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SpaceX’s first thrice-flown Cargo Dragon returns from orbit with Starship tiles intact
After a flawless reentry and splashdown on August 27th, SpaceX’s first thrice-flown Cargo Dragon spacecraft completed its latest mission, arriving in Port of Los Angeles aboard SpaceX vessel NRC Quest.
The successful completion of NASA Commercial Resupply Mission 18 (CRS-18) means that SpaceX is officially the first and only company to launch the same orbital spacecraft three times. Meanwhile, Cargo Dragon capsule C108 also happened to mark the first known orbital flight test of hardware that may be destined for use on SpaceX’s next-generation Starship launch vehicle, taking the shape of four ceramic tiles installed as part of its ablative PICA-X heat shield.
Cargo Dragon’s CRS-18 mission successfully lifted off on its way to the International Space Station (ISS) on July 25th and was berthed to the ISS roughly two days later, completed its delivery of several tons worth of cargo. During the launch webcast, one of the SpaceX hosts noted that black tiles visible on Cargo Dragon’s heat shield – distinct beside its silvery water-sealed PICA-X tiles – were prototypes of a ceramic heat shield material being analyzed for possible use on Starship.
CEO Elon Musk confirmed this after the first launch attempt was scrubbed by weather, stating that SpaceX was looking into the use of “thin [ceramic] tiles” to protect Starship’s windward (atmosphere-facing) half during orbital reentries. Prior to this development, Musk had proposed and posted videos of real-world tests of a steel Starship heat shield concept, in which extra energy could be wicked away by ‘transpiring’ liquid oxygen or methane through microscopic holes on each tile’s leading edge.
Although particular species of stainless steel do feature exceptionally high melting points and structural characteristics at ultra-high temperatures (> 1400C/2500F), some unofficial analyses of the numbers involved indicated that the density and weight of steel could rapidly hinder any benefits derived from its use as a heat shield. Musk appeared to confirm this in his July 24th comments, indicating that thin ceramic tiles on the windward side and nothing on the leeward side of Starship looked like the “lightest option”.
Indeed, ceramics were so prevalent on the Space Shuttle – the only semi-routinely reusable space plane ever developed – in large part because they can be made spectacularly light. The Shuttle’s main ceramic tiles had a density of 155 kg/m³ (9 lb/ft³), about five times denser than styrofoam or roughly the same density as freshly-fallen snow and balsa wood. Stainless steel is about 50 times denser, on average. To use Musk’s own 2017 turn-of-phrase, adding thick steel tiles to Starship’s already-steel skin was probably a bit too much like “building a box in a box”, whereas prioritizing ceramic tiles presumably cuts the shield’s mass by a factor of something like 20-100+.
Although the Shuttle did make extensive use of ceramic shielding, that shielding – specifically, reinforced carbon-carbon (RCC) tiles about as fragile as the material people are familiar with – and a mixture of organizational ineptitude infamously lead to the death 7 NASA astronauts and was generally a nightmare to deal with. SpaceX certainly won’t have to deal with the foam and solid rocket boosters that a lot of Shuttle’s ceramic problems can be traced to, but the company will likely be laser-focused on producing a form of ceramic shielding that isn’t nearly as fragile as Shuttle-derived materials.
The fact that Cargo Dragon’s ceramic Starship tile prototypes appear to be almost completely unscathed after their first orbital reentry is an excellent sign that SpaceX is making progress in the materials design and certification department, or is at least taking flight-testing extremely seriously.
SpaceX CEO Elon Musk is expected to provide an official update on Starship no earlier than late September, a presentation that will likely include details about the route the company is taking with the massive spaceship’s heat shielding.
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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
