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Relativity Space’s first 3D-printed rocket booster passes early tests
Relativity Space CEO Tim Ellis says that the startup’s first 3D-printed ‘Terran-1’ rocket booster has already completed a few significant tests after arriving at its Florida launch pad last month.
Terran-1 is an expendable two-stage launch vehicle that, when assembled for the first time, will measure around 33 meters (110 ft) tall, 2.3 meters (7.5 ft) wide, and weigh 9.3 tons (~20,500 lb) empty. Fueled by liquid oxygen and methane (methalox) and powered by nine small Aeon engines, the first Terran booster will produce around 90 tons (~200,000 lbf) of thrust at liftoff. Altogether, the rocket is designed to initially launch up to 1.25 tons (~2750 lb) to low Earth orbit, with plans to expand to 1.5 tons (~3300 lb) in the future. SpaceX’s Falcon 9, for context, measures 3.7 meters (12 ft) wide, 70 meters (~230 ft) tall, likely weighs around 30 tons (~65,000 lb) dry, and can launch 22.8 tons (~50,250 lb) to LEO in an expendable configuration. A single one of its nine Merlin 1D booster engines produces about as much thrust as the entire first stage of Terran-1.
While tiny in comparison, Terran-1’s booster is still a relatively large and powerful rocket, and testing it poses significant challenges. Instead of building a custom test stand elsewhere, Relativity has chosen to conduct almost all first-stage qualification testing at its Cape Canaveral Space Force Station (CCSFS) LC-16 pad.
That plan increases the risk of the rocket damaging Relativity’s only available launch pad, significantly delaying launch preparations, but it also has the potential to save time by doubling as a launch pad shakedown. Aside from basic concrete features and foundations, LC-16 was essentially a blank slate when Relativity arrived, so qualifying the pad – virtually all of which is new and recently installed – is no small feat on its own.
Relativity’s first Terran-1 flight hardware has performed shockingly well. The smaller single-engine upper stage sailed through a full program of proof tests – including a full-duration static fire – shortly before shipping to LC-16. Terran-1’s first booster, meanwhile, left Relativity’s California factory and arrived at LC-16 to begin its own qualification testing in early June.
On June 28th, CEO Tim Ellis revealed that the booster had already completed “pneumatic proof testing” and made it through its “first propellant loading” test less than a month after arriving at LC-16. That would be fast for the first prototype of any new orbital-class rocket, but Relativity’s Terran-1 has an extremely unique feature that makes that speed even more impressive: by mass, the vast majority (85%) of the rocket was manufactured with 3D printing. In effect, most of Terran’s airframe and tanks are just giant, continuous welds that were precisely manipulated into cylinders, domes, and more. While the rough surface finish leaves something to be desired and likely reduces the overall efficiency of the rocket’s airframe, Relativity says that the composition of the metal in its printed structures is almost identical to a more traditionally-manufactured component.
Relativity’s ultimate hope is that the technical groundwork it is laying will allow it to manufacture complex and high-performance rockets with minimal human intervention, drastically lowering production costs. One day, the descendants of those semi-autonomous factories might even be used to construct rockets and other complex machines and infrastructure on Mars or other extraterrestrial destinations.
First, though, the company needs to start successfully launching Terran-1 rockets and fully prove the concept. Up next, Relativity will likely perform a full wet dress rehearsal, a launch simulation in which the rocket is loaded with propellant and pressurized for flight. Once that step is complete, Relativity will attempt one or several static fire tests, culminating in a full-duration multi-minute static fire or “mission duty cycle.”
Elon Musk
Elon Musk reveals date of Tesla Full Self-Driving’s next massive release
Initially planned for a January or February release, v14.3 aims to add some reasoning and logic to the decisions that Full Self-Driving makes, which could improve a lot of things, including Navigation, which is a major complaint of many owners currently.
Tesla CEO Elon Musk revealed the date of Full Self-Driving’s next massive release: v14.3.
For months, Tesla owners with Hardware 4 have been utilizing Full Self-Driving v14.2 and subsequent releases. Currently, the most up-to-date FSD version is v14.2.2.5, which has definitely brought out mixed reviews. With releases, some things get better, and other things might regress slightly.
For the most part, things are better in terms of overall behavior.
However, many owners have been looking forward to the next release, which is v14.3, about which Musk has said many great things. Back in November, Musk said that v14.3 “is where the last big piece of the puzzle lands.”
He added:
“We’re gonna add a lot of reasoning and RL (reinforcement learning). To get to serious scale, Tesla will probably need to build a giant chip fab. To have a few hundred gigawatts of AI chips per year, I don’t see that capability coming online fast enough, so we will probably have to build a fab.”
Initially planned for a January or February release, v14.3 aims to add some reasoning and logic to the decisions that Full Self-Driving makes, which could improve a lot of things, including Navigation, which is a major complaint of many owners currently.
Tesla Full Self-Driving v14.2 is a considerable improvement from early versions of the suite, but we have written about the somewhat confusing updates that have come with recent versions.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
They’ve been incredibly difficult to gauge in terms of progress because some things have gotten better, but there seems to be some real regression on a handful of things, especially with confidence and assertiveness.
Musk confirmed today on X that Tesla is already testing v14.3 internally right now. It will hit a wide release “in a few weeks,” so we should probably expect it by late April.
It’s in testing right now. Wide release in a few weeks.
— Elon Musk (@elonmusk) March 19, 2026
Overall, there are high hopes that v14.3 could be a true game changer for Tesla Full Self-Driving, as many believe it could be the version that Robotaxis in Austin, Texas, some of which are driverless and unsupervised, are running.
