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SpaceX’s surprise Falcon 9 drone ship landing explained ahead of Cargo Dragon launch
Speaking in a press briefing prior to NASA’s next Cargo Dragon launch, a SpaceX official shed some light on a surprise Falcon 9 drone ship landing planned for Wednesday, revealing the circumstances behind the unique decision.
A few days ago, it became clear that SpaceX and NASA and decided to perform a drone ship booster landing attempt after Cargo Dragon’s CRS-19 launch, an unusual trajectory compared to the more typical return-to-launch-site (RTLS) Landing Zone recoveries. Teslarati discussed this quandary earlier today.
“As it turns out, this Falcon 9 landing is a bit of mystery: it’s unclear why exactly SpaceX has decided to land the booster at sea instead of the usual Landing Zone recoveries that have followed most recent Cargo Dragon launches. Typically, the low insertion orbit (~200 km x ~390 km) and relatively low mass of Cargo Dragon (less than 10 tons or 22,000 lb) means that Falcon 9 has (literally) tons of propellant left over, giving it the margins needed to flip around, cancel out a huge amount of horizontal velocity, and boost 100+ km (62+ mi) back to shore.
Instead, new Falcon 9 booster B1058 is scheduled to land aboard drone ship OCISLY some 350 km (220 mi) downrange, an unusual distance. For reference, SpaceX’s May 2019 CRS-17 mission is the only time Falcon 9 has landed at sea after a CRS launch since CRS-8, the rocket’s first successful drone ship recovery. That scenario was forced because LZ-1/2 had coincidently been showered in Crew Dragon debris after C201 exploded during testing. Even then, OCISLY was stationed just 20 or so kilometers offshore, meaning that Falcon 9 B1056 still performed a routine Return To Launch Site (RTLS) landing in spirit.”
Teslarati.com — December 3rd
According to Jessica Jensen, SpaceX’s director of Dragon mission management, the actual reason behind Falcon 9 B1058’s surprise drone ship landing is relatively simple and was more or less one of the possibilities posed earlier today at Teslarati.
“[It’s] also possible that CRS-19 will follow in the footsteps of CRS-18, which sported a prototype Falcon 9 upper stage designed to push the enveloped of its orbital longevity. Falcon 9 B1056 still managed to land at LZ-1 after CRS-18, but a more ambitious follow-on test could potentially require much more propellant, accounting for the drone ship’s position further downrange “
Much as predicted, SpaceX is essentially going to perform an even more ambitious coast test, requiring significantly larger propellant margins that took away from Falcon 9’s own landing propellant budget. For whatever reason, the gray coating covering the CRS-18 upper stage’s RP-1 (refined kerosene) tank is not present on Falcon 9. Based on a picture taken of the horizontal rocket by a NASA Social CRS-19 attendee, CRS-19’s upper stage looks no different than any other.
Jensen says that the coast test will be performed for unspecified “other” customers, presumably referring to the US Air Force (USAF) and other commercial customers interested in direct-to-geostationary (GEO) launch services. Direct GEO launches require rocket upper stages to perform extremely long coasts in orbit, all while fighting the hostile vacuum environment’s temperature swings and radiation belts and attempting to prevent cryogenic propellant from boiling off or freezing solid. In simple terms, it’s incredibly difficult to build a reliable, high-performance upper stage capable of remaining fully functional after 6-12+ hours in orbit.
Although SpaceX said that the test was for “other” customers, that may well have been a cryptic way to avoid indicating that one such customer might be NASA itself. NASA is in the midst of a political battle for the Europa Clipper spacecraft’s launch contract, which is currently legally obligated to launch on NASA’s SLS rocket. Said rocket will likely cost on the order of >$2 billion per launch, meaning that simply using Falcon Heavy or Delta IV Heavy could save no less than ~$1.5 billion. Incredibly, that means that simply using a commercial launch vehicle could save NASA enough money to fund an entire Curiosity-sized Mars rover or even a majority of the cost of building a dedicated Europa lander. Such a launch would demand every ounce of Falcon Heavy’s performance, including a very long orbital coast.
