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SpaceX wants to attempt Starship booster catch during first orbital launch
An updated document submitted by SpaceX to the US Federal Communications Commission (FCC) has revealed details about the company’s plan for the first Starship booster ‘catch’ attempt.
The document follows a different batch submitted by SpaceX in June 2021, when the company detailed its plans for Starship’s orbital launch debut as background while requesting permission from the FCC to use Starlink dishes for in-flight telemetry. A month earlier, a different request focused on more standard telemetry antennas had already revealed that even if the mission went perfectly, Starship would not fully reach orbit on its first attempted spaceflight. It also confirmed that SpaceX had no intention of recovering the upper stage or Super Heavy booster assigned to Starship’s launch debut – a sort of implicit acknowledgment that success was (then) not expected on the first try.
Twelve months later, SpaceX has submitted an updated overview of Starship’s orbital launch debut in a new request for permission to use multiple Starlink dishes on both stages. While most of the document is the same, a few particular details have changed about Super Heavy’s role in the mission.
This time around, SpaceX says that the Super Heavy booster will “will separate[,] perform a partial return[,] and land in the Gulf of Mexico or return to Starbase and be caught by the launch tower.” Prior to this document, SpaceX’s best-case plans for the first Super Heavy booster to launch never strayed from a controlled splashdown in the Gulf of Mexico – potentially demonstrating that it would be safe to attempt booster recovery on the next launch but all but guaranteeing that the first booster would be lost at sea.
A year later, SpaceX appears to be a bit more confident and wants to leave itself the option to attempt to recover the first Super Heavy booster that launches. However, the company has dramatically complicated the process of testing early Super Heavy and Starship recovery (and thus reuse) by fully removing traditional and predictable landing legs and designing its latest prototypes such that the only way they can be recovered in one piece is with a giant mechanized ‘launch tower’ nicknamed Mechazilla.
The launch tower and its three mobile arms will play a crucial role in all aspects of orbital Starship launches. The first arm swings out to brace Super Heavy for Starship installation and connect the upper stage to power, propellant supplies, and other launch pad utilities. A more exotic pair of arms nicknamed ‘chopsticks’ has a more complex job. On top of using the chopsticks to lift, stack, and demate Starships and Super Heavy boosters and almost any weather and wind conditions, SpaceX wants to use the arms as an incredibly complex and precarious rocket recovery system.
For a booster or Starship “catch,” the rocket will approach the tower, enter the gap between the splayed arms, hover in place while the arms close around it, and eventually come to rest on hardpoints that appear to offer about as much surface area as a coffee table. Based on a simulation of the process shown by Elon Musk, calling it a “catch” is a misnomer, as the arms will mainly move in one dimension (open/close) and can’t actually ‘grab’ the rocket in any real sense. As built and shown, they are closer to a tiny fixed landing platform capable of minor last-second positional adjustments.
Eventually, the chopsticks could shave a small amount of time off of post-recovery processing, removing the need for a crane (or the same arms) to attach to a landed booster or ship. They could also shave off the dry mass required for landing legs, though all interplanetary ships will still need legs. However, they will also inherently make proving their own efficacy a nightmare. By all appearances, the current recovery mechanisms on the arms and the landing hardpoints on ships and boosters mean that a ‘catch’ could fail if either stage is more than a foot or two from a perfect bullseye or rotated a few degrees in the wrong direction. With the method SpaceX has devised, even the tiniest error could easily end with a massive, pressurized, partially-fueled rocket destroying the chopsticks and plummeting a few hundred feet to the ground, guaranteeing an explosion that could damage surrounding infrastructure or start fires that might.
In the event of larger anomalies during a landing attempt, Starship or Super Heavy could accidentally impact the launch tower, damaging or even outright destroying the skyscraper-sized structure. Ultimately, the immense risk posed by any catch attempt means that unless SpaceX has miraculously gotten the design of everything involved nearly perfect on its first try, the company will have to be extraordinarily cautious and expend a large number of ships and boosters to avoid rendering its only Starship launch tower unusable.
At least to some extent, SpaceX likely knows this and Super Heavy would likely need to be in excellent health and perform perfectly during the ascent and boostback portions of its launch debut to be cleared for a catch attempt. Ultimately, Starship’s first orbital launch could end up being even more of a spectacle than it’s already guaranteed to be.
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
