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Rocket Lab briefly catches Electron booster with a helicopter on first try
In a significant achievement, public launch provider Rocket Lab has – with a few caveats – successfully used a helicopter to catch the booster of its Electron rocket out of mid-air on the very first attempt.
The company began working on ways to recover and reuse the booster of its tiny Electron rocket in 2019, going back on a promise repeatedly made by founder and CEO Peter Beck in the years prior. Due to just how small the Electron rocket is, it was generally assumed that Beck wasn’t wrong to avoid attempting to recover or reuse its parts of it. However, that attitude quickly changed when the need to ramp up launch cadence became a leading priority. Soon after, Beck revealed that Rocket Lab engineers had looked more carefully at the problem and concluded that Electron booster recovery was more feasible than assumed.
Once the problem was no longer deemed insurmountable, the allure of reuse – intrinsically multiplying the effectiveness of any given production line if done right – was irresistible.
While the change in attitude made Rocket Lab the second company after SpaceX to begin seriously developing the ability to recover and reuse orbital-class liquid rocket boosters, the approach it would need to take for a rocket as small as Electron was almost nothing like that used by Falcon boosters. Instead of multiple in-flight engine ignitions, supersonic retropropulsion, steerable fins, and a propulsive landing, Electron would rely on several parachutes to slow itself down, use small thrusters (not unlike Falcon) for attitude control, and be actively captured out of mid-air by a crewed helicopter.
Ironically, demonstrating the sheer size gap between Electron and Falcon 9, Electron booster recovery more closely resembles Falcon 9 fairing recovery. Weighing in at around one ton (~2200 lb) per half, or about as heavy as an entire Electron rocket booster, each fairing half mainly just controls its attitude with cold-gas thrusters while passively reentering Earth’s atmosphere. Fairing halves then deploy a GPS-guided parafoil and gently splash down on the ocean surface before being fished out of the water by a waiting ship.
That is exactly how Rocket Lab trialed Electron recovery on several prior attempts, fishing intact boosters out of the Pacific Ocean after gentle ocean landings. For a while, SpaceX even attempted to catch fairings out of mid-air – albeit with a highly-modified ship and net instead of a helicopter and hook. However, when the company realized it could easily reuse fairing halves that landed in the ocean, it fully abandoned catch attempts.
In Electron’s case, it’s no surprise that Rocket Lab still pursued catch-based recovery while SpaceX was simultaneously giving up on the practice. Put simply, it would be incredibly difficult to reliably and affordably reuse a liquid rocket booster – and liquid rocket engines especially – after dunking them in saltwater.
That’s also why the success of Rocket Lab’s first operational catch attempt has caveats. While the company did successfully catch the booster out of mid-air, the pilot – who holds final authority for the sake of safety – observed unusual behavior not seen during testing after hooking Electron and chose to release the booster early. Thankfully, it still managed a soft landing in the ocean and was recovered by ship, but despite statements from Beck to the contrary, that seawater exposure will almost certainly make it impossible to fully reuse. To call the attempt a total success, the helicopter would have needed to drop the booster off on the recovery ship’s deck, fully avoiding a bath.
Above all else, even if the catch didn’t last, Rocket Lab successfully launched 34 small satellites and payloads into orbit for several paying customers and briefly caught the booster that launched them with a helicopter. The attempt was arguably far more successful than not and likely leaves Rocket Lab just a little more practice and a few small optimizations away from a perfect recovery. Then the company can shift its focus to the next goal: the first Electron booster reuse.
Elon Musk
Elon Musk’s X will start using a Tesla-like software update strategy
The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.
Elon Musk’s social media platform X will adopt a Tesla-esque approach to software updates for its algorithm.
The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.
X’s updates to its updates
As per Musk in a post on X, the social media company will be making a new algorithm to determine what organic and advertising posts are recommended to users. These updates would then be repeated every four weeks.
“We will make the new 𝕏 algorithm, including all code used to determine what organic and advertising posts are recommended to users, open source in 7 days. This will be repeated every 4 weeks, with comprehensive developer notes, to help you understand what changed,” Musk wrote in his post.
The initiative somewhat mirrors Tesla’s over-the-air update model, where vehicle software is regularly refined and pushed to users with detailed release notes. This should allow users to better understand the details of X’s every update and foster a healthy feedback loop for the social media platform.
xAI and X
X, formerly Twitter, has been acquired by Elon Musk’s artificial intelligence startup, xAI last year. Since then, xAI has seen a rapid rise in valuation. Following the company’s the company’s upsized $20 billion Series E funding round, estimates now suggest that xAI is worth tens about $230 to $235 billion. That’s several times larger than Tesla when Elon Musk received his controversial 2018 CEO Performance Award.
