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SpaceX Falcon 9 crushes next-gen ULA Vulcan rocket on cost in first competition
The United Launch Alliance’s (ULA) next-generation Vulcan Centaur rocket appears to have made it through what could be described as its first real competition with SpaceX and its Falcon 9 workhorse.
The US Space Force (or Air Force) awarded both rockets two launch contracts each on March 9th, marking the second award under “Phase 2” of a new National Security Space Launch (NSSL; formerly Evolved Expendable Launch Vehicle or EELV) agreement. The culmination of a multi-year competition, NSSL Phase 2 calcified in late 2020 when the US military ultimately chose ULA and SpaceX as its primary launch providers for the better part of the next decade.
The final Phase 2 agreement followed Phase 1, in which the USAF committed up to $2.3 billion to assist Blue Origin, Northrop Grumman, and ULA in their efforts to develop future military launch capabilities. SpaceX submitted a proposal but didn’t win funds. Even though the ULA-SpaceX dichotomy was already a more or less fixed outcome before the competition even began, the US military still managed to dole out almost $800 million to Blue Origin and Northrop Grumman before announcing that neither provider had been selected for Phase 2.
Notably, as part of Phase 1, ULA is on track to receive nearly $1 billion in USSF/USAF aid to develop its next-generation Vulcan Centaur rocket and ensure that it meets all of the military’s exacting, unique requirements. SpaceX, on the other hand, received a sum total of $0 from that opaque slush fund to meet the exact same requirements as ULA.
For Phase 2, the US military arbitrarily split the roughly two-dozen launch contracts up for grabs into a 60/40 pile. Even more bizarrely, the USAF did everything in its power to prevent two of the three rockets it had just spent more than $1.7 billion to help develop from receiving any of those two or three-dozen available launch contracts – all but literally setting $800M of that investment on fire. Short of comical levels of blind ineptitude, verging on criminal negligence, the only possible explanation for the US military’s behavior with NSSL Phase 1 and Phase 2 is a no-holds-barred effort to guarantee that ULA and its Vulcan Centaur rocket would have zero real competition.
The arbitrary 60:40 split of the final Phase 2 contract ‘lot’ further supports that argument. A government agency objectively interested in securing the best possible value and redundancy for its taxpayer-provided money would logically exploit a $1.7B investment as much as possible instead of throwing two-thirds of its ultimate value in the trash. On its own, a block-buy scenario – even with a leading goal of selecting two providers – is fundamentally inferior to an open competition for each of the dozens of launch contracts at hand.
Further, selecting the block-buy option and failing to split those contracts 50:50 makes it even clearer that the USAF’s only steadfast NSSL Phase 2 goal was to guarantee ULA enough Vulcan launch contracts for the company to be comfortable and (most likely) not lose money on a rocket that has yet to demonstrate an ability to compete on the commercial launch market.
Amazingly, despite multiple handicaps in the form of a 60:40 contract split and what amounts to a $1B subsidy that explicitly disadvantages its only competitor, ULA’s Vulcan rocket still appears to be ~40% more expensive than SpaceX’s Falcon 9. In the latest round of NSSL Phase 2 contracts, seemingly the first in which ULA’s Vulcan Centaur rocket was selected, SpaceX’s Falcon 9 received two East Coast launch contracts worth slightly less than $160M, averaging out to less than $80M each.
Outfitted with four of a possible zero, two, four, or six strap-on solid rocket boosters (SRBs), Vulcan Centaur received two launch contracts for $224M – an average of $112M each. Assuming ULA wins exactly 60% (~15) of the Phase 2 launch contracts up for grabs and receives no more than $1 billion in USAF development funding through NSSL Phase 1, some $67 million will have to be added to the cost of each announced Vulcan launch contract to get a truly accurate picture. In the case of the rocket’s first two contracts, the real average cost of each Vulcan Centaur launch could thus be closer to $179M ($112M+$67M).
According to ULA CEO Tory Bruno, both Vulcan missions are to “high-energy orbits,” whereas a USAF official told Spaceflight Now that SpaceX’s two Falcon 9 contracts were to “lower-energy orbits.” In Vulcan’s defense, if Bruno’s “high-energy orbit” comment means a circular geostationary orbit (GEO) or a very heavy payload to an elliptical geostationary transfer orbit (GTO), it’s possible that SpaceX would have had to use Falcon Heavy to complete the same contracts. Against Falcon Heavy’s established institutional pricing and excluding ULA’s $1B Phase 1 subsidy, Vulcan Centaur is reasonably competitive.
Ultimately, even with several significant cards stacked against it, SpaceX appears likely to continue crushing entrenched competitors like ULA and Arianespace on cost while still offering performance and results equivalent to or better than even than their “next-generation” rockets.
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
