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Tesla Roadster and ‘friends’ make history in newly-published log of 57k+ human objects in space

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When the Tesla Roadster and its Starman occupant entered space aboard Falcon Heavy’s maiden voyage in 2018, it joined the ranks of one astronomer’s impressive database of human-made objects that have left Earth: The General Catalog of Artificial Space Objects (GCAT). It’s the most comprehensive collection of space object data available to the public, and its author recently published it in full for open-source use.

Jonathan McDowell, currently with the Harvard-Smithsonian Center for Astrophysics, created GCAT as an endeavor that began about 40 years go during his Apollo-inspired childhood.

“It was hard for me growing up in England to get details about space because the media there weren’t as interested in it as the U.S. media, so in a slightly obsessive way I started making a list of rocket launches… Now I have the best list,” McDowell told VICE in recently published comments. Lack of information in his younger days seems to have only been the beginning of the challenges the astronomer was willing to take on for his project. As detailed to VICE, McDowell also traveled to international space agency locations to obtain their old rocket lists and even learned Russian to translate that country’s space object data.

Although McDowell has been collecting his Catalog data for decades, the push to finally put all of his work online was inspired by more recent events. The risks of COVID-19 and “imminent death” threatened the database’s purpose. “There’s no point if it dies with me,” he told VICE. Publishing the GCAT had been in his plans, however, the pandemic pushed its priority to the top of McDowell’s personal bucket list.

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So, what exactly might one use the GCAT for? McDowell had his own suggestions, including the determination of how many working satellites are currently in space. Since the data is easy to export into software that allows sorting of tab-delimited files, one could perhaps also look at the amount of debris produced over the years to get a general picture for how active spaceflight operations were in the past or how they may be progressing. Plenty of information about each object’s origin and owner is included for this kind of research.

One of the GCAT data sets tracks failed objects that would have otherwise made it to orbit. As an example, looking at the number of items from failed launch attempts in 1958 (52) gives a hint as to how intense the space race between the US and the Soviet Union was at the time. Data browsing could be used for general historical inquiry as well. For instance, Sputnik 1, launched by the Soviet Union on October 4, 1957, is object 00001; the Eagle lander still on the Moon from Apollo 11’s mission is object #04041; and the Tesla Roadster is object #43205.

Some of the data can inspire more historical awareness such as the listing of tools lost during on-orbit construction of the Soviets’ Mir Space Station in 1986. Of course, reminders of significant spaceflight misfortunes are also included like the Challenger Space Shuttle explosion in 1986 and SpaceX’s CRS-7 ISS resupply mission failure in 2015.

Since GCAT is inclusive of both functional items and notorious bits of space junk logged from decades of data digging, the Tesla Roadster and its 57,000+ “friends” are poised to help with some serious research now and in the far future.

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“My audience is the historian 1,000 years from now,” McDowell explained. “I’m imagining that 1,000 years from now there will be more people living off Earth than on, and that they will look back to this moment in history as critically important.” For fans of Star Trek, this type of record keeping certainly seems to be relevant to future humans more often than not (away mission, anyone?). Perhaps that type of science fiction storyline will transpire into reality, just as so many of SpaceX’s achievements have done already.

Interestingly enough, McDowell is working on another project to track deep space objects beyond Earth’s orbit. Will space debris take center stage around Mars and beyond like it does around our own planet? Seeing the progress in one comprehensive database will certainly be an interesting way to show just how far humans have come since object #00001.

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 shows stunning maneuver in Europe to silence skeptics

In a striking demonstration of autonomous driving prowess, Tesla’s Full Self-Driving (FSD) system recently showcased its capabilities on the narrow rural roads of the Netherlands. Captured in two in-car videos, the system encountered scenarios that would challenge even the most experienced human drivers.

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Credit: Tesla

Tesla Full Self-Driving, fresh on the heels of its approval for operation on European roads for the first time, showed off a stunning maneuver that will certainly silence any skeptics on the continent.

Fresh off its approval in the Netherlands, Full Self-Driving is working toward a significant expansion into more parts of Europe.

In a striking demonstration of autonomous driving prowess, Tesla’s Full Self-Driving (FSD) system recently showcased its capabilities on the narrow rural roads of the Netherlands. Captured in two in-car videos, the system encountered scenarios that would challenge even the most experienced human drivers.

In the first clip, a wide tractor occupied more than half the lane on a tight two-way road. Rather than braking abruptly or forcing a collision risk, FSD smoothly edged the vehicle onto the adjacent bike path—using the extra space with precision—before seamlessly returning to the lane once clear.

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The second clip was equally demanding: while overtaking a group of cyclists, an oncoming car approached at speed.

FSD maintained a safe, minimal buffer to the cyclists while timing the pass perfectly, avoiding any swerve or hesitation that could unsettle passengers or other road users.

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This maneuver highlights FSD’s advanced spatial reasoning and predictive planning. On roads often under three meters wide, with no room for error, the system calculated available clearance in real time, incorporated shoulder and path geometry, and executed a controlled deviation without compromising safety.

It treated the bike path as a legitimate extension of navigable space, something many drivers might hesitate to do, while respecting Dutch road norms and cyclist priority.

Such feats align closely with a growing library of impressive FSD maneuvers documented on camera worldwide.

In urban Amsterdam, for instance, FSD has navigated the world’s densest cyclist environments, weaving through hundreds of unpredictable bike movements on canal-side streets with tram tracks and pedestrians.

