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Rocket Lab’s first step towards SpaceX-style rocket reuse set for next Electron launch
Just over a year ago, Rocket Lab announced intentions to recover the first-stage of its small Electron launch vehicle, potentially making it the second private company on Earth – after SpaceX – to attempt to recover and reuse an orbital-class rocket.
In a media call earlier this week, Rocket Lab founder and CEO, Peter Beck, revealed that the first recovery attempt has been expedited to mid-November and will occur following the next flight of Rocket Lab’s Electron rocket.
Like competitor SpaceX, Rocket Lab aims to recover its first stage Electron booster to decrease production time and increase launch cadence. Rocket Lab now has three launchpads to launch from and is licensed by the Federal Aviation Administration to carry out up to 130 launches per calendar year. In order to increase the launch cadence of the Electron, production times need to decrease. This can effectively be accomplished with the recovery, refurbishment, and reuse of the small, carbon composite rocket booster.
Recovery Doesn’t Happen Overnight
Initially, the first step of recovering an expended first stage – a guided and controlled soft water landing under a parachute and retrieval by sea-vessel – was intended for the seventeenth launch of the Electron prior to the end of this calendar year. However, Rocket Lab is now targeting the sixteenth launch for the first recovery attempt, a mission appropriately nicknamed “Return to Sender.” When asked what prompted the move to an earlier launch, Beck stated to reporters, “the guys got it done in time. With a new development like this, it’s always very dependent on how the program runs and the program ran very successfully.”
Rocket Lab has been working toward this recovery attempt for quite some time. In late 2018, Rocket Lab began collecting data during launches to inform future recovery efforts and determine whether or not it would even be feasible with a small-class rocket. The first major block upgrade of the Electron booster debuted on the tenth flight, “Running Out of Fingers,” in December 2019.
The first recovery milestone, a task Beck called getting through “the wall,” was achieved following the tenth flight. And again in January 2020 following a successful eleventh flight of Electron. The “wall” Beck refers to is the Earth’s atmosphere. Returning a booster through the atmosphere intact requires extreme precision in terms of re-entry orientation and how efficient the heat shield is.
Because the Electron is a small-class rocket, Rocket Lab was able to collect enough data from previous flights to determine that the carbon composite frame could withstand a fall through the atmosphere given a precise enough angle of attack to sufficiently distribute thermal loads. According to Beck, the process is referred to as an “aero thermal decelerator.”
Small Rocket Following in Big Footsteps
SpaceX, Elon Musk’s space exploration company pioneered booster landing, recovery, and reuse efforts when the first Falcon 9 booster to successfully land returned to Landing Zone 1 at Cape Canaveral Air Force Station in Florida on December 21, 2015. SpaceX approaches the process of booster re-entry in a different way than what Rocket Lab has decided to attempt with Electron.
The Falcon 9 boosters perform a re-orientation flip and use the engines to perform what is known as a boost-back burn to set the rocket on the path to return to the Earth’s surface. The rocket then autonomously deploys titanium grid-fins that essentially steer, and slow the booster down as it falls through the atmosphere. Finally, the engines are re-ignited during a series of burns, and landing legs are deployed to propulsively land either at sea aboard an autonomous spaceport droneship or back on land at a landing zone.
The booster of Rocket Lab’s tenth mission in 2019 was outfitted with guidance and navigation hardware and cold gas attitude control thrusters used to flip and orient the booster to withstand the stresses of re-entry. Otherwise, no other hardware was incorporated to reduce the stresses of re-entry or slow the vehicle as it fell through the atmosphere. The booster made it through “the wall” intact and eventually slowed to a rate less than 900km per hour by the time it reached sea-level for an expected impact.
Eventually, Rocket Lab imagines its small Electron booster to be caught during a controlled descent under parachute canopy with a specially equipped helicopter and grappling hook. Beck and his team spent weeks outfitting a test article with prototype parachutes that were manufactured in-house.
A low-altitude drop test of a test article to simulate an Electron first stage was performed and a helicopter was able to snag the test article mid-air and deliver it one piece. Essentially, this proved that the concept was at least feasible and the small-class rocket could in fact be fully recovered to eventually be refurbished and reused. Since the completion of this drop test in April of 2020, the parachute design has been reevaluated and many more drop tests have been conducted. The final drop test with a more traditional system of a drogue parachute and an 18m ringsail type main parachute occurred in August of 2020 with a first stage simulator.
Next up, Rocket Lab plans to use the finalized design of the parachute system to bring Electron home safely for a soft landing in the Pacific Ocean. After which the booster will be collected by a recovery vessel, similar to the process that SpaceX uses to scoop its payload fairings from the water.
“Bringing a whole first stage back intact is the ultimate goal, but success for this mission is really about gaining more data, particularly on the drogue and parachute deployment system,” said Beck. With the parachute system verified the teams should be able to make any further iterations for a full capture and recovery effort on a future mission relatively quickly.
Rocket Lab will try to fully recover the “Return to Sender” expended first-stage booster once it separates approximately two and a half minutes after liftoff from Launch Complex 1 on the Mahia Penninsula of New Zealand. Electron will support a rideshare payload of thirty smallsats. The window to launch the sixteenth Electron mission opens on November 16 UTC (November 15 PT / ET). A hosted live webcast of the launch and recovery attempt will be provided on the company website approximately fifteen minutes prior to liftoff.
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
