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SpaceX Starship aborts Raptor engine test, briefly catches fire
Update: On March 15th, SpaceX got within milliseconds of Starship serial number 11’s (SN11) first Raptor engine test but suffered an abort just before full ignition, briefly leaving the rocket on fire.
Around 12:26 pm CDT, after an otherwise nominal static fire flow, Starship SN11 momentarily ignited one or two of its three Raptor engines’ preburners, referring to a central component that burns cryogenic liquid propellant into gas that’s ready for combustion. As with all preburner tests, intentional or otherwise, the end result looked a bit like a weak static fire and produced a small but visible amount of flame and thrust. Unlike intentional preburner tests, the static fire abort seemingly ignited something hidden inside Starship SN11’s and appeared to burn for at least another 30-40 seconds.
Raptor has proven itself to be an extremely durable engine, up to and including surviving visible onboard fires during actual Starship flight tests. Nevertheless, depending on the source of SN11’s post-abort fire and what it may or may not have burned or damaged, it’s no surprise that SpaceX ended testing for the day instead of quickly trying again, which it’s done several times prior. If the fire was largely harmless, SpaceX has already distributed notices suggesting a second attempt could happen as early as 6am to 12pm CDT (UTC-5) on Tuesday, March 16th. If more time is needed, SpaceX has the rest of the week to conduct any necessary repairs or swap out SN11’s Raptor engines.
Public documents show that SpaceX has plans to static fire and launch its latest Starship prototype within a two-day period that could begin later today.
SpaceX shipped Starship SN11 from its Boca Chica, Texas rocket factory to test and launch facilities a mile down the road on March 8th, less than five days after Starship SN10 exploded minutes after touchdown. The very next day, SpaceX completed ambient-temperature proof testing, filling Starship with benign nitrogen gas to check for leaks and verify system health. Two days after that, Starship SN11 appeared to complete a several-hour cryogenic proof test – swapping nitrogen gas for its supercool liquid form – without issue.
Despite the seemingly successful ‘cryo proof,’ something prevented a subsequent static fire test planned on March 12th before any attempt could be made, delaying the next attempt until after the approaching weekend. An agreement between SpaceX, Cameron County, and the state of Texas currently prevents road closures (and thus rocket testing) on weekends falling between Labor Day and Memorial Day, rules meant to preserve some level of public access to Boca Chica Beach.
As a result, unless SpaceX is already ready to launch (it has waivers for three such weekend closures for launch attempts), the company has to wait until Monday even if a minor issue fixable in hours or a day or so scrubs Friday test plans. While inconvenient, it’s worth noting that the existence of that public beach and the strong regulations that protect its public domain is likely one of the only reasons the general public can still get as close as they can to SpaceX’s Boca Chica ‘Starbase’.
For whatever reason, that road closure agreement does still mean that SpaceX will (in theory) be able to test and launch any day of the week from May 31st to September 6th, save for a few holidays, effectively boosting the number of opportunities by 40% for those 14 weeks. Until then, SpaceX is doing everything it can to take full advantage of the five days a week it is allowed to test Starship prototypes. N
Notably, although Starships SN8 and SN9 both hit a few weeks of technical and regulatory snags while preparing for their high-altitude launch attempts, SpaceX has been gradually speeding up that process over time. Starship SN10, the first prototype of its kind to land in one piece, took just 33 days to go from pad arrival to liftoff and spent just 8 days between its first static fire and launch attempts. The same feats took Starship SN8 77 and 50 days, respectively, with SN9 splitting the difference at 43 days from transport to liftoff and 28 days between its first static fire and launch attempts.
Road closure requests, a safety warning for residents, and a Temporary Flight Restriction (TFR) filed with the FAA all suggest that SpaceX’s current plan is to attempt Starship SN11’s first triple-Raptor static fire between 6am and 12pm CDT on Monday, March 15th. If that test goes almost perfectly, SpaceX wants to turn the rocket around for a 10 km (6.2 mi) launch attempt on Tuesday, March 16th – the very next day. Given the past performance of high-altitude Starship prototypes, that target is decidedly ambitious and likely to incur delays, but it still reveals the true scope of SpaceX’s goals even at this early stage of development.
If Starship SN11 does manage to launch within a few days of its first static fire attempt, SpaceX would still crush SN10’s 33-day record by a factor of three. Stay tuned for updates on Monday’s possible Starship static fire and rapid Tuesday turnaround attempt
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
