This is a really fun problem! I suggest anyone who likes optimization in a very broad sense to try their hand at it. Might be the most fun I've had while interviewing. I had to spend a week-worth of evenings on it to fully scratch the itch, and I managed to get 1112 cycles. But that was mostly manual, before the current crop of agentic models (clopus 4.5, gpt5.2). I wonder how far you can RalphWiggum it!
> MTG-S1 is the first geostationary meteorological sounder satellite to fly over Europe
I was confused for a minute on how it's both _geostationary_ and _over Europe_ -- you can't be geostationary if your orbit is not over the equator!
Turns out[1] the MTG-S1 satellite is in fact geostationary and parked at exactly 0°00'00"N 0°00'00"E (off the coast of Ghana), 42164 km up from the center of Earth, it's just pointing at Europe at an angle.
Tbh it still puzzles me why gameplay degradation specifically was chosen as a way to try to discourage piracy. I imagine many more people hit the degradations, thought the game was just buggy and abandoned it, compared to people who were motivated by bad gameplay to give the developers money.
The mindfuck angle is pretty effective though. This article wouldn't have been written otherwise.
That's where I am too right now for personal projects, and I ended up reimplementing parts of Dokuploy for that, but I don't feel much of a need to move from "fun little docker compose" for some reason
That's a great point! I'd agree that just the extra emotional motivation from having your own thing is worth a ton. I get some distance down that way by having a large RAM no GPU box, so that things are slow but at least possible for random small one offs.
I was thinking of doing something similar, but I am a bit sceptical about how the economics on this works out. On vast.ai renting a 3x3090 rig is $0.6/hour. The electricity price of operating this in e.g. Germany is somewhere about $0.05/hour. If the OP paid 1700 EUR for the cards, the breakeven point would be around (haha) 3090 hours in, or ~128 days, assuming non-stop usage. It's probably cool to do that if you have a specific goal in mind, but to tinker around with LLMs and for unfocused exploration I'd advise folks to just rent.
The third effort is referred to sometimes as AI not-kill-everyone-ism, a tacky and unwieldy term that is unlikely to be co-opted or lead to the unproductive discussion like around the OP article.
It is pretty sad to read people bash together the efforts to understand and control the technology better and the companies doing their usual profit maximization.
More effort spent on early commercialization like keeping ChatGPT running might mean less effort on cutting edge capabilities. Altman was never an AI safety person, so my personal hope is that Anthropic avoids this by having higher quality leadership.
If there's a lot of smoke coming, people are running out of the building and you can see an ominous red glow in the windows, shouting "FIRE" is the right thing to do even if we are not going to be engulfed in flames this very second or the next. The potential costs given the evidence we all have are simply not comparable.
Bonus question on O-1: what do you think are the easiest boxes to check for a talented professionals in AI? High salary and critical capacity for established organizations are a given, but what else?
What are the tools people use to draw diagrams? I've tried many things and settled on Miro on an iPad (infinite canvas + pencil), but I still think this space is underinvested in.
The downside of diagrams from code is the loss of the wysiwyg aspect -- I want to be able to manipulate things visually.
>It was quite popular for a surprisingly long time.
Hah, that's a blast from the past. One reason it lasted as long as it did was the Knights of the Button, users who collaborated to keep it alive. I implemented the Zombie-presser, 1k+ donated accounts automatically pressing the button when no one else would. We kept it alive for a more then a month before the most embarrassing bug of my career finally killed it :D Good summary here [1].