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SpaceX’s upgraded Starship set for test flight despite sore NASA contract losers
Within the last week, while SpaceX has been diligently working to ready an upgraded Starship prototype for its first launch, former competitors Blue Origin and Dynetics – both of which recently lost a historic NASA Moon lander contract to SpaceX – have filed “protests” and forced the space agency to freeze work (and funds).
That means that NASA is now legally unable to use funds or resources related to its Human Lander System (HLS) program or the $2.9 billion contract it awarded SpaceX on April 16th to develop a variant of Starship to return humanity to the Moon. However, just like SpaceX has already spent a great deal of its own time and money on Starship development and – more recently – a rapid-fire series of launches, the company appears to have no intention of letting sore losers hamper its rocket factory or test campaign.
Instead, on the same two days Blue Origin and Dynetics loudly filed official protests with the US Government Accountability Office (GAO), SpaceX performed two back-to-back static fire tests with a Starship prototype and Raptor engines outfitted with “hundreds of improvements.” Technical challenges and unsavory weather conditions forced SpaceX to call off a launch planned sometime last week but the company now appears to be on track to launch Starship prototype SN15 as early as Tuesday, May 4th.
In principle, the ability for companies to protest US government contracting decisions is a necessity and (nominally) a net good but it can easily be misused – and often in damaging ways. In the case of Blue Origin and Dynetics, it’s difficult not to perceive both protests as examples of the latter.
Blue Origin effectively disagrees with every single major point made and conclusion drawn by NASA’s Source Selection Authority (Kathy Lueders) and a separate panel of experts – often to the point that the company is strongly implying that it understands NASA’s contracting process better than the space agency itself. Blue Origin partners Northrop Grumman and Lockheed Martin are both partially or fully responsible for several of their own catastrophic acquisition boondoggles (F-35, Orion, SLS, James Webb Space Telescope, etc.) and are part of the military-industrial complex primarily responsible for turning US military and aerospace procurement into the quagmire of political interests, quasi-monopolies, and loopholes it is today.
The primary argument is generally shared by both protestors. In essence, Dynetics [p. 23; PDF] and Blue Origin [PDF] believe that it was unfair or improper for NASA to select just a single provider from the three companies or groups that competed. They argue that downselecting to one provider in lieu of budget shortfalls changed the procurement process and competition so much that NASA should have effectively called it quits and restarted the entire five-month process. Blue Origin and Dynetics also both imply that they were somehow blindsided by NASA’s concerns about a Congressional funding shortfall.
In reality, NASA could scarcely have been clearer that it was exceptionally sensitive about HLS funding and extremely motivated to attempt to return humans to the Moon by 2024 with or without the full support of Congress – albeit in fewer words. As Lueders herself noted in the HLS Option A award selection statement, the solicitation Blue, Dynetics, and SpaceX responded to states – word for word – that “the overall number of awards will be dependent upon funding availability and evaluation results.”
Additionally, implications that NASA somehow blindsided offerors with its lack of funding are woefully ignorant at best and consciously disingenuous at worse. Anyone with even the slightest awareness of the history of large-scale NASA programs would know that the space agency’s budget is all but exclusively determined by Congress each year and liable to change just as frequently if political winds shift. Short of blackmailing members of Congress or wistfully hoping that other avenues of legal political influence and partnership actually lead to desired funding and priorities appearing in appropriations legislation, NASA knows the future of its budget about as well as anyone else with access to the internet and a rudimentary awareness of history and current events.
It became clear that Congress was likely to drastically underfund NASA’s HLS program as early as November 2020 – weeks before HLS Option A proposals were due. The latest appropriations bill was passed on January 3rd, 2021, providing NASA $850 million of the ~$3.4 billion it requested for HLS. Historically, NASA’s experience with the Commercial Crew Program – public knowledge available to anyone – likely made it clear to the agency that it could not trust Congress to fund its priorities in good faith when half a decade of drastic underfunding ultimately delayed the critical program by several years. That damage was done by merely halving NASA Commercial Crew budget request from 2010 to 2013, whereas Congress had already set itself on a path to provide barely a quarter of the HLS funds NASA asked for in the weeks before Moon lander proposals were due.
Ultimately, the protests filed by Blue Origin and Dynetics are packed to the brim with petty axe-grinding, attempts to paint SpaceX in a negative light, and a general lack of indication that either company is operating in good faith. Instead, their protests appear all but guaranteed to fail while simultaneously forcing NASA to freeze HLS work and delay related disbursements for up to 100 days. Given that SpaceX is now technically working to design, build, qualify, and fly an uncrewed Lunar Starship prototype by 2023 and a crewed demonstration landing by 2024, 100 days represents a full 7-10% of the time that’s available to complete that extraordinary task.
Ironically, the protests made by Blue Origin and Dynetics have already helped demonstrate why NASA’s decision – especially in light of unambiguous budgetary restrictions – to sole-source its HLS Moon lander contract to SpaceX was an astute one. Had a victorious Blue Origin or Dynetics been in a similar position to SpaceX, it’s almost impossible to imagine either team continuing work to a significant degree in lieu of NASA funding or direction. SpaceX, on the other hand, hasn’t missed a beat and looks set to continue Starship development, production, and testing around the clock regardless of NASA’s capacity to help.
In other words, with a little luck, the actual schedule impact of a maximum 100-day work and funding freeze should be a tiny fraction of what it could have been if NASA had selected an HLS provider more interested in profit margins and stock buybacks than creating a sustainable path for humanity’s expansion beyond Earth.
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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.
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
