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Rocket Lab to resume launches following in-flight anomaly investigation
Less than a month after the complete loss of customer payload due to an in-flight anomaly, Rocket Lab has announced that it is ready to return its small-class Electron rocket to flight. Company CEO, Peter Beck, during a media briefing Friday (July 31) said that the Electron second-stage “re-entered the atmosphere and burned up” resulting in a failed July 4 launch of the Electron and complete loss the customer payload of seven small satellites. Beck went on to state that through a collaborative investigation with the Federal Aviation Administration Rocket Lab was “able to quickly reconstruct what happened and the AIB board (Accident Investigation Board) was able to confidently narrow down the issue to a single electrical connection.”

The thirteenth flight of the Electron carried seven small satellites, all Earth-imaging inspiring the “Pics Or It Didn’t Happen” mission name. The rocket initially experienced a flawless launch from the company’s Launch Complex-1A on New Zealand’s Mahia Penninsula and everything seemed like it was going to plan until the video feed cut out unexpectedly shortly after the nominal ignition of the second-stage which was intended to carry the payloads to orbit.
The launch was completely event free during the first-stage ascent, stage separation, second stage ignition, and payload fairing jettison, then trouble occurred. Beck stated that the electrical connection that went bad during the second-stage of the flight was “incredibly unusual because it was able to evade all of the pre-flight acceptance testing.” Beck went on to explain that “while all of the testing showed no issues, after a period of time one of the joints had high resistance and that high resistance led to heating. That heating then led to thermal expansion of one of the components. That thermal expansion and heating enabled some of the potting components – that are around that joint to keep it secure from vibration – to flow.”
Once the potting compound used to secure electrical connections was able to heat up and essentially melt – or began to flow – the electrical connection become unsecured and led to the interruption in electrical current throughout the second-stage. Beck stated that “when the video stops (in the webcast) is exactly the point (of failure).” Although the video cut out, Rocket Lab ground stations continued to receive telemetry data of the flight’s progress due to the amount of redundancy with the systems aboard Electron “telemetry is the only way you can reconstruct this stuff so we have a very high priority of those (data) channels” Beck said.
With the immense amount of data that was received during the flight and throughout the second-stage shutdown Rocket Lab was able to quickly determine the cause of the error and perform tests to determine exactly what occurred during the failed flight. “The vehicle as it flies every flight has just a huge amount of instrumentation. That coupled with a graceful shutdown coupled with full telemetry stream throughout the whole anomaly, we were really able to quickly reconstruct what happened” Beck said.
The vast amount of data and the ability to sufficiently replicate the incident now means that Rocket Lab has a plan of action in place to mitigate any failures – of this nature – on future missions. “We can actually mitigate (the anomaly) very easily through a slight change in production processes, but more importantly we can screen for it in our current vehicles and stock through more in-depth testing procedures.”
To that end, the Rocket Lab Electron is set to return to flight in August, an impeccable turn around time following an anomaly investigation.”I’m very proud of the way the team has been able to identify this issue and rectify it so quickly” Beck said. He gave high praise to the entire Rocket Lab team for relentlessly working toward determining, not only the cause of the anomaly but working toward a solution for a quick return to flight. “Literally ten minutes after we saw some anomalous behavior during the flight, the team already started to work it and they haven’t stopped. They’ve been relentless” Beck said.
The customer payload that will fly aboard the return to flight and fourteenth mission of Electron launch is expected to be announced very soon. Rocket Lab did state that following a successful launch from the LC-1A complex in New Zealand, the following mission would be the first to take place from the brand new Launch Complex 2 located at the Mid-Atlantic Regional Spaceport at NASA Wallops in Virginia. Although an American private company, Rocket Lab predominately launches from New Zealand. The upcoming mission will be the first Electron flight to occur from American soil.
Beck closed the media briefing by stating that Rocket Lab looks forward to returning to operational status and launching Electrons every month, if not bi-weekly. He expressed that Rocket Lab is looking to the future and hopes to achieve a full recovery effort of the first stage booster via a helicopter and a specially designed grappling hook with the seventeenth flight of Electron. He also hinted that “there’ll be a couple of other little surprises as well, as we execute some other programs that have been cooking up in the background.”
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.
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Tesla piggybacks recent Supercharger feature with update that takes it further
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:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
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.
News
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
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:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
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.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK— TESLARATI (@Teslarati) May 29, 2026
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:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L— TESLARATI (@Teslarati) June 3, 2026
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: