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SpaceX’s record-breaking Falcon 9 booster returns to port
SpaceX’s latest record-breaking Falcon 9 booster has returned to port after completing its 13th launch and landing.
Falcon 9 B1060 lifted off for the first time in June 2020 with the US military’s third next-generation GPS III satellite safely cocooned inside a payload fairing. Unlike B1054, which the US Air Force required SpaceX to expend after their first GPS III satellite launch, the military allowed the company to attempt to recover booster B1060. That first successful recovery would unknowingly pave the way for a future of firsts and for an exceptionally productive career.
After GPS III SV03, B1060 occasionally supported commercial launches like Turkey’s Turksat 5A geostationary communications satellite and one of SpaceX’s own Transporter rideshare missions, but the booster has primarily been assigned to Starlink launches. In early 2021, the booster smashed SpaceX’s internal turnaround record and spent just 27 days on the ground between its fourth and fifth launches – halving the 54-day record set by NASA’s Space Shuttle, the only other orbital-class rocket that has ever been repeatedly reused.
B1060 has singlehandedly supported the launch of 550 Starlink satellites weighing more than 150 metric tons (>330,000 lb). Altogether, it’s helped launch more than 640 satellites with a collective weight around 165 tons. After its June 17th launch of Starlink 4-19, it’s also supported more orbital-class launches and landings – 13 – than any other Falcon booster, although Falcon 9 B1051 and B1058 are close behind with 12 launches apiece.
According to senior SpaceX engineers and executives that recently provided exclusive interviews to Aviation Week, the company no longer believes it will need to fly Falcon 9 boosters more than 15 times each, with the implication being that Starship – a next-generation, fully-reusable rocket – will soon begin to take over. Once a Falcon 9 booster (now likely to be B1060) completes its 15th launch, SpaceX intends to take it out of service and perform extensive inspections. If the data gathered is encouraging, it will certify all current and future Falcon boosters for 15 launches each.
It’s unclear if that 15-flight target is a firm cap or if exceptionally productive boosters like B1060, B1051, and B1058 will be allowed to continue pushing the envelope of reuse on future Starlink missions. At their current rate of launch, there’s a good chance that all three could complete 15 launches before the end of 2022. Slightly older and more tempermental, booster B1049 will reportedly be expended after its eleventh launch sometime later this year. If SpaceX’s plan is to full remove boosters from service after Flight 15, the company’s fleet of regularly flying boosters could plummet from 12 to 8 around around the end of 2022 or early 2023.
Following B1060’s June 21st port return, Falcon 9 booster B1061 sailed into port on SpaceX’s other East Coast drone ship on June 22nd after SpaceX launched Starlink 4-19 and Globalstar FM15 (B1061’s latest mission) 36 hours apart the weekend prior. That kind of rapid-fire cadence will likely become a regular occurrence in the second half of 2022 if SpaceX continues to launch an average of once per week, and the company is showing no signs of slowing.
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
