) explicitly asked of bidders and proposed to pay half of its Starship lander development costs in its original proposal, while Blue Origin instead attempted to milk as much money from NASA as possible under the delusional premise that NASA would then negotiate for a cheaper deal (illegal under basic contracting rules).
Later on, weeks into the lawsuit, redacted court filings revealed that Blue Origin had abandoned most of the arguments it put forth in its GAO protest and was instead leading with the claim that a few minor (but potentially valid) violations of contracting rules made by NASA and SpaceX in their limited post-award negotiations. It’s now clear that the presiding judge was far from convinced by that argument, instead ruling entirely in SpaceX and NASA’s favor and upholding the space agency’s HLS procurement process.
It remains to be seen if the judge was at all swayed by any of the several arguments Blue Origin threw at the wall, something that the court’s final redacted decision will hopefully clarify when it’s released around November 18th. In the meantime, it’s unclear when exactly NASA and SpaceX will be able to finally get back to work on HLS. Prior to the court’s decision, NASA’s voluntary stay of performance – preventing collaboration with SpaceX on its HLS contract – was scheduled to expire on November 8th.
The brief decisions can be read here (PDF) and here (PDF).
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
