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Rocket Lab aces first Electron rocket launch from US soil
After many delays, Rocket Lab has successfully launched an Electron rocket from US soil for the first time.
The company’s small Electron rocket lifted off at 6 pm EST (23:00 UTC), January 24th, from a pad built at NASA’s Wallops Flight Facility. About nine minutes later, the Electron upper stage reached low Earth orbit (LEO) and shut down its Rutherford Vacuum engine. 90 minutes after liftoff, the rocket finished deploying three new Hawkeye 360 Earth observation satellites, marking the successful completion of Rocket Lab’s first American launch.
Rocket Lab’s workhorse rocket is relatively unique. Electron is the only rocket in the world to successfully reach orbit with structures built almost entirely out of carbon fiber composites. It’s also the only orbital-class rocket in the world that uses engines with battery-powered pumps. Electron measures 18 meters (59 ft) tall, 1.2 meters (4 ft) wide, and weighs about 13 tons (~28,500 lbs) at liftoff, making it one of the smallest orbital rockets ever. It sells for about $7.5 million and can launch up to 200 kilograms (440 lb) to a sun-synchronous orbit or 300 kilograms (660 lb) to LEO.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
Electron is by far the cheapest widely-available option for a dedicated rocket launch. Although a fully-utilized Electron costs more than $25,000 per kilogram, Rocket Lab has found a decent number of customers that find the benefits worth the cost premium. SpaceX currently offers rideshare launch services for just $5,500 per kilogram. But a dedicated Electron launch buys customers white-glove service and control over the exact timing and target orbit, among other perks.
Many companies are developing orbital transfer vehicles (space tugs) to combine the affordable cost of rideshare launches with customized orbits and deployment timing, but rideshare payloads will always have to grapple with inflexible launch timing. SpaceX will not delay a launch carrying 50-100+ other payloads because one satellite is running behind schedule.
Rocket Lab’s history shows that plenty of companies are willing to pay far more for the convenience of a direct launch. Electron’s first launch from US soil was the rocket’s 30th successful launch and 33rd launch since its May 2017 debut. In 2022, Rocket Lab managed to launch eight times in eight months and nine times overall. Had bad winter weather not conspired to delay its first US launch, the company would have broken into the double digits for the first time and likely kept its monthly launch streak alive.
Sisyphean delays
Rocket Lab’s first American launch is no stranger to delays. The company announced plans to build a US launch site in October 2018. At the time, Rocket Lab hoped to launch its first Electron out of Virginia’s NASA Wallops Flight Facility as early as Q3 2019. For a number of reasons, many of which were outside of Rocket Lab’s control, that didn’t happen.
Rocket Lab began constructing its Launch Complex 2 (LC-2) pad in Virginia in February 2019 and finished construction by the start of 2020. At that point, the then-private company stated that LC-2 was on track to host its first Electron rocket launch as early as Q2 2020. In Q2, Rocket Lab even shipped an Electron to Virginia and completed a range of pad shakedown tests, including a wet dress rehearsal (WDR) and static fire test.
Rocket Lab isn’t entirely free of fault. However, nearly all of the blame for that delay appears to lie with NASA, who required that Rocket Lab use the agency’s own software for a new kind of “flight termination system.” Rocket Lab had already successfully developed and repeatedly flown its own autonomous flight termination system for use at its New Zealand launch site. AFTS replaces a human-in-the-loop with software that monitors a rocket and decides if it needs to protect populated areas by triggering explosive charges that will destroy the vehicle.
NASA’s software was plagued by years of delays, causing the payload assigned to Electron’s US launch debut to change repeatedly. In 2019, it was supposed to be a Space Test Program (STP) mission for the US Air Force. From 2020 to 2021, it was supposed to be NASA’s CAPSTONE mission to the Moon. Both missions were ultimately launched at Rocket Lab’s primary launch site in New Zealand.
