News
SpaceX reusability may soon be in good company as Rocket Lab catches rocket with a helicopter
Rocket Lab, the world’s most prominent dedicated small satellite launcher, has made significant headway on plans to recover and reuse the booster stage of its Electron rocket, meaning that SpaceX’s reusable Falcon rockets could finally have company.
Recovering a booster is perhaps where all similarities end, however. While the SpaceX Falcon 9 gracefully guides itself back for a controlled landing on an ocean-going drone ship or land-based landing zone, Rocket Lab’s Electron booster will be snagged straight out of the air by a helicopter with a grappling hook.
Recently, Rocket Lab completed what the company called “a major step forward” in plans to achieve full booster recoverability with the successful completion of a “mid-air recovery” test. The test occurred over the open ocean near New Zealand and featured what was identified as an “Electron first stage test article.” One helicopter released the test article at a low altitude – around 2.5km (8,000ft) – and a nearby second helicopter, outfitted with a specially designed grappling hook, swooped in and snatched it out of the sky as it plummeted toward the ocean.
Rocket Lab’s recovery efforts did not simply begin with dropping a rocket-shaped test article from a helicopter. Long before ever attempting to catch a test article falling through the sky, the company had to ensure that the first stage of the Electron booster could even survive the return trip. Rocket Lab CEO and founder, Peter Beck, referred to it as punching through the wall which best summarizes the conditions that the first stage encounters upon re-entry through on the Earth’s dense atmosphere.
The company’s tenth successful launch dubbed “Running Out of Fingers” in December of 2019 was not only successful because it delivered and deployed the payload, but it was also the first time that Electron’s first stage first made it safely through the wall intact. Unlike SpaceX’s Falcon 9 that slows during descent with a series of engine burns, Rocket Lab’s Electron orients itself for the right “angle of attack” to slow down during re-entry.
The first stage of Electron has undergone a number of block upgrades to enable re-entry in one piece. The tenth mission featured the use of the upgraded Electron booster equipped with guidance and navigation hardware, as well as, a reaction control system (RCS) to gently control and reorient the first-stage during re-entry. The RCS was able to keep the booster adequately oriented and slowed it to under 900 kilometers per hour (560mph) for a controlled sea-level impact. The following eleventh mission dubbed “Birds of a Feather” in February 2020, also featured a successful controlled descent of the upgraded Electron first stage.
The final step in slowing the Electron down enough to be recovered by a grappling hook suspended by a helicopter was to develop and test a parachute system. Beck posted a teaser of the prototype parachute on Twitter in early February promising low altitude drop tests to follow soon after. Rocket Lab stated that the successful “mid-air recovery” test occurred weeks prior to the now mandated “Safer at Home” orders given in New Zealand amid the global COVID-19 pandemic.
As reported by Michael Sheetz of CNBC, Rocket Lab will continue to test recovery efforts on an undisclosed mission scheduled for later this year. That test will exercise Electron’s RCS block upgrades and parachute system to a greater extent to slow the booster to a point of survivability upon impact with the water – a speed of about 8kilometers per hour (5mph).
Like SpaceX, Rocket Lab targets a reduction of launch costs and an increase in launch capabilities with full first-stage reusability. The dedicated launcher of small satellites also strives to further open access to space for the rapidly expanding small satellite market.
Currently, Rocket Lab has two operational launch pads, one on New Zealand’s Mahia Penninsula and another at the Mid-Atlantic Regional Spaceport at NASA’s Wallops Flight Facility in Virginia. Later this year a second location on New Zealand’s Mahia Penninsula will come online drastically increasing Rocket Lab’s launching capabilities.
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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.”
News
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
