abra0

Finally! I had to set up a container with X on my headless server to get a few text files reliably synced, crazy stuff.

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!

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.

The real question is whether these side-effects are going to be worse than 20 years of not taking it.

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.

Well if you are not using a rented machine during a period of time, you should release it.

Agreed on reliability and data transfer, that's a good point.

Out of curiosity, what do you use a 2x3090 rig for? Bulk not time-sensitive inference on down quanted models?

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.