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Hawthorne, we have a problem: SpaceX has too many boosters
Over the course of two years of concerted effort, SpaceX has matured its program of reusable rocketry into a truly staggering success. Over the 24 months since SpaceX first successful recovery of a Falcon 9 booster, there have been stumbles as recovery improved, but overall the company has accomplished 20 near-flawless landings of boosters over that period. Perhaps more impressively, following a handful of failed recovery attempts in 2016, SpaceX has successfully recovered 15 boosters without incident, with the vast majority of those attempts occurring in 2017.
2017 has ultimately been the best year yet for the launch company, marked by what will likely be 18 successful missions (after Iridium-4) for Falcon 9, five commercial reuses of flight-proven boosters, the activation of three essentially new launch facilities, and numerous additional accomplishments behind the scenes as the inaugural launches of Falcon Heavy and Crew Dragon rapidly approach. The success of reusability is arguably the sticking point here, and that success has meant that SpaceX rapidly accumulated a huge stock of recovered Falcon 9s, often to the extent that Elon Musk sometimes joked about running out of space for boosters.
Falcon 9 1035 conducts its second landing after successfully launching CRS-13 on December 15. (NASA)
While it may not be immediately clear if SpaceX is legitimately running out of space with which to store its fleet of boosters, reports of first stages being mothballed or even scrapped suggest that space may indeed be at a premium, or at least indicate that SpaceX is growing increasingly pragmatic as its reuse expertise expands.
This is to say that while there may be room to store a few additional boosters, the reality is that older Block 3 Falcon 9s were simply not designed with an expectation that they would affordably survive multiple reuses. As such, it should come as little surprise that SpaceX is choosing to expend at least a couple of upcoming launches featuring reused boosters. As of December 19, public information indicates that the West Coast launch of Iridium-4 – scheduled for Dec. 22 – will not attempt first stage recovery. While somewhat sad, the decision is entirely rational, and it appears all but certain that Iridium-4 will at a minimum feature an attempt at fairing recovery aboard the highly-modified recovery vessel Mr. Steven.
Instagram is an invaluable asset for core tracking, with a number of SpaceX-aware individuals reliably tagging their Falcon 9 finds. 1036, the Block 3 booster that launched Iridium-2 and will soon refly with Iridium-4 is pictured above. (Instagram/Luka Hargett)
Public Falcon 9 tracking efforts on forums like Reddit and NASASpaceflight indicate that Block 3 boosters include 1029-1038, all of which debuted with their first launches in 2017, beginning with Iridium-1 in January. Of those ten distinct boosters, only two currently lack any future missions, 1032 and 1038; SpaceX has essentially worked the Block 3 fleet to its end-of-life, and that end will be efficiently sped up by simply expending those final reused boosters if or when they are reflown, Iridium-4 included.
For now, we only use those on super hot reentry missions. Will go to all Ti with Falcon 9 V5, which is a few months away.
— Elon Musk (@elonmusk) December 17, 2017
Expending those older flight-proven boosters will allow SpaceX to both figuratively and literally replace Falcon 9’s less capable predecessors with Block 4s and eventually Block 5s, both of which are at least marginally more reusable than their predecessors. As reported by Musk himself a few days ago, Falcon 9 Block 5 is expected within a few months. Block 5 has seen considerable modifications made to Falcon 9, and all of those changes are intended to improve ease of reuse: SpaceX’s official goal for the upgrade is to enabled Falcon 9 first stages to be reflown as many as 10 times with little to no refurbishment and a lifespan of 100 flights with significant periodic refurbishment. As a result, it is possible that 2018 might feature a similar period of reused Block 4 launches sans any attempted recoveries.
In the meantime, we can wish the fairing recovery teams the best of luck and mourn several of the pioneers of reusable rocketry. Here’s to hoping that we are treated to a live view of each booster’s demise in homage to their achievements.
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
