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Boeing Starliner abort test (mostly) a success as SpaceX nears Crew Dragon static fire

The SpaceX Crew Dragon capsule and Boeing CTS-100 Starliner have completed critical pad abort tests under NASA's Commercial Crew Program.(NASA/Teslarati)

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6 years ago

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On November 4th, Boeing completed a crucial pad abort test of its reusable Starliner spacecraft, successful in spite of an unintentional partial failure of its parachute recovery system. Three days later, Boeing revealed what it believed to be the cause of that anomaly in a November 7th press conference.

Meanwhile, SpaceX – having completed Crew Dragon’s pad abort test in 2015 – is preparing for an equally important In-Flight Abort (IFA) test and is perhaps just a day or two away from static firing the Crew Dragon capsule assigned to the test flight.

According to a NASA press release after the test, it “was designed to verify [that] each of Starliner’s systems will function not only separately, but in concert, to protect astronauts by carrying them safely away from the launch pad in the unlikely event of an emergency prior to liftoff.” Although the test wasn’t without flaws, the pad abort test successfully demonstrated the ability of the four launch abort engines and control thrusters to safely extricate astronauts from a failing rocket.

Those theoretical astronauts would have almost certainly survived the ordeal unharmed despite the failed deployment of one of Starliner’s three main parachutes, testing the spacecraft’s abort capabilities and redundancy quite a bit more thoroughly than Boeing intended. To put it bluntly, Boeing’s above tweet and PR claim that the failed deployment of 1/3 parachutes is “acceptable for the test parameters and crew safety” is an aggressive spin on a partial failure that NASA undoubtedly did not sign off on.

Boeing and SpaceX have both suffered failures while testing parachutes, leading NASA to require significantly more testing. However, in a November 7th press conference, Boeing revealed that Starliner’s parachute anomaly wasn’t the result of hardware failing unexpectedly under planned circumstances, but rather a consequence of a lack of quality assurance that failed to catch a major human error. Boeing says that a critical mechanical linkage (a pin) was improperly installed by a technician and then not verified prior to launch, causing one of Starliner’s three drogue chutes to simply detach from the spacecraft instead of deploying its respective main parachute.

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Space is Parachutes are hard

Parachutes have been a major area of concern for the Commercial Crew Program. Both SpaceX and Boeing have now suffered failures during testing and have since been required to perform a range of additional tests to verify that upgraded and improved parachutes are ready to reliably return NASA astronauts to Earth. Although the Starliner pad abort test did indeed demonstrate the ability to land the capsule safely under two main chutes, an inadvertent test of redundancy, the series of Boeing actions that lead to the failure will almost certainly be scrutinized by NASA to avoid reoccurrences.

Boeing believes that the parachute failure won’t delay the launch of Starliner’s Orbital Flight Test (OFT), currently targeting a launch no earlier than (NET) December 17th. However, it can be said with some certainty that it will delay Starliner’s crewed launch debut (CFT), at least until Boeing can prove to NASA that it has corrected the fault(s) that allowed it to happen. SpaceX is similarly working to qualify upgraded Crew Dragon parachutes for astronaut launches, although the company has thus far only suffered anomalies related to the structural failure of parachute rigging/seams/fabric.

Abort tests galore

Boeing’s Starliner pad abort test occurred just days prior to a different major abort test milestone – this time for SpaceX. SpaceX Crew Dragon capsule C205 will perform a static fire test of its upgraded SuperDraco abort system, as well as its Draco maneuvering thrusters.

SpaceX has made alterations to the SuperDraco engines to prevent a failure mode that abruptly reared its head in April 2019, when a leaky valve and faulty design resulted in a catastrophic explosion milliseconds before a SuperDraco static fire test. Prior to its near-total destruction, Crew Dragon capsule C201 was assigned to SpaceX’s In-Flight Abort test, and its loss (and the subsequent failure investigation) delayed the test’s launch by at least six months. Crew Dragon’s design has since been fixed by replacing reusable check valves with single-use burst discs, nominally preventing propellant or oxidizer leaks.

If capsule C205’s static fire testing – scheduled no earlier than November 9th – goes as planned, SpaceX may be able to launch Crew Dragon’s in-flight abort (IFA) test before the end of 2019e. Likely to be a bit of a spectacle, Crew Dragon will launch atop a flight-proven Falcon 9 booster and a second stage with a mass simulator in place of its Merlin Vacuum engine, both of which will almost certainly be destroyed when Dragon departs the rocket during peak aerodynamic pressure.

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NASA made in-flight abort tests an optional step for its Commercial Crew providers and Boeing decided to perform a pad abort only and rely on modeling and simulations to verify that Starliner’s in-flight abort safety. Assuming that NASA is happy with the results of Starliner’s pad abort and Boeing can alleviate concerns about the parachute anomaly suffered during the test, Starliner’s uncrewed orbital flight test (OFT) could launch as early as December 17th. Starliner’s crewed flight test (CFT) could occur some 3-6 months after that if all goes as planned during the OFT.