Only in January 2023, almost three years after Rocket Lab was first ready to go, did Electron finally lift off from US soil with a trio of Hawkeye 360 radio surveillance satellites in tow. The mission was the first of Electron launches purchased by Hawkeye 360 to launch 15 satellites. Rocket Lab intends to launch again from LC-2 in the near future and has already shipped a second Electron rocket to Virginia.
Elon Musk dismissed reports claiming SpaceX had placed a massive order for NVIDIA GPUs worth $52 billion. The denial came hours after Taiwanese media, citing unnamed industry sources, reported that SpaceX planned to acquire approximately 13,000 AI server racks, equating to roughly 1 million GB300 GPUs, from Foxconn.
Each rack was estimated at around $4 million, with deliveries potentially starting in late 2025.
The story suggested this would mark SpaceX’s first major foray into Foxconn-manufactured NVIDIA hardware, breaking from suppliers like Supermicro and Dell. Musk responded bluntly on X:
This is fake news
— Elon Musk (@elonmusk) July 20, 2026
Despite the denial, the rumored scale aligns with SpaceX’s explosive growth in AI infrastructure. NVIDIA’s GB300 (successor to the GB200 NVL) racks deliver unprecedented performance for large-scale training and inference. A $52 billion commitment would dwarf most corporate AI budgets and provide the compute muscle needed for frontier models.
SpaceX already operates gigawatt-scale terrestrial clusters like Colossus in Memphis, Tennessee, and has monetized them aggressively through leasing deals.
SpaceX’s newest Starmind will make earth data centers obsolete
Major customers include Anthropic (paying ~$1.25 billion monthly for 220,000+ GPUs), Google (~$920 million monthly for 110,000 GPUs), and Reflection AI. These arrangements are projected to generate tens of billions in annual revenue, far outpacing traditional SpaceX businesses.
Such an investment would fuel internal AI efforts, particularly Grok models under the integrated SpaceXAI division, while supporting ambitious orbital data center plans. SpaceX envisions launching thousands of AI-optimized satellites powered by solar energy and cooled in space, bypassing terrestrial power and land constraints.
This “Starmind” constellation could position the company as a leader in space-based computing.
SpaceX as an Emerging AI Powerhouse
Once primarily known for reusable rockets and Starlink satellite internet, SpaceX has transformed into a multifaceted AI player.
The 2026 acquisition of xAI integrated Grok development directly into the company. Starlink’s low-latency global network complements massive compute clusters, enabling efficient data flow for training and serving AI models.
Musk has long argued that AI scaling demands solutions beyond Earth, citing things like real estate and electricity limits on the ground.
While the Foxconn deal may not be in the cards, SpaceX’s trajectory is continuing on the path of blending aerospace engineering with hyperscale AI to dominate both launches and intelligence infrastructure.
Elon Musk shed more details on the upcoming improvements to Tesla’s Full Self-Driving suite, specifically one that the CEO mentioned last week, which should help owners see fewer interventions.
Last week, Musk hinted that one major improvement that Tesla planned to roll out to Full Self-Driving users was the car’s ability “to remember your specific interventions and match each person’s individual preferences.”
Elon Musk says your Tesla will start to learn your individual preferences
This small bit of detail was linked to a post from Tesla community member Whole Mars, who said that FSD’s tendency to exit the carpool lane, a feature that owners can turn on but at times the car will disregard.
It sounds like, based on Musk’s two responses since that original post, it is safe to say the things FSD will start to remember are wide-ranging. However, it seems the biggest differences will be noticed with parking performance, which Musk continues to mention.
Highway Lane Preferences
The initial post Musk mentioned, with these new remembered preferences soon to arrive for Tesla owners everywhere, was the Carpool/Express Lane.
Tesla has a setting in the FSD menu that lets drivers enable HOV Lane travel. However, the car won’t always stay in that suggested or preferred lane.
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
Some owners have also complained of left lane camping, an illegal maneuver in at least some states. Cruising in the passing lane has resulted in tickets for some, as it is illegal in over 30 states in the U.S.
