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SpaceX shrugs off Starship implosion and gets back to work as Elon Musk talks next steps
SpaceX has shrugged off the catastrophic implosion of its first serial Starship prototype (SN01) and begun stacking sections of the next ship (SN02) while CEO Elon Musk talks next steps for the next-generation rocket program.
By now, it’s reasonably clear that the demise of Starship SN01’s tank and engine section came as a bit of surprise to SpaceX itself, while it assuredly shocked non-employees and local residents who happened to be watching on eve of the anomaly. CEO Elon Musk himself appears to have expected different results, noting that – thankfully – the likely source of the Starship’s unforeseen failure had already been determined.
Despite the apparent setback, it appears that SpaceX won’t have to wait long at all to continue its uniquely ‘hardware-rich’ Starship test campaign. With a workforce now several hundred strong and a great deal of hands-on and strategic experience gained from building Starships Mk1 and SN01, SpaceX is now practically churning out parts for future Starship SNxx prototypes. Most notably, Starship SN01’s predecessor is potentially just a few days away from being stacked into a finished tank section, hinting at the almost unfathomably speed that SpaceX is able to build full-scale vehicles even in early days of the program.
Three days after Starship SN01’s spectacular implosion and unintentional ‘launch’, SpaceX CEO Elon Musk took to Twitter to share a video captured by local Boca Chica Village resident ‘bocachicagal’ and posted by NASASpaceflight.com. Attached above, Mary’s video offers an incredibly vivid view of the rocket’s violent demise while further revealing the apparent location where the failure started – Starship SN01’s engine section and thrust structure.
Confirming suspicions, Musk quickly implied that the Starship’s failure originated in or around its thrust structure (‘thrust puck’), further noting that Starship SN02 – already in the middle of production – would be “stripp[ed]…to [the] bare minimum to test the thrust puck to dome weld.” In essence, it sounds like Starship SN02 will become SpaceX’s third intentional “test tank”, following in the footsteps of two small Starship tanks built and pressurized to failure to verify the quality of Starship manufacturing.
Starship SN02’s thrust structure design already appears to be a departure from SN01’s apparently unsuccessful iteration. Given that it was already partially completed before Starship SN01 failed during testing, it’s possible that SpaceX will attempt to reinforce the SN02 thrust structure, but the company may have already implemented upgrades before its engineers had the benefit of hindsight from February 28th’s test.
Regardless of what happens to Starship SN02, the fact that SpaceX is apparently building full-scale, (mostly) functional Starship tank sections from raw materials to the launch pad in a matter of a few weeks is incredibly encouraging for the next-generation rocket development program. As an external observer, it’s certainly disappointing to see an impressive piece of rocket hardware shredded in an evening after weeks of work, but that speed – and SpaceX’s willingness to accept failures at the scale of SN01 – suggests that each prototype is almost unfathomably cheap. Unofficial estimates peg the cost of SN01-like Starship prototypes at just several million dollars apiece, while the cost of the raw steel itself is so low that it might as well be negligible.
Even if it takes SpaceX 5-10 SN01-class failures to mature its South Texas rocket factory into a reliable machine and get to a point of stability and confidence with suborbital Starship flights, the total cost of that trial and error is comically insignificant relative to almost any other rocket development program in history. To be clear, SpaceX might benefit from going a little slower and refining Starship’s prototype design, but it’s impossible to know from an armchair. For now, the best available advice is to simply enjoy the show and view each potential test failure as just another small step along the path to Mars.
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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
