News
SpaceX nails first Starship landing weeks after NASA Moon lander contract [updated]
Update: For the first time ever, SpaceX has successfully landed a Starship prototype in one piece and kept the giant steel rocket intact throughout the post-flight safing process. The fun, however, is just beginning.
First and foremost, excluding simpler Starship prototypes SN5 and SN6, Starship SN15 is the first prototype to actually complete that safing process. In theory, safing a liquid fuel rocket is a fairly novel task given so few rockets are actually reusable. It involves detanking, purging plumbing and Raptor engines, deactivating explosive flight termination system (FTS) charges, and more generally verifying the health and status of all systems. With a rocket as complex as Starship, SpaceX is treading new ground with almost every step, meaning that even something as seemingly benign as keeping a rocket intact after a successful landing carries risk (e.g. SN10).
SN5 and SN6 also had a rough go of things even after surviving their landings and it took anywhere from 12 to 24+ hours before SpaceX declared either vehicle safe to approach. The degree to which Starship SN15’s launch and landing was a success is hinted at by the fact that SpaceX had teams approaching the rocket less than four hours after touchdown. Still, more than six hours after landing, those SpaceX teams were still working to transport a crane to the site after rolling a self-propelled modular transporter (SPMT) within the vicinity of Starship SN15.
Eventually, that crane will lift SN15 onto a custom jig installed on said SPMT and take its flimsy, unreliable legs out of the equation. At that point, the Starship prototype will well and truly be safe and secure and ready for whatever else SpaceX may have in store, be that a quiet future as a permanent display or the program’s first reuse. Stay tuned for updates as SpaceX secures the historic rocket and prepares to reopen the highway to the public.
In perhaps the best possible news that could have followed NASA’s historic SpaceX Moon lander contract, the company has successfully landed a Starship prototype in one piece – without it exploding – for the first time ever.
In spite of unusually unreliable live views from the rocket’s onboard cameras, possible due to SpaceX using Starlink as a Starship antenna for the first time, Starship serial number 15 (SN15) touched down at the very edge of the landing pad a bit less than seven minutes after lifting off from SpaceX’s Boca Chica launch facilities.
Like all four of its predecessors, Starship SN15 ignited all three of its Raptor engines and gradually ascended to an altitude of ~10 km (6.2 mi), shutting down one engine every 90 or so seconds along the way. At apogee, after briefly hovering under the power of one engine, the last Raptor cut off and Starship angled over onto its belly and simply fell back to Earth.
Using four large steel ‘flaps,’ the rocket controlled its descent like a skydiver down to approximately 500m (~2000 ft) above the ground and ignited two or three of its Raptors to aggressively flip into a tail-down orientation. SN15 then slowed all the way down under the thrust of two of those engines for an exceptionally soft – albeit inaccurate – landing on a concrete pad.
Much like SN10, which caught on fire shortly before touchdown, landed intact, and then exploded after that fire continued to burn, Starship SN15 appeared to catch fire shortly after landing and a significant fire burned for at least five minutes before disappearing. As a result, be it intentional on behalf of SpaceX or simple luck, SN15 did not explode after touchdown. The Starship also landed far more gently than Starship SN10, which effectively pancaked its tiny legs and embedded its skirt directly into concrete.
Ultimately, Starship SN15’s fully successful launch and landing is an immense achievement after four failed – but data-rich – attempts and confirms that SpaceX is on the right track. Perhaps even more importantly, the success is quite possibly the best conceivable vindication for NASA after the space agency made the shocking decision to return humanity to the Moon with SpaceX’s Starship.
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
