The concepts of AI have been around a long time and weren’t really any different back then. Even the fundamental technology that current AI is built on has mostly been around since like the 70s, its just the amount of data that can be used to train them is staggeringly larger, which has lead to the recent breakthroughs in capability.
It’s not written like typical sci-fi, it’s more like an art house (for lack of a better term) novel that happens to have a sci-fi setting. William Burroughs was a major influence on his writing and Neuromancer is perhaps the most obvious example of that.
It rewards re-reading immensely, I would advise to just go with the flow and don’t sweat the bits you can’t quite grasp, a lot of it makes more sense over time or clicks when you re-read it. It is incredibly worth it, imo, an absolute masterpiece of literary talent and prescient speculative fiction.
Having said that, if that style isn’t really your thing and you prefer more straight-forward sci-fi, then you will probably not dig it.
edit: After posting this comment I re-loaded my feed and there’s a post about William Burroughs directly above this one. Bill would be pleased.
I don’t think there’s really any need to put the difficulty rating on them at all.
Female Bender [not hard].
deleted by creator
I’ve been a programmer for decades and I still sometimes look at code I wrote 6 months ago like what the fuck was I thinking. Code is as much art as science.
Linux, bro.
Linux.
“I bomb atomically, Socrates’ philosophies and hypotheses can’t define how I be dropping these mockeries”
Literally just tell them what you said in this post.
Digital data does not last anywhere near as long as physical artifacts like paper. Most of the data on a hard drive will be irretrievable after a hundred years.
I dunno what you’re saying here. Public awareness of AI wasn’t as “mainstream” as now, but especially for people that were reading science fiction, it certainly wasn’t “space magic”. Asimov’s I, Robot was published in 1950! People have been contemplating and writing about the potential of AI for a very long time.