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SpaceX readies for astronaut capsule recovery backup plan as rocket drone ship deploys to landing zone
Mission objectives of the SpaceX Crew Dragon Demo-2 test flight, have already commenced days ahead of the scheduled launch attempt. On Wednesday, May 27th at 4:33 pm EDT, Elon Musk’s rocket launching – and landing – company, SpaceX, will set out to achieve more firsts than it has ever attempted in one launch. The final Crew Dragon test flight will shuttle NASA astronauts Bob Behnken and Doug Hurley to the International Space Station for the very first time. Along with the primary mission objective to deliver the astronauts safely, many secondary objectives are built into the mission profile. One of which is autonomously turning the Falcon 9 booster around shortly after launch to land on a floating barge in the middle of the Atlantic Ocean.
During the late hours of Saturday, May 23rd, a trusted veteran member of the SpaceX fleet of recovery vessels, Tug Hawk, returned to Port Canaveral to transport SpaceX’s autonomous spaceport drone ship, Of Course I Still Love You (OCISLY) to the designated booster recovery zone some 510km downrange. It seems that Tug Hawk and its crew returned specifically to assist with the recovery efforts of SpaceX’s highest-profile launch to date as there was already another tug at Port Canaveral available to assist that was not used. The arrival was captured by long-time port activity documenter, Julia Bergeron, and reported by the unofficial Twitter SpaceX recovery vessel tracking account, SpaceXFleet.
The SpaceX recovery fleet portion of the Demo-2 mission got underway on the morning of Sunday (May 24th). Space Coast local Greg Scott was at Port Canaveral to capture Tug Hawk’s departure with OCISLY in tow just twelve hours after arriving. About an hour later, the OCISLY support vessel that carries cargo and crew essential for booster recovery efforts, GO Quest, departed. It will take Tug Hawk and OCISLY approximately two days to travel to the recovery zone, arriving about 24 hours before the launch attempt.
The propulsive landing of a booster at sea is not a new concept for SpaceX. However, it is a practice that can be somewhat tricky to get right every time due to a multitude of factors. Recently, SpaceX suffered the loss of the Falcon 9 boosters B1056 and B1048 following recent Starlink satellite launches. Both boosters suffered unrelated issues with high winds and software glitches resulting in failed attempts to stick the landing on OCISLY. However, SpaceX successfully demonstrated the reliability of the Falcon 9 landing capability with the flawless launch and landing of the April 22nd Starlink Falcon 9 B1051 booster.
A special circumstance of the Demo-2 mission is the added recovery requirements of the Crew Dragon capsule. With Crew Dragon launching from LC-39A at the Kennedy Space Center in Florida and splashdown designated for the Atlantic Ocean, various recovery zones span almost the entire length of the United States’ eastern seaboard and across the Atlantic Ocean to Ireland. Special recovery zones also are located throughout the Gulf of Mexico.
Typically, the recovery of a crew capsule would only be thought to occur upon mission end when it is on approach for splashdown after re-entry. However, the specially equipped SpaceX Crew Dragon recovery vessels, GO Searcher and GO Navigator, are required to be able to respond to a number of locations during launch and through the entire duration of Crew Dragon’s time on orbit chasing down the International Space Station prior to docking – for Demo-2 that will be nineteen hours. This is to ensure that in the unlikely event of Crew Dragon experiencing an emergency pad or launch abort scenario, the crew aboard can be safely rescued.
To this end, GO Searcher departed Port Canaveral days ago destined for the Naval Air Station in Pensacola on Florida’s west coast. GO Navigator will remain at Port Canaveral until Crew Dragon returns for a splashdown following the conclusion of Demo-2. Dual Dragon recovery vessels stationed on either side of Florida ensures that Hurley and Behnken can be rescued should they require emergency recovery.
Should Demo-2 pass SpaceX’s upcoming final Launch Readiness Review scheduled for Monday, May 25th, all will proceed toward the launch attempt on Wednesday, May 27th at 4:33 pm EDT.
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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
