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SpaceX begins installing ‘Mechazilla’ arms designed to catch Starship rockets
After a busy few weeks spent attaching Mechazilla’s two rocket-catching arms to a carriage-like backbone, SpaceX has begun the process of installing the integrated structure on Starbase’s ~450 ft (~135m) tall Starship ‘launch tower’.
Once complete, SpaceX will have created a first-of-its-kind launch tower designed to stack and manipulate Starships and Super Heavy boosters in far worse conditions than cranes can tolerate and catch both rocket stages out of mid-air. Referred to internally as ‘chopsticks,’ the giant pair of steel arms will join a third ‘quick disconnect’ (QD) arm tasked with stabilizing Super Heavy during Starship installation and feeding the reusable upper stage power, comms links, and some 1200 tons (~2.65M lb) of propellant.
Together, they will enable SpaceX to attempt Starship’s first orbital test flights and, perhaps one day, help the next-generation rocket launch in almost any weather and achieve unprecedentedly rapid reusability. But first, SpaceX needs to finish installing and rigging the massive structure.
Beginning on August 29th after less than three months of assembly, SpaceX installed Starship’s QD arm on the launch tower. About a month later, the QD arm was mostly finished off with the installation of a claw-like grabber meant to stabilize Super Heavy and is now only missing its namesake quick-disconnect (an actuating device that will connect Starship to the pad and rapidly disconnect at liftoff). Assembly of the last three major components of Mechazilla – a carriage-like structure and two giant arms – began in July and, much like the tower’s QD arm, wrapped up about three months later.
On October 6th, SpaceX began combining those three main parts by flipping the carriage – a bit like a spine and ribcage with ‘skates’ that attach to rails on the launch tower’s legs – vertical and staging it on a temporary support structure. Both ‘chopsticks’ were then flipped into the correct orientation and moved into position with separate cranes for installation on the carriage/backbone. From start to finish, that process took around 9-10 days and culminated with the installation of two giant cylindrical pins with built-in bearings on October 14th and 15th. By the 17th, both cranes had detached from the assembled Mechazilla arms and carriage were, leaving it precisely balanced against the support structure and more or less freestanding.
Just a few days later, after a last-second attempt on October 19th was called off as night fell, SpaceX tried again on the 20th and completed the first step of installing Mechazilla’s catch arms on the launch tower without apparent issue. Likely weighing several hundred tons, Starbase’s largest crane lifted the massive structure up and over an adjacent launch mount and then carefully inched it closer to the tower. Prior to the lift, SpaceX technicians staged 12 ‘skates’ on three of the tower’s four legs – two upper and two lower skates per leg.
Here's one with the QD arm back. If QD engaged, chopsticks can't get past. Elon said only need for "ship mate". Chopstick sequence:
1. Lift SH onto OLM
2. Rise, swing to side, lower, grasp SS
3. Rise above SH
4. Deploy QD arm and claw
5. Lower SS onto SH
6. At launch, open wide! pic.twitter.com/iRRfXQ5uEn— LunarCaveman (@LunarCaveman) October 1, 2021
Once the carriage was in the right position, workers were able to wrap its upper arms around the tower and began connecting the carriage to those skates with several more large pins. It’s unclear how much progress was made in the hours after the lift but it appears that the carriage has been attached to maybe four or five of six upper skates. Work continued well after nightfall, meaning that it will likely only take a few days to complete all 12 connections. However, even after all skates are installed, the carriage, arms, and skates will still be hanging by crane or winch.
To truly install the structure on the tower, SpaceX will have to finish installing and rigging thousands of feet of steel cable that – via a complex system of pulleys – will connect to powered ‘drawworks’ that will support the carriage and catch arms and lift the assembly up and down the tower like an elevator car. The catch arms and carriage will also need to be mated with a giant ‘cable carrier’ (already staged on the tower) that will connect the structure to ground and control systems.
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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
