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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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Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
