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SpaceX marine fleet kicks into high gear
As SpaceX looks to continue its quest to achieve over 140 launches this year, its marine fleet is functioning at an insane pace.
SpaceX currently operates a trio of autonomous spaceport drone ships, two fairing recovering ships, and two Crew/Cargo Dragon recovery ships.
A Falcon 9 returns to Port Canaveral aboard ‘Just Read the Instructions’ with Bob towing (Credit Richard Angle)
In years past, SpaceX has been able to comfortably launch missions and have plenty of time for a droneship to bring a Falcon 9 back to port before their next mission would be up and have time for crew rest, but with their increased cadence last year and into this year, SpaceX is starting to see record turnarounds between arriving back into port and disembarking for their next landing attempt.
The most recent example is the droneship ‘A Shortfall of Gravitas’ returning a Falcon 9 to port just ~50 hours after landing, traveling over 600km and through the Bahamas, unloading the Falcon 9 onto shore, and leaving back to sea for another Starlink mission the following evening with fairing recovery ship Doug tagging along to recover the fairings after their own trip back to Earth.
The other East Coast-based droneship, ‘Just Read the Instructions, ‘ also completed its own ~12-hour turnaround to support another Falcon 9 landing, with support ship Bob assisting in that fairing recovery. Over on the West Coast, the droneship, ‘Of Course I Still Love You,’ is already out at its respective landing zone to support a Starlink mission.
Having these vessels ready and out to sea gives SpaceX the chance to support a possible triple header later this evening, with three Falcon 9 launches possible within around five hours of each other.
The fairing recovery ships, named after the NASA astronauts who completed the Demo 2 mission, Bob & Doug, stay consistently busy as well, helping recover fairings to save SpaceX the roughly $6 million it costs to make a new set. In some cases, these ships will stay out for two straight missions and return to port with 4 fairings. The ships also use their cranes to move recovery personnel onto the droneships. They are capable of towing them, but that is usually reserved for a dedicated tug boat that is hired by SpaceX.
Bob and Doug at Port Canaveral (Credit Richard Angle)
The Crew/Cargo Dragon recovery ships, also named after NASA astronauts Megan McArthur (Crew-2) and Shannon Walker (Crew-1), are out to sea pretty frequently. When not recovering Crews or science experiments in Cargo Dragons, they conduct many training exercises to keep their skills high.
Fairing recovery ship Doug with Dragon recovery ship Shannon (then named GO Navigator) (Credit Richard Angle)
Having these ships able to maintain such a fast pace is in itself impressive, as the ocean is unforgiving at times, as evidenced by the recently lost Booster 1058, which toppled over in rough seas and was lost.
As the launch count climbs, more and more pressure will be placed upon the fleet as they look to maintain their safety and fast-paced work, ensuring SpaceX can keep setting industry records.
Do you think SpaceX needs to add a couple more ships and maybe another droneship?
Questions or comments? Shoot me an email at rangle@teslarati.com, or Tweet me @RDAnglePhoto.
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.”
News
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
