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SpaceX nears big US govt. missions as ULA handwaves about risks of competition

Falcon 9 B1045 rolls out to Pad 40 ahead of its first launch in April 2018. (NASA/SpaceX)

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Speaking at the 2018 Von Braun Symposium in Huntsville, Alabama, ULA COO John Elbon expressed worries that the US National Security Space (NSS) apparatus could be put at significant risk if it comes to rely too heavily on the commercial launch industry to assure access to space.

Given that the US military’s launch capabilities rest solely on SpaceX and ULA and will remain that way for at least three more years, Elbon’s comment was effectively an odd barb tossed in the direction of SpaceX and – to a lesser extent – Blue Origin, two disruptive and commercially-oriented launch providers.

Reading between the lines

For the most part, Elbon’s brief presentation centered around a reasonable discussion of ULA’s track record and future vehicle development, emphasizing the respectable reliability of its current Atlas V and Delta IV rockets and the ‘heritage’ they share with ULA’s next-generation Vulcan vehicle. However, the COO twice brought up an intriguing concern that the US military launch apparatus could suffer if it ends up relying too heavily on ‘commercially-sustained’ launch vehicles like Falcon 9/Heavy or New Glenn.

To provide historical context and evidence favorable to his position, Elbon brought up a now-obscure event in the history of the launch industry, where – 20 years ago – companies Lockheed Martin and Boeing reportedly “set out to develop … Atlas V and Delta IV” primarily to support the launch of several large satellite constellations. The reality and causes of the US launch industry’s instability in the late ’90s and early ’00s is almost indistinguishable from this narrative, however.

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Despite the many veils of aerospace and military secrecy surrounding the events that occurred afterward, the facts show that – in 1999 – Boeing (per acquisition of McDonnell Douglas) and Lockheed Martin (LM) both received awards of $500M to develop the Delta IV and Atlas V rockets, and the military further committed to buying a full 28 launches for $2B between 2002 and 2006. Combined, the US military effectively placed $3B ($4.5B in 2018 dollars) on the table for its Evolved Expendable Launch Vehicle (EELV) program with the goal of ensuring uninterrupted access to space for national security purposes.

Rocketing into corporate espionage

“The robust commercial market forecast led the Air Force to reconsider its acquisition strategy.  The EELV acquisition strategy changed from a planned down-select to a single contractor and a standard Air Force development program [where the USAF funds vehicle development in its entirety] to a dual commercialized approach that leveraged commercial market share and contractor investment.” – USAF EELV Fact Sheet, March 2017

The above quote demonstrates that there is at least an inkling of truth in Elbon’s spin. However, perhaps the single biggest reason that the EELV program and its two awardees stumbled was gross, inexcusable conduct on the part of Boeing. In essence, the company’s space executives conspired to use corporate espionage to gain an upper-hand over Lockheed Martin, knowledge which ultimately allowed Boeing to severely low-ball the prices of its Delta IV rocket, securing 19 of 28 available USAF launch contracts.

Ultimately, Lockheed Martin caught wind of Boeing’s suspect behavior and filed a lawsuit that began several years of USAF investigations and highly unpleasant revelations, while Boeing also had at least 10 future launch contracts withdrawn to the tune of ~$1B (1999). USAF investigations discovered that Boeing had lied extensively to the Air Force for more than four years – the actual volume of information stolen would balloon wildly from Boeing’s initial reports of “seven pages of harmless data” to 10+ boxes containing more than 42,000 pages of extremely detailed technical and proprietary information about Lockheed Martin’s Atlas V rocket proposal.