If SpaceX’s In-Flight Abort (IFA) also goes as planned and NASA is content with the results, Crew Dragon could be ready for its crewed launch debut (Demo-2) as early as February or March 2020.

Check out Teslarati’s newsletters for prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket launch and recovery processes.

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Tesla will let you bring back this removed Model 3 part for a price

It will cost $595 and is available on Tesla’s website. You will have to have a Model 3 on your Tesla account to purchase the stalk retrofit kit.

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1 hour ago

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October 8, 2025

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Credit: Tesla Asia/X

Tesla is now letting Model 3 owners in the United States bring back one part that the company decided to remove after it refreshed the all-electric sedan last year. Of course, you can do it for a price.

With the Model 3 “Highland” refresh that Tesla launched last year, one of the most monumental changes the company made was to ditch the turn signal stalk altogether. Instead, Tesla opted for turn signal buttons, which have been met with mixed reviews.

I drove the new Tesla Model 3, here’s what got better

The change was widely regarded as Tesla preparing for more autonomous driving in its vehicles, especially as its interiors have gotten even more minimalistic.

The lack of a stalk in the new Model 3 was just another move the company made to adjust drivers and passengers to seeing less at the steering wheel column.

However, many drivers did not prefer the use of buttons and wanted the stalk reinstalled. Tesla allowed it in several regions, launching a retrofit kit. It has now made its way to the United States:

It will cost $595 and is available on Tesla’s website. You will have to have a Model 3 on your Tesla account to purchase the stalk retrofit kit.

It is interesting to note that despite Tesla’s strategy to remove the stalk with the new Model 3, which was released in early 2024, the company did not choose to make the same move with the new Model Y.

The new Model Y launched in the United States in early 2025, and Tesla chose to install a stalk in this vehicle.

It seemed as if the turn signal buttons were too much of a polarizing feature, and although the company technically could have given orderers an option, it would not have been the most efficient thing for manufacturing.

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Tesla Full Self-Driving v14.1 first impressions: Robotaxi-like features arrive

Tesla Full Self-Driving v14.1 is here, and we got to experience it for ourselves.

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2 hours ago

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October 8, 2025

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Tesla rolled out its Full Self-Driving v14.1 yesterday, its first public launch of its most robust and accurate FSD iteration yet. Luckily, I was able to get my hands on it through the Early Access Program.

The major changes in FSD v14.1 were revealed in the release notes, which outline several notable improvements in areas such as driving styles, parking, and overall navigation. Here’s what Tesla outlined fully in its release notes:

  • Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
  • Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
  • Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
  • Added additional Speed Profile to further customize driving style preference.
  • Improved handling for static and dynamic gates.
  • Improved offsetting for road debris (e.g. tires, tree branches, boxes).
  • Improve handling of several scenarios including: unprotected turns, lane changes, vehicle cut-ins, and school busses.
  • Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
  • Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!

I wanted to try it for myself. My big must-dos were my complaints with v13.2.9, which included parking when arriving at a destination, Navigation when leaving a destination, and definitely a general improvement in the car traveling at an acceptable rate of speed, even when using the “Hurry” driving style.

Here’s what I noticed with the new Full Self-Driving v14.1:

Speed Profiles are More Realistic

I am driving on “Hurry” about 95% of the time when utilizing Full Self-Driving. In past versions, most notably v13.2.9, my Tesla would slowly reach the speed limit, and it would tend to hang out at about 1-2 MPH either above or below it.

My first observation with v14.1 was the vehicle’s tendency to get right up to speed and, since I was still on Hurry, drive slightly above the speed limit. It never got out of line; it traveled at speeds I would typically drive at manually.

I think this is a big improvement on its own, because I felt that I was pressing the accelerator too frequently in past FSD versions. Oftentimes, it just wasn’t going fast enough to justify the “Hurry” label; it felt more conservative and more like a student driver than anything.

Check it out:

This was among my favorite improvements, and it was the first thing I noticed as the car navigated me to the Supercharger, where my next positive is.

Navigating into parking lots, self-parking at Supercharger

One of the changes noted in the Release Notes was the addition of Arrival Options, which allows the car to select the appropriate parking situation. Since I was going to charge, the car had already chosen “Charger” as the parking option.

Pulling into a gas station or convenience store, especially during work days, can be stressful, as they are usually congested and full of foot and vehicle traffic. In past FSD versions, I have noticed the car being slightly “jumpy” and even hesitant to proceed through the lot.

Driving through parking lots was a noticeable improvement. It seems as if the car is much more confident in making its way through, while still being aware and cautious enough to safely navigate to the Supercharger.

It then backed straight into a Supercharger stall, which was recently repaired and is once again active. I was actually upset it chose this specific stall because it had been inactive for a while. However, Tesla got this stall back up and running, the car chose it, and backed into the spot flawlessly:

This was super cool to experience, and I think it is a testament to how hard the Tesla AI team has worked. CEO Elon Musk recently stated that FSD would enable automatic parking at Superchargers, which was really awesome to experience firsthand.

I decided to leave the Supercharger and go to an auto parts store to pick up some interior cleaner and some microfiber towels. I love keeping my Tesla clean!

I also thought it would be a great opportunity to see how it would react to another parking lot, how it would navigate it, and let it choose a parking spot. It did it all flawlessly:

I had zero complaints about everything here. All of it was done really well.

Making a choice after being caught in the middle of an intersection

I arrived at a tight intersection in Dallastown, PA, and what my car did next has catalyzed quite a conversation on X.

It proceeded out into the middle of the intersection as the light was green. It had to yield to oncoming traffic, and while waiting, the light turned yellow, then red.

Most people, including myself, would have turned right and proceeded through the intersection since the car was already past the line. However, FSD chose to back up and wait for the next light cycle, which I felt was also a more than acceptable option:

There are some conflicting perspectives on what it chose to do here. Some said they would have proceeded and would want FSD to also proceed. I can agree with that perspective, but I also think it is not the worst thing in the world to back up. In Pennsylvania, I couldn’t find the exact law that says what is right or wrong. Instead, I did see that a left turn on red is only feasible when you’re going from a One-Way street to another One-Way.

I’m not totally sure what is “correct” here, but I think either option is fine. I have personally done both, and I’ve seen other drivers do both. I was more than fine with the car doing this, and I was honestly impressed that it did.

Navigated a busy grocery store lot, found suitable parking

This is not the busiest my local grocery store gets, but it was still congested enough for me to be impressed.

FSD decided to do one loop in the parking lot before it found a spot that it felt was good enough for me. I was perfectly fine with where it chose to park, and I thought it did a really great job. I was impressed with how stress-free I felt, as I have noted in the past that parking lots are definitely an area where Tesla needs to improve.

I was happy with its performance:

Strange right turn signal as if it saw an emergency vehicle

This was the first bug I noticed with FSD v14.1. While traveling on a local road, it put the right turn signal on and approached the curb as if it was pulling over for an emergency vehicle or as if it was going to park on the street.

It then realized its mistake and proceeded:

I’m not super sure what caused this, but I was a tad bit confused. There were no police cars, ambulances, or anyone with flashing lights to my rear. There was a dump truck on the other side of the road, and I almost felt like the way it navigated “around” that was probably what triggered it.

Navigation is still making strange decisions

I’ve written about navigation and my discontent with some of its decisions. It seems v14.1 didn’t resolve much of anything with navigation, and it did a couple of things wrong.

The first was that it tried to take the illogical and pointless path out of the Supercharger. I wrote about this a few days ago, as FSD tried to take my car the wrong way.

It did it again, but I overrode the decision, and it was all okay:

This is a minor issue, but it is still pretty frustrating. Hopefully, the navigation will learn after performing this adjustment after enough times.

The next navigation issue was more frustrating than the Supercharger one, especially considering it completely ignored the route. The navigation had the vehicle very clearly heading straight, but out of nowhere, the right turn signal went on. I overrode it, but the car still turned right, ignoring the navigation completely:

I ended up taking over here and driving until I could get to a stop sign.

Final Thoughts

I am really impressed with all of the changes Tesla made with FSD v14.1, and while there were a handful of bugs, things were tremendously better than v13.2.9.

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Nvidia CEO Jensen Huang regrets not investing more in Elon Musk’s xAI

The CEO stated that Nvidia is already an investor in xAI, but he wished he had given the artificial intelligence startup more money.

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5 hours ago

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October 8, 2025

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Credit: Elon Musk/X

Nvidia CEO Jensen Huang revealed that one of his investment regrets is not putting more money into Elon Musk’s artificial intelligence startup, xAI. 

Speaking in a CNBC interview, Huang said Nvidia is already an investor in xAI but wished he had given the artificial intelligence startup more money. This was due to Musk’s record of building transformative companies such as Tesla and SpaceX.

A new wave of transformative AI firms

Huang said he’s very excited about xAI’s latest financing round. He described Musk’s company as part of a powerful new generation of AI developers, alongside OpenAI and Anthropic. that are reshaping the computing landscape.

“I’m super excited about the financing opportunity they’re doing. The only regret I have about xAI, we’re an investor already, is that I didn’t give him more money. You know almost everything that Elon’s pat of, you really want to be part of as well,” the Nvidia CEO stated.

The CEO also clarified Nvidia’s investment in xAI, revealing that Elon Musk had offered the investment opportunity to the chipmaker. “He (Musk) gave us the opportunity to invest in xAI. I’m just delighted by that,” Huang stated.

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AI investment boom

Huang contrasted today’s AI-driven economy with the early days of the internet. “Back then, all the internet companies combined were maybe $30 or $40 billion in size,” he said. “If you look at the hyperscalers now, that’s about $2.5 trillion of business already operating today.”

He also stated that the ongoing shift from CPU-based computing to GPU-powered generative AI represents a “multi-trillion-dollar buildout” that Nvidia is looking to support. Huang added that every Nvidia engineer now works with AI coding assistants such as Cursor, which he called his “favorite enterprise AI service,” and it has led to a major productivity boost across the company.

Watch Nvidia CEO Jensen Huang’s CNBC interview in the video below.

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