News
SpaceX ‘destacks’ Starship and Super Heavy: what’s next?
On February 14th, a bit less than four days after the giant rocket was used as a backdrop for CEO Elon Musk’s first Starship presentation in years, SpaceX lifted Starship off of the Super Heavy booster and lowered the upper stage to the ground.
In early August 2021, the same pair – Booster 4 and Ship 20 – were stacked for the first time for what was described as a fit test. After briefly forming the largest rocket ever assembled, the stages were ‘destacked’ about an hour later and would ultimately return to the Starbase factory for finishing touches. Six months, one ship cryoproof, three booster cryoproofs, and three ship static fire tests later, Ship 20 and Booster 4 were once stacked to form a massive 119-meter-tall (390 ft) tall rocket
This time around, Starship S20 was stacked on top of Super Heavy B4 not with a giant crane but with a ‘launch and integration tower’ that had been outfitted with three giant arms in the interim. The tower’s main pair of arms – ‘chopsticks’ – lifted the ~100-ton (~220,000 lb) Starship almost 100 meters off the ground, swung it over Super Heavy, and then carefully lowered the stages until Super Heavy was able to latch on.
On its first true demonstration, the complex process went far smoother than anyone outside of SpaceX expected, taking the tower just four or so hours from the start of the lift to hard mate. On February 10th, shortly before Musk’s Starship update, SpaceX even opened the ‘chopsticks’ to their full breadth, leaving all of Starship S20’s weight on Super Heavy B4 and also demonstrating what the pad will likely look like moments before the first orbital Starship launch.
On February 14th, after about four days fully stacked, the tower arms reattached to Ship 20, detached from Super Heavy, and lowered the Starship back to the ground, where it was eventually installed on a transport stand. Later that night and early the next day, SpaceX then moved the ship to a small concrete pad adjacent to the launch tower that’s believed to be meant for cryogenic proof testing. It’s unclear why SpaceX didn’t tested the fully stacked Starship given that both ship and booster have already completed multiple cryogenic proof tests (or wet dress rehearsals with real propellant) over the last few months.
It’s also unclear what more SpaceX can gain from testing Ship 20 on the ground, short of full-stack operations. On Sunday, February 13th, SpaceX did, however, begin filling the orbital launch site’s fuel tanks with liquid methane (LCH4) for the first time. It’s possible that instead of using Ship 20 to test any aspect of the relatively ancient Starship prototype, SpaceX will use Ship 20 to test the orbital tank farm – particularly the fuel side of the farm, which has yet to be tested. Perhaps after testing those systems on the ground, SpaceX will re-stack Ship 20 and Booster 4 and perform a similar wet dress rehearsal to test the tower’s plumbing, the ship-fueling arm, and the overall structural integrity of the fully-stacked rocket.
SpaceX has test windows tentatively scheduled on February 16th, 17th, and 18th.
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
