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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.”
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
