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Elon Musk says SpaceX is still building a third drone ship – but is it for Falcon or Starship?
Unprovoked on October 9th, SpaceX CEO Elon Musk tweeted “A Shortfall of Gravitas” – the name of a third drone ship settled on a year and a half ago – and reaffirmed that plans were still afoot to build a third rocket recovery vessel.
This is the first update on SpaceX’s newest drone ship in more than a year and comes just a few months after drone ship Just Read The Instructions (JRTI) – formerly stationed in California – was sent East through the Panama Canal. News that A Shortfall of Gravitas (ASOG) is still in the works raises the questions: what’s the holdup and what role(s) will the new drone ship play in SpaceX’s rocket recovery fleet?
Back in July 2018 and just shy of half a year after ASOG’s development was revealed, CEO Elon Musk indicated that the drone ship could be completed and ready for recovery operations as early as “next summer”, or Q3 2019. Now two weeks into Q4 2019, this can be interpreted in several ways, with the most likely explanation being that SpaceX’s naval contractor of choice is running behind schedule while building the new drone ship.
That’s the simplest explanation and operates under the assumption that Musk’s February 2018 comments remain true, meaning that ASOG is first and foremost (if not entirely) meant to support dual side booster landings for future Falcon Heavy launches and an increased Falcon 9 flight rate. However, recent developments give reason to believe that this may no longer be the guiding motivation behind SpaceX’s construction of a new drone ship.
Most notably, over the last several months of 2019, it has become increasingly clear that SpaceX plans (or hopes) to shut down its West Coast Vandenberg Air Force Base (VAFB) launch facilities for anywhere from 9 to 18 months. In just the last few days, word broke that Cape Canaveral Air Force Station (CCAFS) believes that it will be able to open an East Coast polar launch corridor (essentially the same thing VAFB offers) just months from now, and SpaceX hopes to be its first user as soon as February 2020.
Possibly along those lines, SpaceX took the step of sending West Coast drone ship JRTI on a several-week journey across the Panama Canal. The drone ship has since stopped in Louisiana for what is assumed to be maintenance and it remains unclear if JRTI will head to Port of Brownsville (Texas) to support Starship test flights or to Port Canaveral to fill the role ASOG was initially meant to.
As such, it’s no longer clear if SpaceX actually has a need for ASOG, at least as it was described last year. If SpaceX is moving JRTI east for the indefinite future, OCISLY and JRTI could easily support the Falcon 9 launch rates needed for Starlink and dual Falcon Heavy side booster recoveries, although Falcon Heavy is not scheduled to fly again until late-2020.
This leaves one obvious option left to explain ASOG’s continued existence and delayed debut: SpaceX may have paused work for a variety of reasons and changed ASOG’s design to account for a new role in the recovery fleet. That new role would likely center around the extremely rapid progress SpaceX is making with Starship as it pursues a series of ambitious flight tests that could begin before the end of 2019.
Of note, an August 2019 Draft Environmental Assessment (EA) of East Coast Starship launches revealed that SpaceX’s initially plans to land all Super Heavy boosters on a drone ship stationed a few miles off the Florida coast. Starship may also require drone ship landings in the early stages, at least until SpaceX is able to complete the environmental review and licensing process needed before it can begin to land Starship/Super Heavy at Pad 39A and Landing Zones 1 and 2.
For now, we’ll have to wait and see where drone ship JRTI heads after its Louisiana interlude and hopefully find out soon whether ASOG is a drone ship copy or something else entirely.
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