Tesla did not confirm if these preferences would also be included in new FSD behaviors, but it would certainly help move the company toward fewer interventions.
Parking Preferences
This seems to be the real focus of the entire operation, as Musk stated several weeks ago that parking was overwhelmingly the most frequent reason for interventions.
The major issue with parking is not necessarily the parking “performance,” as FSD is generally good at parking. It definitely has its issues; we’ve recorded plenty of them, including this one as recent as last week:
Yeah it seems like FSD v14.3.5 is having some issues with parking early on https://t.co/Bw5ULfVmDq pic.twitter.com/RHdpjOEpIo
— TESLARATI (@Teslarati) July 13, 2026
However, the changes coming are more about preferences, meaning where you park and how your car enters the spot, either pulling in or backing in. Owners have also reported that pulling into the correct driveway is a relatively rare thing for FSD, something else that needs to be confronted.
Musk basically confirmed that all of these things would be part of Tesla’s plan to address driver preferences with FSD:
Yes
— Elon Musk (@elonmusk) July 20, 2026
It’s obvious there is something big coming with FSD, and the company’s focus seems to be eliminating any intervention that would be related to preferences. This is probably the biggest bottleneck between Tesla and being fully autonomous. Critical interventions do occur, but they are much less frequent.
The only time a driver should be taking over is because of a critical intervention; this seems to be the goal of Tesla right now.
This all seems to be a priority as Tesla continues to move closer to the prospect of unsupervised driving.
Elon Musk said today on X that Teslas will start to learn your individual preferences. This is something that he seemed to hint toward earlier this month when he said parking was by far the biggest reason drivers intervene with Full Self-Driving.
Musk made the comment in response to notable Tesla influencer Whole Mars, who said that his vehicle will sometimes disobey the settings he has enabled for his car. He responded to the post, stating that “The car will start to remember your specific interventions and match each person’s individual preferences.”
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
This is something that could be perhaps one of the biggest ways Tesla could minimize or even work closer toward eliminating interventions altogether. While FSD does a lot of things really well, many people intervene a vast majority of the time not due to major or critical safety errors.
Instead, many take over because the car is doing something that they do not like as a preference; it might park in a parking spot that is not preferred by the driver, it might linger too long in the left lane on the highway (a personal favorite), or it could even take a route that the driver does not like.
These all lead to interventions, but they are not triggered by a major safety issue. Instead, it’s just preference.
READ OUR REVIEW OF TESLA’S LATEST FSD VERSION:
Tesla Full Self-Driving v14.3.5 Early Impressions: new features and early performance
If Teslas could start to learn the personal preferences of the person who owns them, interventions will truly begin to be less frequent. Some of this is already pretty evident, in my opinion. Teslas use a neural network to learn behaviors and accumulate data to improve performance.
For months now, we’ve tracked FSD’s performance at “Except Right Turn” stop signs, something that is very common in Pennsylvania, but many of our readers located in other parts of the U.S. have never heard of. FSD handles one Except Right Turn stop sign very well, one that I travel past frequently. Others that I do not navigate through as often do not have as confident a performance. It seems like the cars might already be doing this to an extent.
🚨 Tesla Full Self-Driving v14.3 proceeds through an Except Right Turn Stop Sign pic.twitter.com/YemRSlens7
— TESLARATI (@Teslarati) April 8, 2026
That example is also for something that is a street sign and not necessarily a driver preference; however, I still feel it is worth mentioning because it only handles that commonly passed Except Right Turn stop sign with true confidence. Others it still seems to struggle with.
This could be one of Tesla’s big moves toward full autonomy, and it could be a pathway to truly unsupervised driving. Every day, millions of cars on the road travel at a human driver’s personal preferences with no incident. Why can’t autonomous vehicles still cater to a passenger’s preferences while being autonomous? Tesla seems to have the idea that it would be possible.
Elon Musk dispels $52 billion SpaceX-NVIDIA GPU deal: ‘Fake news’
Elon Musk sheds details on Tesla FSD’s upcoming improvements