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One uncut drive showed it yielding smoothly at crossings, overtaking where needed, and even handling a near-perfect auto-park in a tight residential spot, demonstrating the same low-speed precision seen in the rural clips.

Teslas using FSD have tackled turbo roundabouts in the Netherlands, complex multi-lane circles notorious for geometry challenges, merging confidently while yielding to traffic. Similar clips depict smooth handling of construction zones, emergency vehicle pull-overs, and gated parking barriers, where the car stops precisely, waits for clearance, and proceeds without driver input.

Collectively, these examples illustrate FSD’s evolution toward handling the unpredictable.

The rural Netherlands maneuvers aren’t isolated. Instead, they reflect a pattern of spatial awareness, cyclist deference, and traffic anticipation seen from city streets to highways.

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As FSD continues refining through real-world data, videos like this one are certainly building a compelling case for its readiness on Europe’s varied roads.

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Tesla utilizes its ‘Rave Cave’ for new awesome safety feature

Part of the massive interior overhaul of both the Model 3 “Highland” and Model Y “Juniper” was the addition of interior accent lighting to help bring out the mood of the vehicle, increase the customization of the interior, and to create a unique listening experience.

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Credit: Tesla | X

Tesla is utilizing its ‘Rave Cave’ for an awesome new safety feature that will arrive with the upcoming Spring Update for 2026.

Part of the massive interior overhaul of both the Model 3 “Highland” and Model Y “Juniper” was the addition of interior accent lighting to help bring out the mood of the vehicle, increase the customization of the interior, and to create a unique listening experience.

Tesla added a Sync Lights feature that will strobe the accent strips with the beat of the music.

It is one of the most unique and one of the coolest non-functional features of a Tesla, as it does not improve the driving of the vehicle, but makes it a cool and personal addition to the interior.

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However, Tesla is going to take it one step further, as the Rave Cave lights will now be used for blind spot recognition. This feature will be added as the Spring 2026 Update starts to roll out.

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Tesla writes:

“Accent lights now turn red when an object is in your blind spot and your turn signal is engaged, or when an approaching object is detected while parked.”

This neat new safety feature will now increase the likelihood of a driver, who is operating their Tesla manually, of seeing the blind spot warnings that are currently available on the A pillar and on the center touchscreen.

These new alerts will now warn drivers of cross traffic as they back out of a parking space with little to no visibility of what is coming. It is a great new addition that will only increase the safety of the vehicles, while also utilizing something that is already installed in these specific Model 3 and Model Y units.

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The Model 3 and Model Y were the central focus of the Spring 2026 Update, especially considering the fact that the Model S and Model X are basically gone, with only a few hundred units left. Additionally, Tesla included new Immersive Sound and Car Visualization for the Model 3 and Model Y specifically in this new update.

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Tesla parked 50+ Cybercabs outside its Texas Factory with some crash tested

Dozens of Tesla Cybercabs have been spotted at Giga Texas crash testing facility ahead of launch.

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Tesla Cybercab fleet spotted at Gigafactory Texas [Credit: Joe Tegtmeyer)
Tesla Cybercab fleet spotted at Gigafactory Texas on April 13, 2026 [Credit: Joe Tegtmeyer)

Drone footage captured by longtime Giga Texas observer Joe Tegtmeyer shows over 50 units of Tesla Cybercab at the Austin factory campus, including several units clustered by Tesla’s on-site crash testing facility.

The outbound lot at Gigafactory Texas sits just outside the factory exit and serves as the primary staging area where finished vehicles are held before being loaded onto transport carriers or dispatched for validation testing. On any given day, the lot holds a mix of Model Y and Cybertruck units alongside the growing Tesla Cybercab fleet, as can be seen in the drone footage captured by Joe Tegtmeyer.

Tesla Cybercab fleet spotted at Gigafactory Texas [Credit: Joe Tegtmeyer)

Tesla Cybercab fleet spotted at Gigafactory Texas on April 13, 2026 [Credit: Joe Tegtmeyer)

Roughly 50 Cybercab units are visible across the campus, parked in tight organized rows. Most of the units visible still carry steering wheels and pedals, temporary additions Tesla included to satisfy current safety regulations while the vehicles accumulate real-world data ahead of full regulatory approval for a steering wheel-free design.

Tesla Cybercab fleet spotted at Gigafactory Texas [Credit: Joe Tegtmeyer)

Tesla Cybercab fleet spotted at Gigafactory Texas [Credit: Joe Tegtmeyer)

Tesla operates dedicated Crash Labs at both its Giga Texas and Fremont facilities that are purpose-built for controlled structural crash tests. Historically, automakers begin intensive crash testing roughly one to two months before volume production kicks off. The Cybertruck followed almost exactly that pattern. The Cybercab appears to be on the same track facility that we first saw back in October 2025.

Tesla Cybercab crash test units spotted at Gigafactory Texas [Credit: Joe Tegtmeyer)

Tesla Cybercab crash test units spotted at Gigafactory Texas [Credit: Joe Tegtmeyer)

The first production Cybercab rolled off the Giga Texas line on February 17, 2026. Volume production is now targeted for April. Musk previously wrote on X that “the early production rate will be agonizingly slow, but eventually end up being insanely fast,” and separately stated Tesla is targeting at least 2 million Cybercab units per year. Commercial robotaxi service in Austin is targeted for late 2026.

 

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