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SpaceX customer iSpace updates Falcon 9-launched Moon lander, rover plans
Japanese commercial space company iSpace has provided an updated schedule for its first private missions to the Moon, both set to launch on Falcon 9 rockets and land on the Moon as early as 2021 and 2023.
iSpace’s goal is to understand and map lunar resources (particularly water ice) and eventually gather and process those materials into resources that could help enable far more ambitious lunar exploration, up to and including a partially self-sustaining lunar outpost capable of supporting astronauts. Known as Hakuto-R (“white rabbit” reboot), iSpace began as a team pursuing the Google Lunar XPRIZE before its cancelation in 2018 after several postponements pushed competing teams well past the prize deadline.
We also announced an updated mission schedule for the HAKUTO-R Program. We will perform a lunar landing in 2021 and a lunar landing and rover deployment in 2023. https://t.co/jGaZ3eqRRE— HAKUTO-R (@HAKUTO_Reboot_e) August 22, 2019
Despite the death of the Lunar XPRIZE, iSpace managed to not only survive but thrive in a more entrepreneurial environment. The company managed to convince several major investors of the potential value of commercial space exploration and became one of a select few spaceflight startups – certainly the only space resources startup – that has raised almost $100 million.
Relative to similar startups Planetary Resources (purchased by a blockchain company; effectively dead) and Deep Space Industries (acquired by Bradford Space), iSpace is in an unprecedentedly healthy position to realize its space resource ambitions.
NewSpace, OldProblems
One could likely climb to the Moon with nothing more than a printed stack of all the studies, analyses, white papers, and hollow promises ever published on the utilization of space-based resources, an ode to the simultaneous promise and pitfalls the idea poses. As many have discovered, developing the ability to acquire, refine, and sell space resources is one of the most long-lead problems in existence. Put another way, funding a space exploration company on the promise of (or income from) space resources is a bit like paying for a solid-gold ladder by selling the fruit you needed it to reach.
For such an enterprise to make economical sense, one must either have access to ladders that are cheaper than their weight in gold or be able to sell the harvested fruit at breathtaking premiums. The point of this analogy is to illustrate just how challenging, expensive, and immature deep space exploration is relative to the possible resources currently within its grasp. There is also a bit of a circular aspect to space resource utilization: to sell the resources at the extreme premiums needed to sustain their existence, there must be some sort of established market for those resources – ready to purchase them the moment they’re available.
To build a market on space resources, one must already possess space resources to sell. This is the exact thing that government space agencies like NASA should develop, but entrenched and greedy corporate interests have effectively neutered NASA’s ability to develop technology that might transcend the need for giant, ultra-expensive, expendable rockets.
The need to secure funding via investors – investors expecting some sort of return – is the biggest roadblock to space resource utilization. Really, the only conceivable way to sustainably raise funding for space resource acquisition is to already have a functional and sustainable company as a base. SpaceX is a prime example: the company hopes to fund the development of a sustainable city on Mars with income from its launch business and Starlink internet constellation.
Ambitious plans, solid funding
Given all of the above, it’s extremely impressive that iSpace has managed to raise nearly $100M in just a few years and has done so without the involvement of one or several ultra-wealthy angel investors. Of course, it must still be acknowledged that the cost of iSpace’s longer-term ambitions can easily be measured in the tens of billions of dollars, but given an extremely lean operation and rapid success, $100M could plausibly fund at least one or two serious lunar landing attempts.
In the realm of flight tests, iSpace previously planned to perform a demonstration launch in 2020, in which a simplified lander would be used to orbit the Moon but not land. In the last year or so, the company has decided to entirely forgo that orbital test flight and instead plans to attempt a Moon landing on its first orbital flight, scheduled to launch on Falcon 9 no earlier than (NET) 2021. If successful, this inaugural landing would be followed as few as two years later (2023) by a lander and a lunar rover. Assuming a successful second landing, iSpace would move to ramp its production rates, launch cadence, and general ambitions, prospecting all over the Moon in 5-10+ separate lander missions.
iSpace will still face the brick wall that all space resource companies eventually run into. Even if the company can successfully demonstrate a Moon landing and resource prospecting, it will need additional funding (and thus a commercially sustainable plan to sell investors on) to continue work and eventually, just maybe, get to a point where selling space-based resources can become a sustainable source of income.
Regardless of iSpace’s long-term business strategy, the early 2020s will be jam-packed with attempted commercial lunar landings, including Hakuto-R, Astrobotic, Intuitive Machines, and perhaps several other companies’ attempts. By all appearances, the exceptional mix of high performance and low cost offered by SpaceX’s Falcon 9 rocket will serve as a major enabler, allowing companies to put most of their funding into their landers instead of launch costs.
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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.
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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.
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
