At the same time as SpaceX is assembling hardware and manufacturing dozens of Raptor engines for Starship’s inaugural orbital test flight, it’s also preparing for what will follow.
Last week, a local photographer captured photos of one of the many dozens of deliveries that arrive at SpaceX’s Boca Chica Starship factory every month – notable this time around because of package labels that reference a “heat shield” and “mini bakery.” In any other case, it would’ve been just another nondescript delivery – likely carrying the latest batch of the ceramic Starship heat shield tiles SpaceX currently manufactures in Cocoa Beach and Cape Canaveral, Florida.
However, as the photographer (@StarshipGazer) that captured the images noted, that Florida Starship heat shield factory just so happens to be colloquially known as “The Bakery” by the SpaceX team that runs it.
As the nickname would suggest, The Bakery is one of two main Florida-based facilities tasked with turning raw materials into the black, hexagonal heat shield tiles that have begun to spread across the exterior of Starship prototypes. The June 7th delivery of a “mini bakery” strongly implies that SpaceX has now begun to build out some limited capacity for heat shield tile production at Boca Chica itself – under the main Starship factory roof, in other words.
While the number of tiles present has only really begun to grow in the last six or so months, SpaceX has been building, testing, and refining Starship’s heat shield technology for more than two years. SpaceX’s custom-built ceramic tiles made their first public appearances in July and August 2019, first launching into orbit on a Cargo Dragon spacecraft and later tagging along on Starhopper’s spectacular 150m (~500 ft) hop a few weeks later. Dragon went on to reenter and splash down in the Pacific Ocean without issue about a month later, effectively marking the first successful orbital reentry of (part of) a Starship heat shield.
With Starship SN8 heralding the arrival of full-size prototype flight tests in the last few months of 2020, SpaceX began to substantially increase the number of tiles installed on Starships, jumping from a handful to hundreds within a few months. Although Starship SN15’s successful May 5th, 2021 launch and landing likely means it will never fly, Starship SN16 was outfitted with more than a thousand tiles (and SN15 flew with almost as many). While those tiles have essentially zero experience acting as a heat shield on Starship prototypes, launching them on suborbital test flights still subjects those heat shield installations to major thermal and mechanical stresses similar to (or worse than) what Starship will need to withstand during launch and after reentry.
Given that at least a few of the ceramic tiles installed on each prototype have invariably shattered at some point during testing, it’s unclear exactly how successful those coupon tests have been. Unlike the Space Shuttle, which also relied almost exclusively on catastrophically fragile ceramic heat shield tiles, Starship’s tiles are mounted directly to its hull and that hull is made out of steel instead of an aluminum frame. In theory, Starship’s structure can thus withstand – and remain functional – at temperatures approaching 800°C (1500°F), whereas the Shuttle’s heat shield had to keep the vehicle’s aluminum structure below ~180°C (360°F).
Of course, Starship has yet to even attempt to survive an orbital-velocity reentry with some 10,000 ceramic heat shield tiles mounted directly to its steel skin. If successful, SpaceX’s ultra-simple design could give Starship massive advantages over the Shuttle, which ultimately proved to be more dangerous than traditional crew capsules and about as expensive as a similarly capable expendable rocket. But Starship’s heat shield has its work cut out for it to prove that the vast spacecraft is truly up to the challenge of orbital reentry and safe, reliable reuse.
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
