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Rocket Lab’s first step towards SpaceX-style rocket reuse set for next Electron launch

A render of a Rocket Lab Electron first stage booster as it re-enters the Earth's atmosphere. (Rocket Lab)

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Just over a year ago, Rocket Lab announced intentions to recover the first-stage of its small Electron launch vehicle, potentially making it the second private company on Earth – after SpaceX – to attempt to recover and reuse an orbital-class rocket.

In a media call earlier this week, Rocket Lab founder and CEO, Peter Beck, revealed that the first recovery attempt has been expedited to mid-November and will occur following the next flight of Rocket Lab’s Electron rocket.

A glimpse of the Electron booster of the “Return to Sender” sixteenth mission that Rocket Lab intends to recover fully intact. (Rocket Lab)
A glimpse of the Rocket Lab Electron booster of the “Return to Sender” sixteenth mission that Rocket Lab intends to recover fully intact. (Rocket Lab)

Like competitor SpaceX, Rocket Lab aims to recover its first stage Electron booster to decrease production time and increase launch cadence. Rocket Lab now has three launchpads to launch from and is licensed by the Federal Aviation Administration to carry out up to 130 launches per calendar year. In order to increase the launch cadence of the Electron, production times need to decrease. This can effectively be accomplished with the recovery, refurbishment, and reuse of the small, carbon composite rocket booster.

Recovery Doesn’t Happen Overnight

Initially, the first step of recovering an expended first stage – a guided and controlled soft water landing under a parachute and retrieval by sea-vessel – was intended for the seventeenth launch of the Electron prior to the end of this calendar year. However, Rocket Lab is now targeting the sixteenth launch for the first recovery attempt, a mission appropriately nicknamed “Return to Sender.” When asked what prompted the move to an earlier launch, Beck stated to reporters, “the guys got it done in time. With a new development like this, it’s always very dependent on how the program runs and the program ran very successfully.”

Rocket Lab has been working toward this recovery attempt for quite some time. In late 2018, Rocket Lab began collecting data during launches to inform future recovery efforts and determine whether or not it would even be feasible with a small-class rocket. The first major block upgrade of the Electron booster debuted on the tenth flight, “Running Out of Fingers,” in December 2019.

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Rocket Lab’s first Electron booster to be outfitted with cold gas attitude control thrusters debuted in December 2019 during the first test of getting through “the wall.” (Rocket Lab)

The first recovery milestone, a task Beck called getting through “the wall,” was achieved following the tenth flight. And again in January 2020 following a successful eleventh flight of Electron. The “wall” Beck refers to is the Earth’s atmosphere. Returning a booster through the atmosphere intact requires extreme precision in terms of re-entry orientation and how efficient the heat shield is.

Because the Electron is a small-class rocket, Rocket Lab was able to collect enough data from previous flights to determine that the carbon composite frame could withstand a fall through the atmosphere given a precise enough angle of attack to sufficiently distribute thermal loads. According to Beck, the process is referred to as an “aero thermal decelerator.”

Following in SpaceX’s footsteps, Rocket Lab wants to become the second company in the world to reuse orbital-class rocket boosters. (USAF/Rocket Lab)

Small Rocket Following in Big Footsteps

SpaceX, Elon Musk’s space exploration company pioneered booster landing, recovery, and reuse efforts when the first Falcon 9 booster to successfully land returned to Landing Zone 1 at Cape Canaveral Air Force Station in Florida on December 21, 2015. SpaceX approaches the process of booster re-entry in a different way than what Rocket Lab has decided to attempt with Electron.

The Falcon 9 boosters perform a re-orientation flip and use the engines to perform what is known as a boost-back burn to set the rocket on the path to return to the Earth’s surface. The rocket then autonomously deploys titanium grid-fins that essentially steer, and slow the booster down as it falls through the atmosphere. Finally, the engines are re-ignited during a series of burns, and landing legs are deployed to propulsively land either at sea aboard an autonomous spaceport droneship or back on land at a landing zone.

The booster of Rocket Lab’s tenth mission in 2019 was outfitted with guidance and navigation hardware and cold gas attitude control thrusters used to flip and orient the booster to withstand the stresses of re-entry. Otherwise, no other hardware was incorporated to reduce the stresses of re-entry or slow the vehicle as it fell through the atmosphere. The booster made it through “the wall” intact and eventually slowed to a rate less than 900km per hour by the time it reached sea-level for an expected impact.

Eventually, Rocket Lab imagines its small Electron booster to be caught during a controlled descent under parachute canopy with a specially equipped helicopter and grappling hook. Beck and his team spent weeks outfitting a test article with prototype parachutes that were manufactured in-house.

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A low-altitude drop test of a test article to simulate an Electron first stage was performed and a helicopter was able to snag the test article mid-air and deliver it one piece. Essentially, this proved that the concept was at least feasible and the small-class rocket could in fact be fully recovered to eventually be refurbished and reused. Since the completion of this drop test in April of 2020, the parachute design has been reevaluated and many more drop tests have been conducted. The final drop test with a more traditional system of a drogue parachute and an 18m ringsail type main parachute occurred in August of 2020 with a first stage simulator.

Next up, Rocket Lab plans to use the finalized design of the parachute system to bring Electron home safely for a soft landing in the Pacific Ocean. After which the booster will be collected by a recovery vessel, similar to the process that SpaceX uses to scoop its payload fairings from the water.

The Rocket Lab Electron first stage booster intended for the sixteenth flight, “Return to Sender,” is seen being outfitted with parachute systems inside of the specially designated white interstage on the factory floor in Auckland, New Zealand. (Rocket Lab)

“Bringing a whole first stage back intact is the ultimate goal, but success for this mission is really about gaining more data, particularly on the drogue and parachute deployment system,” said Beck. With the parachute system verified the teams should be able to make any further iterations for a full capture and recovery effort on a future mission relatively quickly.

Rocket Lab will try to fully recover the “Return to Sender” expended first-stage booster once it separates approximately two and a half minutes after liftoff from Launch Complex 1 on the Mahia Penninsula of New Zealand. Electron will support a rideshare payload of thirty smallsats. The window to launch the sixteenth Electron mission opens on  November 16 UTC (November 15 PT / ET). A hosted live webcast of the launch and recovery attempt will be provided on the company website approximately fifteen minutes prior to liftoff.

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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.

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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.

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Tesla piggybacks recent Supercharger feature with update that takes it further

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

 

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