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SpaceX Starship prototype speeding towards launch pad for first Raptor engine tests
SpaceX continues to build full-scale Starship hardware at a jaw-dropping pace, testing the limits of rocket production to complete the fifth full-scale prototype in three months and prepare the ship for its first Raptor engine ignition tests.
This time around, SpaceX CEO Elon Musk is fairly confident that the latest Starship prototype – known as serial number 3 (SN3) – has the best chance yet of becoming the first full-scale ship to pass acceptance tests and kick off a Raptor engine static fire campaign. A step further, if said static fires go according to plan, Starship SN3 could become the first full-scale vehicle of its kind to perform controlled flight tests.
Starship SN3 will thus attempt to follow in the footsteps of Starhopper and hopefully avoid an unintentional launch debut similar to the one that destroyed Starship SN1 earlier this month. A successful Starship flight test powered by three Raptor engines would be a major bode of confidence in the upgraded rocket factory SpaceX is building in South Texas. Musk recently made it clear that setting up the machine that builds the machine is currently just as important as individual Starship tests. Thankfully, given that SpaceX is already managing to build colossal rocket prototypes in a matter of weeks for what has to be pennies on the dollar, all with a team of just a few hundred people, the next Starship test campaign is likely just a week or two away.
On March 9th, Musk revealed that the Starship SN2 prototype – an incomplete tank repurposed for specific testing – had passed a proof test with flying colors. SN2’s brief test campaign managed to prove that SpaceX had already fixed the weak point believed to have destroyed Starship SN1 less than two weeks prior. Featuring a redesigned engine section and thrust structure (or “thrust puck,” per Musk), the Starship SN2 test tank survived pressure testing and even made it through engine thrust simulations with the help of an industrial-scale hydraulic jack.
While the tank passed its tests looking no worse for wear, the last-second design changes SpaceX had to make to rapidly perform thrust structure verification testing made it impossible to repurpose for any alternative use. Starship SN2 has thus been relegated to the scrapyard, a technical necessity but also a sign of both the program’s high rate of progress and low prototype cost. SpaceX’s Boca Chica factory has already more or less completed a new engine section for Starship SN3 and is probably just a day or two away from integrating it with the rest of the steel vehicle.
Less than three days after SpaceX’s brand new vehicle assembly building (VAB) had a single, small Starship section sat inside it, two additional sections of Starship SN3’s tank section departed their fabrication tents and were stacked on March 18th. Less than a day later, the third segment of the rocket’s tank section capped off the two that were stacked the day before. Once those three stacked sections are fully welded together to form a single, cohesive piece of steel, it will need to be stacked atop the aft tank dome and thrust structure to effectively complete Starship SN3’s tank section.
After all four sections are joined, technicians will need to install a few internal parts, but most remaining work mainly involves running wiring and plumbing for power, communications, propellant management, and pressurization. More likely than not, SpaceX replicate its Starship Mk1 and SN1 testing strategy and bring Starship SN3’s tank section to the launch pad for proof testing as soon as outfitting is complete. If the rocket passes proof testing, SpaceX can – for the first time – install functional Raptor engines on a full-scale Starship prototype and begin a crucial wet dress rehearsal (WDR) and static fire test campaign.
At the current rate of progress, SpaceX could easily be ready to transport Starship SN3 to the pad within the next week, give or take. Stay tuned for updates as the company works to quickly finish SN3 integration and move onto the testing phase.
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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
