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SpaceX makes rocket fairing catch look easy with “autopilot” recovery
SpaceX has made Falcon 9 rocket fairing recovery look easy in a video of the latest nosecone catch, published hours after the company’s successful Starlink-10 launch.
Posted on Twitter by Elon Musk not long after a SpaceX webcast host and engineer revealed that one of two fairing catch attempts had been successful, the video offers the best in-action view yet of an operational fairing recovery. Backed by elevator music, it also certainly carries a clear signature of the CEO’s humor, carrying the torch from previous hits like “How Not to Land an Orbital Rocket Booster“, “Grasshopper vs. Cows“, and the successful launch of a Tesla Roadster and spacesuit-wearing mannequin into interplanetary space.
Lackadaisical theme song aside, Musk also shed some light on the actual process of catching Falcon fairings with giant ships and nets. Those new details point towards a major improvement made in the last six or so months that’s helped enable an unprecedented three successful fairing catches in less than 30 days.
According to Musk, SpaceX caught the Starlink-10 fairing half with both recovery ship GO Ms. Tree and the parasailing fairing half “operating on (SpaceX) autopilot.” While his comments leave a great deal of room for interpretation, they seem to imply that SpaceX has found ways to make fairing recovery almost as automatic as Falcon booster landings. During Falcon first stage recovery, the booster and drone ship technically operate as if the other doesn’t exist – the ship simply station keeps in a very specific location and the booster targets that same specific location.
Fairing recovery, as SpaceX would quickly find out, was a dramatically more complex and touchy ballet of humans, machinery, and rocket parts. Little is known about the specifics of fairing recovery beyond the fact that fairing halves have cold gas thrusters for positioning in vacuum and use GPS-guided parafoils to travel towards a rough landing zone. For most prior attempts, it’s believed that one or several crew members were responsible for manually maneuvering the recovery ship during catch attempts.
Including controlled helicopter drop tests, SpaceX failed a dozen or more consecutive fairing catch attempts and even shipped the entire operation from California to Florida before the first successful catch finally came in June 2019. In an apparent fluke, SpaceX managed to catch another fairing half less than two months later. Five months later, SpaceX secured its third fairing catch – possibly the very same fairing half caught on Monday. Another six months after #3, SpaceX hit a major milestone, simultaneously catching both halves of a Falcon fairing with two separate ships on July 21st, 2020.
Now, just 29 days after that spectacular double catch, SpaceX has caught another Falcon 9 fairing half – tempered only by the fact that sister ship Ms. Chief missed her own catch attempt. While it could certainly be a fluke of luck akin to SpaceX’s back-to-back STP-2 and Amos-17 catches, Musk’s note that “fairing chute control & ship control are closing the loop locally” points to cautious optimism.
Cryptic as ever, the comment seems to imply that SpaceX has debuted – or at least recently introduced – a kind of cooperative, autonomous navigation system that allows Falcon fairings and their recovery ships to communicate and function as a unit. For now, we’ll have to wait for the next catch attempt to get a better idea of just how much of a step forward SpaceX has made. SAOCOM 1B, SpaceX’s next Falcon 9 fairing recovery (and launch), is currently scheduled no earlier than (NET) August 27th.
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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.
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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
