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[Update: not so fast…] SpaceX retires brand new Starship to focus on orbital launch buildup
SpaceX has moved its newest finished Starship straight from its Boca Chica, Texas factory to a nearby ‘rocket garden,’ all but guaranteeing an early retirement.
Built as the first of several planned backups to Starship SN15, which debuted a number of significant upgrades in April and May, it appears that Starship serial number 16 (SN16) has been retired to a display stand after its only sibling became the first full-size prototype to successfully survive a launch and landing on May 5th. SN16 actually reached its full height before SN15 lifted off and was more or less complete by May 10th. Since then, the prototype has remaining more or less untouched, seemingly waiting for SpaceX to decide its fate in lieu of Starship SN15’s major success.
Ultimately, with SN16 now sitting side by side with SN15 at what will likely become a sort of open-air SpaceX museum, it appears that the company has made up its mind.
Once SN15 touched down, safed itself, and remained standing after a near-flawless 10 km (6.2 mi) test flight, questions about Starship SN16’s fate almost immediately arose. From the outside looking in, replicating that spectacular success was judged a logical next step by many in light of the four variously unsuccessful Starship launches that closely preceded it. If SpaceX could land SN15 and then successfully recover an entirely separate Starship weeks later, it would all but eliminate the possibility that – much like several different failure modes popped up on SN8 through SN11 – the first total success was a fluke.
Given that SN16 was quite literally completed within days of SN15’s launch and landing, it seemed an almost foregone conclusion that SN16 would fly. For a few weeks, it even looked possible that SpaceX would attempt to reuse Starship SN15. However, SpaceX appeared to decide against reuse and rolled its first flight-proven full-size Starship from the pad to a plot of land expected to host a future ‘garden’ for retired SpaceX rockets.
After its three intact flight-proven Raptor engines – valuable in their own right – were removed, Starship SN15 was seemingly retired around May 26th. Three weeks later, SN16 has (quite literally, to an extent) followed in SN15’s footsteps, bowing to an apparently virulent desire within (or at least atop) SpaceX to launch Starship into space and orbit as quickly as possible. From that perspective, assuming enough data was gathered by Starship SN15 to encourage significant confidence that its survival wasn’t an ‘accidental success,’ reusing Starship SN15 or flying Starship SN16 would only really benefit a line of prototypes that had just made itself obsolete.
Much like Starship SN15 debuted “hundreds of improvements” across the board, CEO Elon Musk revealed that Starship SN20 would also involve a “major technology [revision]” to produce the first prototypes with full heat shields, a stage separation mechanism, vacuum-optimized Raptor engines, and more. In fact, that process may still be ongoing, which could explain why SpaceX has yet to begin assembling Starship SN20 – various subsections and components of which have already been completed in Boca Chica.
Confirmed by Musk in March, SpaceX has been working towards a target of no later than July 2021 for Starship’s first orbital test flight. Given that Starship SN20 has yet to enter the assembly phase and that Super Heavy “Booster 2” (BN3) will be the first of its kind and likely need to pass several major tests on its own, July is no longer within reach. Of course, an orbital launch attempt anytime in 2021 would still be a staggering achievement for SpaceX, beating the likes of Vulcan Centaur, New Glenn, and Ariane 6 to the punch despite Starship’s superior performance, unprecedented design challenges, and grander ambitions.
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
