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Same here. Also Factorio AFAIK has no good copilot. Sadly the best LLMs are not fine-tuned on Factorio so my productivity takes a massive hit when moving from side projects to Factorio.



Perhaps you should be concerned if your productivity is so low when you don't have an AI crutch doing the work for you.


Trust me when I play minecraft, the moment I realize I don't have inventory sorting installed I quit the game.


Are there any popular games with copilot like AI suggestions being part of the core gameplay?


Also, are there video games with ML-powered opponents or NPCs that'll act more like humans instead of the old-fashioned decision tree AIs? Seems about time. I know there are research projects that tried this for things like Starcraft 2.

Also saw Facebook's experimental Diplomacy AI. Wish that were usable the time we lost a player.


There are some LLM-powered services that claim to be copilot for games.

From what I can tell, it seems like generally they're doing RAG over the game's wiki, and then reading it to you in an attractive-lady voice.


I can't tell if you're being serious or not here lol


where is our hacker news copilot when we need it?


Lol. My parser failed at this step, so I had to look it up:

https://en.wikipedia.org/wiki/Garden-path_sentence


I'm looking over the sentences in the comment you replied to and I can't figure out where you would have gotten lost, can you quote the partial sentence that confused you?


It starts out as a typical programmer rant these days about AI assistants and LLM fine tuning and then goes on to complain how sadly, they don't work for this game yet. So he's forced to play it manually. How old fashioned.

I find that pretty amusing.


Oh well if you thought someone was going to say they dislike LLMs failures so they want fewer LLMs, and instead they say they dislike LLM failures so they want LLMs to be trained more, that's not a garden path. You don't have to back up and re-process the previous words. And in particular a garden path sentence does it grammatically. You suddenly realize you were getting parts of speech wrong.


Note that the original sentence also gave me pause.

It's perhaps too long, overflows the parser stack.


Thanks for the feedback if you are talking about me ;). I frequently get suggested to put more punctuation...


Yeah. It was parsable, but took a second reading.


By original do you mean Xeronate's sentence? I agree but that's not the comment that was talking about LLMs.




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