News
Rocket Lab spacecraft sends NASA’s CAPSTONE mission to the Moon
Rocket Lab has successfully sent a small NASA spacecraft on its way to the Moon, acing the complex interplanetary launch on its first try.
The public aerospace company’s (mostly) standard two-stage Electron rocket lifted from its New Zealand-based LC-1 pad on June 28th and inserted NASA’s tiny 25-kilogram (~55 lb) “Cislunar Autonomous Positioning System Technology Operations and Navigation Experiment” (CAPSTONE) spacecraft into a low Earth parking orbit without issue. As is fairly typical for most modern Electron launches, a small ‘kick stage’ was included for orbital operations and payload deployment, but CAPSTONE’s kick stage and destination were anything but typical.
Instead of slightly and briefly tweaking a run-of-the-mill low Earth orbit, CAPSTONE’s kick stage was tasked with sending the spacecraft (and itself) all the way from LEO (~300 kilometers) to a lunar transfer orbit with an apoapsis 1.2 million kilometers (~750,000 mi) from Earth.
To accomplish that feat, Electron’s extensively upgraded Lunar Photon kick stage would need to perform more than half a dozen major burns spread out over almost a week, and survive hostile conditions while maintaining total control throughout. Generally speaking, Rocket Lab offers three kick stage variants: a standard low-thrust, low-longevity stage for small orbital adjustments shortly after launch; an upgraded Photon that can either serve as a long-lived satellite or kick stage; and an even more upgraded Photon with large propellant tanks and a more powerful ‘HyperCurie’ engine. With an impressive 3200+ meters per second of delta V, the latter variant could boost significant payloads into higher Earth orbits but is primarily designed for deep space missions – sending payloads beyond Earth orbit.
Rocket Lab wants to launch its own self-funded mission(s) to Venus, delivering one or several small atmospheric probes to help peel back the curtain on the chronically under-explored planet. It also won a 2021 contract to supply a pair of Mars-bound Photon spacecraft buses for NASA’s Escape and Plasma Acceleration and Dynamics Explorers (ESCAPADE) in 2024, and has multiple orders for simpler Photons that will support slightly more ordinary missions back in Earth orbit.
Lunar Photon’s performance on CAPSTONE bodes extremely well for those ambitious future plans. Within hours of reaching orbit, Photon had begun the orbit-raising process. Over the course of five days, Photon performed six major burns, effectively taking larger and larger ‘steps’ towards the Moon. The spacecraft’s seventh and final burn boosted its apoapsis almost tenfold from ~70,000 to 1.2 million kilometers from Earth, officially placing CAPSTONE on a ballistic lunar trajectory (BLT). While highly efficient, CAPSTONE’s trajectory means it will have to wait until November 2022 to truly enter orbit around the Moon using its own small thrusters.
Once there, “CAPSTONE will help reduce risk for future spacecraft by validating innovative navigation technologies and verifying the dynamics of” lunar near-rectilinear halo orbits (NRHO). The story behind that strange lunar orbit – which will make exploring the Moon’s surface significantly less convenient – is far less glamorous, however. CAPSTONE is essentially a tiny precursor to NASA’s Artemis Program, which the agency claims will help “establish the first long-term presence on the Moon.”
In reality, NASA’s concrete plans currently include a series of short and temporary human landings in the 2020s. While the agency has contracted with SpaceX to develop a potentially revolutionary Starship Moon lander for a single uncrewed and crewed demonstration mission, NASA’s current plan involves using its own Space Launch System (SLS) rocket and Orion spacecraft as a sort of $4 billion lunar taxi to carry astronauts from Earth’s surface to a Starship lander waiting in lunar orbit. Starship will then carry those astronauts to the surface, spend about a week on the ground, launch them back into lunar orbit, and rendezvous with Orion, which will finally return them to Earth.
Orion’s service module delivers about half as much delta V as NASA’s 50-year-old Apollo Service Module, severely limiting its deep space utility and making safe crewed trips to and from low lunar orbits virtually impossible on its own. Instead of improving the spacecraft’s performance and flexibility by upgrading or replacing the European-built service module (ESM) over the last decade, NASA accepted that Orion would only ever be able to send astronauts to lunar orbits that would always be inconvenient for surface operations.
CAPSTONE’s ultimate purpose, then, is to make sure that spacecraft operate as expected in that compromise orbit – only necessary because Orion can’t reach the lower lunar orbits that are already thoroughly understood.
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