Regardless of the prospective beneficiaries of SpaceX’s planned Falcon 9 upper stage test, CRS-19 is scheduled to launch no earlier than 12:51 pm EST (16:51 UTC), December 4th. High upper-level winds may delay the mission 24 hours to December 5th but for now, it remains on track for Wednesday.
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Elon Musk dismissed reports claiming SpaceX had placed a massive order for NVIDIA GPUs worth $52 billion. The denial came hours after Taiwanese media, citing unnamed industry sources, reported that SpaceX planned to acquire approximately 13,000 AI server racks, equating to roughly 1 million GB300 GPUs, from Foxconn.
Each rack was estimated at around $4 million, with deliveries potentially starting in late 2025.
The story suggested this would mark SpaceX’s first major foray into Foxconn-manufactured NVIDIA hardware, breaking from suppliers like Supermicro and Dell. Musk responded bluntly on X:
This is fake news
— Elon Musk (@elonmusk) July 20, 2026
Despite the denial, the rumored scale aligns with SpaceX’s explosive growth in AI infrastructure. NVIDIA’s GB300 (successor to the GB200 NVL) racks deliver unprecedented performance for large-scale training and inference. A $52 billion commitment would dwarf most corporate AI budgets and provide the compute muscle needed for frontier models.
SpaceX already operates gigawatt-scale terrestrial clusters like Colossus in Memphis, Tennessee, and has monetized them aggressively through leasing deals.
SpaceX’s newest Starmind will make earth data centers obsolete
Major customers include Anthropic (paying ~$1.25 billion monthly for 220,000+ GPUs), Google (~$920 million monthly for 110,000 GPUs), and Reflection AI. These arrangements are projected to generate tens of billions in annual revenue, far outpacing traditional SpaceX businesses.
Such an investment would fuel internal AI efforts, particularly Grok models under the integrated SpaceXAI division, while supporting ambitious orbital data center plans. SpaceX envisions launching thousands of AI-optimized satellites powered by solar energy and cooled in space, bypassing terrestrial power and land constraints.
This “Starmind” constellation could position the company as a leader in space-based computing.
SpaceX as an Emerging AI Powerhouse
Once primarily known for reusable rockets and Starlink satellite internet, SpaceX has transformed into a multifaceted AI player.
The 2026 acquisition of xAI integrated Grok development directly into the company. Starlink’s low-latency global network complements massive compute clusters, enabling efficient data flow for training and serving AI models.
Musk has long argued that AI scaling demands solutions beyond Earth, citing things like real estate and electricity limits on the ground.
While the Foxconn deal may not be in the cards, SpaceX’s trajectory is continuing on the path of blending aerospace engineering with hyperscale AI to dominate both launches and intelligence infrastructure.
Elon Musk shed more details on the upcoming improvements to Tesla’s Full Self-Driving suite, specifically one that the CEO mentioned last week, which should help owners see fewer interventions.
Last week, Musk hinted that one major improvement that Tesla planned to roll out to Full Self-Driving users was the car’s ability “to remember your specific interventions and match each person’s individual preferences.”
Elon Musk says your Tesla will start to learn your individual preferences
This small bit of detail was linked to a post from Tesla community member Whole Mars, who said that FSD’s tendency to exit the carpool lane, a feature that owners can turn on but at times the car will disregard.
It sounds like, based on Musk’s two responses since that original post, it is safe to say the things FSD will start to remember are wide-ranging. However, it seems the biggest differences will be noticed with parking performance, which Musk continues to mention.
Highway Lane Preferences
The initial post Musk mentioned, with these new remembered preferences soon to arrive for Tesla owners everywhere, was the Carpool/Express Lane.
Tesla has a setting in the FSD menu that lets drivers enable HOV Lane travel. However, the car won’t always stay in that suggested or preferred lane.
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
Some owners have also complained of left lane camping, an illegal maneuver in at least some states. Cruising in the passing lane has resulted in tickets for some, as it is illegal in over 30 states in the U.S.
