News
SpaceX ready to begin training astronauts for first private spacewalk
Two members of the “Polaris Program” say that SpaceX could begin training private astronauts for the first private spacewalk in spaceflight history as early as May or June 2022.
Revealed earlier this year, the Polaris Program is a sort of hybridization of orbital spaceflight tourism and technology development and has one primary goal: to “rapidly advance human spaceflight capabilities.” Created in partnership with SpaceX by billionaire and Shift4 Payments founder Jared Isaacman, who also funded and flew on SpaceX’s first private Crew Dragon launch, Polaris aims to pick up where Inspiration4 left off last year.
While it will still be affiliated with and seek to help St. Jude Children’s Research Hospital, the Polaris Program will focus on the development of several crucial technologies that SpaceX will need to accomplish its ultimate goal of spreading humanity throughout our solar system.
One of those crucial technologies is a cheap, reliable, and easy-to-use spacesuit that will allow future SpaceX astronauts to work outside of the safety of their spacecraft in the vacuum of space, and, one day, walk on the surfaces of other planets and moons. For Crew Dragon, SpaceX has already developed an ‘intra-vehicular activity’ or IVA pressure suit that all Dragon astronauts must wear during mission-critical maneuvers. In the event of capsule depressurization, the suits would be able to keep Dragon astronauts alive inside the capsule for at least a few days, supplying them with clean air and maintaining enough pressure to avoid altitude sickness (or worse).
However, because IVA suits generally prioritize unpressurized mobility, the astronauts inside them can do very little when the suits are fully pressurized. At sea level, every person on Earth is subjected to standard atmospheric pressure, which amounts to about 101 kilopascals or 14.5 pounds per square inch. In a spacesuit, the suit itself must maintain a pocket of air at similar pressures, ultimately meaning that the outer skin of a suit must resist the same force. To put that into context, even operating at the absolute minimum pressures that humans can realistically tolerate and use (4-6 psi), simply moving one’s arm in an IVA suit could require hundreds of pounds or kilograms of force.
Even in NASA’s aging extra-vehicular activity (EVA) spacesuits, which feature mechanical joints and other upgrades meant to make movement and life easier inside them, spacewalks are one of the most brutal and exhausting physical activities conceivable, requiring extraordinary levels of near-constant exertion for hours on end. According to comments made to Spaceflight Now by Jared Isaacman and by pilot Scott Poteet in an interview covered by AmericaSpace, SpaceX’s first EVA suit will be quite basic. To some extent, they will be heavily modified versions of SpaceX’s existing IVA suit design, but with much more advanced thermal management, an improved helmet/visor, and – most importantly – the addition of a number of mechanized joints.
As was the case with early NASA EVA suits developed in the 1960s, SpaceX’s first EVA suits will receive consumables, power, and communications through cables (tethers) that connect to Dragon’s life support. It will take SpaceX some time to develop a miniaturized, portable life support system as safe and capable as the packs used on NASA’s EVA suits. A tethered EVA suit will still allow SpaceX or private astronauts to perform EVAs and work on or inspect the exterior of their Crew Dragon or Starship spacecraft – capabilities that could save lives in certain emergency scenarios. SpaceX’s first priority, then, will be to make sure that the basics work well in space and that the suits actually allow astronauts to perform tasks that require good finger and limb dexterity without immediately exhausting themselves.
“You’re adding lots of redundancies in the suit that don’t exist today, since it’s more last line of defense,” Isaacman said, referring to the differences between SpaceX’s current suit and the new extravehicular spacesuit. “You have a new visor, new seals, then mobility, joints everywhere for increased mobility and dexterity in the fingers and such. I think, visually, it will be more along the lines of what it currently looks like, but very much like a new suit.”
Spaceflight Now – May 10th, 2022
The first of up to three Polaris missions – Polaris Dawn – is currently scheduled to launch as early as November 2022. All four private astronauts – made up of two Polaris employees and two SpaceX employees – will wear the new EVA suits in place of their usual IVA suits, while only two members of the crew will ultimately attempt to exit the capsule and perform a single EVA that could last roughly 30-90 minutes. To do so, the entire Dragon will be depressurized and one of two hatches opened will be opened, while the the other two EVA-suited astronauts will simply remain in their seats. Regardless of the outcome, it will be the first private spacewalk in the history of spaceflight.
The astronauts training to prepare for Polaris Dawn will focus heavily on the EVA, offering either the two chosen crew members or all four candidates an opportunity to experience deep-sea diving and test EVA suits both underwater and inside a Dragon capsule simulator.
Beyond supporting SpaceX’s EVA spacesuit development, Polaris Dawn’s crew will also conduct a range of science experiments, attempt to connect to high-speed internet in orbit through Starlink laser links, and even try to break the record for the highest Earth orbit reached by a crewed spacecraft (1400 km / 870 mi).
News
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
