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SpaceX installs rocket-catching arms on Starship’s Florida launch tower
SpaceX has installed a pair of rocket-catching arms on a tower meant to support the first East Coast launches of its next-generation Starship rocket.
The company has been building the second of several planned Starship launch sites for more than three years. Ironically, work on that pad began before the company started building the pad that will actually support Starship’s first orbital launch attempts. Located a stone’s throw from the Gulf of Mexico in Boca Chica, Texas, the first iteration of SpaceX’s Starbase orbital launch site (OLS) is nearly complete and could host Starship’s orbital launch debut in a matter of months. SpaceX began constructing Starship’s Texas launch site in earnest in late 2020.
SpaceX broke ground on Starship’s first Florida OLS in late 2019. But the company went on to radically redesign the rocket and its ground systems, forcing it to entirely abandon about a year of work by the end of 2020. In late 2021, SpaceX finally began constructing the second iteration of Starship’s first Florida pad. OLS #2 is still colocated at Kennedy Space Center’s LC-39A pad, which SpaceX leases from NASA. Pad 39A is the only site currently capable of launching SpaceX’s Crew Dragon astronaut spacecraft or Falcon Heavy rocket, which has complicated its plans to use the same pad for Starship.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
Because of NASA’s trepidation at the thought of a Starship failure indefinitely delaying SpaceX from completing its Crew Dragon or Falcon Heavy contracts for the agency, the company deprioritized Starship’s Florida pad, slowing progress. SpaceX has, nonetheless, made significant progress. In 13 months, SpaceX has created foundations, modified one of Pad 39A’s giant spherical tanks to store cryogenic methane, installed miles of plumbing, built and assembled a second skyscraper-sized Starship launch tower, installed the legs of the pad’s ‘orbital launch mount’ or OLM, installed a water deluge system at the base of the OLM, assembled most of the OLM’s donut-like mount offsite, constructed a new supersized storage tank, and delivered a forest of smaller storage tanks.
Most recently, SpaceX finished building a giant pair of steel arms, transported the arms to Pad 39A, attached them to a wheeled carriage, and installed the structure on Starship’s Florida launch tower. SpaceX employees have nicknamed the arms “chopsticks,” and those arms are integral to what CEO Elon Musk calls “Mechazilla”. Mechazilla refers to the combined launch tower and arms, which SpaceX has designed to grab, lift, stack, and fuel both stages of Starship.
Mechazilla’s simplest part is a third arm that is vertically fixed in place but capable of swinging left and right. The swing arm contains plumbing and an umbilical device that connects to Starship’s upper stage and supplies propellant, gas, power, and connectivity. The tower’s ‘chopsticks’ are far more complex. Giant hinges connect the pair of arms to a carriage that grabs onto three of the tower’s four legs with a dozen skate-like appendages. Those skates are outfitted with wheels, allowing the carriage to roll up and down tracks built into the tower’s legs.
The carriage, which also carries the complex hydraulic systems that allow its bus-sized arms to move, is connected by steel cable to a heavy-duty “draw works” capable of hoisting the multi-hundred-ton assembly up and down the tower. Once finished, the Florida tower’s arms will be able to precisely lift, maneuver, stack, and de-stack Starship and Super Heavy even in relatively windy conditions. At some point in the future, SpaceX may attempt to use its towers and chopsticks to catch Starships and Super Heavies out of mid-air and speed up reuse.
Set to be the largest, most powerful, and most capable rocket in history, Starship is primarily built out of steel and designed to be fully reusable. SpaceX has a long way to go to demonstrate that the 120-meter-tall (~390 ft) rocket can reach orbit, let alone be reused. In theory, though, Starship is meant to launch up to 150 metric tons (330,000 lb) to low Earth orbit (LEO) while still allowing for the recovery and reuse of its suborbital Super Heavy booster and orbital Starship upper stage.
If SpaceX can achieve those figures, Starship will be the most capable rocket in history even with the major performance penalties that full reusability entails. Saturn V, the most capable rocket ever flown, was fully expendable and could launch up to 118 metric tons (~260,000 lb) into orbit.
Due to NASA’s concerns about the risks that Starship launches from Pad 39A could pose to SpaceX’s Falcon and Dragon operations at the same site, the company’s next-generation rocket may have to wait until 2024 or 2025 for its first Florida launch. With the first Florida Mechazilla now close to completion, it’s likely that Pad 39A’s Starship launch site will be ready and waiting as soon as NASA gives SpaceX the green light.
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
