News
SpaceX to demonstrate weekly launch cadence: 3 launches in 14 days

LC-39A undergoing repairs and tests after the launch of CRS-11. (/r/SpaceX)
SpaceX is in the process of preparing to launch BulgariaSat-1, with the first attempt scheduled for Saturday, June 17th between 2:10 p.m and 4:10 p.m. EST. BulgariaSat-1 will be Bulgaria’s second satellite ever and will act as a telecommunications hub in geostationary orbit, around 30,000 miles above Earth.
Following a highly successful launch and docking of the eleventh cargo mission of its Dragon spacecraft, Launch Complex 39A has since undergone routine checks to verify its condition and has likely been lightly repaired. The static fire for the upcoming mission is scheduled as early as tomorrow. Both the static fire and launch were pushed back two days due to a 48 hour delay of the CRS-11 launch.
The launch of BulgariaSat-1 is already exceptional for several reasons. First and foremost, the Falcon 9 first stage to be used in the upcoming mission has already flown once before, assisting in the successful launch of Iridium’s first ten NEXT satellites in early January of this year. It will thus mark the second time SpaceX has truly reused a Falcon 9 first stage. There has even been a bit of circumstantial evidence that the choice to launch on a recovered F9 resulted in BulgariaSat-1 being moved ahead of Intelsat 35e, which is now scheduled for no earlier than July 1st. Regardless, another successful reuse will be a boon for a SpaceX in the throes of an unprecedentedly busy year of launches by once again demonstrating the viability of their program of reuse and thus hopefully swaying more customers to take the leap to reused rocket cores.
The second reason, as touched on above, is that BulgariaSat-1 will mark the beginning of a two week period in which SpaceX could potentially conduct three separate launches, two at Cape Canaveral and one at Vandenberg Air Force Base. If successful, this would demonstrate weekly single-vehicle launch cadence, something that has not been seen in the launch industry in quite some time. This weekly cadence, if successful, will demonstrate a maturing company that is truly preparing for extraordinary launch cadence. By using two pads, one in California and one in Florida, SpaceX will still be able to provide two weeks between launches in order to prepare each launch site for the next launch, while effectively launching once a week. While Vandenberg Air Force Base can only support polar orbit launches, LC-40 is currently deep into the process of being repaired and reactivated following the failure of a Falcon 9 late last year.
With LC-40 preparing for reactivation sometime in August or September, SpaceX will find themselves at long last with two viable all-purpose launch pads in very close proximity to each other. By staggering launches on each pad and continuing to maintain the two week pad turnaround time after launches, SpaceX could theoretically begin to sustain regular weekly launches as few as three months from now. A successful weekly cadence this month could reinforce that such a sequence of events is a possibility.

Iridium NEXT 1’s Falcon 9 first stage after recovery in the Pacific Ocean. (SpaceX)
SpaceX has long been working to rapidly increase its ability to launch frequently, and this year has been an exceptional example of several pieces fitting together. The company has begun to use an automated flight termination system, which will allow them to rely less upon the availability of Cape Canaveral’s Range Officers while crafting their manifest and launch schedules. Normally, the flight termination system in rockets is monitored by an actual team of people who have barely a few seconds to decide if rocket telemetry is less than nominal and prevent what is effectively a large missile from impacting populated areas. SpaceX has replaced this with an arguably much safer approach dependent upon their mature autonomous avionics systems, simply meaning that computers on board their rockets and spacecraft automatically analyze telemetry and control vehicle performance and guidance. SpaceX has been testing this system in a way that is almost identical to Tesla’s method of installing inert autonomy software that can learn without actually controlling the vehicle, and it is consequently only now being implemented after SpaceX and the Air Force have a high degree of confidence that it will outperform its human colleagues.
The ultimate goal of this automated flight termination system (AFTS), as well as many other significant changes to both the hardware of pads and vehicles, is to eventually allow SpaceX to accomplish Elon Musk’s long fabled and oft-ridiculed goal of 24-hour reusability, and thus 24-hour launch cadence. SpaceX and the USAF have both stated that AFTS alone will likely allow Cape Canaveral to support up to 48 launches a year. While shared between ULA and SpaceX, even 36 launches a year would effectively leave SpaceX with a shrinking launch manifest and significantly increased revenue and profit. This would speculatively allow them to more rapidly develop their pursuits of Mars, a vast constellation of broadband satellites, and more.

