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SpaceX Starlink satellite constellation aims to become world’s largest after next launch
In a sign of things to come next year, SpaceX’s next – and third – 60-satellite Starlink launch is officially on the books, and – if all goes as planned – could make the company the proud owner of the world’s largest operational satellite constellation.
On May 24th, Falcon 9 lifted off for the first time ever on a dedicated Starlink launch, placing 60 ‘v0.9’ prototype satellites in Low Earth Orbit (LEO), where they deployed solar arrays and fired up their own electric krypton thrusters to reach their operational ~550 km (340 mi) orbits. Of those 60 prototypes, several were intentionally deorbited while another handful suffered unintended failures, while 51 (85%) ultimately reached that final orbit and began operations.
Previously expected in mid-October, unspecified delays pushed SpaceX’s next Starlink launch – deemed Starlink-1, the first launch of ‘v1.0’ satellites – into November. On November 11th, Falcon 9 B1048 and a flight-proven payload fairing lifted off with 60 more Starlink satellites, also marking the first time a Falcon 9 booster completed four orbital launches and the first operational reuse of a recovered fairing. Upgraded with four times the overall bandwidth, improved structures, new Ka-band antennas, and more steerable ‘beams’ on each of those antennas, those 60 Starlink v1.0 satellites rapidly came online and began raising their orbits.
This time around, SpaceX received FCC approval to test satellites at a substantially lower altitude of ~350 km (220 mi) and launched to a parking orbit of just 280 km (175 mi), ensuring that any debris or failed spacecraft will reenter Earth’s atmosphere in just a matter of months while also completely avoiding added risk to the International Space Station (ISS) (~400 km). After a brisk ten or so days of active propulsion, 55 of those 60 satellites have raised their orbits to ~350 km, while ~20 of those 55 appear to be aiming for a final altitude somewhat higher, likely the start of a separate orbital plane.
The moment that Starlink-1 satellites began to arrive and stabilize at their 350-km operational orbits, nearly all of SpaceX’s 50 operational v0.9 satellites began lowering their orbits, potentially signaling a move down to Starlink-1’s operational altitude, or even an intentional deorbit of the entire prototype tranche (far less likely).
From nothing to #1
The same day that several dozen Starlink-1 satellites finished the climb up to their operational orbits, SpaceX announced media accreditation for its next Starlink launch, presumed to be Starlink-2. According to SpaceX, the mission is targeted for the last two weeks of December 2019, a schedule that will tighten as it gets closer. Previously expected to launch in early November, as few as two weeks after Starlink-1, Starlink-2 has suffered similar delays but still appears to be on track for 2019.
It’s assumed that Starlink-2 – like both dedicated missions preceding it – will launch 60 Starlink satellites. If that is, in fact, the case, the mission could mark a surprising but fully-expected milestone: with >170 functional satellites in orbit, SpaceX might become the proud owner of the world’s largest operational satellite constellation. Excluding two Tintin prototypes launched in February 2018 and 8 failed Starlink v0.9 spacecraft, a perfect Starlink-2 launch would raise SpaceX’s operational constellation to 172 satellites.
The only satellite operator anywhere close to those numbers is Planet Labs, an Earth observation analytics and satellite production company that has launched >400 satellites in its lifetime. Of those ~400 spacecraft, it’s believed that ~150 were operational as of October 2019 and Planet has another 12 Dove observation satellites scheduled to launch on November 27th. In simple terms, this means that SpaceX may become the world’s largest satellite operator after Starlink-2 and it all but guarantees that that will be the case after Starlink-3, a mission that will likely follow just weeks later.
Once SpaceX passes that milestone, it’s all but guaranteed that Starlink will retain the title of world’s largest satellite constellation for the indefinite future. According to SpaceX COO and President Gwynne Shotwell, as many as 24 Starlink launches are planned for 2020, and SpaceX’s burgeoning Washington-state satellite factory may soon be capable of supporting the unprecedented volume of production such a cadence will require. Even assuming rocky development, it’s hard to picture SpaceX’s next-generation Starship rocket taking more than two additional years to be ready for routine orbital missions to LEO, each of which should be able to place 400 Starlink satellites in orbit.
OneWeb is by far the closest thing SpaceX has to a serious Starlink competitor and its first operational launch of ~30 satellites has recently suffered delays, moving from December to late-January or February 2020. Roughly monthly launches (each with ~30 satellites) will nominally follow that first launch. After Starlink-2 or Starlink-3, the only conceivable ways that SpaceX could ever lose the title of world’s largest satellite operator would require catastrophic failure(s) grounding Falcon 9 and/or Starship for >1 year or outright bankruptcy and liquidation, neither of which seem particularly likely.
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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.
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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
