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SpaceX CEO Elon Musk hints that Starship’s ‘sweating’ metal heat shield is no more
In the latest entry of SpaceX’s ever-changing Starship design process, CEO Elon Musk has indicated that the nominally reusable orbital spacecraft has moved away from a liquid-cooled steel heat shield to something slightly more traditional.
This information came as a SpaceX engineer announced during Cargo Dragon’s CRS-18 webcast that the twice-flown spacecraft would mark the first orbital test of a ceramic heat shield tile meant for use on Starship’s windward side. This major design change comes as a significant surprise and seems likely to either delay Starship’s orbital debut or hinder its ultimate reusability, although Musk just as recently claimed that the spacecraft could reach orbit for the first time less than six months from now.
Testing a possible Starship windward side ceramic tile. Maximizing emissivity is best for conductive/particle heating. Nice thing about steel is that tiles can be very thin, unlike carbon fiber or aluminum airframe.— ln(e) (@elonmusk) July 25, 2019
Thin tiles on windward side of ship & nothing on leeward or anywhere on booster looks like lightest option— ln(e) (@elonmusk) July 25, 2019
Back in late-2018 and early-2019, Musk took to Twitter to announce that SpaceX was pursuing an exotic metallic heat shield that would be cooled in large part by flowing liquid methane through tiny holes on its exterior, effectively ‘sweating’ away energy and preventing steel tiles from melting.
Despite incontrovertible evidence that SpaceX performed some amount of significant testing on the hexagonally-tiled steel heat shield concept, Musk’s July 24th tweets indicate that the liquid-cooled heat shield is unlikely to ever be used on Starship. For unknown reasons, SpaceX is instead pursuing some sort of thin ceramic heat shielding to protect the entirety of Starship’s windward side (i.e. the side facing the atmosphere during reentry). A handful of the first flight-qualified ceramic tiles – shaped for Dragon instead of Starship – will be tested on Cargo Dragon during the spacecraft’s orbital mission and eventual reentry.
Of note, this is not the only major design change Starship has undergone in just the last few months. Speaking on May 30th, Elon Musk stated that the design of Starship’s landing legs/fins and actuating wings and flaps has changed significantly since SpaceX revealed the new tripod fins + canard wings configuration in September 2018. According to Musk, that change will (or at least should) not significantly impact Starship’s schedule.
In fact, per his July 2019 claims that the first full-fidelity Starship prototype(s) could begin test flights in September/October and reach orbit as early as December/January, the Starship/Super Heavy schedule has actually radically sped up in the first half of 2019. In December 2018, Musk stated that he believed Starship had a 60% chance of reaching orbit in 2020, let alone late-2019.
For Starship, the massive spacecraft’s heat shield is arguably its single most important component. A failure to ensure that the heat shield is unprecedentedly reusable and reliable – even in the face of ultra-high-velocity interplanetary reentries – will severely limit Starship’s ability to achieve its ultimate goals of enabling affordable access to space and building a sustainable city on Mars. Musk’s comment that ceramic tiles are just “a possible” Starship heat shield element further indicates that SpaceX has yet to firmly settle on a heat shield design, let alone qualify said shield for orbital flight or kick off the mass-production necessary to completely cover multiple Starship halves.
Admittedly, there is still some good news in this unfortunate development. Most notably, the fact that Starship will still be made of steel means that the non-metallic heat shield tiles can be extremely thin and light, as they can be more or less directly attached to Starship’s steel hull. Additionally, steel Super Heavy boosters may be able to get away with zero heat shielding thanks to the relatively high melting point and heat resistance of certain varieties of stainless steel.
So long as both of those characteristics remain true, it’s likely that it will still make sense for Starship/Super Heavy to be built entirely out of steel instead of something like aluminum or carbon composite. With any luck, Elon Musk will provide a detailed update on the status of SpaceX’s next-generation launch vehicle soon after Starhopper survives its first untethered flight test.
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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
