News
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.
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
News
Tesla Model Y Standard Long Range RWD launches in Europe
The update was announced by Tesla Europe & Middle East in a post on its official social media account on X.
Tesla has expanded the Model Y lineup in Europe with the introduction of the Standard Long Range RWD variant, which offers an impressive 657 km of WLTP range.
The update was announced by Tesla Europe & Middle East in a post on its official social media account on X.
Model Y Standard Long Range RWD Details
Tesla Europe & Middle East highlighted some of the Model Y Standard Long Range RWD’s most notable specs, from its 657 km of WLTP range to its 2,118 liters of cargo volume. More importantly, Tesla also noted that the newly released variant only consumes 12.7 kWh per 100 km, making it the most efficient Model Y to date.
The Model Y Standard provides a lower entry point for consumers who wish to enter the Tesla ecosystem at the lowest possible price. While the Model 3 Standard is still more affordable, some consumers might prefer the Model Y Standard due to its larger size and crossover form factor. The fact that the Model Y Standard is equipped with Tesla’s AI4 computer also makes it ready for FSD’s eventual rollout to the region.
Top Gear’s Model Y Standard review
Top Gear‘s recent review of the Tesla Model Y Standard highlighted some of the vehicle’s most notable features, such as its impressive real-world range, stellar infotainment system, and spacious interior. As per the publication, the Model Y Standard still retains a lot of what makes Tesla’s vehicles well-rounded, even if it’s been equipped with a simplified interior.
Top Gear compared the Model Y Standard to its rivals in the same segment. “The introduction of the Standard trim brings the Model Y in line with the entry price of most of its closest competition. In fact, it’s actually cheaper than a Peugeot e-3008 and costs £5k less than an entry-level Audi Q4 e-tron. It also makes the Ford Mustang Mach-E look a little short with its higher entry price and worse range,” the publication wrote.
Elon Musk
Elon Musk’s xAI bets $20B on Mississippi with 2GW AI data center project
The project is expected to create hundreds of permanent jobs, dramatically expand xAI’s computing capacity, and further cement the Mid-South as a growing hub for AI infrastructure.
Elon Musk’s xAI plans to pour more than $20 billion into a massive new data center campus in Southaven, Mississippi, marking the largest single economic development project in the state’s history.
The project is expected to create hundreds of permanent jobs, dramatically expand xAI’s computing capacity, and further cement the Mid-South as a growing hub for AI infrastructure.
xAI goes MACROHARDRR in Mississippi
xAI has acquired and is retrofitting an existing facility in Southaven to serve as a new data center, which will be known as “MACROHARDRR.” The site sits near a recently acquired power plant and close to one of xAI’s existing data centers in Tennessee, creating a regional cluster designed to support large-scale AI training and inference.
Once completed, the Southaven facility is expected to push the company’s total computing capacity to nearly 2 GW, placing it among the most powerful AI compute installations globally. The data center is scheduled to begin operations in February 2026.
Gov. Tate Reeves shared his optimism about the project in a press release. “This record-shattering $20 billion investment is an amazing start to what is sure to be another incredible year for economic development in Mississippi. Today, Elon Musk is bringing xAI to DeSoto County, a project that will transform the region and bring amazing opportunities to its residents for generations. This is the largest economic development project in Mississippi’s history,” he said.
xAI’s broader AI ambitions
To secure the investment, the Mississippi Development Authority approved xAI for its Data Center Incentive program, which provides sales and use tax exemptions on eligible computing hardware and software. The City of Southaven and DeSoto County are also supporting the project through fee-in-lieu agreements aimed at accelerating development timelines and reducing upfront costs.
Founded in 2023 by Elon Musk, xAI develops advanced artificial intelligence systems focused on large-scale reasoning and generative applications. Its flagship product, Grok, is integrated with the social media platform X, alongside a growing suite of APIs for image generation, voice, and autonomous agents, including offerings tailored for government use.
Elon Musk highlighted xAi’s growth and momentum in a comment about the matter. “xAI is scaling at an immeasurable pace — we are building our third massive data center in the greater Memphis area. MACROHARDRR pushes our Colossus training compute to ~2GW – by far the most powerful AI system on Earth. This is insane execution speed by xAI and the state of Mississippi. We are grateful to Governor Reeves for his support of building xAI at warp speed,” Musk said.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Tesla Model Y Standard Long Range RWD launches in Europe
Elon Musk’s xAI bets $20B on Mississippi with 2GW AI data center project
