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Rocket Lab assembling first reusable Neutron rocket hardware
Rocket Lab appears to have made significant progress since revealing the state of hardware development for its next-generation Neutron rocket in a September 2022 investor update.
At the time, the company shared photos of early work on prototypes of smaller Neutron structural elements, as well as progress building the giant molds that will be used to ‘lay up’ the rocket’s carbon fiber composite tanks and airframe. Rocket Lab also showed off acquisitions of some of the supersized manufacturing equipment that will be used to build the giant rocket, as well as the beginnings of a dedicated Neutron factory in Virginia.
Four months later, photos shared by CEO Peter Beck show that Rocket Lab has progressed to full-scale carbon fiber hardware manufacturing. In December 2022, Beck shared a photo of a full-size Neutron tank dome in the middle of production. A month later, Beck shared a photo of work on both halves of a Neutron booster tank dome. Measuring around seven meters (23 ft) wide, the latter component is already on track to become one of the largest carbon fiber structures ever prepared for a rocket once the halves are joined. And once two more halves are built and assembled, Rocket Lab could soon be ready to start testing full-scale Neutron tank hardware – a crucial milestone for any new rocket.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
Announced in March 2021 and properly unveiled in December 2021, Neutron is a partially-reusable two-stage rocket designed to launch up to 15 tons to Low Earth Orbit (LEO) using liquid methane and oxygen propellant. Neutron measures 42.8 meters (140.4 ft) tall and up to seven meters (23 ft) wide. Its stout, ballistically-optimized design means that it’s simultaneously 40% shorter and up to 190% wider than SpaceX’s workhorse Falcon 9 rocket.
Design differences aside, Neutron is the first rocket that has been obviously designed as an answer to Falcon 9, which has become one of the most prolific, cost-effective, and routinely reusable rockets in the world over the last five or so years. Depending on how much Rocket Lab can sell Neutron for while still breaking even, Neutron has the potential to give Falcon 9 a serious run for its money – or at least force SpaceX to lower its prices. Like Falcon 9, Neutron will have a reusable booster, a reusable payload fairing, and an expendable upper stage. Its booster will also have nine (Archimedes) engines and the upper stage will be powered by one engine. At liftoff, Neutron will produce up to 674 tons (1.49M lbf) of thrust to Falcon 9’s 770 tons (1.7M lbf).
Unlike Falcon 9, Neutron’s similarly-sized reusable fairing is integral, meaning that it will stay permanently attached to the booster. But despite the added mass of the integral fairing and the rocket’s significantly shorter layout, Rocket Lab says that Neutron will be able to launch up to 13 tons (~28,700 lb) to LEO if the booster lands on a barge downrange. Using the same approach with a deployable fairing, Falcon 9 has launched up to 16.7 tons (~36,800 lb) to LEO. That 23% performance gap may seem significant, but the reality is that only SpaceX’s own Starlink and Dragon missions have ever needed Falcon 9 to launch more than 13 tons to orbit.
If Neutron can consistently launch ~25% less payload than Falcon 9 to all Earth and near-Earth orbits, virtually every commercial launch contract that’s currently a SpaceX shoo-in could be within reach of Rocket Lab within several years. The challenge, of course, is building Neutron and making sure the ambitious rocket and its clean-sheet Archimedes engine work as expected and can be reused as easily as Falcon 9.
The company is attempting to get there with its far smaller Electron vehicle, but Rocket Lab has never reused a rocket. And five and a half years after Electron’s debut, the company has never launched more than nine times in one year. SpaceX is about to reuse a Falcon booster for the 140th time and launched 61 times in 2022 – a lead that may prove almost impossible to close. There’s also the fact that the size gap between Rocket Lab’s rockets is so extreme that Neutron could likely launch a fully-fueled Electron into orbit.
But again, SpaceX serves as a demonstration that what Rocket Lab hopes to achieve is not impossible. SpaceX went directly from Falcon 1 (about twice as large as Electron) to Falcon 9 V1.0 (about 30% smaller than Neutron) after just two successful launches of the smaller rocket. Electron has successfully launched 29 times since May 2017 and Rocket Lab is already learning about reusability through the smaller rocket. The challenges facing Rocket Lab are huge, but Neutron still remains the most promising SpaceX competitor currently in development. Kicking off full-scale Neutron tank testing just 2-3 years after the rocket was revealed would only reiterate its strengths. Stay tuned to see how much Neutron progress Rocket Lab can make in 2023.
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
