News
SpaceX’s Mr. Steven returns with Falcon fairing half in net after drop test practice
Captured in a series of photos taken by Teslarati photographers Pauline Acalin and Tom Cross over several days, SpaceX Falcon fairing recovery vessel Mr. Steven and recovery technicians and engineers have been preparing and practicing for a campaign of controlled fairing drop tests.
By using a helicopter to lift and drop a fairing into Mr. Steven’s net, SpaceX will be able to gather an unprecedented amount of data and control far more variables that might impact the success of recoveries. If the fairing is not destroyed in the process, this test series could be as long-lived as SpaceX’s Grasshopper program, used to work the largest up-front kinks out of Falcon 9 booster recovery.
Mr Steven looks ready. Should be leaving port at some point today ahead of SAOCOM-1A launch scheduled for Sunday, Oct 7, 7:21pm PT #mrsteven #SpaceX pic.twitter.com/Hk7HLmMDra
— Pauline Acalin (@w00ki33) October 6, 2018
Although SpaceX technicians managed to reassemble and install Mr. Steven’s net and arm fairing recovery mechanisms in just a handful of days, finishing less than 48 hours before the West Coast launch of SAOCOM 1A, the ship remained in port for the mission, passing up its fifth opportunity to attempt recovery of one of Falcon 9’s two fairings halves. Why exactly Mr. Steven never left port is unclear and unconfirmed, although SpaceX did mention that recovery would not be attempted this time around during its official launch webcast.
The most likely explanation is mundane – sea states with average swells as large as 4m (13ft) were forecasted (and later recorded) at and around the optimal fairing recovery zone. As a Fast Supply Vessel (FSV) explicitly designed to rapidly and reliably resupply oil rigs and other maritime work areas almost regardless of weather conditions, 4m waves would normally be a tiny pittance for ships as large and heavy as Mr. Steven and would be a nonsensical reason to halt deep-sea operations.
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- Thanks to their relatively high angle of attack, Mr. Steven’s newest arms should not seriously impact his stability, but there is a chance that they limit his operational envelope in high sea-states. (Chuck Bennett)
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- Mr. Steven seen listing roughly 5 degrees to port during arm installation, July 10th. (Pauline Acalin)
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- A few-degree list seen during fairing recovery practice, August 13th. (Pauline Acalin)
On the other hand, Mr. Steven is without a doubt the most unusual FSV in existence thanks to his massive arms and net, stretching at least 60m by 60m. Based on photos of the arm installation process, significant lists of 5+ degrees are not uncommon when arms are unbalanced during normal staggered (one-at-a-time) installations, and SpaceX quite clearly installs the first two arms on opposite sides and orientations in order to minimize installation-related listing. This indicates that his newest arms have significant mass and thus leverage over the boat’s roll characteristics, perhaps explaining why Mr. Steven has performed anywhere from 5-10 high-speed trials at sea both with and without arms installed.
Most recently, however, Mr. Steven spent a solid six weeks armless at Berth 240 while some sort of maintenance, analysis, or upgrade was undertaken with those four arms and their eight shock-absorbing booms. It’s hard to know for sure, but there are no obvious visual changes between the arms installed in July and August and those now present on his deck, and the net also looks almost identical.
Fairing drop tests?
What’s less familiar these days is an oddly arranged Falcon 9 payload fairing half that has been floating around SpaceX’s Port of Los Angeles berths for the last two or so weeks. Up until October 4th, the purpose of that single half was almost entirely unclear. On October 4th, Teslarati’s entire space team (Tom, Pauline, and I) coincidentally arrived at the same time as 5-10 SpaceX technicians were working on the fairing, attaching a series of guylines and harnesses and inspecting a number of actuating mechanisms on the half.
Just minutes after we arrived, a worker called out a short countdown and a wholly unexpected crashing noise sounded, followed immediately by several loud clangs as the harness connection mechanisms swung back and connected with metallic parts of the fairing. After the adrenaline wore off, the initial crashing noise was almost certainly the sound of the same mechanical jettison mechanism used to separate fairing halves ~3 minutes after the rocket lifts off.
Once photos of the event could be examined more carefully, that was exactly what we found – the six harness connections were attached to the fairing by way of the same mechanical interface that allows two halves to safely attach to each other. What we had witnessed was a harness separation test, using pressurized gas stored in COPVs (the gold striped cylinders) to rapidly actuate a latch, allowing the metal harness connectors to fall away. This is further evidenced by the presence of neon orange zip-ties connecting the ends of those harnesses to any sturdy fairing structure near the connection port, an easy and (presumably) affordable way to prevent those heavy connectors from swinging down and damaging sensitive piping and components.
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- An overview of the weird fairing test article just before the harnesses were jettisoned. (Pauline Acalin)
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- Note the taut, yellow ropes connected to the fairing at its original serparation connector ports. (Pauline Acalin)
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- Zip-ties prevented the harness connectors from smashing (too hard) into the fairing’s innards. (Pauline Acalin)
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- A Falcon 9 fairing during encapsulation, when a launch payload is sealed inside the fairing’s two halves. This small satellite is NASA’s TESS, launched in April 2018. (NASA)
According to someone familiar with these activities, the purpose of that testing is to prepare for true fairing drop tests from a helicopter. The jettisonable harness would be a necessity for easy drop testing, allowing the helicopter to carry a basic cargo hook and line while technicians inside communicate with the fairing to engage its built-in separation mechanism, all while ensuring that it immediately begins a stable glide or free-fall after dropping.
Observed on October 4th, it was at least moderately disappointing to see Mr. Steven remain in port during the spectacular Falcon 9 launch of SAOCOM 1A, October 7th. Reasons aside, roughly 12 hours after launch, Mr. Steven left on a 10+ hour cruise ~100 miles off the coast, where he repeatedly met up with tugboat Tommy and circled Santa Catalina Island once before heading back to port. Just 24 hours before launch (Oct. 6), the test fairing seen above was placed in Mr. Steven’s net for communications and harness testing – 24 hours after launch, Mr. Steven returned to Port of San Pedro after his 10-hour cruise with the same fairing half resting in his net.
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- Mr. Steven returned to Port of San Pedro around 7pm on October 8th after a day spent at sea, apparently with a Falcon fairing half in tow. This is the second known time that a fairing has been in Mr. Steven’s net. (Pauline Acalin)
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- An overlay of the paths of travel of a test-related helicopter and Mr. Steven, both on Oct. 8. The yellow plane is the heli at the beginning of a hover, while the gap between blue triangles in the lower left is where Mr. Steven was during that hover. (MarineTraffic + Flightradar24)
How and why it got there is unknown, as is the purpose of half a day spent boating around with the half in his net. However, a helicopter known to be involved in fairing drop tests was seen hovering and flying around Mr. Steven at the same time. Perhaps the two were practicing for real drop attempts, or perhaps the helicopter actually dropped a Falcon fairing (from > 2000 feet) and Mr. Steven successful caught it.
What is clear is that SpaceX is just getting started with efforts to perfect fairing recovery and eventually make the practice as (relatively) routine as Falcon 9 booster recovery and reuse is today. The latter was hardwon and the former will clearly be no easier.
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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
