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SpaceX set for rocket recovery first after US military satellite launch
A SpaceX Falcon 9 is set to become the first commercial rocket to attempt to land after an operational launch for the US military, potentially paving the way for an even more significant milestone somewhere down the road.
Featuring brand new booster B1060 and a new upper stage and payload fairing, Falcon 9 is scheduled to launch the US military’s third upgraded GPS III satellite (PS III SV01) no earlier than (NET) 3:55 pm EDT (19:55 UTC) on June 30th. While it will be the second time a Falcon 9 Block 5 rocket has lifted off from Cape Canaveral Air Force Station (CCAFS) Launch Complex 40 (LC-40) with a GPS III satellite in tow, the mission will mark a critical first for SpaceX and the US military. For the first GPS III mission, the US Air Force somewhat inexplicably required SpaceX to expend the new Falcon 9 booster assigned to the December 2018 launch.
The US military never offered a technical explanation for why Falcon 9 couldn’t land after launching a ~3900 kg (~8600 lb) GPS III SV01 to a medium orbit but could, for example, land after launching a dozen metric tons and two NASA astronauts. Regardless, the US Air Force Space and Missile Systems Command (SMC) has decided that SpaceX can now attempt to land Falcon 9’s first stage during the company’s second GPS III launch. A step further, on the eve of the mission, SMC has revealed that it may even be opening up to the idea of reusing SpaceX boosters on future military launches.
Falcon 9 B1060 has a 15-minute window to launch the GPS III SV03 spacecraft on Tuesday, June 30th. Meanwhile, drone ship Just Read The Instructions (JRTI) – heading out to sea to prepare for B1060’s attempted landing – recently passed just a few miles from drone ship Of Course I Still Love You (OCISLY) – returning to Port Canaveral after SpaceX decided to delay its ninth Starlink v1.0 launch from June 23rd. 25th, and 26th to the first or second week of July.
JRTI arrived at its post ~630 km (~390 mi) East of the Florida Coast on June 29th, around 36 hours before liftoff.
Drone ship JRTI was recently recommissioned after extensive upgrades and a several thousand mile move from Port of Los Angeles, California to Port Canaveral, Florida, ultimately supporting its first East Coast booster landing and recovery barely three weeks ago. If successful, B1060 will become the first orbital-class booster ever to land after an operational US military launch, excluding a number of Space Shuttle missions in the 1980s.
According to reporting by Space News’ Sandra Erwin, it’s unlikely that SpaceX will reserve Falcon 9 booster B1060 – assuming a successful landing – for reuse on a future US military launch. Given that SMC appears to have even stricter requirements than NASA’s Commercial Crew (CCP) and Commercial Resupply Services (CRS) programs, it’s safe to assume that – like NASA – the US military will only initially allow booster reuse if said booster has only flown missions for the agency. Given that Falcon 9’s next known US military launch (GPS III SV04) is NET “late 2020” and that there “are currently no plans to use a previously-flown booster on any future GPS launches”, it’s unlikely that SpaceX will waste a perfectly good booster by saving it for 6-18+ months.
Regardless, as usual, SpaceX will host an uninterrupted webcast of the launch. Tune in around 15 minutes prior to catch SpaceX’s third launch of the month and 11th of the year.
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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