It could also include some major additions, including “Banish,” also referred to as “Reverse Summon,” which would go find a parking spot after dropping occupants off at their destination.
What Tesla will roll out, and when exactly it arrives, all remain to be seen, but fans have been ready for a new version as v14.2.2.5 has definitely run its course. We have had a lot of readers tell us their biggest request is to fix Navigation errors, which seem to be one of the most universal complaints among daily FSD users.
Cybertruck
Chattanooga Charge: Tesla and EV fans ready for the Southeast’s wildest Tesla party
From Cybertruck Convoys to Kid-Friendly Fun Zones: The Chattanooga Charge Has Something for Everyone
Hundreds of like-minded Tesla and EV enthusiasts are descending on Chattanooga Charge this weekend for the largest Tesla meet in the Southeast. Taking place on March 20–22, 2026 at the stunning Tennessee Riverpark.
If you were there last year, you’ll know that it’s the ultimate experience to see the wildest Teslas in action, see the best in EV tech, and arguably the most fun – finally put a name to the face and connect with those social media buddies IRL! Oh, and that epic night time Tesla light show is a once-in-a-lifetime experience that will transform the Riverpark into something out of a sci-fi film that’s remarkably unforgettable and must be seen in person.
This year’s event takes everything up a notch, with over 100 Cybertrucks expected to be on display, many sporting jaw-dropping modifications and custom wraps that push the boundaries of what these stainless steel beasts can look like.
Whether you’re a diehard Tesla fan, EV supporter, or just EV-mod-curious, the sheer spectacle is worth the drive.
The Chattanooga Charge doesn’t wait until Saturday morning to get started. The weekend technically kicks off Friday, March 20th, and the venue sets the tone immediately. Come share roadtrip stories over drinks at the W-XYZ Rooftop Bar on the top floor of the Aloft Chattanooga Hamilton Place Hotel, with sunset views over the city.
Come morning, nurse your hangover with a some good coffee, and convoy with hundreds of other Tesla and EV drivers through Chattanooga to the event for some morning meet and greets before the speaker panel starts and the food trucks fire up.
Tesla owner clubs travel from across the country to be here, not just to show off their vehicles,, but to connect, share, and celebrate a shared passion for the future of driving.
Sounds like a plan to me. See you there, guys. Don’t miss it. Get your tickets at ChattanoogaCharge.com and join the charge. 🔋⚡
Chattanooga Charge is a premier Tesla and EV gathering inspired by the X Takeover, known as one of the largest Tesla event gatherings. What began as a bold idea from the team at DIY Wraps/TESBROS, hosted in their hometown of Chattanooga, Tennessee, the event quickly became a movement across social media. The first annual Chattanooga Charge united over 16 Tesla clubs from 16 states, proof that the EV community was hungry for something big in the South. Year after year, the event has grown in scale, ambition, and heart.
News
Tesla Full Self-Driving gets latest bit of scrutiny from NHTSA
The analysis impacts roughly 3.2 million vehicles across the company’s entire lineup, and aims to identify how the suite’s degradation detection systems work and how effective they are when the cars encounter difficult visibility conditions.
The National Highway Traffic Safety Administration (NHTSA) has elevated its probe into Tesla’s Full Self-Driving (Supervised) suite to an Engineering Analysis.
The analysis impacts roughly 3.2 million vehicles across the company’s entire lineup, and aims to identify how the suite’s degradation detection systems work and how effective they are when the cars encounter difficult visibility conditions.
The step up into an Engineering Analysis is often required before the NHTSA will tell an automaker to issue a recall. However, this is not a guarantee that a recall will be issued.
🚨 The NHTSA said it was upgrading a probe into Tesla’s Full Self-Driving (Supervised) platform to an “engineering analysis”
It will examine 3.2 million vehicles and aims to determine its effectiveness in evaluating degraded road conditions pic.twitter.com/2dkrv1mR8o
— TESLARATI (@Teslarati) March 19, 2026
The NTHSA wants to examine Tesla FSD’s ability to assess road conditions that have reduced visibility, as well as detect degradation to alert the driver with sufficient time to respond.
The Office of Defects Investigation (ODI) will evaluate the performance of FSD in degraded roadway conditions and the updates or modifications Tesla makes to the degradation detection system, including the timing, purpose, and capabilities of the updates.
Tesla routinely ships software updates to improve the capabilities of the FSD suite, so it will be interesting to see if various versions of FSD are tested. Interestingly, you can find many examples from real-world users of FSD handling snow-covered roads, heavy rain, and single-lane backroads.
However, there are incidents that the NHTSA has used to determine the need for this probe, at least for now. The agency said:
“Available incident data raise concerns that Tesla’s degradation detection system, both as originally deployed and later updated, fails to detect and/or warn the driver appropriately under degraded visibility conditions such as glare and airborne obscurants. In the crashes that ODI has reviewed, the system did not detect common roadway conditions that impaired camera visibility and/or provide alerts when camera performance had deteriorated until immediately before the crash occurred.”
It continues to say in its report that a review of Tesla’s responses revealed additional crashes that occurred in similar environments showed FSD “did not detect a degraded state, and/or it did not present the driver with an alert with adequate time for the driver to react. In each of these crashes, FSD also lost track of or never detected a lead vehicle in its path.”
The next steps of the NHTSA Engineering Analysis require the agency to gather further information on Tesla’s attempts to upgrade the degradation detection system. It will also analyze six recent potentially related incidents.
The investigation is listed as EA26002.
Elon Musk reveals date of Tesla Full Self-Driving’s next massive release
Chattanooga Charge: Tesla and EV fans ready for the Southeast’s wildest Tesla party
