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SpaceX wants to launch its next Starship ASAP
Contrary to recent comments from CEO Elon Musk, SpaceX appears to be forging ahead at full speed in a bid to launch its next Starship ASAP.
Known as Starship serial number 10 (SN10), the prototype is the latest in a series of four ships SpaceX has ultimately set aside from low(er)-altitude development testing. Starship SN8 – the first functional prototype to reach its full height – debuted on December 8th, 2020, blowing expectations out of the water with a failure mere seconds before the end of a more than six-minute flight test. According to Musk, had a fuel tank remained properly pressurized from start to finish, SN8 could have very well stuck the landing on the first try.
Two months later, after the better part of two weeks of licensing and static fire test delays, Starship SN9 attempted to carry the torch forward but suffered an unrelated failure slightly earlier than SN8’s. One of two Raptor engines failed to ignite for a high-risk flip and landing burn, causing the Starship to impact the ground even more violently than its predecessor. It’s unclear why the ill-fated Raptor failed to ignite or why the engine that did ignite appeared to experience a major failure shortly thereafter but rocket propulsion is extraordinarily difficult – and Raptor is near – or at – the end of that scale.
While SpaceX obviously hasn’t spun around and fixed a complex Starship propulsion issue in a matter of days, Musk eventually revealed his opinion that he, his engineers, or some combination of both “were too dumb” to exploit one obvious way to mitigate the risk of engine failure during flip and landing. That ‘obvious’ tweak: reignite all three of Starship’s available landing engines, not just two.
In theory, with a fast-enough response time, Starship could ignite all three Raptors, perform a supercharged flip from a belly- to tail-down orientation, and selectively shut off one of the engines based on the data from what is essentially a midair static fire. In the event that all three engines are performing nominally, Starship would shut down the least useful engine (i.e. the Raptor with the least leverage) for a gentle two-engine landing burn.
That said, the ship landing burn has a clear solution. My greatest concern is achieving good payload to orbit with rapid & full reusability, without which we shall forever be confined to Earth.— Elon Musk (@elonmusk) February 5, 2021
Impressively, Musk said that SpaceX would implement those changes immediately, attempting the first three-engine reignition as early as Starship SN10’s launch debut. Already at the launch pad when Starship SN9 lifted off, SpaceX revealed plans to launch SN10 as early as February 2021 at the end of SN9’s test flight webcast.
A few days prior to SN9’s ill-fated test flight, Musk had also stated that Starship SN10 would perform a “cryoproof” test and only then have its three Raptor engines installed. Instead, in an apparent change of plans, SpaceX installed Starship SN10’s Raptors – SN39, SN50, and an unknown third engine – from February 5th to 7th.
On Sunday, local longtime resident Mary (aka BocaChicaGal) received an official safety alert from SpaceX, signaling plans for an explosive Starship test of some kind as early as Monday, February 8th. Historically, those overpressure safety warnings have only been distributed when SpaceX is preparing for a Starship static fire attempt. In other words, it’s possible that Starship SN10’s very first test could be a live wet dress rehearsal (WDR) with flammable liquid oxygen and methane propellant. If that WDR goes well, SpaceX could move directly into a one, two, or three-engine static fire.
Of course, as SN9’s lengthy test period rubbed in, Starship is still in the prototype stage and is far from a mature system, meaning that it’s always safer to expect delays than an on-time performance. To be clear, it’s far more likely that SpaceX will perform a familiar “cryo proof” test with non-flammable liquid nitrogen – perhaps hoping to complete a cryoproof and static fire in the same test window.
Either way, stay tuned for updates and follow along with NASASpaceflight’s excellent live coverage in the event that SpaceX really is prepared to static fire Starship SN10 between 9am and 6pm CST (UTC-6) on Monday.
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
