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SpaceX will use a parasail guidance system to land Falcon 9’s fairing into a huge net
SpaceX recovery vessel Mr Steven officially departed Port of Los Angeles on the evening of July 23 and is speeding towards its first Falcon 9 fairing recovery attempt since a major series of refits and upgrades. With massive new arms and usable net area increased fourfold, chances are better than they’ve ever been for the iconic clawboat to at last snag its first true ‘catch’ of a parasailing payload fairing.
Set to be stationed roughly 900 km (600 mi) southwest of the California coast, Mr Steven’s vast new net should dramatically even the playing field, cutting the effective error margin for each fairing catch attempt by as much as 60% on its own. An extra ~30 meters of net both length and width-wise would functionally act as a cushion for the ~50-meter accuracy the fairings have demonstrated thus far (i.e. halves missed Mr Steven’s smaller, original net by 50 m).
Still, the question remains for many people: how exactly does Mr Steven ‘catch’ a clamshell fairing half, and how does that fairing half find its way to Mr Steven?
A parasail and a prayer
Each Falcon 9 fairing is a two-piece 1600 kg sandwich of carbon fiber composites and aluminum honeycomb, as well as internal dressings of soundproofing panels, cold nitrogen gas thrusters for attitude control in vacuum, and finally the parafoil and control hardware/avionics necessary to safely recover the fragile halves. Stretching 13m long and 5.2m wide (43ft x 17ft), SpaceX has partially worked with contractors already experts in the art of autonomously guiding parasails with payloads up to 10,000 kg (22,000 lb), and doing so with some level of accuracy.
Ultimately, GPS-guided parafoils have been done successfully many times over in the past two or so decades. For the most part, the problems preventing SpaceX from recovering fairings in Mr Steven’s net have been almost entirely solved: the fact that six or more halves have been recovered intact after their Falcon 9 launches confirm that much. SpaceX engineers have somehow found a way to allow a highly flexible, lightweight, and aerodynamically awkward lifting body to survive a journey from heights of 110+ km and speeds of several kilometers per second.
One half of SpaceX’s Iridium-6/GRACE-FO just moments before touchdown on the Pacific Ocean. (SpaceX)
Per the extraordinarily minimalist appearance of each half’s parafoil recovery hardware and the lack of any clear control mechanism, it’s very likely that SpaceX has sided with an in-canopy (canopy=the parachute) system of actuators tasked with subtly warping the parafoil, comparable in functionality to a crude replica of a bird’s wing.
When in doubt, copy birds
Birds fly with such extraordinary precision thanks to granular control surfaces known by most as “feathers”, whereby slightly tweaking the location of feathers or changing the shape of the wing can result in a huge range of behaviors. In-wing actuation and control is an elegant – if complex – solution for the problems posed by parafoil guidance. In this case, SpaceX’s contractor (MMIST) likely deserves at least some of the credit for several nearly successful catch attempts thus far, delivering each unpowered fairing half from an altitude of 110+ kilometers, speeds of more than 2 kilometers per second, and parabolic trajectories stretching over 800 kilometers to a square roughly 100m by 100m.
If each halve’s accuracy can be cut by 75% of that to an area of 50m by 50m, SpaceX and Mr Steven should have no trouble in reliably and routinely catching Falcon 9 payload fairings for rapid reusability, perhaps one day translating into a similar approach for the recovery of Falcon 9’s orbital upper stages and SpaceX’s Crew and Cargo Dragon spacecraft. Mr Steven’s new net upgrade is meant to accomplish exactly that by offering a much larger surface area for Falcon fairings to ‘aim’ at.
