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SpaceX almost drops finished Starship prototype – but it might be salvageable
Less than 48 hours after Starship SN8’s (successful) demise, something on or around a metal stand holding up SpaceX’s next completed Starship collapsed, causing the rocket to rapidly tilt sidewise and smash into the assembly building containing it.
Put simply, launch vehicles very rarely designed or expected to survive the kind of structural loads the fall and impact put Starship SN9 through and the early prognosis – prior to any up-close observation – was not not great. Weighing at least 50-70 metric tons (110,000-155,000 lb), any other rocket – and possibly even Starship itself – should have been damaged beyond repair from anything less than a minor bump.
Instead, Starship SN9 – fully assembled and perhaps just a few days away from a scheduled transport to the launch pad – shifted some 10 degrees (~10 m/30 ft) in a few seconds, seemingly coming to rest against scaffolding and the interior wall of SpaceX’s “high bay” assembly building. Had Starship fallen 180 degrees in the opposite direction, the results could have been catastrophic, potentially falling without a wall to stop it onto a Super Heavy booster section that could have had workers inside it. Luckily, the (hopeful) wakeup call was apparently benign, with SpaceX escaping loss of life or limb and avoiding any catastrophic damage.
Perhaps even worse, less than a day prior, a number of VIPs, SpaceX executives, investors, and even Elon Musk himself were touring the company’s Starship factory and standing feet away from SN9 itself. The most likely culprit of SN9’s fall may even be visible in photos taken by Steve Jurvetson, one such investor. In a few of those photos, Starship’s steel work stand – a staple of SpaceX’s Starship factories for ~18 months – appears to be precariously balanced upon five or six jacks with nothing more than gravity, SN9’s own mass, and some counterweights hold them together.
If those jacks – as they appear to be – weren’t bolted to the high bay’s concrete foundation or Starship SN9’s work stand, it could have been unintuitively easy to trigger a collapse like the one that occurred, perhaps requiring a minor bump with a forklift, a particularly extreme gust of wind, or some other kind of lateral force.
Regardless of why it happened, the end result was the same. Somewhat miraculously, Starship SN9 – as photos would soon show – appeared to be almost entirely unscathed, baring no obvious hull damage. The rocket’s fore and aft starboard flaps, however, were clearly crumpled. In fact, it’s possible that the crumpling of those largely empty, thin-skinned flaps acted just like the crumple zones designed into modern cars, essentially soaking up the energy of SN9’s impact with the wall and saving the rest of the rocket.
Still, the reality is that Starship SN9’s prognosis is still unlikely to be good, even if crumpling flaps seemingly prevented the rocket from becoming an unequivocal write-off. Depending on how strong SN9’s flaps were, the force of the impact could have easily been transferred into the structural hinges that connect them to Starship, warping internal stiffeners, the hinge mechanism itself, or even the entire curvature of its cylindrical steel hull.
If somehow limited to just the hinges or, even less likely, if the flaps took almost all of the impact energy, SN9 might be repairable. Even then, it’s unlikely that SpaceX will be able to hold to the schedule previously discussed on Teslarati, meaning that Starship SN9’s journey to the launch pad probably isn’t going to happen on Monday, December 14th. In the meantime, SpaceX will likely kick work on Starship SN10 – perhaps just a week or two behind SN9 – into full gear.
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
