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Startup fined $900k for launching illegal satellites, points to future space law challenges

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Swarm Technologies, Inc., a satellite startup aiming to create the world’s lowest-cost satellite network, has been fined $900,000 by the U.S. Federal Communications Commission (FCC) for illegally launching and deploying four unauthorized satellites into orbit in January 2018 on a commercial Indian satellite launch vehicle. The satellites in question were Swarm’s SpaceBEE vehicles, which measure one quarter the size of a traditional CubeSat, a class of small satellites measuring 10 cm in height, width, and depth. In December 2017, the FCC deemed the SpaceBEE size too small for the U.S. Air Force’s traditional technology to track with routine methods and declined a license, but the satellites were placed into orbit regardless. With satellite and rocket launch startups proliferating as space access becomes more affordable, the debate over ensuring safety in this international arena is likely expand.

Swarm requested an experimental license from the FCC in April 2017, a first step for any satellite operator to ensure compliance with current international space laws, and their plan was to launch in September 2017, although that date was later delayed. Spaceflight Industries was next hired to connect Swarm with a launch provider and ensure its integration with the rest of the rocket’s payload. After the FCC declined the license in December 2017, Swarm applied for a new license in January 2018 for satellites meeting CubeSat specifications, but the original SpaceBEEs were already loaded onto the contracted Indian Polar Satellite Launch Vehicle (PSLV) and subsequently launched on January 12, 2018.

When news of the SpaceBEE deployment broke, concerns over regulatory backlash spread throughout the satellite community. The FCC issued an Enforcement Advisory on April 12, 2018 warning about consequences for communications companies failing to comply with licensing requirements, including a note to launch providers on how launch activities may be impacted if an unauthorized satellite payload needs to be removed. In a decision released December 20, 2018, Swarm Technologies was ordered to pay the fine and implement a five-year compliance plan.

A depiction of Swarm’s SpaceBEE satellites, from their FCC license application. | Credit: Swarm Technologies/FCC

Since the very first satellite was successfully launched by the Soviet Union on October 4, 1957, activities in space have been largely conducted by national governments and companies affiliated with them. However, the new space era is quickly changing that environment, rapidly opening up the beyond-Earth domain to private citizens. Billionaires like Elon Musk of Tesla and SpaceX, Jeff Bezos of Amazon and Blue Origin, and Richard Branson of Virgin and Virgin Galactic have mostly been the face of private/commercial space industry in recent years, but the technologies they’ve developed are also ushering in a new wave of affordable access to space, and with it, new technologies that don’t fit the traditional mold of “old space”.

The legal foundation for current space laws is the 1967 Treaty on Principles Governing the Activities of States in the Exploration and Use of Outer Space, including the Moon and Other Celestial Bodies, i.e., the “Outer Space Treaty”. Under this Treaty and subsequent treaties and laws arising from it, states, or nations, rather, are responsible for any space activities conducted by their own nationals, meaning a regulatory process that must be enforced. Where access to space was once expensive and difficult, the significantly lowered threshold has brought in a field full of players ready to take their shot at participating in the coming space economy and maybe, as seen with Swarm Technologies, even take a few risks to get there.

While the illegal launch of Swarm’s satellites was caught rather quickly (first by the community of amateur space trackers) and action was taken to penalize it, what’s to stop nations in the future from lowering standards to attract private customers? As stated in the FCC’s Enforcement Advisory, “Satellites authorized by an administration other than the United States do not require any FCC approval if Earth station operations are exclusively outside the United States.” Pressure from the international community to comply with treaties will only work to the extent that 1) the penalties deter the profit potential from the industry; 2) the international community agrees the activity is actually unsafe; and 3) the resistance to reforming regulations to permit the activity in question is deemed justified. Innovation, especially out of Silicon Valley, has a history of breaking rules to bring about significant change; however, some would argue that space isn’t the place for that approach.

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The thrice-flown, Falcon 9 Block 5 rocket that put Swarm’s recent 3 satellites in orbit (all FCC approved): SpaceBEE-5, 6, and 7. | Credit: Pauline Acalin

The problem seems to be a simple matter of ethics: Don’t launch things into space that aren’t safe for Earth’s occupants. But according to the FCC, Swarm’s proposed satellites were merely “below the size threshold at which detection by the Space Surveillance Network (SSN) can be considered routine.” The licensing issue seemed to generally only be safety-related because of the satellites’ irregularity, not from the lack of actual tracking capability, something that is only going to increase as more players enter the new space arena.

Another point worth consideration is that Swarm’s SpaceBEE satellites are actually trackable using the same SSN network the FCC cited in its rejection of Swarm’s license request, and live tracking is ongoing via an independent tracking service called LeoLabs. According to Dr. Sara Spangelo, one of the co-founders of Swarm Technologies, the satellites are equipped with radar retro-reflector technology, something developed by a US-Navy research and development lab, which makes their radar signature as bright as a CubeSat. The FCC has also granted the company a temporary experimental authorization to test the previously-illegal satellites’ orbital and tracking data. Thus, the question for the future is not so much whether the safety concerns are valid, but whether preventative rules will be waived where newer technology can demonstrate their compliance outside traditional standards.

Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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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.

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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.

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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.

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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:

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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.

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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.

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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.

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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.

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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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Investor's Corner

Stifel raises Tesla price target by 9.8% over FSD, Robotaxi advancements

Stifel also maintained a “Buy” rating for the electric vehicle maker.

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Credit: Tesla China

Investment firm Stifel has raised its price target for Tesla (NASDAQ:TSLA) shares to $483 from $440 over increased confidence in the company’s self-driving and Robotaxi programs. The new price target suggests an 11.5% upside from Tesla’s closing price on Tuesday.

Stifel also maintained a “Buy” rating despite acknowledging that Tesla’s timeline for fully unsupervised driving may be ambitious.

Building confidence

In a note to clients, Stifel stated that it believes “Tesla is making progress with modest advancements in its Robotaxi network and FSD,” as noted in a report from Investing.com. The firm expects unsupervised FSD to become available for personal use in the U.S. by the end of 2025, with a wider ride-hailing rollout potentially covering half of the U.S. population by year-end.

Stifel also noted that Tesla’s Robotaxi fleet could expand from “tiny to gigantic” within a short time frame, possibly making a material financial impact to the company by late 2026. The firm views Tesla’s vision-based approach to autonomy as central to this long-term growth, suggesting that continued advancements could unlock new revenue streams across both consumer and mobility sectors.

https://twitter.com/AIStockSavvy/status/1975893527344345556

Tesla’s FSD goals still ambitious

While Stifel’s tone remains optimistic, the firm’s analysts acknowledged that Tesla’s aggressive autonomy timeline may face execution challenges. The note described the 2025 unsupervised FSD target as “a stretch,” though still achievable in the medium term.

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“We believe Tesla is making progress with modest advancements in its Robotaxi network and FSD. The company has high expectations for its camera-based approach including; 1) Unsupervised FSD to be available for personal use in the United States by year-end 2025, which appears to be a stretch but seems more likely in the medium term; 2) that it will ‘probably have ride hailing in probably half of the populations of the U.S. by the end of the year’,” the firm noted.

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