News
SpaceX’s first orbital-class Starship stretches ‘wings’ ahead of Raptor installation
SpaceX’s first orbital-class Starship prototype was spotted stretching its ‘wings’ on Sunday after completing a successful cryogenic proof test late last week.
While minor relative to almost any other testing milestone, the small step still serves as a reminder that the end goal of Ship 20’s test campaign is a launch on Super Heavy to orbital altitudes and velocities. If that launch goes more or less according to plan, Starship will then attempt to survive an orbital-class reentry for the first time, subjecting it to extreme heat and putting its many thousands of heat shield tiles through their most daunting challenge yet. Dozens of things could (and probably will) go wrong, while almost every system aboard must work perfectly to ensure that Starship makes it through reentry in one piece.
And even if all of that occurs as planned with no major issues, those same systems will still need to hold on for several more minutes to perform a freefall, engine reignition, flip, and landing maneuver that only two other Starship prototypes have completed. As it so happens, one of those crucial systems is Starship’s flaps.
Outfitted with actuators powered by Tesla Model 3/Y motors and a pair of Model S batteries, Starship’s four large ‘flaps’ are only capable of simple flapping motions. While they may look the part, Starship flaps aren’t wings and are specifically designed not to produce lift. Instead, in support of Starship’s unusual descent profile, they act more like the hands and legs of a skydiver (particularly one in a wingsuit), allowing ships to control their pitch, attitude, and roll while freefalling belly-down to the ground. In theory, that allows Starship to gain practically all of the benefit of a structural wing like that on the Space Shuttle but for a far lower mass penalty.
Instead of elegantly slowing down with wings, Starship uses its flaps to create as much drag as possible during descent, slowing down to a terminal velocity around 100 m/s (~225 mph) or less. Using a freefall trajectory and flaps incapable of generating lift does likely come at the cost of “crossrange performance,” referring to how far Starship can travel horizontally in Earth’s atmosphere after reentry. However, significant crossrange performance is almost entirely irrelevant outside of Cold War paranoia like the kind that NASA let influence the Shuttle’s design to an ultimately catastrophic degree. Landing vertically also precludes the need for exceptionally long, expensive runways like those the Shuttle needed.
Aside from allowing it to navigate to a small vertical landing pad (or massive ‘Mechazilla’ catch tower), Starship’s flaps are also important for controlling vehicle orientation and heading during reentry itself. To fill that role, those flaps will have to be able to actuate across their full range of motion during reentry, as Starship’s hypersonic assault against the thin upper atmosphere creates a flood of superheated plasma that wants nothing more to find the gaps in its heat shield. Shuttle engineers had to deal with the same issue, ultimately designing complex seals that would allow the vehicle’s wing and body flaps to actuate during reentry without allowing superheated plasma to leak inside and damage their fragile mechanisms or structure.
Although Starship does have the benefit of relying on steel – not aluminum – for almost all of its structures, it still has to grapple with the same challenges of shielding sensitive electronics, actuators, motors, and more from the reentry onslaught that its heat shield and steel structure are designed to survive.
Half-covered in heat shield tiles, it’s not clear how SpaceX plans to seal off the more sensitive, exposed components of each flap’s actuation mechanism – including motors, cabling, and the hinge itself. Based on what’s visible, Starship’s flaps and the cradle-like ‘aerosurfaces’ they slot into do have very tight tolerances and may rely on some felt-like ceramic wool or TPS blanket to seal the tiny remaining gaps. With small enough gaps, a hypersonic airstream can behave as if there are no gaps at all, suggesting that that might be SpaceX’s preferred approach to sealing Starship flaps.
Up next on Starship S20’s path to launch is the reinstallation of 3-6 Raptor engines (for the third time) ahead of a crucial static fire test campaign that could begin as early as Thursday, October 7th. Likely beginning with 1-3 Raptors, SpaceX will perform an unknown number of static fire tests, ultimately culminating in the first ignition of 4, 5, and 6 engines on any Starship prototype. If all goes well, that testing will also mark the first time Raptor Vacuum has been ignited on a Starship prototype and the first time SpaceX has ignited multiple Raptor variants (sea level and vacuum, in this case) on the same vehicle. Stay tuned for updates on engine installation.
News
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
