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SpaceX tests ceramic Starship heat shield tiles on Starhopper’s final flight test
Although it flew under the radar in the heat of the moment, SpaceX’s final Starhopper test flight – completed on August 27th – happened to include an unusual bit of test hardware – eight (give or take) ceramic Starship heat shield tiles.
On the same day that Starhopper lifted off for the last time and completed a 150m (500 ft) hop test in South Texas, SpaceX Cargo Dragon capsule C108 wrapped up its third successful orbital mission, reentering Earth’s atmosphere with a complement of several ceramic Starship heat shield tiles. This marked the first known orbital test of Starship hardware on the same exact day that Starhopper was putting nearly identical tiles through an entirely different kind of flight test.
Tile #8
As pictured above, a group of seven hexagonal tiles appeared on Starhopper’s exterior around August 14th. Those tiles were black (somewhere between matte and glossy), featured indents likely related to manufacturing or mounting, and appeared to be attached to Starhopper by way of a white, marshmallow-esque adhesive. Altogether, each tile bears a striking resemblance to two-thirds of a hexagonal Oreo cookie, arranged in a grid and sort of squished onto Starhopper.
Aside from the seven tiles attached directly to the exterior Starhopper’s liquid methane tank, at least one additional tile was spotted on a small mount structure welded to the bottom of one of the vehicle’s tripod legs. Likely just five or so meters (~15 feet) away from Starhopper’s Raptor engine, that particular tile would have been subjected to intense heating and sound (i.e. thermal and acoustic shock) during the Starship testbed’s final ~60-second flight.
It is a busy morning at the Starship Hopper launch site!
⚙️/⬇️/? : https://t.co/zWfJdm095L pic.twitter.com/KL6azUo4Rd— ?Trevor Mahlmann (@TrevorMahlmann) August 26, 2019
In fact, the Raptor-facing tile may have been put through an even more stressful test than intended, owing to the apparent difficulties Raptor SN06 had during its minute-long performance. Whether the result of shoddy installation and plumbing or an issue with Raptor itself, the engine demonstrated some unusual behavior as it throttled down for Starhopper’s landing, turning its largely transparent exhaust plume into a massive flamethrower.
Raptor or adjacent plumbing also appeared to suffer some kind of leak just before landing, producing significant flames that clearly scorched Starhopper’s rear and destroyed a huge amount of cabling in the area, visible just below the hexagonal tile group. Likely related, several views of the test showed a COPV flying off – clearing having suffered an anomaly that broke it free from Starhopper – around the same time as the vehicle ended its hop with a hard landing.
Tiles on Starhopper?
This does raise the question: why were prototype Starship heat shield tiles attached to Starhopper, a distinctly suborbital prototype that never reached a speed of ~20 m/s (40 mph), let alone orbital velocity? Without actually performing a reentry, what value could be derived? Taken alongside the almost-simultaneous orbital reentry test of four separate Cargo Dragon-shaped tile prototypes, the likely explanation is actually pretty simple and serves as an excellent example of SpaceX’s agile approach to aerospace development.
The three separate tile locations (Starhopper’s tank and leg and Cargo Dragon’s heat shield) all delivered extremely unique test conditions to their respective ceramic tile prototypes. Attached directly to a cryogenic fuel tank, Starhopper’s seven-tile set was almost certainly meant to test methods of mounting a heat shield on a stainless steel tank. Those tiles went through several thermal cycles from propellant loading, spent weeks unprotected in hellish South Texas heat and humidity, and suffered through the shock of flight and a hard landing.
The lone Raptor-adjacent tile was subjected to heating from a live engine just a dozen or so feet away, along with all the brutal acoustic stresses associated with it, perhaps including an unintended fire during anomalous engine performance. Cargo Dragon C108’s four ceramic tiles were far closer to a full-fidelity test, although they were shaped for and attached to the spacecraft in a manner that minimized their one-to-one relevance to Starship’s likely shield design. Regardless of the level of the test’s fidelity, they still managed to survive a true-to-life orbital reentry with nothing more than some soot stains from Dragon’s normal PICA-X shield material.
In short, SpaceX (hopefully successfully) demonstrated a large number of Starship’s ceramic tile design requirements before an actual flight-capable Mk1 or Mk2 Starship is ready for comparable testing. Of course, the most important tests will involve a combination of all Starship-relevant conditions (Raptor engines, cryogenic tank-wall mounting, hexagonal tiles, weeks spent in space, orbital reentry, etc.) for a full-fidelity reentry campaign with an actual Starship prototype. SpaceX CEO Elon Musk says those tests could begin very soon – as early as October 2019 – and the suite of piecemeal Cargo Dragon and Starhopper tests that prototype tiles have already completed will undoubtedly grease the wheels towards that ambitious goal.
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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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