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“If you rewind the clock 20 years, there were folks on a panel like this having dialogue about commercial launch, and there were envisioned several constellations that were going to require significant commercial launch. Lockheed Martin and Boeing set out to develop launch vehicles that were focused on that very robust commercial market – in the case of McDonald Douglas at the time, which later became Boeing, the factory in Decatur was…sized to crank out 40 [rocket boosters] a year, a couple of ships were bought to transport those…significant infrastructure put in place to address that envisioned launch market.” – John Elbon, COO, United Launch Alliance (ULA)

 

In reality, Boeing was so desperate to secure USAF launches – despite the fact that it knew full well that Delta IV was too expensive to be sustainably competitive – that dozens of employees were eventually roped into a systematic, years-long, highly-illegal program of corporate espionage specifically designed to beat out government launch competitor Lockheed Martin. Humorously, Delta IV was not even Boeing’s design – rather, Boeing acquired designer McDonnell Douglas in late 1996, five days before the USAF announced the decision to reject Boeing and another company’s EELV proposals, narrowing down to two finalists (McDonnell Douglas and Lockheed Martin).

Seven years after the original lawsuit snowballed, Boeing settled with Lockheed Martin for a payment of more than $600M in 2006, accepting responsibility for its employees’ actions but admitting no corporate wrongdoing. Five years after that settlement, John Elbon became Vice President of Boeing’s Space Exploration division. This is by no means to suggest that Elbon is in any way complicit, having spent much of his 30+ years at Boeing managing the company’s involvement in the International Space Station, but more serves as an example of how recent these events are and why their consequences almost certainly continue to reverberate loudly within the US space industry.

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SpaceX forces change

Worsened significantly by the consequences of Boeing’s lies about the actual operational costs of its Delta IV rocket (it had planned to secretly write off a loss on each rocket in order to steal USAF market share from LockMart), the commercial market for the extremely expensive rocket was and still is functionally nonexistent. 35 out of the family’s 36 launches have been contracted by the US military (30), NOAA (3), or NASA (2); the rocket’s first launch, likely sold at a major discount to Eutelsat, remains its one and only commercial mission.

ULA’s Delta Heavy seen during the August 2018 launch of NASA’s Parker Solar Probe. (Tom Cross)

Atlas V, typically priced around 30% less than comparable Delta IV variants, has had a far more productive career, albeit with very few commercial launches since the Dec. 2006 formation of the United Launch Alliance. Since 2007, just 5 of Atlas V’s 70 launches have been for commercial customers. Frankly, although Atlas V was appreciably more affordable than Delta IV, neither rocket was ever able to sustainably compete with Europe’s Ariane 5 workhorse – Ariane 5 cost more per launch, but superior payload performance often let Arianespace manifest two large satellites on a single launch, approximately halving the cost for each customer. Russia’s affordable (but only moderately reliable) Proton rockets also played an important role in the commercial launch industry prior to SpaceX’s arrival.

After fighting tooth and nail for years to break ULA’s US governmental launch monopoly, SpaceX’s first dedicated National Security Space launch finally occurred less than a year and a half ago, in May 2017. SpaceX has since placed a USAF spaceplane and a classified NSS-related satellite into orbit and been awarded launch contracts for critical USAF payloads, most notably winning five of five competed GPS III satellite launches, to begin as early as mid-December. Falcon 9 will cost the USAF roughly 30% less than a comparable Atlas 5 contract, $97M to ULA’s ~$135M.

 

A bit more than two decades after Boeing bought McDonnell Douglas and began a calculated effort to steal trade secrets from Lockheed Martin, Elbon – now COO of the Boeing/Lockheed Martin-cooperative ULA – seems to fervently believe that the most critical mistake made in the late 1990s and early 2000s was the USAF’s decision to partially support the development of two separate rockets. Elbon concluded his remarks on the topic with one impressively unambiguous summary of ULA’s position:

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“We have to make sure that we don’t get too much supply and not enough demand so that the [launch] providers can’t survive in a robust business environment, and then we lose the capability as a country to do the launches we need to do … [That’s] the perspective we have at ULA and it’s based on the experience that we’ve been through in the past.”

In his sole Delta IV vs. Atlas V case-study, what ULA now seems to think might have been “too much supply” under the USAF’s EELV program appears to literally be the fundamental minimum conditions needed for competition to exist at all – two companies offering two competing products. Short of directly stating as much, it’s difficult to imagine a more concise method of revealing the apparent belief that competition – at all – is intrinsically undesirable or risky.

A recording of the Von Braun Symposium’s Commercial Space panel can be viewed here at timestamp 01:11:40.

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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