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SpaceX Falcon 9 Starlink launch eyes two reusability milestones as new satellite details emerge
SpaceX is set for Falcon 9’s first orbital launch in more than three months. Known as Starlink-1, the mission will launch the company’s heaviest satellite payload ever and feature an impressive array of Falcon 9 booster and fairing reusability milestones.
Flatsat stack
Prior to Falcon 9 going vertical on the launch pad, SpaceX technicians had to construct and encapsulate a massive stack of 60 Starlink satellites, each weighing more than 260 kg (570 lb) apiece. This is the second time SpaceX has launched sixty of the advanced spacecraft, although the satellites that will launch on Starlink-1 feature a number of upgrades and refinements not present on the Starlink v0.9 satellites that launched in May 2019.
Without an identical angle from the Starlink v0.9 mission to compare against, it’s difficult to immediately point out visual differences between v0.9 and v1.0 spacecraft. Still, there are some clear general changes. Most notably, SpaceX appears to have dramatically reduced the area of shiny, metallic surfaces. Additionally, the small downward-facing dishes just left of center in the above image were not obviously present on Starlink v0.9 satellites or SpaceX’s official renders.
Those new dishes could be traditional dish antennas meant to serve as a more basic telemetry, tracking, and command (TTC) communications link for ground controllers. They could even be a prototype of Starlink’s planned inter-satellite laser data links. Regardless, it’s obvious that SpaceX is continuing its preferred cycle of rapid prototyping, flight-testing, and data-based refinement with Starlink.
SpaceX is also focused on dramatically lowering the albedo (reflectivity) of Starlink satellites and working closely with the astronomy and astrophysics communities to minimize any disruption the spacecraft might cause for scientific observations of the night sky. For any part that will be ground-facing during routine operations, this likely involves replacing shiny surfaces with matte finishes and adding dark or non-reflective coatings/insulation where possible, among other potential tweaks.
The more milestones, the merrier
Beyond the many apparent satellite upgrades Starlink-1 is set to debut, the mission will also mark no less than three (or possibly even four) reusability milestones. Falcon 9 booster B1048 has been selected by SpaceX to support Starlink-1 and has already completed three successful orbital-class missions since it debuted in July 2018. Assuming all goes well, B1048 will thus become the first SpaceX booster to launch (and land) four times, an excellent – if increasingly unsurprising – step forward for Falcon 9’s Block 5 upgrade. Falcon 9 B1048 will attempt its fourth landing – this time on drone ship Of Course I Still Love You (OCISLY) – shortly after launch.
Designed to enable up to 10 reuses of each Falcon booster, the successful completion of Starlink-1 will place Block 5 just one reuse away from the halfway point to proving its 10-reuse design. While Block 5 has yet to materialize any tangible improvements in booster turnaround time, an imminent ramp in Starlink launch cadence will hopefully give SpaceX plenty of opportunities to start making progress on that front.
Starlink-1 is also set to mark the inaugural launch of a flight-proven Falcon 9 fairing, essentially putting a bow on the bulk of SpaceX’s challenging fairing recovery and reusability development. Unintuitively, Starlink-1’s fairing previously supported Falcon Heavy Block 5’s April 209 launch debut, meaning that both halves traveled both faster and higher than any halves that previously attempted recovery.
Simultaneously, both halves splashed down in the Atlantic Ocean with no attempt to catch them, meaning that SpaceX has apparently successfully refurbished the fairings despite the fact that their recovery was more or less the worst-case scenario.
Last but not least, Starlink-1 will also mark the first time SpaceX’s just-finished fairing recovery ship GO Ms. Chief attempts to catch a Falcon 9 fairing, as well as the first time two fairing recovery ships – Ms. Tree & Ms. Chief – attempt to catch both halves of a Falcon fairing after launch. The twin recovery vessels departed Port Canaveral, Florida a few days ago and arrived at their recovery point ~750 km (460 mi) downrange on November 10th.
Finally, thanks to the fact that Falcon 9’s fairing is flight-proven, Starlink-1 will additionally feature the first attempted recovery (catch or splashdown) of a flight-proven Falcon fairing. SpaceX could scarcely fit in another milestone if it wanted to go out of its way to do so.
Falcon 9 is scheduled to lift off no earlier than 9:56 am ET (14:56 UTC), November 11th. Weather is 80% GO and SpaceX has a backup launch window around the same time on November 12th with a 70%-favorable weather forecast.
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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
