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SpaceX’s Starhopper readies for more ambitious Raptor-powered flight tests
For the second time in two months, SpaceX technicians have begun to install a Raptor engine on Starhopper, a full-scale Starship testbed theoretically capable of low-velocity, moderate-altitude ‘hops’.
Back in late March, Raptor and Starhopper were joined for the first time, enabling a lengthy series of attempted tests that were followed by two engine ignitions and tethered hops before Raptor was removed for inspection. In the two months since that first round of integrated testing, SpaceX has significantly upgraded Starhopper and its spartan launch facilities, all focused on transforming the odd vehicle from a largely fixed test stand into a giant, mobile Grasshopper.
All the way back in 2012, SpaceX began testing Falcon 9 recovery and reusability concepts with a low-fidelity prototype known as Grasshopper – essentially a minimalist Falcon 9 first stage with ad hoc legs and a single Merlin engine. It supported a series of 8 major test flights – all successful and a source of valuable data – before the vehicle’s 2013 retirement. An upgraded Grasshopper – known instead as Falcon 9 Reusable Development Vehicle (F9R Dev1) – began testing around the same time and continued even higher altitude vertical takeoff/vertical landing (VTVL) tests until its untimely demise in August 2014.
Starhopper is quite similar, although it is also serving as a testbed for a far more varied range of technologies due to the fact that it has been developed before the inaugural launch of its namesake (Starship/Super Heavy). By the time SpaceX started Grasshopper/F9R tests, Falcon 9 had already completed several successful launches. With Starhopper, SpaceX is building and testing its first 9m-diameter ‘flight’ hardware, its first propellant tanks built out of steel, its first flight-capable rocket fueled by methane and oxygen, and its first mobile Raptor testbed, among numerous other things. The challenges are inherently much greater, but SpaceX has the luxury of taking the opposite approach it took towards Falcon 9 and building a launch vehicle entirely around its intended reusability, rather than trying to squeeze a method of reusability around an already-flying rocket.
Saurid Oddities
As noted by NASASpaceflight.com in a June 2nd article, SpaceX seems to be juggling its growing selection of newly-produced and tested Raptor engines in pursuit of Starhopper’s return to flight. According to the publication’s reliable sources,
“Up until recently, [SpaceX] was planning to utilize Raptor SN4 for [Starhopper’s first] untethered hops. However, the company has now decided to utilize this engine only for fit checks, and will instead perform the hops with SN5 – the latest Raptor to come out of SpaceX’s factory in Hawthorne, California.” – NASASpaceflight.com, June 2nd, 2019
This indicates that the Raptor engine delivered to Boca Chica on June 1st and currently in the process of being installed on Starhopper is actually more of a stand-in* for a future Raptor, SN05. The reasons behind this Raptor shuffle elude detection, but it’s possible that the simplest explanation – also posed by NASASpaceflight – is the correct one. By shipping a Raptor that may not be ready for flight tests, SpaceX could likely save anywhere from a few days up to a few weeks by doing everything short of lifting off under the powered of Raptor SN04.
*By all appearances, SN04 is a flight-grade Raptor that has completed assembly and likely been test-fired in McGregor, Texas. Why it may currently be resigned to a “stand-in” role is unknown.
It appears that the Raptor engine is not centered, could it be that they are going straight with the 3 engine test. (Idk honestly, I wonder why this is?) @elonmusk are things about to get epic?? pic.twitter.com/sne5v7SMhy— Austin Barnard? (@austinbarnard45) June 1, 2019
Very curiously, upon Raptor SN04’s South Texas arrival, it appears that SpaceX technicians have indeed rapidly installed the engine on Starhopper, but in a position that is decidedly off-center. Pictured above, the photo could have simply caught the engine while technicians were moving it to its actual installation spot, but it could also indicate that SpaceX is speeding towards Starhopper’s first triple-Raptor test flights.
Starhopper delays?
In line with the last-second switch from Raptor SN04 to Raptor SN05 as the engine-to-be for untethered hops, SpaceX has pushed the start of that test series from approximately May 31st to June 11th. More likely than not, the ~11-day delay is meant to allow time for Raptor SN05’s McGregor, Texas acceptance testing, given that – per CEO Elon Musk – the engine wasn’t even finished as of May 22nd.
On the other hand, with Raptor SN05 now scheduled to support Starhopper hop tests as early as mid-June, it begs the question of whether SpaceX is instead working towards expedited triple-Raptor testing. For unknown reasons, neither Raptor SN03 or SN04 are apparently ready to support flight operations, although both have been thoroughly hot-fired in McGregor. Perhaps each engine is a distinct prototype with a different level of experimental readiness, or perhaps SpaceX is just testing certain engines (like SN03) more extensively than others (SN05).
Regardless, SpaceX now seems to have 3-4 intact, functional Raptor engines (excluding SN01; destroyed during stress testing), 2-3 of which are actively testing or being worked on a day’s drive north of Boca Chica. SN02 – having successfully supported a brief duo of ignition tests with Starhopper – could still be intact and test-ready. SN03 is an unknown quantity, but SN04 is clearly in excellent shape and is probably close to flight-readiness if it isn’t already. This is to say that SpaceX likely already has three Raptors on hand that are capable of supporting multi-engine Starhopper testing, whether or not such a test regime would actually be valuable.
Musk has noted that both orbit-capable Starship prototypes will be far closer to finished products and will thus fly with “at least 3 engines” (3 sea level engines, as it would turn out) or even “all 6” (3 sea level, 3 vacuum-optimized). In the meantime, Starhopper stands with an off-centered Raptor, awaiting the arrival of a different Raptor to kick off a second hop test program. If nothing else, SpaceX’s Starship/Super Heavy development program is operating in a spectacularly hardware-rich fashion, lending itself to the breakneck-pace of iteration and improvement SpaceX is famous for.
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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
