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SpaceX's workhorse rocket is almost halfway to reaching ambitious reusability goals
Thanks to a recent cluster of major milestones, SpaceX’s family of Falcon 9 and Heavy rockets are rapidly nearing the halfway point along the path to several ambitious goals for booster and fairing reusability.
Back in the early 2010s, SpaceX’s CEO Elon Musk’s original dream was to make Falcon 9 and Falcon Heavy 100% reusable, meaning that the company would need to find ways to reliably recover boosters (first stages), payload fairings (or Dragon spacecraft), and the rocket’s upper (second) stages. The concept of Falcon 9 second stage reuse actually survived all the way into 2018 before Musk ultimately conceded defeat, accepting that Falcon 9 and Heavy simply didn’t offer the performance necessary to make full reusability a worthwhile investment. The concept, however, still lives on in SpaceX’s next-generation Starship launch vehicle.
This does mean Falcon rockets will never be fully reusable, but it’s still up to SpaceX to decide how far they’ll push the envelope with the rockets’ existing reusable hardware. At the moment, it appears that a vast majority of Falcon rockets will be able to be routinely recovered and reused, capitalizing on the fact that Falcon 9 and Falcon Heavy boosters already represent some 50-75% of the cost of building each two-stage rocket. While Falcon upper stages and Dragon trunks will never be reused, both booster and payload fairing reuse are rapidly approaching their own unique halfway points on the path to ambitious reusability targets.
Shortly after SpaceX’s January 29th Starlink V1 L3 launch, carrying the third batch of 60 upgraded v1.0 satellites to orbit, twin fairing recovery ships GO Ms. Tree (formerly Mr. Steven) and Ms. Chief teamed up for their second-ever simultaneous fairing catch attempt. Ms. Chief – only active since November 2019 – reportedly just barely missed her first successful catch, while Ms. Tree managed to snag one of the Falcon 9 fairing halves in her massive net – the ship’s third successful catch.
Worth an estimated $3M per half according to CEO Elon Musk, Falcon 9’s payload fairing represents approximately 10% of the rocket’s total manufacturing cost. Made out of a carbon fiber and aluminum honeycomb composite material, fairings also also takes a disproportionate amount of time and space to produce – primarily due to their large size (a school bus could comfortably fit inside a fairing) and the need for commensurately large curing ovens. That composite honeycomb structure also makes it relatively easy for Falcon payload fairings to suffer from corrosion when dunked in seawater, leading SpaceX to the seemingly bizarre solution of installing giant arms and nets on ships.
Catching fairings has proven to be incredibly unforgiving, however, and SpaceX has simultaneously worked to make its Falcon fairings much more waterproof (and thus resistant to corrosion) while keeping them as light as possible. In fact, SpaceX’s first fairing reuse occurred less than three months ago and used two halves that previously landed in the Atlantic Ocean, demonstrating that difficulties reliably catching fairings will not stand in the way of reuse.
Ms. Chief missed her January 29th catch attempt, she still managed to fish her fairing half out of the ocean, while Ms. Tree’s successfully-caught half means that SpaceX ultimately recovered the full Starlink V1 L3 fairing. With a little luck, that recovered fairing will launch again in the near future.
Five for 5
Simultaneously, SpaceX is making excellent progress along the path to airliner-like rocket reusability. In November 2019, on the same Starlink mission that debuted flight-proven fairings, Falcon 9 booster B1048 became the first SpaceX rocket to launch (and land) four times. Less than two months later, Falcon 9 B1049 doubled down on that reusability milestone, becoming the second booster to launch and land four times, followed by Falcon 9 B1046 just 12 days later. Falcon 9 B1046 was (intentionally) destroyed after its fourth launch, precluding a fourth landing attempt, but it emphasizes just how confident SpaceX is in Falcon 9’s Block 5 upgrade.
Designed to allow each Falcon 9 and Heavy booster to perform a minimum of 10 launches and landings, the Block 5 upgrade is potentially just a few weeks away from reaching the halfway point along the path to that ambitious reusability design goal. Speaking at the NASA Kennedy Space Center earlier this month, a SpaceX engineer recently revealed that a Falcon 9 booster would conduct its fifth launch in support of a Starlink mission (either Starlink V1 L4 or L5) scheduled no earlier than (NET) mid-to-late February.
Pictured above, Falcon 9 booster B1048 – the first to launch four times – is the likeliest candidate for the first fifth flight of a SpaceX rocket. If the booster’s reuse goes as planned, it’s safe to say that Falcon 9 B1049.4 will follow closely on the heels of its predecessor with its own fifth-flight milestone. All things considered, SpaceX’s workhorse rocket is rapidly approaching the zenith of its theoretically-achievable reusability.
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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
