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Rocket Lab secretly launches revolutionary satellite and readies for US launch debut
Rocket Lab’s recent flawless return to flight mission nicknamed “I Can’t Believe It’s Not Optical,” set the company up for loftier goals in the latter half of 2020 in a big way. Returning to operation after an in-flight anomaly and subsequent investigation is a massive accomplishment for any launcher. Returning to flight and debuting a pathfinder satellite developed and built in-house, however, solidified Rocket Lab as a full end-to-end space systems company.
For good measure, company founder and chief executive officer, Peter Beck, hopes to round out the year by activating two more Electron launchpads – one of which will be the launcher’s first US-based launch location dedicated to supporting missions for the United States government. Furthermore, following Electron’s seventeenth flight, Rocket Lab hopes to recover the expended first-stage booster – and perhaps more importantly, a mountain of data – as a stepping stone to launch vehicle reuse, a practice pioneered and solely dominated by SpaceX.
A return to flight and an introduction to space systems
Just eight weeks after Electron’s ill-fated thirteenth flight resulting in the loss of a second stage and all customer payloads due to an in-flight electrical anomaly, the next Electron was raised at Launch Complex 1 in Mahia, New Zealand. The fourteenth flight of Electron was a dedicated mission for San Francisco-based information services company, Capella Space. Initially announced, the mission deployed a single microsatellite called “Sequoia” to an approximate 500km circular orbit. Peter Beck later confirmed the mission also secretly featured the successful deployment of Rocket Lab’s first in-house designed and built satellite called “First Light.”
“First Light” is a pathfinder spacecraft based on Rocket Lab’s configurable Photon satellite platform. According to Rocket Lab, it exploits Electron’s Kick Stage, “a nimble but powerful extra stage on Electron designed to circularize payload orbits.” The Kick Stage is designed as a satellite bus with extended capabilities to transition into a satellite – Photon – and performing an independent standalone mission. This is exactly what occurred with “First Light.”
Following the deployment of the “Sequoia” microsatellite, Rocket Lab teams signaled the Kick Stage to enable the standalone Photon capabilities. The command transitioned the spacecraft from a delivery vehicle to a fully functional satellite for the very first time. “First Light” serves as the testbed of many upgraded components including improved management systems for power, thermal, and attitude control.
in a statement provided by Rocket Lab Beck said, “Launching the first Photon mission marks a major turning point for space users – it’s now easier to launch and operate a space mission than it has ever been. When our customers choose a launch-plus-spacecraft mission with Electron and Photon, they immediately eliminate the complexity, risk, and delays associated with having to build their own satellite hardware and procure a separate launch.”
Eventually, the extended Photon capabilities of the Kick Stage will be used to support lunar and interplanetary missions. Beck has gone on record many times stating that Rocket Lab is working toward funding a private mission to Venus with a more robust version of the Photon platform which will deploy a probe to collect information about the Venusian atmosphere.
Counting down to Electron’s first launch from Virginia
On September 17, just two weeks after introducing the world to “First Light,” Rocket Lab announced the final successful Electron wet dress rehearsal at its new Launch Complex 2 (LC-2) at the Mid-Atlantic Regional Spaceport in Wallops Island, Virginia.
The wet dress rehearsal is a standard preparatory practice of raising the rocket vertical on the launchpad, fueling the rocket, and conducting a practice run of all countdown systems and procedures ahead of a launch attempt. This gives launch teams the opportunity to ensure that the rocket is prepared for flight and work out any kinks that may arise ahead of sending the vehicle to space. The countdown is carried down to T-0 and then the vehicle is emptied and safed.
Recently, Rocket Lab was granted a five-year Launch Operator License by the Federal Aviation Administration for the LC-2 site enabling the space systems company to support up to ten Electron missions a year from U.S. soil. The new operator license combined with the one previously procured for Launch Complex 1 in New Zealand allows Rocket Lab to support up to 130 flights of the Electron rocket globally per year.
It was speculated that Electron’s next flight – and the first launch from LC-2 in Virginia – would be the dedicated STP-27RM mission coordinated by the U.S. Space Force’s Space and Missile Systems Center. The first from Virginia will launch a single microsatellite for the Air Force Research Laboratory’s Monolith program. However, the first mission from Virginia is still waiting on a debut date to be identified.
In order for Electron to fly from Virginia, NASA must first certify Electron’s Autonomous Flight Termination System (AFTS) – a protective measure that will automatically destroy the rocket in a safe manner should anything anomalous occur during first stage flight. Electron’s AFTS has already previously flown numerous times from New Zealand. The first flight from Virginia, however, will be the first time a vehicle will launch from the Mid-Atlantic Regional Spaceport with an AFTS.
15 launches, 3 launch pads, and a booster recovery
Until then, Rocket Lab is busy preparing for flight fifteen from New Zealand. The recently announced mission, nicknamed “In Focus,” is a rideshare mission featuring nine SuperDove satellites for Planet Labs and one payload for Spaceflight Inc. customer Canon Electronics Inc.
While preparing for the next flight, nearby Rocket Lab is simultaneously wrapping up construction on yet another launch pad. Launch Complex 1B is very much near completion and is expected to be brought online by year’s end. And that’s not the last goal Rocket Lab looks to achieve by the new year.
Beck has time and time again confirmed that the seventeenth flight of Electron will be the first attempt at recovering an expended first stage booster. Eventually, the company will attempt to catch the booster as it is falling back to Earth under the canopy of a parachute by utilizing a helicopter equipped with a specialized grappling hook. The first attempt at recovering a booster is not expected to be quite as elaborate.
Rocket Lab has strengthened the first-stage booster enough to survive the return trip. Until now, the booster has slammed into the ocean water and broken up into small bits. With the assistance of improved software and a deployable parachute, the booster of flight seventeen is expected to softly float back for a gentle water landing with the assistance of “recovery pontoons” as described in a Twitter post by Beck.
As of now, Rocket Lab has not identified any target dates for the upcoming milestones. The company has previously stated that the first mission from Virginia is expected to launch in the third quarter of 2020. Electron’s next flight – “In Focus” – from New Zealand is expected in the first half of October. Rocket Lab will provide future launch and development updates on their social media accounts.
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Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
News
Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
