Is there a single case of the scammer getting a single dollar from one of these scams? My suspicion is that there isn't. (Everyone who doesn't know the answer and isn't curious should downvote me.)
I think people underestimate how quickly heat radiates to space. A rock in orbit around Earth will experience 250F/125C on the side facing the Sun, and -173C/-280F on the other side. The ability to rotate an insulating shield toward the sun means you're always radiating.
I think you may be overestimating how quickly this happens and underestimating how much surface area that rock has. Given no atmosphere, the fact that the rock with 1/4 the radius of Earth has a temperature differential of only 300C between the hot side and the cold side, there's not a lot of radiation happening.
In deep space (no incident power) you need roughly 2000 sq meters of surface area per megawatt if you want to keep it at 40C. That would mean your 100 MW deep space datacenter (a small datacenter by AI standards) needs 200000 sq meters of surface area to dissipate your heat. That is a flat panel that has a side length of 300 meters (you radiate on both sides).
Unfortunately, you also need to get that power from the sun, and that will take a square with a 500 meter side length. That solar panel is only about 30% efficient, so it needs a heatsink for the 70% of incident power that becomes heat. That heatsink is another radiator. It turns out, we need to radiate a total of ~350 MW of heat to compute with 100 MW, giving a total heatsink side length of a bit under 600 meters.
All in, separate from the computers and assuming no losses from there, you need a 500x500 meter solar panel and a 600x600 meter radiator just for power and heat management on a relatively small compute cluster.
This sounds small compared to things built on Earth, but it's huge compared to anything that has been sent to space before. The ISS is about 100 meters across and about 30 meters wide for comparison.
Second, are you saying that we basically need to have a radiator as big (approximately) as the solar panels?
That is a lot, but it does sound manageable, in the sense that it approximately doubles what we require anyway for power.
So, not saying that it’s easy or feasible, but saying that cooling then seems “just” as difficult as power, not insurmountably more difficult. (Note that the article lists cooling, radiation, latency, and launch costs as known hard problems, but not power.)
What do you think about droplet radiators? E.g. using a ferrofluid with magnetic containment for capture and enough spare on board to last five years of loss due to occasional splashes?
Yeah I wonder if this entire "scam" is a scammer's urban legend, where one scammer brags that they successfully executed it and all the rest try it a few times and eventually give up. Sort of like the search for pirate gold.
But if you do nothing, it enables people in countries that DO extradite and cooperate to get in on the fun, too. I guess that's just being nice to our allies.
I think that X was the big web dev community, and as soon as it was taken over by rocket man, people scattered to the wind. I think most, however, didn't actually go anywhere and just decided to be less social.
If you're going to chart-gaze, you need to have a healthy skepticism about the chart itself - is what it's measuring still meaningful? Every chart is an isolation of variables in an ocean of variables. The shark attack / ice cream sales chart will mysteriously stop working when everyone is on Ozempic and stops craving icecream! Likewise, there's a very real possibility that "inverted yield curve means recession imminent" logic only works during a particular era of USA dominance in the world, which we have thoroughly left behind. Food for thought, I hope.
Way too niche, and hard to get right (if there's a gap and some radio waves escape, you just transferred megabytes!). Plus it requires a metal front flap to really work.
Okay, I will admit I didn't read all of your post but the title resonates with something I struggle with. I have thousands of bookmarks and things I want to follow up on, but retrieving these and digging into them is effort, so they just sit there... things I was interested in, but don't have time to properly investigate.
If someone could make an AI tool that takes all of my bookmarks and surfaces one or two insights from them to me per day, I.E., "hey you bookmarked the wikipedia page for this movie director, did you know one of his movies was just added to netflix?" or "Hey, you bookmarked the Kotlin website, want to try making a Kotlin project? Here are some app recommendations based on your other bookmarks..."
Totally get this — bookmarks are “future curiosity”, but retrieval has real friction, so they quietly rot.
The “1–2 insights per day” idea is exactly the shape that feels sane to me: pull-based, low volume, and designed to create momentum rather than dump more content. I also like your examples because they’re not just summaries — they’re context + a suggested next step.
If you were to try something like this, which would you want it optimized for:
1. novelty (interesting facts / “did you know”)
2. action (a small project/task you can do in 15–30 minutes)
3. relevance to what you’re doing this week
Details in my HN profile/bio if you want the direction I’m validating.
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