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SpaceX fully stacks Starship rocket for the first time in six months
For the first time in more than six months, SpaceX has stacked both stages of its next-generation Starship rocket, creating the largest and most powerful launch vehicle ever fully assembled.
It’s not the first time. SpaceX has conducted three other ‘full-stack’ Starship demonstrations: once in August 2021 and again in February and March 2022. But earlier this year, SpaceX (or at least CEO Elon Musk) decided to give up on the Starship upper stage and Super Heavy booster prototypes that had supported all three of those prior tests and, at one point, been considered a candidate for the rocket’s first orbital launch attempt. Booster 4 and Ship 20 were consigned to a retirement yard by June 2022.
By then, SpaceX had already begun testing the new favorites for Starship’s orbital launch debut: Super Heavy Booster 7 (B7) and Starship 24 (S24). Almost exactly six months after the start of that busy period of testing, both prototypes recently reached the point where SpaceX was confident enough in their progress to combine the two for the most challenging phase of Starship testing yet.
After an aborted predawn attempt on October 11th, SpaceX technicians worked out some mystery kinks in crucial infrastructure located at Starship’s first (nearly) finished orbital launch pad in Boca Chica, Texas. As part of a cart-before-horse gamble made by CEO Elon Musk that has seen SpaceX entirely remove legs from all recent Starship and Super Heavy prototypes in the hope that it will one day be able to catch the building-sized rocket stages out of mid-air, the company has built a launch tower ~145 meters (~475 ft) tall and outfitted it with three giant robotic arms. Two of those arms are identical and linked together, forming a sort of claw that could one day close around hovering rockets to preclude the need for landing legs. A simpler third arm swings in and out to connect Starship’s upper stage to the launch pad’s power, propellant, and gas supplies.
The ‘chopsticks,’ as they’re known, have another even more important purpose: assembling Starship rockets at the launch pad. Thanks to their sturdy connection to a tower with a foundation sunk deep into the Boca Chica wetlands and a design that forgoes a hanging hook or jig for giant arms, they are far less sensitive to winds than the immense crane otherwise required to stack Starship on top of Super Heavy. Sitting a stone’s throw from the Gulf of Mexico, storms and high winds are not exactly uncommon.
Around sunset on October 11th, SpaceX had better luck on its third attempt and was able to move the arms into place under Ship 24. Weighing 100 tons or more (~220,000+ lb) and measuring nine meters (~30 ft) wide and ~50 meters (~165 ft) tall, the Starship was then slowly lifted about 80 meters (~250 ft) off the ground, translated over to Booster 7, and lowered on top of the 69-meter-tall (~225 ft) first stage. After about two more hours of robotically tweaking their positions, the two Starship stages were finally secured together. With the arms still attached to Ship 24, SpaceX workers were able to approach the rocket and prepare to connect the swing arm’s quick-disconnect umbilical to Starship.
Since they began qualification testing in April and May 2022, Booster 7 and Ship 24 have each completed several cryogenic proof tests, eight ‘spin-primes’ of some or all of their Raptor engines, and several static fires of those same engines. Most recently, Ship 24 ignited all six of its Raptors, but the seemingly successful September 8th test was followed by more than a month of apparent repairs. Booster 7 last completed a static fire that ignited a record seven of its 33 Raptor engines – offering an idea of how much further SpaceX still has to go to finish testing the Super Heavy.
According to CEO Elon Musk, Booster 7 and Ship 24 will attempt Starship’s first full-stack wet dress rehearsal (WDR) once all is in order. The prototypes will be simultaneously loaded with around 5000 tons (~11M lb) of liquid oxygen and methane propellant and then run through a launch countdown. Diverging just before ignition and liftoff, a WDR is meant to be more or less identical to a launch attempt.
If the wet dress rehearsal goes to plan, SpaceX will then attempt to simultaneously ignite all 33 of the Raptor engines installed on Super Heavy B7, almost certainly making it the most powerful liquid rocket ever tested. Even if all 33 engines never reach more than 60% of their maximum thrust of 230 tons (~510,000 lbf), they will likely break the Soviet N-1 rocket’s record of 4500 tons of thrust (~10M lbf) at sea level. It would also be the most rocket engines ever simultaneously ignited on one vehicle. SpaceX will be pushing the envelope by several measures, and success is far from guaranteed.
It’s unclear if SpaceX will immediately attempt a full wet dress rehearsal or 33-engine static fire. Based on the history of Ship 24 and Booster 7 testing, it would be a departure from the norm if the company doesn’t slowly build up to both major milestones with smaller tests in the interim. At minimum, assuming WDR testing is completed without major issue, SpaceX will likely attempt at least one or more interim static fires with fewer than 33 engines before attempting the first full test.
If both milestones (a full WDR and 33-engine static fire) are completed without significant issue, there’s a chance that SpaceX could move directly into preparations for Starship’s first orbital launch attempt without unstacking the rocket. In the likelier scenario that some issues arise and some repairs are required, the path will be more circuitous but should still end in an orbital launch attempt late this year or early next.
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
