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SpaceX’s Moon Starship is a brilliant step towards reusable Mars rockets
SpaceX’s newly-announced Moon Starship is a fairly radical departure from the Mars-focused, fully-reusable vehicle the company has been pursuing for years. Unintuitively, that may be the perfect half-step towards truly reusable Mars rockets.
On April 30th, NASA announced that SpaceX had won $135 million to design and build a highly-customized variant of its reusable Starship spacecraft with the intention of launching a handful of space agency astronauts to the Moon in the mid-2020s. Whether or not that initial seed translates into enough funding to seriously design and build the ship SpaceX has shown off in new renders, it has already broken the ice, so to speak, between the US federal government (or at least NASA) and the company’s ambitious next-generation launch vehicle.
With a substantial amount of money now on the table for SpaceX to begin initial work on its Moon Starship, it’s worth analyzing just how different it is from the Starship the company is working on today.
First and foremost, perhaps the most obvious difference between SpaceX’s ‘base’ Starship and its lunar variant is the rocket’s hull. In the case of the Moonbound ship, SpaceX appears to have returned to a fully-painted vehicle for unknown reasons. More likely than not, that white paint is likely motivated by the fact that proposed NASA Moon landers must (obviously) be capable of landing and safely returning their astronaut cargo back into lunar orbit.
To do that, those landers must be able to sit on the surface of the Moon after landing for at least several days, with longer stays being even better. For Starship, this means that the vehicle must likely be able to keep its cryogenic liquid methane and oxygen propellant from warming up and turning into gas, thus preventing it from igniting its main Raptor engines. White paint is at least a bit more reflective (and thus insulating) compared to Starship’s shiny steel hull but it could also hint at the use of more extensive insulation then sealed off with paint.
This ties into perhaps the most significant functional change to the rocket. While visible in a render of the craft after landing on the Moon, a separate render just before touchdown fully revealed not only the addition of large vacuum-optimized retrothrusters – but a major strategic shift in how Lunar Starship will attempt to land on the Moon.
In short, it appears that SpaceX does not plan on propulsively landing Lunar Starship on the Moon under the power of its main Raptor engines. Instead, three triple-thruster clusters – likely relying on the same methane and oxygen propellant as Raptor – will fire up shortly before touchdown to gently land Starship on the Moon. This approach has significant benefits: the Moon’s gravity is so low (~1/6th of Earth’s) that using even just one engine as powerful as Raptor to land would be incredibly difficult – a single engine could theoretically lift a fully-fueled Starship thanks to low lunar gravity.
Additionally, powerful Raptor engines – even if they could be used to land – would likely dig huge craters in the Moon’s powder-like surface during a landing burn, making it more difficult astronauts to leave the ship to explore their surroundings. However, it also means that SpaceX must design and certify an entirely new kind of vacuum-optimized rocket engine – likely using gas propellant and fed by high-pressure tanks – for an extremely critical part of operations. If those landing engines were to fail, Starship would very likely crash on the Moon, marooning, wounding, or even condemning the astronauts aboard it.
Beyond new thrusters, a radically different landing strategy, and a painted (and possibly insulated) steel hull, Lunar Starship also features what looks like the tip of a Crew Dragon spacecraft in place of its nose, likely including Draco thrusters and a docking port. SpaceX has also copied the concept of Crew Dragon’s trunk section, installing a curved solar array that wraps around a large portion of Starship’s conical nose. Lunar Starship also offers what looks like the first official glimpse into a new style of Starship landing legs, prototypes of which are already installed on Starship SN4.
Simplicity first (ish)
Additionally, SpaceX has chosen to entirely exclude a windward heat shield from Lunar Starship, as NASA’s plan is (rather painfully) to launch astronauts to the Moon with SLS and carry them to lunar orbit and back to Earth on Orion. Starship also appears to be missing its complex and extensive habitation module and massive gallery window. All that absent hardware is almost certainly meant to dramatically simplify Starship to the point that even NASA would consider funding its development. Incredibly, that strategy appears to have worked and it’s possible that we could see Lunar Starships flying to the Moon as early as 2022.
While a stop at the Moon is decidedly one-way and requires a bit of a one-off Starship variant, what SpaceX has really done is found a way to get NASA to help fund the development of its fully-reusable next-generation launch system. Even if NASA’s Artemis program dies, flounders, or goes nowhere, SpaceX will likely still benefit significantly, much in the same way that NASA’s assistance developing Cargo Dragon and Falcon 9 was a huge boon for the company.
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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
