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SpaceX starts stacking Starship’s first orbital-class Super Heavy booster

All but hidden behind Starship SN16, SpaceX appears to have begun stacking the first flightworthy Super Heavy booster. (NASASpaceflight - bocachicagal)

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By all appearances, SpaceX has begun the process of stacking what could become the first Super Heavy booster capable of supporting orbital Starship test flights.

Known as booster number 3 (BN3), numerous sections of the 70-meter-tall (230 ft) steel rocket have been spotted at SpaceX’s Boca Chica, Texas factory over the last six or so weeks – adding up to a substantial portion of what is now expected to be the first flightworthy Super Heavy. Earlier this year, SpaceX stacked Super Heavy BN1 to its full height but late design changes effectively rendered the prototype largely irrelevant and turned it into more of a manufacturing pathfinder and source of practice than anything else.

As a result, BN1 never even left the high bay it was built in before SpaceX workers cut the booster into scrap. As of May, while a handful of parts for booster number 2 have been spotted, signs indicate that BN2 will be turned into a small test tank to qualify Super Heavy’s complex and unproven thrust dome and engine section.

That leaves Super Heavy BN3. According to NASASpaceflight.com, SpaceX has nominally assigned booster BN3 to support Starship SN20 on its inaugural space launch attempt. Just last week, SpaceX filed an application with the FCC for permission to communicate with Starship and Super Heavy during that “orbital test flight” – paperwork that included a six-month launch window scheduled to open no earlier than June 20th.

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If approved by the FCC and – far more importantly – the FAA, Starship’s first “orbital test flight” will circumnavigate three-quarters of the world in approximately 90 minutes, launching from Boca Chica and ending – if all goes well – with Starship SN20 gently splashing down near Kauai, Hawai’i. From the sparse documentation SpaceX included in the public application, it’s ambiguous if there will be an attempt to recover Super Heavy booster BN3 or if the test flight will actually be orbital, given that Starship SN20 wont complete a full orbit.

Technically speaking, although a Starship capable of safely launching from Texas to Hawai’i is almost unequivocally capable of reaching orbit, the safest possible “orbital” flight test for such a massive spacecraft would stop just shy of orbit. A guaranteed free-return reentry would make it almost impossible for Starship to reach orbit, fail to deorbit after its first ~90 minutes in space, and end up posing a risk to populated areas – like, say, the now-infamous boosters of China’s Long March 5B rocket. Regardless, it’s clear that the specifics of Starship’s first spaceflight attempt are still very much up in the air and liable to change over the next few weeks.

Super Heavy BN3’s unique common dome section was completed and flipped earlier this month. (Jack Beyer – NASASpaceflight)
(NASASpaceflight – bocachicagal)
BN3’s engine section and thrust dome have also been more or less completed. (NASASpaceflight – bocachicagal)

What isn’t up in the air is the fact that SpaceX will need to all but fully assemble and test Super Heavy booster BN3 and Starship SN20 before any potential space shot. Along those lines, SpaceX still has a huge amount of work to do. Per Twitter user Brendan Lewis’ accounting, SpaceX has at least six BN3 sections – amounting to 22 rings and two of three tank domes – either completed or awaiting integration. The process of stacking BN3 began sometime in the last 7-10 days when SpaceX joined two four-ring sections – including the booster’s common dome, likely pictured above.

Looking more like a spaghetti monster than rocket part, this is likely the first 28-engine Super Heavy fuel manifold. (NASASpaceflight – bocachicagal)
A super (heavy) sized version of the methane transfer tube already used on Starship. (NASASpaceflight – bocachicagal)

SpaceX has mostly completed BN3’s engine section, including a thrust dome with plumbing cutouts for a full 28 Raptor engines. Most recently, what looks like a Super Heavy fuel manifold appeared in Boca Chica. That manifold will attach to the end of a supersized Super Heavy transfer tube – also spotted in work – used to route methane through the liquid oxygen tank to fuel its Raptor engines. Fueling 28 large, high-performance Raptors is no mean feat and requires a rat’s nest of plumbing to feed them more than 15 metric tons (~30,000 lb) of propellant every second at full throttle.

Put simply, a majority of Super Heavy booster BN3’s hardware appears to be ready or almost ready for integration. The eight rings now stacked represent approximately 20% of the rocket’s full height, leaving another 30 or so rings – 54m (~180 ft) – to go. Given how long BN1 assembly took SpaceX, the company has its work cut out for it to fully integrate BN3 by June 20th, and the first operational Super Heavy prototype will almost certainly need to complete several major tests before being cleared for flight. As such, an inaugural space launch attempt in June or July is wildly implausible, but it’s far from out of the question that Starship and Super Heavy could be ready for their first “orbital test flight” before summer turns to fall.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Elon Musk reveals unfortunate truth of Tesla Full Self-Driving development

In a candid reply to a dramatic video of Tesla’s Full Self-Driving (FSD) system averting disaster, Elon Musk laid bare a harsh reality facing autonomous vehicle technology.

