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SpaceX CEO Elon Musk promises long-awaited Starship update next week
While running behind schedule in classic fashion, SpaceX CEO Elon Musk says he’ll present the first big Starship program update in two and a half years on Thursday, February 10th.
Additionally, as an apparent centerpiece for the event and update, Musk says that SpaceX will perform the second-ever “full stack” fit test with a Starship upper stage and Super Heavy booster.
Starship S20 and Super Heavy booster B4 were stacked for the first time in early August 2021, when both stages were still weeks or even months away from some degree of completion. Only months later did Starship S20 kick off a multi-month period of qualification tests, eventually becoming the first Starship prototype to successfully test a full six Raptor engines at once. Super Heavy B4, on the other hand, had an even more painful time for unknown reasons and only graduated to basic cryogenic proof testing in mid-December – more than four months later.
While the booster has had a full 29 Raptor 1 engines installed for months, the booster has yet to perform or attempt a single static fire of any number of those engines and hasn’t even managed a basic wet dress rehearsal with real liquid oxygen and methane propellant. Eventually, SpaceX did perform a handful of Booster 4 Raptor ignition tests, but those were almost more of a test of the launch pad than Super Heavy itself. The slow and minimal progress SpaceX has made testing Super Heavy B4 may actually be because of issues with orbital launch pad’s tank farm design. To this day, while the oxygen and nitrogen half of the farm are already storing thousands of tons of propellant and coolant, the fuel side of the same farm has yet to be filled with any methane. That makes thoroughly testing a Super Heavy booster much harder, though there are some obvious workarounds SpaceX could have made if it had really wanted to start proof testing Booster 4 as soon as possible.
In fact, it’s no longer clear if Ship 20 and Booster 4 will actually get to fulfill their original goal of supporting Starship’s first orbital (velocity) test flight. Nonetheless, they are still two giant, nearly completed stages that together form a full Starship ‘stack.’
Heading into 2022, SpaceX appears to be more focused on testing a somewhat extraneous part of the first orbital Starship launch site – “chopstick” arms installed on the launch tower. SpaceX’s current Starship ‘launch tower’ design centers around the need for three giant swinging arms – one to fuel and power Starship and the other two to lift, stack, and – maybe one day – catch Super Heavy boosters and ships. Had SpaceX stayed true to the original Starship/BFR/ITS design, the booster would have been fueled through the launch mount and Starship would have been fueled through a connection with the booster, significantly simplifying the tower.
In theory, replacing that design with a complex, building-sized umbilical arm might ultimately improve Starship’s nominal payload to orbit by a few percent. Additionally, using the even more complex “chopsticks” – a pair of giant arms – to lift and stack Super Heavy and Starship may actually be a smart design, as it could theoretically free SpaceX from the painful operational constraints imposed by large cranes.
By all appearances, that’s exactly what SpaceX plans to test next week. Starship S20 has already been moved adjacent to the launch tower and Super Heavy B4 has been attached to a crane (somewhat ironically) in preparation for its own move to the tower. For the first time, SpaceX might use the tower arms to lift Super Heavy onto the orbital launch mount, stabilize the booster, and then lift and stack Starship on top of it – all without a crane, in theory. Of course, insofar as SpaceX performed the first full-stack fit test with a crane, the tower’s lift/catch arms only really become irreplaceable once waiting a few days for safe lift conditions becomes a bottleneck for Starship launch operations.
Nonetheless, a successful stacking operation with those arms would be an impressive technical feat and demonstrate one of the things needed for all-weather Starship launch operations, even if it won’t leave SpaceX any closer to orbital test flights than it was before.
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