Tesla did not confirm if these preferences would also be included in new FSD behaviors, but it would certainly help move the company toward fewer interventions.
Parking Preferences
This seems to be the real focus of the entire operation, as Musk stated several weeks ago that parking was overwhelmingly the most frequent reason for interventions.
The major issue with parking is not necessarily the parking “performance,” as FSD is generally good at parking. It definitely has its issues; we’ve recorded plenty of them, including this one as recent as last week:
Yeah it seems like FSD v14.3.5 is having some issues with parking early on https://t.co/Bw5ULfVmDq pic.twitter.com/RHdpjOEpIo
— TESLARATI (@Teslarati) July 13, 2026
However, the changes coming are more about preferences, meaning where you park and how your car enters the spot, either pulling in or backing in. Owners have also reported that pulling into the correct driveway is a relatively rare thing for FSD, something else that needs to be confronted.
Musk basically confirmed that all of these things would be part of Tesla’s plan to address driver preferences with FSD:
Yes
— Elon Musk (@elonmusk) July 20, 2026
It’s obvious there is something big coming with FSD, and the company’s focus seems to be eliminating any intervention that would be related to preferences. This is probably the biggest bottleneck between Tesla and being fully autonomous. Critical interventions do occur, but they are much less frequent.
The only time a driver should be taking over is because of a critical intervention; this seems to be the goal of Tesla right now.
This all seems to be a priority as Tesla continues to move closer to the prospect of unsupervised driving.
Elon Musk said today on X that Teslas will start to learn your individual preferences. This is something that he seemed to hint toward earlier this month when he said parking was by far the biggest reason drivers intervene with Full Self-Driving.
Musk made the comment in response to notable Tesla influencer Whole Mars, who said that his vehicle will sometimes disobey the settings he has enabled for his car. He responded to the post, stating that “The car will start to remember your specific interventions and match each person’s individual preferences.”
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
This is something that could be perhaps one of the biggest ways Tesla could minimize or even work closer toward eliminating interventions altogether. While FSD does a lot of things really well, many people intervene a vast majority of the time not due to major or critical safety errors.
Instead, many take over because the car is doing something that they do not like as a preference; it might park in a parking spot that is not preferred by the driver, it might linger too long in the left lane on the highway (a personal favorite), or it could even take a route that the driver does not like.
These all lead to interventions, but they are not triggered by a major safety issue. Instead, it’s just preference.
READ OUR REVIEW OF TESLA’S LATEST FSD VERSION:
Tesla Full Self-Driving v14.3.5 Early Impressions: new features and early performance
If Teslas could start to learn the personal preferences of the person who owns them, interventions will truly begin to be less frequent. Some of this is already pretty evident, in my opinion. Teslas use a neural network to learn behaviors and accumulate data to improve performance.
For months now, we’ve tracked FSD’s performance at “Except Right Turn” stop signs, something that is very common in Pennsylvania, but many of our readers located in other parts of the U.S. have never heard of. FSD handles one Except Right Turn stop sign very well, one that I travel past frequently. Others that I do not navigate through as often do not have as confident a performance. It seems like the cars might already be doing this to an extent.
🚨 Tesla Full Self-Driving v14.3 proceeds through an Except Right Turn Stop Sign pic.twitter.com/YemRSlens7
— TESLARATI (@Teslarati) April 8, 2026
That example is also for something that is a street sign and not necessarily a driver preference; however, I still feel it is worth mentioning because it only handles that commonly passed Except Right Turn stop sign with true confidence. Others it still seems to struggle with.
This could be one of Tesla’s big moves toward full autonomy, and it could be a pathway to truly unsupervised driving. Every day, millions of cars on the road travel at a human driver’s personal preferences with no incident. Why can’t autonomous vehicles still cater to a passenger’s preferences while being autonomous? Tesla seems to have the idea that it would be possible.
Elon Musk dispels $52 billion SpaceX-NVIDIA GPU deal: ‘Fake news’
Elon Musk sheds details on Tesla FSD’s upcoming improvements
