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SpaceX’s Falcon Heavy rocket back in action after a three-year hiatus
Update: The US Space Systems Command says that SpaceX’s first direct launch to geosynchronous orbit was a “simply outstanding” success, safely deploying several satellites more than 36,000 kilometers (~22,400 mi) above the Earth’s surface.
The success of the US Space Force’s USSF-44 mission means that SpaceX’s Falcon Heavy rocket is now one of just a handful of operational rockets in the world that has demonstrated the ability to launch satellites directly to geosynchronous orbit. More importantly, it’s one of just three US rockets with that established capability. The other two rockets – ULA’s Atlas V and Delta IV – will cease to be available for US military missions by the end of 2023, meaning that Falcon Heavy may briefly become the only rocket in the world able to launch certain US military missions until ULA’s next-generation Vulcan rocket is ready to prove itself.
SpaceX’s Falcon Heavy has continued a streak of successful dual-booster landings during its first attempted launch directly to geosynchronous orbit, a mission that was also the rocket’s first launch in more than three years.
Known as USSF-44 and initially scheduled to launch more than two years ago, the US Space Force mission finally lifted off on November 1st, 2022 after relentless payload delays. By mid-2021, the hardware required for SpaceX’s first Falcon Heavy launch since June 2019 – mainly three new first-stage boosters – had finished qualification testing and been shipped to Florida in anticipation of a late-2021 or early-2022 launch. That launch never came.
Only in November 2022 did most or all of USSF-44’s payloads finally come together, resulting in a gap of more than 40 months between Falcon Heavy launches as practically every other payload assigned to the rocket in the interim experience their own significant delays. Regardless, on November 1st, Falcon Heavy lifted off for the fourth time and performed flawlessly for the nine minutes the US Space Force allowed SpaceX’s webcast to continue.
Over the course of those nine minutes, Falcon Heavy’s twin side boosters – both flying for the first time – helped send the rest of the rocket on its way to space before separating from the center core, upper stage, and payload to boost back towards the Florida coast. Less than eight minutes after liftoff, they safely touched down seconds apart at SpaceX’s LZ-1 and LZ-2 landing zones. Lacking grid fins or landing legs, Falcon Heavy’s intentionally-expendable center core (middle booster) continued burning for another 90 seconds and only separated from the upper stage after reaching a speed of almost four kilometers per second (8,900 mph) – a new record for a SpaceX rocket booster.
The center core, B1066, was likely obliterated when it reentered Earth’s atmosphere traveling at approximately 50% of orbital velocity. Side boosters B1064 and B1065, however, will be rapidly refurbished for a “future US Space Force mission” that SpaceX – perhaps incorrectly – says could follow USSF-44 as early as “later this year.” Unless SpaceX has received an additional USSF launch contract in secret, the company’s next USSF mission appears to be USSF-67, which the US Space Systems Command reported could launch as early as January 2023 in their latest press release [PDF]. USSF-44 and USSF-67 are technically set to launch in the same US fiscal year but not the same calendar year.
USSF-44 is SpaceX’s first direct geosynchronous launch, meaning that Falcon Heavy is attempting to deliver the US military’s payloads to a circular geosynchronous orbit (GEO) approximately 36,000 kilometers (~22,400 mi) above Earth’s surface. “Geosynchronous” refers to the fact that a spacecraft’s orbital velocity matches Earth’s rotational velocity at that altitude, making it a popular destination for communications and Earth observation satellites that want to observe the same region of Earth all the time. Ordinarily, to simplify the rocket’s job, most GEO-bound satellites are launched into an elliptical geosynchronous or geostationary transfer orbit (GTO) and use their own propulsion to circularize that ellipse.
On a direct-to-GEO launch, the rocket does almost all of the work. After reaching a parking orbit in Low Earth Orbit (LEO), Falcon Heavy’s upper stage likely completed a second burn to geosynchronous transfer orbit. Then, while conducting a complex ballet of thermal management and tank pressure maintenance to prevent all of its cryogenic liquid oxygen (LOx) from boiling into gas and its refined kerosene (RP-1) from freezing into an unusable slush, the upper stage must coast ‘uphill’ for around five or six hours.
Over that journey from an altitude of about 300 kilometers to 36,000 kilometers, in addition to the above tasks, the upper stage must also survive passes through both of Earth’s radiation belts. At apogee, Falcon S2 must reignite its Merlin Vacuum engine for around one or two minutes to reach a circular geosynchronous orbit. Payload deployment will follow and could last anywhere from a few minutes to an hour. Finally, to be a dutiful space tenant, Falcon’s upper stage must complete at least one or two more burns to reach its final destination: a graveyard orbit a few hundred kilometers above GEO.
SpaceX’s third Falcon Heavy launch, a US Air Force mission called STP-2, was a partial dry-run of direct-to-GEO launch – albeit in low Earth orbit (LEO) instead of LEO, GTO, and GEO. During STP-2, Falcon Heavy’s upper stage completed four successful burns in three and a half hours. USSF-44 is significantly more challenging by most measures but not entirely outside of SpaceX’s range of experience. In addition to STP-2, Falcon 9 upper stages have conducted a few long-duration coast tests after completing unrelated primary missions.
In statements made to Spaceflight Now, the US Space Systems Command said that USSF-44’s two main payloads are a pair of propulsive kick stages and payload platforms, one – LDPE-2 – supplied by Northrop Grumman and the other – the “Shepherd Demonstration” – a mystery. LDPE-2 will reportedly carry three hosted payloads and deploy three rideshare satellites: likely two Lockheed Martin LINUSS-A cubesats and Millenium Space Systems’ TETRA-1. All three rideshare satellites are designed to demonstrate various new technologies, ranging from propulsion systems to avionics.
Rewatch SpaceX’s USSF-44 Falcon Heavy launch here.
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
