News
SpaceX rolls out Starship, stacks world’s largest rocket, and aces Starlink launch hours apart
In 15 hours, SpaceX has rolled a new Starship to its South Texas launch and test facilities, reassembled the world’s largest rocket, launched Starlink satellites to orbit, and recovered a reused Falcon 9 booster in port.
The burst of activity began around sunset at SpaceX’s Starbase rocket factory in Boca Chica, Texas when a new orbital-class Starship prototype left its ‘nest’ for the first time. SpaceX rolled the Starship – known as Ship 25 – a few miles down the highway to its nearby launch and test facilities, where workers connected it to a large crane and waited for daylight.
Around 9 am CDT the following day, October 20th, SpaceX lifted Ship 25 onto one of two Starship test stands, where it will eventually attempt to complete several qualification tests. While Ship 25 was still suspended in mid-air, the Starbase launch pad’s orbital launch tower began lifting a different prototype, Ship 24, into the air with a pair of giant ‘chopsticks’ – mechanical arms designed by SpaceX to replace one of the largest mobile cranes in the world.
Then, while it was stacking Ship 24 on top of Super Heavy Booster 7 and installing Ship 25 on a test stand, a Falcon 9 rocket carrying 54 new Starlink satellites lifted off from Cape Canaveral, Florida. Minutes prior, SpaceX finished craning a reused Falcon 9 booster off one of its drone ship landing platforms in a port ten miles south.
Starlink 4-36 was SpaceX’s 48th launch of 2022 and 56th launch in less than 12 months, so its Falcon launch program simply doesn’t have time to waste. Drone ship Just Read The Instructions (JRTI) returned to port with Falcon 9 booster B1069 about 12 hours before the rocket was transferred from the ship’s deck to a stand on SpaceX’s Port Canaveral dock space. The company will now be able to retract B1069’s legs and complete any necessary booster and drone ship refurbishment, ensuring that both will be ready for their next missions in the near future.
Back in Texas, SpaceX is scheduled to begin thoroughly testing a fully-stacked Starship rocket for the first time as early as Monday, October 24th. Ship 24 was reinstalled on Booster 7 for that purpose after SpaceX disassembled the pair for several days, possibly due to forecasts of high winds. The test campaign is expected to begin with the first full wet dress rehearsal (WDR) of a two-stage Starship, meaning that the rocket will be fully loaded with thousands of tons of liquid methane and oxygen propellant and run through a simulated launch countdown that ends just before engine ignition.
If successful, SpaceX will likely restart Booster 7 static fire testing and continue to work its way up to the first simultaneous ignition of all 33 of its Raptor 2 engines. If the pair survive WDR and static fire testing, SpaceX could begin preparing the same rocket for Starship’s orbital launch debut.
If significant issues arise during testing, SpaceX could choose to retire Ship 24 and/or Booster 7 and move on to a new and improved pair: likely Ship 25 and Booster 8 or 9. Already complete, Super Heavy Booster 8 has been sitting untouched at Starbase’s launch site for weeks, making it uncertain whether SpaceX actually intends to test or use the prototype. Booster 9 is just one stack away from completion, at which point it will be ready to begin proof testing. According to CEO Elon Musk, B9 features significant improvements that will make it more resilient to mid-flight Raptor engine failures. It could also be the first Super Heavy booster with no hydraulic system, thanks to a new version of Raptor that replaces hydraulic thrust vectoring with a battery-powered alternative.
Starship S25 could kick off its own proof testing as early as next week. Unlike Ship 24, Ship 25 went straight from the factory to a test stand that has been modified with six hydraulic rams. Those rams will simulate the thrust of six Raptor 2 engines (up to ~1400 tons or 3.1M lbf) while the Starship is simultaneously loaded with cryogenic liquid oxygen and/or nitrogen, combining peak mechanical and thermal stresses into one test. Once Ship 25 is done, it will be rolled back to the factory for Raptor engine installation and will eventually return to the pad for static fire testing.
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.”
News
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
