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SpaceX Starship rolls to Texas launch pad ahead of next big test campaign
SpaceX’s first flightworthy Starship prototype has rolled to its South Texas launch pad just hours after it was welded together and is now preparing for several critical tests it must pass before it can be deemed ready for liftoff.
Fabricated and assembled with incredible speed at SpaceX’s growing Boca Chica, Texas Starship factory and test facilities, the vehicle SpaceX moved to the launch pad earlier today (Feb 25) is meant to become the first full-scale Starship prototype to take flight. Following in the footsteps of the Starship Mk1 prototype, deemed too shoddy to launch and pressurized to destruction in November 2019, the first serial build (SN01) of an improved line of Starship prototypes appears to have taken less than a month to go from first weld to the launch pad.
CEO Elon Musk took to Twitter earlier today to confirm the Starship SN01 tank section’s move to the launch pad, further noting that the tank assembly is now preparing for Raptor engine installation ahead of a static fire test. According to NASASpaceflight.com, SpaceX wants to complete that static fire and launch Starship SN01 as early as next month – a seemingly improbable target that just got much more likely with the rocket’s tank section already at the launch pad. Most importantly, however, the speed with which SpaceX has been able to assemble and prepare Starship SN01 suggests that even if things go wrong or plans change, another completed prototype could be ready to head to the pad just a few weeks from now.
On February 25th, SpaceX CEO Elon Musk posted a screenshot taken from a livestream created by SPadre earlier that day, noting that Starship will soon have engines installed in preparation for a critical static fire test.
Under the cover of an incredibly thick fog bank, Starship SN01 was lifted onto a Roll Lift transporter and carefully moved from its factory facilities to SpaceX’s Boca Chica launch pad at 4:30 am PST. Around 7:30 am PST, the giant rocket tank was lifted onto the pad’s Starship mount and technicians have been working to connect SN01 to the ground systems ever since.
Built out of stainless steel, Starship SN01’s tank section – referring to the combined liquid oxygen tank, liquid methane tank, and engine section – stands about 30m (100 ft) tall and likely weighs at least 30-45 metric tons (~70,000-100,000 lb) as it stands. While SN01 is clearly missing its pointed nose section (‘nosecone’) and flaps, among other parts, its tank section has been moved to the launch pad to perform tests that don’t involve the ship’s aerodynamic properties.
Starship Mk1 – SpaceX’s first attempt at a full-scale prototype – was fabricated and stacked piece by piece over the course of nine months before its tank section – looking almost identical to SN01 – first rolled to SpaceX’s launch pad on October 30th, 2019. Three weeks later, it was intentionally pressurized until it popped after engineers concluded that its production quality was too low for a flight test attempt to be worth the effort. On the other hand, the first of Starship SN01’s steel rings was definitively completed in the last week of January 2020, quite possibly just four weeks before the completed tank section was rolled to the same launch pad.
With that kind of speed, it’s no surprise that Musk says SpaceX will start stacking Starship SN02’s tank section this week. Intriguingly, Musk also stated that Starship SN02 would have three Raptors installed, avoiding the original question’s focus (SN01). As such, it appears that Starship SN01 may only have one Raptor installed for a static fire test and would be unlikely to ever fly if that were the case. It’s possible that after two highly successful (and explosive) pressure tests of smaller Starship test tanks that were completed last month, SpaceX still wants to perform a similar pressure test with a fully-integrated, full-scale Starship tank section to confirm that the smaller tank results carry over.
Whether SN01 is still destined for flight, it’s safe to say that Starship SN01 tank testing could begin in a matter of days — SpaceX currently has early-morning roadblocks indicative of such testing scheduled from February 29th to March 2nd. SpaceX is likely to kick off by filling SN01 with water to check its tanks for leaks, followed by liquid nitrogen – chemically neutral but still incredibly cold. After that, SN01 would likely graduate to Raptor engine installation and a wet dress rehearsal (WDR) with liquid oxygen and methane before moving on to a static fire attempt, if all goes well.
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
