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SpaceX aces 60th orbital launch of 2022

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SpaceX has completed its 60th orbital launch of 2022, marking the first time the company has fully hit a public cadence target set by one of its executives.

By every possible measure, 2022 has been a groundbreaking year for SpaceX even when considering the vast list of achievements it’s racked up over the last half-decade. It owns and operates the largest satellite constellation in history by an order of magnitude. Its Starlink satellite internet service has secured more than a million subscribers less than two years after entering beta. It operates the only routinely reusable orbital-class rockets and orbital spacecraft currently in service. Its Falcon 9 workhorse has launched more in one year than any other single rocket in history. It’s regularly launching at a pace that hasn’t been sustained by any one country – let alone a single company – in 40 years. It’s managing that near-historic cadence while simultaneously recovering and reusing boosters and fairings that represent some 70% of the value of almost every rocket it launches.

And now, SpaceX can also proudly show that it was able to hit a launch cadence target that seemed impossibly ambitious when CEO Elon Musk first shared it nine months ago.

Exactly nine months later, SpaceX has just completed its 60th launch of 2022. 69 days after its last orbital-class launch, Falcon 9 booster lifted off for the 11th time with a somewhat mysterious batch of 54 Starlink satellites. A bit less than nine minutes after liftoff, B1062 touched down 660 kilometers (410 mi) downrange on SpaceX drone ship A Shortfall Of Gravitas (ASOG). Seconds prior, Falcon 9’s expendable upper stage reached orbit, shut down its lone Merlin Vacuum engine, and began slowly spinning itself end over end.

Nineteen minutes after leaving the ground, the stack of 54 Starlink satellites was released all at once, slowly spreading out like a splayed deck of cards. Over the coming hours, days, and weeks, those satellites will naturally spread out, deploy solar arrays, stabilize their attitudes, test their payloads, and begin climbing toward an operational orbit somewhere between 480 and 580 kilometers (300-360 mi) above Earth’s surface.

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As previously discussed, SpaceX’s so-called “Starlink 5-1” mission raises a number of questions that the company’s launch webcast and communications unfortunately failed to answer. First and foremost, the “5-1” name is nonsensical. The only information SpaceX did disclose about the mission is that it’s the “first [launch] of Starlink’s upgraded network…under [a] new license,” implying – but not actually confirming – that “Starlink 5-1” is the first launch for the Starlink Gen2 constellation.

The orbit the launch targeted only matches one of the Gen2 ‘shells’ the US Federal Communications Commission (FCC) recently approved. Using a naming scheme that’s been consistent for a year and a half, “5-1” implies that the mission is the first launch of Starlink Gen1’s fifth ‘shell’ or group, which the orbit it was actually launched to explicitly makes impossible. It’s very odd that SpaceX did not explicitly call the mission what it actually is: the first launch of an entirely new Starlink Gen2 constellation. The name ultimately doesn’t matter much, but is now likely to create confusion given that SpaceX’s Starlink Gen1 constellation has a fifth shell that may begin launches in the near future.

Additionally, outside of a single obscure FCC filing submitted two months ago, it’s long been stated and implied that the Starlink Gen2 constellation’s main advantage over Gen1 was the much larger size of the Gen2/V2 satellites. But the satellites launched on “Starlink 5-1” appear to be virtually identical to all recent Starlink V1.5 satellites, which CEO Elon Musk once suggested were so cost-inefficient that they could risk bankrupting SpaceX in November 2021.

A limited view of Starlink 3-4 and “5-1” satellites suggests they are virtually identical. (SpaceX)

There is one obvious explanation for why SpaceX would launch ordinary Starlink V1.5 satellites in place of the larger V2 variants that will supposedly make the internet constellation more financially sustainable: a desire to add new customers as quickly as possible, no matter the relative cost. While a much smaller V1.5 satellite likely offers around 3-8 times less usable bandwidth than one of the larger V2 variants SpaceX is developing, it may still be true that a V1.5 satellite is better than nothing while larger V2 satellites are stuck behind development delays or waiting on SpaceX’s next-generation Starship rocket.

SpaceX will almost certainly want to replace any V1.5 satellites with V2 satellites when the opportunity arises, but in the meantime, V1.5 satellites launched as part of the Gen2 constellation may technically allow SpaceX to temporarily double the amount of bandwidth available where most people (and Starlink customers) live. Ultimately, that means that it makes a lot of sense for SpaceX to prioritize Gen2 launches. It doesn’t appear that SpaceX will go that far, but the Starlink Gen1 constellation is so far along that the company could easily leave the constellation as-is and prioritize Gen2 Falcon 9 launches for all of 2023 without risking an FCC penalty. SpaceX simply needs to finish its Gen1 constellation before April 2027 to avoid breaking those rules.

Instead, it looks like SpaceX will roughly split its launch and V1.5 satellite manufacturing capacity between Starlink Gen1 and Gen2 moving forward. That will let SpaceX significantly expand bandwidth where most customers live while also finishing the polar-orbiting Gen1 shells that will let the older constellation better serve maritime and aviation subscribers, and reach Starlink’s most remote customers.

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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 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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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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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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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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