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SpaceX on track for biweekly launch cadence in the remainder of year

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Weekly rapid reuse launches expected by 2019

The foggy, atmospheric launch of Iridium-2 just yesterday. (SpaceX)

Following a weekend of extraordinary accomplishments, seeing SpaceX flawlessly execute two missions – one with a reused first stage – in just over 48 hours of each other, the company has capitalized on a uniquely successful weekend and year and offered information about their future plans.

The launch of BulgariaSat-1 and Iridium-2 on Friday and Sunday respectively marked the eight and ninth launches of 2017 for SpaceX, and officials at the company are reportedly expecting to launch approximately 24 missions this year, meaning 15 more to come over the next 6 months. Given the recent demonstration of 48 hour launch cadence and a more regular schedule of biweekly launches in the past few months, an expectation of 15 more launches for 2017 lines up perfectly with a cadence of two launches a month from LC-39A Cape Canaveral and three Iridium launches from Vandenberg, which happens to be exactly what is currently manifested.

Originally manifested for up to 27 launches this year, successfully launching 24 missions, one of which might be the inaugural flight of Falcon Heavy, would be extraordinarily hard to ignore in an industry that has compared the launch industry to manufacturing beverage containers and argued that reuse is only sustainable with more than 20 launches a year on a company’s manifest.

BulgariaSat-1 was successfully launched 48 hours before Iridium-2, and marked the second successful, commercial reuse of an orbital rocket. (SpaceX)

SpaceX is now likely to undertake 24 launches this year, but the company also revealed this weekend that it intends to achieve a regular weekly launch cadence (52 launches per year) as soon as 2019. In a recent article, I speculated that we might begin to see regular weekly launches once both LC-39A and LC-40 were active, and that appears to be nearly correct. If SpaceX is to regularly conduct weekly launches by 2019, it is bound to begin shrinking its two week cadence as soon as is safe and possible. This will likely occur once Falcon Heavy has successfully flown several times from LC-39A, thus freeing SpaceX to deem the vehicle operational and less at risk of destroying one of their two Eastern pads.

There is also a tentative understanding that SpaceX is striving to construct and activate their planned Boca Chica, Texas launch complex by 2019. The successful reactivation of LC-40 and subsequent modification of LC-39A for Falcon Heavy will leave the brunt of SpaceX’s launch complex maintenance and construction teams free to focus entirely on the Texas facility sometime late this year or early next year, meaning that Boca Chica pad activation could certainly occur as early as 2019. This would leave the company with two fully operational all-purpose launch pads dedicated to Falcon 9 launches if they choose to retain LC-39A solely for Falcon Heavy and Commercial Crew launches, allowing them to reach weekly cadences even before the launches of Falcon Heavy, Commercial Crew contracts, and Vandenberg launches are accounted for.

One crucial factor playing into SpaceX’s ability to launch 52 times in a year is of course reusability, as it is hard to imagine SpaceX more than doubling their Falcon manufacturing capabilities in under a year and a half. Likely no coincidence, SpaceX simultaneously offered information to insurance underwriters about the increasing speed of their ability to launch, recover, and reuse first stages. More specifically, a spokesman of the company stated that the reuse of BulgariaSat-1’s Falcon 9 1029 took considerably less than half as long as the inaugural reuse of the stage that launched SES-10 earlier this year, implying that refurbishment and quality assurance checks for 1029 took something like four or five months total.

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With SpaceX having debuted new titanium grid fins intended to speed up reuse on the Sunday launch of Iridium-2, the company is well on its way to transferring over to Block 4 (upgraded engine performance) and possibly Block 5 of Falcon 9 later this. Block 5 is expected to introduced major changes meant to replace aspects of the current Falcon 9 that require major refurbishment after recovery. Musk detailed these changes several months ago in a Reddit AMA (Ask Me Anything), mentioning that reusable heat shielding around the engines, improved landing legs, and titanium grid fins were the main aspects of a Block 5 of Falcon 9 meant to offer rapid reuse without refurbishment. In June 22nd interview on the Space Show, Gwynne Shotwell reiterated that this “final” version of Falcon 9 is expected to be able to launch, land, and relaunch with barely more than a thorough once-over, and ought to be capable of flying a dozen missions at least.

Falcon 9’s fancy new titanium grid fins. (SpaceX/Instagram)

This final piece of the puzzle of weekly cadence fits in quite nicely. With a possible introduction date for Block 5 of late 2017 or early 2018, SpaceX will likely end production of Block 3 by the end of this year and transfer over entirely to the easily reusable Block 5. Assuming a continuing a trend of increasingly reuse-friendly customers, Hawthorne production capacity of approximately 20 Falcon 9s per year, and a plausibly significant reduction in launch costs due to more rapid and complete reuse, SpaceX could find themselves at the start of 2019 with a dozen or more launch vehicles that are each capable of conducting upwards of 10-12 highly affordable launches each.

Let there be no doubt: these are incredibly optimistic and difficult goals for the company to achieve on the timescale they have provided. However, given the number of beneficial changes likely to soon be made to both the launch vehicles and SpaceX’s manufacturing, launch, and refurbishment facilities in the next 6-12 months, those goals are realistically achievable, albeit with some likely delays. Regardless, things are beginning to get rather intense for SpaceX and for the launch industry in general.

Keep your eyes peeled for upcoming Teslarati coverage of SpaceX’s next July 4th launch and its static fire that is scheduled for as soon as this Thursday.

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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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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.

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Credit: Tesla

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:

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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.

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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.

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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:

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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.

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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.

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Tesla ends Full Self-Driving purchase option in the U.S.

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.

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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:

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.

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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.

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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.

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Credit: Tesla

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:

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“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

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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.

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Tesla-Chips-HW3-1
Credit: Tom Cross

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).

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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.

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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.

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