BulgariaSat-1 being prepared for launch. (SSL)
Nevertheless, this is all of course speculation and dependent upon many things going well. If SpaceX is able to successfully launch BulgariaSat-1 on June 17th, Iridium NEXT 2 on the 25th, and Intelsat 35e on July 1st, they will have successfully demonstrated the ability to support a weekly launch cadence and will have to do little more than wait for the availability of a second East coast pad to begin to take full advantage of it.
With ten launches scheduled between now and October and ten more launches scheduled between October and the end of December, it is guaranteed to be one incredible year for SpaceX and their fans.
News
Tesla Robotaxi gets sweeping but polarizing change
Tesla has started rolling out a broader change to the ride experience for its Robotaxi fleet by silencing turn signals, but the change is certainly polarizing.
Tesla has generally made it clear that its purpose-built ride-hailing platform, Robotaxi, will cater to the rider in nearly every way possible. This includes having climate preferences, music, and other personal settings loaded up in the car as the rider enters.
But Tesla is taking it a step further by muting turn signal chimes altogether, a change that appears to be a way to make the ride more peaceful:
Tesla has finally turned off the blinker/turn signal noises in their Model Y Robotaxis.
This is a small update, but will definitely be noticeable for riders. It didn’t really make much sense to leave the turn signal sound on when it’s Unsupervised. pic.twitter.com/ITwx60PAMO
— Sawyer Merritt (@SawyerMerritt) July 27, 2026
However, there are a handful of people who are not thrilled about this change. Turn signals are a conditioned part of the human mind for those who ride in a car regularly.
Taking a turn without one feels strange and odd, and not hearing it click while activated could set off some alarms for riders, who might use the noise as confirmation that other drivers know of their intention to turn.
I kind of like it being on, threw me off when riding with Zoox who has had it disabled
— Dan Burkland (@DBurkland) July 27, 2026
Turn signal noises are still audible in customer cars, so if you use FSD in your personal vehicle, you will still hear the turn signal.
The move is certainly one that is unique, but not one that separates it from other ride-sharing services. In a normal car, the clicking sound confirms to the driver that the blinker is active. In a fully driverless Robotaxi, that feedback serves no purpose for passengers, other than peace of mind.
News
Tesla Full Self-Driving v14.3.6 review: a rare regression, but some bright spots
Tesla released Full Self-Driving version 14.3.6 last week, and after what was potentially one of the best FSD releases in v14.3.5, there has been a bit of a regression. While there are some bright spots, the changes made to v14.3.6 seem to have backtracked some behaviors.
Overall, it is hard to really complain about FSD in any sense; it has revolutionized how I travel literally anywhere. According to my self-driving app, the last time I went a day without using it was 59 days ago.
However, I think it’s also important to recognize when things are just plain bad with FSD. There are times it does truly mind-boggling things, and I’ll dive into those here. Additionally, I only had these issues on local roads, not on highways. Highway operation, generally, is always incredible other than the occasional complaint about speed or left lane camping.
With those things being said, my personal experience may not represent others’ experiences. A handful of people have said they have had a similar experience on v14.3.6, while others have said it is more than normal.
Turning Hesitancy, Inaccuracy
I’ve noticed more inaccuracy turning into multi-lane stretches of road than in any version I can remember. I’ve had at least three instances of FSD turning into a stretch of roadway that has two or more lanes, and not selecting a lane confidently as it has in past versions.
I think Tesla FSD v14.3.6 is a regression from previous .3 branches
This version in particular has been incredibly hesitant, jerky, and indecisive at times. There’s actually been two drives that I have decided to not used FSD for the remainder of the trip. These were local trips… pic.twitter.com/YobHDOKRS6
— TESLARATI (@Teslarati) July 26, 2026
Instead, the car will drive over one of the dashed road lines, and the steering wheel will jerk back and forth before picking the lane. It should be said that it has always picked the correct lane when choosing based on the navigation, but it is still very indecisive. The steering wheel jerking is reminiscent of some of the later versions of v13.
I admit I really hate to see the steering wheel jerking come back. However, I think when Tesla releases v14.3.7, it won’t be present. When there are occurrences of it in FSD versions, it is usually resolved by the following release.
FSD Disregards Manual Turn Signals
This is my biggest bone to pick with FSD other than Navigation issues, but this one seems like it would be such an easy fix.
If Tesla is going to put the word “Supervised” on the end of “Full Self-Driving,” then when I tell the car to do something, it should do it. If I input an increase in speed by pressing the accelerator, the car will immediately respond. It does not disregard my input because it feels it is traveling at the right speed.
FSD should never disobey and turn off turn signals that the driver inputs. Trying to direct the car into the correct lane, I had initiated the left turn signal not once, not twice, but three times, with the car turning it off all three times and continuing in a lane that would end in just one block. The only solution at this point would be to zipper merge.