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- NASA’s X-38 project demonstrated the functionality of autonomous parasail guidance in 1999. (NASA)
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- By tweaking, pulling, and tensing or loosening any number of those lines with servo motors and actuators, one can very accurately control the flight characteristics of a parafoil. (NASA)
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- From left to right, my best guess for each fairing is PAZ, Iridium-6 Half 1, Iridium-5, and Iridium-6 Half 2. (Pauline Acalin)
Once the massive 800-kilogram components can be captured in flight by Mr. Steven, it should be a fairly simple prospect for SpaceX to move from recovery to reuse, potentially saving as much as 10% ($6m) of the cost of each Falcon 9 and Falcon Heavy launch in one simple, fell swoop. Perhaps even more importantly, fairing reuse would remove some of the pressure placed on SpaceX’s composite production floor, which currently must support the fabrication of dozens of fairing halves, booster interstages, payload adapters, Falcon Heavy nose cones, and much more, including smaller subassemblies required for both Crew and Cargo Dragons.
BFR is gonna need all the composite design and manufacturing expertise it can get.
For prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket recovery fleet (including fairing catcher Mr Steven) check out our brand new LaunchPad and LandingZone newsletters!
Tesla has its answer to grow its automotive sales over the next few years, TD Cowen analyst Itay Michaeli says, but it just has to bring it to the U.S.
On Thursday, Michaeli reiterated his $490 price target and the ‘Buy’ rating he already held on Tesla stock (NASDAQ: TSLA). However, its automotive division has struggled to show sequential growth over the past few years, mostly due to its focus on AI and Full Self-Driving. Tesla already axed two of its lower-volume vehicles with the Model S and Model X earlier this year.
However, Tesla does not need to engineer an entire new vehicle to trigger an upward tick in sales; it just has to bring it from China to the U.S., Michaeli said.
He is talking about the Model Y L, a slightly larger version of the all-electric crossover that is already available in China. U.S. customers have been pleading with CEO Elon Musk to bring it to the country since its launch in Asia last year, but he’s not convinced of it because of the advent of self-driving and its importance in this particular market.
The problem is that Tesla owners have been requesting something larger that could fit a typical American family. The Model Y L is slightly larger than the standard Model Y, but some are concerned that it could still be too small to fit what most people might need.
Instead, they have asked for a full-size SUV from Tesla.
Tesla gives big hint that it will build Cyber SUV, smaller Cybertruck
Nevertheless, the Model Y L still presents a great opportunity for Tesla in the U.S., and Michaeli says that there is an additional sales opportunity of about 100,000 units, with demand potential falling somewhere between 60,000 and 135,000 units.
TD Cowen’s note to investors also analyzed that Tesla’s growth could come from a stock perspective as well, positively impacting the stock price, as it has been widely reliant on vehicle sales, even though Tesla has truly phased itself away from that being an important metric.
Tesla stands to gain greatly from the introduction of the Model Y L in the U.S., but only if Elon Musk sees it as a viable fit for the market. Families may need to see Tesla bring something larger to the U.S., or they might be forced to buy from another automaker that offers something that fits is needs for more interior space to haul around the kids.
Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.
The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.
This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.
Following future rollout of FSD V14 Lite for HW3 vehicles in the US, we plan on expanding V14 Lite to additional international markets.
This update ensures that HW3 vehicle owners will continue to benefit from ongoing software updates.
Since international rollout is subject to…
— Tesla (@Tesla) April 29, 2026
It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”
Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”
Anyone who purchased full self-driving will get FSD computer upgrade for free. This is the only change between Autopilot HW2.5 & HW3. Going forward “HW3” will just be called FSD Computer, which is accurate. No change to vehicle sensors or wire harness needed. This is v important. https://t.co/lICMpT7xnX
— Elon Musk (@elonmusk) March 29, 2019
However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”
Tesla has made some effort to remedy these Hardware 3 owners by offering:
- Discounted trade-ins toward AI4 cars
- Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
- Full Self-Driving v14 Lite
The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.
Expectations for Tesla v14 Lite for Hardware 3 Owners
The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.
Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.
Tesla reveals its plans for Hardware 3 owners who are eager for updates
This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.
There should also be a handful of additional features that are available on AI4 cars, such as:
- Starting Full Self-Driving from Park
- Auto Shift
- Streaks
- Speed Profiles
- Improved Dynamics, like Pulling Over for Emergency Vehicles
Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.
We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
Tesla has its answer to auto growth, it just has to bring it to the U.S.: analyst
Tesla Hardware 3 owners could be made whole this month
