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Tesla Roadster and ‘friends’ make history in newly-published log of 57k+ human objects in space
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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- Data from GCAT (J. McDowell, planet4589.org/space/gcat)
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- Data from GCAT (J. McDowell, planet4589.org/space/gcat)
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- Data from GCAT (J. McDowell, planet4589.org/space/gcat)
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- Data from GCAT (J. McDowell, planet4589.org/space/gcat)
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.
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- Data from GCAT (J. McDowell, planet4589.org/space/gcat)
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- Data from GCAT (J. McDowell, planet4589.org/space/gcat)
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- Data from GCAT (J. McDowell, planet4589.org/space/gcat)
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.
“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.
Elon Musk
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.
Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.
🚨 Our LIVE updates on the Tesla Earnings Call will take place here in a thread 🧵
Follow along below: pic.twitter.com/hzJeBitzJU
— TESLARATI (@Teslarati) April 22, 2026
The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.
The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.
For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
