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Rocket Lab’s NASA Moon launch to kick off new era of ultra-cheap deep space exploration
Rocket Lab will soon take its tiny Electron rocket further than any similarly-sized vehicle before it, sending a NASA satellite to the Moon and potentially kicking off a new era of unprecedentedly cheap space exploration.
On February 14th, the world-leading small satellite launch company announced – alongside NASA – that the space agency had awarded it a $9.95 million launch contract worth $9.95 million to send the $13.7 million Cislunar Autonomous Positioning System Technology Operations and Navigation Experiment (CAPSTONE) CubeSat to lunar orbit. In other words, NASA has contracted a full-up scientific mission to the Moon for less than $25M total – almost unfathomably cheap compared to all interplanetary exploration performed in the last half-century.
In the same way we opened access to LEO for smallsats, we're excited to become the dedicated ride to the Moon & beyond for smallsats.— Rocket Lab (@RocketLab) February 14, 2020
The mission announcement comes just four months after Rocket Lab announced at the International Astronautical Congress in Washington D.C., that it would utilize its small two-stage rocket, Electron, and proprietary satellite bus platform, Photon, to support lunar orbit missions. It also occurs just two months after the official opening of Rocket Lab’s Launch Complex 2 located in Wallops, Virginia – a dedicated facility to specifically service NASA and the US government launch contracts.
According to Ana Rivera, LSP program integration manager for CAPSTONE, the launch will be Rocket Lab’s “inaugural NASA launch from their new launch site at the Mid-Atlantic Regional Spaceport in Virginia” and is expected to occur in the early part of 2021.
NASA’s CAPSTONE is a tiny spacecraft weighing around 55 lb (25 kg) – small enough for an equally tiny rocket to send it on an improbable journey. Rocket Lab’s two-stage Electron rocket will begin by launching CAPSTONE to LEO, where NASA says Photon – a Rocket Lab-built kick stage and satellite bus – will send CAPSTONE on its way to the Moon. CAPSTONE will then use its own propulsion system to enter a “Near Rectilinear Halo Orbit” (NRHO) around the Moon.
It is important to note that, under its own propulsion, CAPSTONE is expected to take nearly three months to reach its intended orbit around the moon. However, the CAPSTONE mission is an imperative one that could lead to better understandings about the journey to the moon and “can reduce navigation uncertainties ahead of our future missions using the same lunar orbit” according to Marshall Smith, director of human lunar exploration programs at NASA Headquarters.
Rocket Lab founder and CEO Peter Beck stated that Rocket Lab is “able to provide NASA with complete control over every aspect of launch and mission design for CAPSTONE, something typically only available to much larger spacecraft on larger launch vehicles. In the same way (Rocket Lab) opened access to low Earth orbit for small satellites, we’re proud to be bringing the Moon within reach to enable research and exploration.”
Photon – the all-in-one experience
Photon is a satellite bus platform designed with interplanetary delivery and deep space communication in mind. The small, but mighty, launch-to-orbit bus features downlink communication capability, radiation-tolerant avionics, and higher power generation. Photon is also able to precisely deploy multiple small payloads into various orbits enabling multiple mission launches supported by Rocket Lab’s proprietary Curie propulsion system.
In the era of NASA’s Artemis initiative to return astronauts to the moon, Beck explains that “small satellites will play a crucial role in science and exploration, as well as providing communications and navigation infrastructure to support returning humans to the Moon.” In this sense, small satellites will serve as pathfinders and build the necessary infrastructure prior to the arrival of more robust hardware such as NASA’s lunar spaceship Gateway and eventually human space travelers.
To date, Rocket Lab has successfully launched 11 missions and 48 satellites to low-Earth orbit. Eventually, Rocket Lab intends to use a recoverable and reusable Electron to loft Photon on interplanetary missions to lunar fly-by orbits, Near Rectilinear Halo Orbit (NRHO), and low-Lunar Orbit by the end of 2020. The two most recent missions – Running Out Of Fingers and Birds of a Feather – featured an upgraded first-stage of Electron that survived re-entry in one piece. This will hopefully lead to a fully recoverable first-stage rivaling the current recovery efforts of SpaceX with its first stage of the Falcon 9 boosters.
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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