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Tesla’s Full Self-Driving suite is one of the most significant technological developments in terms of passenger travel in decades, but it is not all sunshine and rainbows, even with major strides in safety, CEO Elon Musk revealed.

In a candid reply to a dramatic video of Tesla’s Full Self-Driving (FSD) system averting disaster, Elon Musk laid bare a harsh reality facing autonomous vehicle technology.

The clip shows a Model 3 traveling at over 65 mph on a foggy, rain-soaked highway when a pedestrian suddenly steps into traffic.

Full Self-Driving instantly detects the threat and swerves safely, preventing what could have been a fatal collision for both the pedestrian and the driver’s cousin.

Musk’s response was unequivocal:

“Tesla self-driving saves a lot of lives – the statistics are unequivocal. That doesn’t mean it’s perfect, of course.” Even with a projected 10x safety improvement over human drivers, FSD would still prevent roughly 90% of the world’s approximately one million annual auto fatalities. The remaining 10%—roughly 100,000 deaths—would expose Tesla to relentless lawsuits. Meanwhile, the vast majority of lives saved would go unnoticed. “The 90% who are still alive mostly won’t even know that Tesla saved them. Nonetheless, it is the right thing to do.”

This “unfortunate truth,” as Musk implicitly framed it, highlights a fundamental asymmetry in how society perceives safety technology. Human drivers cause the overwhelming majority of crashes through distraction, fatigue, or error.

Yet when FSD errs, the incident becomes headline news and a courtroom target. Prevented tragedies, by contrast, leave no trace.

Survivors simply continue their journeys, unaware of the split-second intervention that kept them alive. The result is a distorted public narrative that amplifies failures while rendering successes invisible.

We have seen this through various headlines throughout the years, including the mainstream media’s obsession with only mentioning the manufacturer’s name in the instance of an accident when it is “Tesla.”

Opinion: Tesla Autopilot NHTSA investigation headlines are out of control

The video’s real-world example underscores FSD’s current capabilities. In near-zero visibility, the system’s cameras and neural network reacted faster than any human could, demonstrating the life-saving potential Musk cites.

Tesla’s latest safety data already shows FSD (Supervised) performing significantly better than the U.S. average, with crashes occurring far less frequently per mile driven.

Still, regulatory scrutiny, liability concerns, and media focus on edge-case failures continue to slow widespread adoption. Musk’s frank admission suggests Tesla is prepared to push forward despite the legal and perceptual headwinds.

As FSD edges closer to unsupervised autonomy, Musk’s post serves as both a progress report and a reality check. The technology is already saving lives today.

The unfortunate truth is that proving it and scaling it responsibly will require society to value statistical lives saved as much as dramatic stories of those lost. In the race toward safer roads, perception may prove as formidable an obstacle as the fog and rain in that viral video.

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Tesla Full Self-Driving v14.3: First Impressions

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Tesla started rolling out Full Self-Driving v14.3 to Early Access Program (EAP) members earlier today, and I had the opportunity to see some of the improvements that were made from v14.2.2.5.

While a lot of things got better, and I truly enjoyed using Full Self-Driving again after being stuck with the widely confusing and frustrating v14.2.2.5, Tesla still has one major problem on its hands, and it has to do with Navigation and Routing. I truly believe those issues will be the biggest challenges Tesla will face with autonomy: the car simply going the correct way, not conflicting with what the navigation says, and taking the simplest and most ideal route to a destination.

Here’s what I noticed as an improvement with my first hour with v14.3. This is not a full review, nor is it reflective of everything I will likely experience with this new version. This is simply what I saw as a noticeable improvement from the past version, v14.2.2.5.

There is also a more streamlined version on X, available at the thread below:

Yellow Light Behavior is Significantly Better

On v14.2.2.5, I had so many instances of the car slamming the brakes on to stop at a yellow light when it was clearly the safer option to proceed through. There were several times when the car would be about 20 feet from the line, traveling at 15-20 MPH, the light would turn yellow, and it would slam the brakes to stop. I would nudge it through yellow lights constantly because of this by putting my foot on the accelerator.

The instances I’m talking about here would not have been close calls — the car would have likely moved through the intersection completely before the light would turn red.

On multiple occasions this evening, FSD proceeded through yellow lights safely, without hesitation or any brake stabbing. It was refreshing:

This was a huge complaint with v14.2.2.5. Sometimes, it’s a safer option to go through a yellow light, especially when you have traffic behind you. It’s a great way to get rear-ended.

Parking Performance

I had four instances of parking, and FSD v14.3 really did a flawless job. I was very impressed with how solid it was, but also with how efficiently it moved into the spot. When there was traffic around with past versions, I usually chose to park manually just because FSD took its time getting into a spot. I don’t see that being an issue anymore.