As per xAI, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others. Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
News
Tesla FSD Supervised wins MotorTrend’s Best Driver Assistance Award
The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system.
Tesla’s Full Self-Driving (Supervised) system has been named the best driver-assistance technology on the market, earning top honors at the 2026 MotorTrend Best Tech Awards.
The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system. And it wasn’t even close.
MotorTrend reverses course
MotorTrend awarded Tesla FSD (Supervised) its 2026 Best Tech Driver Assistance title after extensive testing of the latest v14 software. The publication acknowledged that it had previously criticized earlier versions of FSD for erratic behavior and near-miss incidents, ultimately favoring rivals such as GM’s Super Cruise in earlier evaluations.
According to MotorTrend, the newest iteration of FSD resolved many of those shortcomings. Testers said v14 showed far smoother behavior in complex urban scenarios, including unprotected left turns, traffic circles, emergency vehicles, and dense city streets. While the system still requires constant driver supervision, judges concluded that no other advanced driver-assistance system currently matches its breadth of capability.
Unlike rival systems that rely on combinations of cameras, radar, lidar, and mapped highways, Tesla’s FSD operates using a camera-only approach and is capable of driving on city streets, rural roads, and freeways. MotorTrend stated that pure utility, the ability to handle nearly all road types, ultimately separated FSD from competitors like Ford BlueCruise, GM Super Cruise, and BMW’s Highway Assistant.
High cost and high capability
MotorTrend also addressed FSD’s pricing, which remains significantly higher than rival systems. Tesla currently charges $8,000 for a one-time purchase or $99 per month for a subscription, compared with far lower upfront and subscription costs from other automakers. The publication noted that the premium is justified given FSD’s unmatched scope and continuous software evolution.
Safety remained a central focus of the evaluation. While testers reported collision-free operation over thousands of miles, they noted ongoing concerns around FSD’s configurable driving modes, including options that allow aggressive driving and speeds beyond posted limits. MotorTrend emphasized that, like all Level 2 systems, FSD still depends on a fully attentive human driver at all times.
Despite those caveats, the publication concluded that Tesla’s rapid software progress fundamentally reshaped the competitive landscape. For drivers seeking the most capable hands-on driver-assistance system available today, MotorTrend concluded Tesla FSD (Supervised) now stands alone at the top.
News
Elon Musk’s Grokipedia surges to 5.6M articles, almost 79% of English Wikipedia
The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago.
Elon Musk’s Grokipedia has grown to an impressive 5,615,201 articles as of today, closing in on 79% of the English Wikipedia’s current total of 7,119,376 articles.
The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago. Needless to say, it would only be a matter of time before Grokipedia exceeds English Wikipedia in sheer volume.
Grokipedia’s rapid growth
xAI’s vision for Grokipedia emphasizes neutrality, while Grok’s reasoning capabilities allow for fast drafting and fact-checking. When Elon Musk announced the initiative in late September 2025, he noted that Grokipedia would be an improvement to Wikipedia because it would be designed to avoid bias.
At the time, Musk noted that Grokipedia “is a necessary step towards the xAI goal of understanding the Universe.”
Grokipedia was launched in late October, and while xAI was careful to list it only as Version 0.1 at the time, the online encyclopedia immediately earned praise. Wikipedia co-founder Larry Sanger highlighted the project’s innovative approach, noting how it leverages AI to fill knowledge gaps and enable rapid updates. Netizens also observed how Grokipedia tends to present articles in a more objective manner compared to Wikipedia, which is edited by humans.
Elon Musk’s ambitious plans
With 5,615,201 total articles, Grokipedia has now grown to almost 79% of English Wikipedia’s article base. This is incredibly quick, though Grokipedia remains text-only for now. xAI, for its part, has now updated the online encyclopedia’s iteration to v0.2.
Elon Musk has shared bold ideas for Grokipedia, including sending a record of the entire knowledge base to space as part of xAI’s mission to preserve and expand human understanding. At some point, Musk stated that Grokipedia will be renamed to Encyclopedia Galactica, and it will be sent to the cosmos.
“When Grokipedia is good enough (long way to go), we will change the name to Encyclopedia Galactica. It will be an open source distillation of all knowledge, including audio, images and video. Join xAI to help build the sci-fi version of the Library of Alexandria!” Musk wrote, adding in a later post that “Copies will be etched in stone and sent to the Moon, Mars and beyond. This time, it will not be lost.”
Elon Musk’s X will start using a Tesla-like software update strategy
Tesla FSD Supervised wins MotorTrend’s Best Driver Assistance Award
