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DeepSpace: Rocket Lab ready for first commercial launch of 2019, an innovative DARPA spacecraft
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Now approximately four months distant from the inaugural commercial launch of Rocket Lab’s Electron rocket, the company is ready – following many weeks of customer-side delays – to conduct its first launch of 2019, aiming to place an experimental DARPA-funded satellite into low Earth orbit (LEO).
If all goes as planned with the launch and experimental spacecraft’s orbital operations, Defense Advanced Research Projects Agency (DARPA) hopes to use the mission to qualify a currently-untested technology that could ultimately enable the production of massive communications and sensing antennas that can fit on relatively tiny satellites. Known as R3D2 (ha…ha…), the mission also effectively serves as the latest operational debut of DARPA’s growing interest and involvement in spaceflight-related industries, nominally proving that the agency is capable of leaning on established companies and startups to rapidly design, build, and fly satellites. Barring any additional launch delays from DARPA’s preparations, Rocket Lab hopes to launch Electron around the end of this week – likely March 22-24 – to kick off what will hopefully be a busy and productive year for the newly operational launch provider.
DARPA in Space
- Originally targeted for sometime in the second half of February, the R3D2 mission – Electron’s fifth planned launch in 18 months – has suffered several weeks of delays due to issues faced by DARPA during satellite delivery and pre-launch preparations.
- Aside from a general hint that the satellite arrived a few weeks later than planned and an official statement from Rocket Lab that “DARPA’s payload team is conducting final ground station configuration work over the coming days”, the process appears to be going rather smoothly.
- Weighing in at roughly 150 kg (330 lb), the R3D2 spacecraft – barring the quiet inclusion of co-passengers – will be the first launch of Electron dedicated to a single satellite. In fact, 150 kg is actually the maximum listed payload that Electron is capable of launching to a 500 km (310 mi) sun-synchronous orbit (SSO), providing a functional ‘ceiling’ for the ultimate destination of DARPA’s satellite.
- R3D2’s primary purpose will be to extensively test a brand new antenna technology and thus prove (hopefully) that the in-space deployment mechanism and unique material composition function as designed. Likely no more than 1-2 feet (~50 cm) across, the definitively small satellite will attempt to deploy an antenna many times larger than itself.
- Made out of a material known as Kapton, the deployable antenna will reach a maximum diameter of 2.25 m (7.4 ft), fairly large even when compared with antennas used on satellites many dozens of times more massive.
Rocket Lab’s Biggest year yet
- Although the company is off to a relatively slow start, as many as eleven Electron missions – including R3D2 – are at least tentatively manifested for launches in 2019.
- In November and December of 2018, Rocket Lab further demonstrated that it is more than capable of a respectable monthly launch cadence, particularly impressive for a rocket conducting its third and fourth missions ever. If Rocket Lab can more or less sustain that cadence after DARPA’s R3D2, the company could ultimately complete as many as 8-10 launches this year.
- Ultimately, founder and CEO Peter Beck says that Rocket Lab and Electron will eventually target dozens of annual launches per year and a weekly launch cadence from an array of launch facilities.
- Earlier this year, Rocket Lab officially announced that it had come to an agreement with the state of Virginia to build its second launch complex (LC-2) at Wallops Flight Facility (also known as the Mid-Atlantic Spaceport). If construction proceeds apace, the company’s first US-based Electron launch could occur before the end of 2019.
- DARPA’s goal with R3D2 – and its interest in space and small satellites in general – should ultimately benefit the entire spaceflight industry, potentially paving the way for the design and production of small satellites with technical capabilities that far outstretch their compact nature.
- Reliable and affordable deployable structures are becoming a growing focus of a number of young and old spaceflight companies, ranging from heavyweights like SSL/Maxar to new startups like Oxford Space Systems.
- Unlike most modern defense and aerospace technology procurement, DARPA is also distinctly focused on streamlining the process of designing, building, and launching spacecraft. To do so, the agency plans to rely heavily on established commercial entities to optimize speed and affordability will still ultimately producing innovative space systems and pushing the state of the art forward.
- Aside from closely involved projects like R3D2, DARPA – through a program called Blackjack – is also extremely interested in a number of LEO communications constellations proposed in the last few years by companies like SpaceX, OneWeb, and Telesat, and has already awarded a series of small contracts with several to begin the program’s earliest phases.
Mission Updates
- Completed on March 8th, SpaceX’s near-flawless Crew Dragon launch, space station rendezvous, and recovery is likely the last of the company’s orbital launch activities for the month of March.
- The second launch of Falcon Heavy – the rocket’s commercial debut – is currently expected to occur as early as April 7th
- After Falcon Heavy, SpaceX has at least one other launch – Cargo Dragon’s CRS-17 resupply mission – firmly scheduled for April (April 25th), as well as the more tenuous possibility of the first dedicated Starlink launch occurring as early as late April.
Photos of the Week:
NASA posted a series of official photos documenting SpaceX’s Crew Dragon recovery process following the spacecraft’s first successful orbital reentry and splashdown. The photo below (top) offers one of the best (and most detailed) views ever made public of one of the heat shields of a SpaceX Dragon spacecraft, offering a glimpse of the wear the PICA-X material experiences after several minutes of extreme heating and buffeting. (c. NASA/Cory Huston)
Back on land, SpaceX’s South Texas entourage has continued to build the first full-scale Starship prototype – nicknamed Starhopper – in preparation for the vehicle’s inaugural static-fire and hop tests. According to official SpaceX statements, those tests could occur as early as this week, partially confirmed by the first installation of a Raptor engine (serial number 2) on a flight article of any kind.(c. NASASpaceflight – bocachicagal)
News
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
