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SpaceX ships 200th Falcon second stage, highlighting the flip-side of booster reuse
SpaceX has built and shipped its 200th Falcon second stage, highlighting the often underappreciated rocket’s record of achievement on the ground and in flight.
Approximately 13 years ago, in late 2009 or early 2010, SpaceX shipped the first flightworthy prototype of the first iteration of its Falcon 9 second stage. In June 2010, Falcon 9 lifted off on its inaugural test flight and, with the help of that second stage, successfully launched a boilerplate mockup of Dragon spacecraft into orbit. Since Falcon 9’s surprising inaugural success, SpaceX’s Falcon 9 and Falcon Heavy rockets have launched another 187 times for a total of 188 launches and 189 assembled rockets. Every one of those launches has required a new second stage, and all but one (Crew Dragon’s In-Flight Abort test) required a new Merlin Vacuum engine.
While SpaceX is most famous for the successful realization of rapidly reusable Falcon boosters, the company’s overall success is also inextricably linked to Falcon second stages, which are and always will be expended after every launch. For every spectacular Falcon booster landing or reuse record, a Falcon second stage either unceremoniously burns up in Earth’s atmosphere or finds itself stranded in orbit. As a result, even as SpaceX’s reusability has allowed it to launch more than ever before with a fleet of just 10-20 Falcon boosters, the company has had to expand the production of Falcon second stages extraordinary levels.
SpaceX just completed its 188th Falcon 9/Heavy launch, so the 200th flightworthy second stage and Merlin Vacuum (MVac) engine are probably scheduled to launch sometime in January 2023. In the last 365 days, SpaceX’s Falcon rockets have completed 59 successful orbital launches. Every launch has required a new second stage, so SpaceX, on average, has consistently built, shipped, and tested a new Falcon second stage every 6.2 days for more than a year.
Thanks to SpaceX’s record-breaking 2022 launch cadence, which has resulted in Falcon 9 launching more in one calendar year than any other rocket in history, the Falcon second stage has likely become the most-produced orbital rocket stage in decades. Barring surprises, SpaceX is on track to achieve CEO Elon Musk’s goal of 60 Falcon launches in 2022. But SpaceX isn’t done yet, and CEO Elon Musk says that the company is targeting “up to 100 launches” in 2023. After nearly doubling between early and late 2021, that will require Falcon second stage production to increase another ~67% year-over-year.
In its 12.5-year career, Falcon 9 has suffered three failures. In October 2012, on its third launch, one of Falcon 9’s nine Merlin 1C booster engines failed in flight. The main mission – a Dragon cargo mission to the International Space Station – was saved by the second stage, which autonomously compensated for the lost performance, but a secondary payload (Orbcomm’s first OG2 satellite prototype) was lost as a result. In June 2015, a faulty strut inside Falcon 9’s second stage caused a helium pressure vessel to break loose and rupture, destroying the rocket mid-flight. And in September 2016, during a prelaunch static fire test, a similar pressure vessel inside an upgraded Falcon 9’s second stage spontaneously sparked, causing an explosion that destroyed the rocket while it was still on the ground.
As a result, while problems with Falcon second stages have technically caused both of Falcon 9’s only catastrophic failures, it’s still true that a free-flying Falcon second stage has never failed in flight. The same is true for the second stage’s Merlin Vacuum engine: over hundreds of burns and more than 70,000 seconds of operation, MVac has never failed in flight.
After Falcon 9’s successful November 3rd, 2022 launch of the Eutelsat Hotbird 13G communications satellite, SpaceX’s Falcon rocket family has completed 160 launches without failure, arguably making it the most reliable rocket family in history. To achieve that feat with its partially-reusable Falcon 9 and Falcon Heavy rockets, SpaceX has had to master reusable and expendable orbital rockets to a degree that only a few other companies or space agencies in history can claim to have matched or exceeded, and that none have achieved simultaneously.
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
