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Relativity Space reveals plans to rapidly upgrade 3D-printed Terran 1 rocket
Relativity Space has announced that it will only launch the first version of its small Terran 1 rocket a handful of times before upgrading the vehicle in ways that will aid work on a much larger, fully reusable rocket.
Relativity co-founder and CEO Tim Ellis revealed the news in a recent interview, explaining that while the original Terran 1 rocket is still an integral part of the company’s vision and success, it will mainly serve as a bridge to the larger and more capable Terran R – a rare rocket with the potential to compete head-to-head with SpaceX’s Falcon 9.
“We’ve always envisioned Terran 1 being a development platform,” stated Ellis in an interview with Ars Technica. The Terran 1 rocket, which is thrust into orbit using nine proprietary Aeon-1 engines is designed to carry payloads into Low Earth Orbit (LEO). The first launch of Terran 1 is anticipated to take place by the end of 2022, with Ellis stating that Relativity is “definitely launching this year.” Terran 1’s first launch won’t carry payloads, indicating its experimental nature, but it will be serving as the startup’s first orbital launch attempt.
Assuming the rocket’s debut is mostly successful, Terran 1’s second mission will carry a “Venture Class Launch Services” small satellite payload for NASA. The third and final mission for the first version of Terran 1 will also carry payloads, though Relativity has yet to reveal its customer(s).
Once completed, Ellis says Relativity will shift its focus away from the Aeon-1 engine setup on Terran 1’s booster. Instead, they will remove the nine Aeon-1 engines from the vehicle and replace them with a single 135-ton-thrust (~300,000 lbf) Aeon-R engine – seven of which will eventually power Terran R’s reusable booster.
When asked why the startup didn’t simply start with the Aeon-R engine, Ellis noted that developing a booster with nine smaller Aeon-1 engines was “definitely not the optimum choice in hindsight to get to orbit as simply and quickly as possible for the Terran 1 program.” He added, “But it’s been part of our plans to do a much larger reusable rocket for a long time. So we chose to do liquid oxygen and liquid methane engines, as well as the nine-engine configuration on Terran 1 so that we could learn as a company how to do something that complex early on before we had to go build this 20,000-kilogram payload-to-orbit vehicle.”
There are many benefits that come from using the single Aeon-R engine on Terran 1, including reduced cost, processes, and more capable rockets. By scaling down the number of engines from nine Aeon-1s to one Aeon-Rs, they are also scaling down the number of turbopumps, which will reduce labor and cost. The Aeon-R engine, seven of which will power the Terran R rocket, will also produce nearly ~300,000 pounds of thrust. This will provide the company with more capable small launch vehicles.
Ultimately, Relativity’s goal is to launch Terran R, a much larger, more powerful, and (in theory) fully-reusable rocket. Ellis stated that both the first and second stages of Terran R will be reusable, potentially allowing the rocket to directly compete with Falcon 9 – and maybe even the company’s fully-reusable Starship. SpaceX’s workhorse rocket has successfully launched 142 times and the company appears to be more confident in it than ever before. In 2022 alone, SpaceX hopes to launch an average of one Falcon rocket per week.
Despite the fact that SpaceX successfully landed its first Falcon booster in 2015 and reused a booster on a commercial launch in 2017, traditional competitors like Arianespace and ULA have done little to respond and continue to develop new rockets – Vulcan Centaur and Ariane 6 – that are fully expendable, substantially more expensive than SpaceX’s offerings, and still without a clear path to reusability. Alongside Blue Origin’s New Glenn vehicle and Rocket Lab’s Neutron, Relativity’s Terran R rocket may actually be able to compete with Falcon 9.
Ellis further revealed that Terran R already has at least one signed customer, with many others expressing interest behind the scenes. Though the company’s official timeline is incredibly ambitious, Relativity says Terran R could launch as early as 2024, giving the company less than three years to develop the giant rocket from scratch.
It is still unclear how either stage of Terran R will be recovered, nor how the rocket will integrate into the already existing launch facilities being built for Terran 1 at the Cape Canaveral Space Force Station’s (CCSFS) LC-16 pad. Nonetheless, Ellis and the entire Relativity team seem determined to deliver on their promises. Ellis didn’t shy away from bold and undeniable claims, either, stating that “we are definitely launching this year.” “I have no doubt about that…at this point, barring an act of nature or something going seriously wrong in stage testing.”
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