I complained about parking a lot and shared several images on X and Facebook of those examples:

No issues with it this evening. 4/4. Here are two looks:

Highway Performance

FSD v14.3 passed the five cars shown in this image:

The sixth was 200-300 yards ahead of the fifth. In v14.2.2.5, FSD would usually stay in the left lane, especially on Hurry and Mad Max. It did not do that, as it instead chose to get back over in the right lane after passing the final car.

Speed was not much of a concern here, even though it was going 21 MPH over. Although it was fast, I did have a line of cars behind me traveling at the same speed, and FSD had just merged about a half mile prior, so I chose to let it continue.

There were no instances of camping in the left lane for extended periods of time. I do want to do more testing with the Speed Profiles because they were in need of some work with the previous version. I am starting to side with those who want a Max Speed setting, which was removed last year.

Navigation and Routing Still Need Work

I was heading back toward where I came from, so I turned “Avoid Highways” on to take a different way. This confused the Routing system, and instead of turning left, then right, as the Routing said, the car turned right, then indicated for another right, basically going in a big rectangle. The car ignored the second right-hand turn and continued straight. I ended up turning “Avoid Highways” off and letting the car pick the same routing option as what took me here.

I have truly complained so much about Navigation and Routing that I’m starting to feel sort of bad. It is obviously such a massive challenge for some reason, but I am confident it will improve. I recall seeing Tesla hiring someone for this role a few months back, so perhaps there is hope for it to get better.

Smarter Behavior When Approaching Exits/Routing

This probably should be grouped in with Highway Behavior, but I wanted to highlight it on its own.

The highway exit pictured was always frustrating for v14.2.2.5. In the Hurry speed profile, I have seen it try to execute passes on multiple cars with as little as 0.6 miles to spare before taking the exit.

With three cars ahead of it, it chose to reduce speed and just wait until the exit. It was refreshing to see an improvement here, so I hope this behavior persists. Sometimes there’s just no reason to pass when you’re less than a mile from getting off the highway anyway.

Larger Visibility Warnings

Tesla seems to have increased the size of these “Camera Visibility Limited” warnings. Previously, they were just small thumbnails:

Stop Sign Behavior

This is probably the biggest improvement of all, because how it behaved at Stop Signs in v14.2.2.5 was so incredibly terrible and disruptive to the flow of a busy intersection.

There are several four-way, all-stop intersections near me. In the past, FSD would stop well behind the Stop Sign or the white-painted line on the road. It would then inch forward, stopping again at this line, essentially making two stops at a single intersection.

If there is visibility, I don’t truly care where FSD stops, as long as it stops once. Stopping twice just isn’t ideal or logical. I can’t imagine many humans would do it, I know I wouldn’t.

I didn’t have that issue this evening:

This was pretty tight, too, in the sense that both my car and the other one got to the intersection at the same time. FSD may have stopped first, but the other vehicle was probably around the same point that I was when FSD decided to stop. I was happy to see the assertiveness to proceed; it felt like it was ideal to just go through. I was happy it didn’t stop a second time up at the line. I’d be fine if it stopped at the line, as long as that was the only stop it made.

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Tesla Full Self-Driving v14.3 rolls out: here’s what’s new

We are in EAP and will be on the road with v14.3 in the coming hours, so we’ll have a lot of things to discuss over the next few days, especially coming from v14.2.2.5, which I called the most “confusing” FSD release of all time.

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Tesla has officially started rolling out Full Self-Driving v14.3 to Early Access Program (EAP) members, and there are a lot of new improvements.

We are in EAP and will be on the road with v14.3 in the coming hours, so we’ll have a lot of things to discuss over the next few days, especially coming from v14.2.2.5, which I called the most “confusing” FSD release of all time.

Tesla brought out a lot of improvements, according to the v14.3 release notes, which list a vast number of fixes, new features, and new capabilities.

Here’s what Tesla’s release notes for the v14.3 release state:

  • Improved parking location pin prediction, now shown on a map with a P icon.
  •  Increased decisiveness of parking spot selection and maneuvering.
  • Rewrote the Al compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed.
  • Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles.
  • Mitigated unnecessary lane biasing and minor tailgating behaviors.
  • Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety.
  • Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping – driven by training on hard RL examples sourced from the Tesla fleet.
  • Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios.
  • Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding.
  • Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet.
  • Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements.

Tesla also listed a handful of future improvements as well:

  • Expand reasoning to all behaviors beyond destination handling
  • Add pothole avoidance
  • Improve driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting situations

CEO Elon Musk has said that v14.3 could be “where the last big piece of the puzzle finally lands.” We have high expectations for this release because, in a lot of ways, v14.2’s final version was extremely disappointing and seemed to be a regression more than anything.

Nevertheless, Full Self-Driving v14.3 is going to be quite an interesting test, considering this is also the first time Musk has stated it will feel like the car will be “sentient.”

Reasoning will be a bigger piece of the puzzle with this release, although there were some elements of it in v14.2.

Tesla AI Head says future FSD feature has already partially shipped

We plan to travel plenty of miles with it over the next few days, so we’ll keep you posted on what our thoughts are.

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