This goes back to the fact that self-driving’s biggest bottleneck might be rider preference. A zipper merge might have been more than reasonable, might have saved me time that I spent sitting through an additional light cycle, and might be something many drivers would do. I was in no hurry, I traditionally do not try to zipper merge because it feels inconsiderate, and lastly, the car should have just followed my input.
This caused me to disengage and drive manually the rest of the way home. Sometimes I just do not need FSD to try to pass every car it can at intersections.
Bird Braking is a Thing of the Past
The big complaint with recent versions of Full Self-Driving has been what we’ve coined as “bird braking,” which is when the car will brake suddenly as a bird flies past.
There have been zero issues with this so far in v14.3.6, which is an excellent improvement.
FSD Might Already Be Taking Note of Driver Preferences
Another thing I have noticed over the past few days is that v14.3.6 seems to already be taking my preferences with navigation into account.
This is something that is supposed to be rolling out with the Summer Update, but I have a hunch it’s already present and might have been included in this v14.3.6 build. On Friday, FSD pulled into an entrance to a local convenience store that it had never attempted to go into before.
Typically, I manually pull into this entrance because it avoids heavy cross traffic at the main entrance. FSD has always chosen that congested main entrance.
I don’t want to get anyone excited but my Tesla running FSD v14.3.6 just:
✅ Pulled into an entrance at my local Sheetz that I routinely pull into manually but FSD never has entered
✅ Pulled into my assigned parking space at home despite many other spots being vacant https://t.co/ZUShvknTWO pic.twitter.com/83O5a2S0eh
— TESLARATI (@Teslarati) July 24, 2026
Additionally, FSD has pulled into my assigned parking spot at my townhouse community on multiple occasions with this release. This is something that used to happen ocassionally, but not consistently.
It also navigated back to the same convenience store last night, drove through crazy cars scrambling to gas pumps, navigated out of the parking lot correctly, drove me home, and, once again, parked in my assigned spot.
As previously stated, this release just seems to have a few things that need to be brought to Tesla’s attention, and also to make others who use FSD aware of some things that I’ve experienced. I look forward to the next release that will remedy these issues, just as Tesla has always done in the past.
Elon Musk
Musk’s massive Terafab project will get final location soon
Elon Musk’s massive Terafab project, which will be the first true conglomeration between each of his major entities, is set to get its final location soon, the CEO said on Tesla’s recent earnings call.
“The Terafab, we expect to announce a location soon, and provide more details about our plans in that regard. We’ll leave that to the product, the launch announcement rather than try to squeeze it into an earnings call,” Musk said last Wednesday.
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
Terafab was announced by Musk back in March and was essentially a massive, vertically integrated semiconductor manufacturing project that would provide all the chips the three companies needed for their AI initiatives without needing third-party companies.
The plant will produce over 1 terawatt of AI compute each year, and will help back up projects like Optimus, Full Self-Driving, and other AI-based projects that Musk’s companies are working on.
In April, less than a month after the project was launched, Intel announced it would join the project, contributing manufacturing expertise and consulting to Terafab as a whole. Intel is one of three chip manufacturers that produce sub-5 nanometer chips at scale. TSMC and Samsung are the other two.
However, there was no true indication of where Terafab would end up, but most believe it will likely be somewhere in Texas. Business Insider has reported that SpaceX plans to build out Terafab in Grimes County, Texas, but this is unconfirmed.
Musk confirmed recently that it would not be on Giga Texas property, as it is simply too large.
The sheer scale of TERAFAB is going to be insane.
Elon said it wouldn’t be suitable for anywhere on Giga Texas property because it’s too big:
“We couldn’t possibly fit the Terafab on the GigaTexas campus. It will be far bigger than everything else combined there.
Several… pic.twitter.com/79GbhNNuf4
— TESLARATI (@Teslarati) March 23, 2026
Terafab holds much of Musk’s grand ambitions for the future within its construct. It holds so much responsibility for the future and the biggest projects that Musk’s companies can imagine.
“I think this is a very big announcement and it deserves to have its own day in the spotlight and not be squeezed into an earnings call,” he said. “I do think Terafab is going to be an amazing initiative and a necessary one, and one without which we will be constrained in our ability to scale Optimus production, because we simply won’t have enough AI chips.”
He continued by stating that Terafab is necessary for scaling Optimus, which Musk said could be the biggest product of any kind of all time. “It’s crucial to solve that, and we’ll have to solve memory, logic, and packaging in order to scale Optimus.”

