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SpaceX installs Mechazilla ‘claw’ on Starship launch tower
In the latest chapter of SpaceX’s Starship launch tower chronicle, the company has rolled a claw-like component to the pad and attached the device to the end of the tower’s newly installed Starship ‘quick disconnect’ arm.
A couple months ago, as SpaceX’s newest Starship prototype and first orbital-class vehicle first started to come together, it became clear that the company was implementing a significant design change starting with Ship 20 (S20). Contrary to five years of official Starship/BFR/ITS updates in which the ship (second stage) was expected to connect to pad ground systems (power, propellant, gases, communications) through the booster (first stage), Starship S20’s umbilical panel was instead conspicuously installed on the exterior of the ship’s hull.
Later on, in an interview and tweets, it became clear that the move away from longstanding ship-to-booster umbilical plans was part of CEO Elon Musk’s latest crusade: moving parts and complexity from Starship and Super Heavy to the launch pad at any cost. As a result, rather than adding a little extra weight to Super Heavy and likely reducing total payload to orbit by a percent or two for an extremely simple, protecting umbilical solution, SpaceX would instead have to implement a massive swinging arm that would reach out from Starship’s launch tower to connect it to pad systems.
While it’s hard to say if that decision and the major design changes it’s entailed will prove to be the right move, what is undeniable is how rapidly SpaceX turned on a dime to build and install the extremely complex mechanisms required. Assembly of what has come to be known as Starship’s tower quick-disconnect (QD) arm really only began in early July. Less than two months later, the finished base of that arm was lifted around halfway up the ~145m (~475 ft) tall launch tower and affixed to two sturdy hinges.
Three weeks later, a new and initially mysterious structure SpaceX began assembling around August 20th has also been finished and installed at the end of the QD arm – adding an actuating tip and apparent stabilization ‘claw’ to the already massive swinging structure. Aside from a bit of plumbing and wiring, the only thing that arm now appears to be missing is the actual quick-disconnect umbilical panel that will allow it to temporarily connect to Starships to deliver power, propellant, and connectivity.
That quick-disconnect mechanism will likely sit directly on top of the brand new claw and stand several meters tall to span the gap between the top of Super Heavy and Starship’s umbilical panel. Two large, actuating arms at the bottom of the arm’s tip will be able to grab Super Heavy, stabilizing the massive booster during Starship installation. Once firmly installed on top of the booster, the claw’s missing quick-disconnect mechanism will then move in to connect to Starship.
Of course, the quick disconnect arm is just one of – and the most minor of – three massive ‘Mechazilla’ arms destined for the launch tower. Just a few hundred feet to the west, SpaceX is hard at work fabricating and assembling two far larger tower ‘catch’ arms and the cradle-like frame they’ll eventually attach to. While they will also give SpaceX far more flexibility to stack and manipulate Super Heavy and Starship in high winds and less than optimal weather conditions, the ultimate purpose of those arms is to catch Super Heavy boosters (and, maybe one day, Starships). According to a new contributor to NASASpaceflight forums, those Mechazilla catch arms could be installed as early as “this weekend or next week.”
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
