News
SpaceX rolls next Starship to the launch pad nine days after midair explosion
Update: Right on schedule, SpaceX has transported Starship serial number 15 (SN15) from its Boca Chica rocket factory to a launch and test site just down the road.
SN15’s pad arrival comes just nine days after Starship SN11 – the last in a batch of four first-generation prototypes – exploded in midair some 30 seconds before a planned landing. While minor, SN11’s midair failure was undoubtedly a step backward relative to Starship SN10, which (briefly) became the first full-size prototype to land in one piece less than a month prior. Both SN8, SN9, and SN10 made it further into their identical flight tests, leaving SN11 somewhat high and dry and putting extra pressure on Starship SN15.
After Starship SN8’s unexpectedly successful December 2020 test flight, in which the rocket made it just a dozen or so seconds away from soft landing after more than six minutes in flight, SpaceX made the decision to scrap Starship SN12 and kill SN13 and SN14 before assembly could begin. Effectively a gamble that SN8-SN11 would produce enough of a foundation for future testing to start off on, it’s hard to say if that gamble paid off.
All four Starship flights managed the extraordinary feat of more than four minutes of powered flight and spent two minutes free-falling like no rocket ever before them, but they also made it clear that both Raptor and autogenous pressurization (using gasified propellant to pressurize Starship’s tanks) are not quite mature enough for reliable launches and landings. Featuring “hundreds of improvements,” many of which were hopefully designed to tackle some of those shortcomings, it’ll be up to Starship SN15 to attempt to carry that torch forward – and, with any luck, further than any prototype before it.
After SpaceX unexpectedly used a Monday road closure to deliver its first custom-built rocket fuel tank, plans for the next Starship test campaign and launch have begun to solidify.
Most importantly, the initial schedule for Starship serial number 15’s (SN15) test campaign appears to be clear. As of Wednesday, April 7th, road closures filed by SpaceX suggest that the first of a new group of upgraded Starships will be transported from build site to launch pad as early as 11am-1:30pm CDT (UTC-5) on Thursday, April 8th. Once SN15 is installed on ‘Suborbital Pad A,’ SpaceX means to waste no time and has scheduled a 7am-12pm road closure on Friday.
As usual, the weekend will once again be free of any testing or activity requiring road closures, but SpaceX has already cordoned off noon to 8pm on Monday and Tuesday (April 12/13) to continue putting its newest Starship prototype to the test.
While road closure notices no longer offer any real detail, a few basic details can still be inferred. The April 7th closure, for example, warns that SpaceX only plans to intermittently close the highway but not Boca Chica Beach – implying that the window poses no threat to residents or beachgoers. Historically, that means that something will be transported – likely Starship SN15, in this case.
On Friday, SpaceX has scheduled a full five-hour closure of both the highway and beach, implying that some kind of testing is likely on the books. The same goes for Monday and Tuesday, but with longer eight-hour closures.
More likely than not, assuming Starship SN15’s pad transport and launch mount installation goes smoothly, SpaceX will use the shorter Friday window to complete a basic ambient pressure test – filling the rocket with ambient-temperature nitrogen gas to test its complex plumbing and propellant tanks for leaks. Continuing the IFF (if and only if) string, SpaceX will then spend the weekend preparing Starship SN15 for a cryogenic proof test and thrust structure stress test – simulating the thrust of three Raptors after loading the rocket with extremely cold liquid nitrogen (LN2).
SpaceX will then most likely spend another one or two days inspecting Starship SN15 and removing the hydraulic ram used to simulated thrust from the launch mount the ship is installed on. Once SN15 and its mount are cleared, SpaceX can move into static fire testing. Given that – according to CEO Elon Musk – SN15 will debut Raptor engines with an unknown degree of upgrades, it’s reasonable to assume that SpaceX will take things relatively slowly and possibly perform more than one static fire test even if the first attempt is a total success.
If not and SpaceX continues to push hard like it did with SN10 and SN11, it’s not out of the question that Starship SN15 will be ready for its first launch attempt around Friday, April 16th or Monday, April 19th. Stay tuned for updates as SpaceX hopefully rolls the rocket to its Boca Chica, Texas launch site later today.
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.”
News
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
