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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.
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
