As of about a month ago there’s https://github.com/soapantelope/mindcraft. You can give it a prompt like “A Minecraft world of beautiful flower-filled meadows abruptly changing into swamps.” and get that. As far as I can tell it’s using Minecraft’s existing world generator, the readme notes “As of now, Mindcraft can only generate worlds that are feasible natural overworld biomes in Minecraft 1.21.11. Keep this in mind when thinking of prompts!”.
And I’ve seen people hook up LLMs more directly with some scripting tools to place blocks/spawn entities, they do okay.
There's a couple "AI forecaster" companies now, Preseen and FutureSearch. My understanding is you give them a query and they research every possible relevant factor and give an estimate of the likelihood of your query, and supposedly they're comparable to if you asked a human to do the same thing, but they're new enough that they're not really proven yet.
It’s entirely possible that Mojang has a blog somewhere with more detail, or maybe a dev tweeted something, that would be the type of useful info that could exist that someone more familiar with Mojang might know.
To clarify, I object that any of these things matter much for general outcomes. If the article had immediately supported these claims, maybe I'd be more accepting, but as is it appears I'm supposed to have taken it as a given.
That is a point that could be made in the essay! I don't think it's a given, but it's treated as one. My experience is that children who are ESL assimilate pretty heavily.
It's trying not to be that, but it still reads like that to me. The deliberate non-naming of heresies but specific callout that "heretic-hunting" is coming mostly from the left naturally leads to that conclusion.
Sure, it's just such an odd bundle of claims that were not fully interrogated in the essay. 1. That these things have changed from "small minority" to "significant minority" in public school populations, 2. they haven't changed similarly in private school populations 3. these things increasing are bad and undesirable for you and your child, and 4. there are not cheaper ways to fix this than sending your child to public school (the obvious point to me is if you don't like that there's a significant ESL population, or your community, move somewhere else!).
>For example: an American family in 1975 could send their children to public school on the assumption that the vast majority of other children would belong to intact families, communities like their own, and would speak English as a first language. Now, realistically, many parents must turn to private schooling for the same reassurances.
It was hard to take the rest of the article seriously after reading this.
The slime art is nice. I watched it for a long time. It's neat how you can open any frame up as an image. The controls in the description didn't work though.
I read his contention as “the people who wrote AI 2040 are nerds who are so ungrounded from physical reality they wouldn’t even know how to change a bike tire if given instructions”. Which I think is also wrong but has a genuine criticism in it.
Hm, I think there’s more to it than that. It is often the case that someone will do something and regret it without having necessarily gained any new information, which is in a sense irrational, right? If you didn’t gain information, you could have known to just not done it to begin with. Something about experiences, perhaps?
Yeah, I'm interested too. My guess for the reason, if not purely to eke out more performance, is so they can cleanly gather real-world data on this kind of usage.
Rolling average including vacant months as $0? And if that isn't smooth enough, add some smoothing factor, count vacant months as 10% of the last paid value, or maybe the first vacant month as 50% with further months decaying. Or some other fancy accounting that makes more sense than the current method.
And I’ve seen people hook up LLMs more directly with some scripting tools to place blocks/spawn entities, they do okay.