That's all speculation, and it may prove to be true.
But:
> readers are finding it a phenomenal story
is not true across the board.
I thought to myself, explicitly, and fairly early "This is a fun and thoughtful idea, but the writing is kinda crap" before I realized (maybe a third if the way through) "ah, right, this is genAI. That tracks."
Despite my deep-seated hatred of LLMs, I choose to finish the piece and see if I was being unfair to the actual work ("the output", in the soulless descriptor used by programmers who've never once written a real story or crafted a song).
As a longtime avid reader of fiction, lit nerd, and semi-pro musician, I understand writing and artistry better than the average HN poster, and couldn't help but see the flaws in this.
People who don't have deep knowledge of literature don't catch the tells or flaws as well, but are still understandably angry when they find out they burned their time reading clanker output, and are understandably depressed that they were suckered into it because they haven't spent a lifetime developing a deep understanding of the discipline.
It's possible that genAI approaches will surpass humans in every field we invented.
So far, though, in every field I understand deeply, I see the uncanny mediocrity of the average in every LLM output I have subjected myself to.
This "flavorlessness" is all over the story, and paired with the obviously genAI images is how I realized as I read that this was either generated or at the least deeply driven by AI.
It constantly described facial expressions, tones of voice, and other emotional cues in generic, dry terms that communicated nothing but the abstract notion of "this person felt a particular way about what happened and it's up to you, the reader, to imagine what that feeling was."
It felt very much like it was prompted to "show, don't tell," by someone who has no idea what that phrase actually means.
As a professional programmer with a deep background in literature and music, this is yet another example that if you aren't an expert in a field, you will get mediocre results at best from an LLM, while being deceived into thinking they're great.
Five years ago and before, the blog post author would have gone to Fiverr and asked for an artist from a developing country to create some illustrations. There are many, many images on the Internet from five years (and before) that look similar. I object to your use of the adverb "obviously".
No, I clocked the AI images before I noticed the text. I think the "obviously" is earned.
You are correct that a previous era would have included a bunch of Fiverr images that would be in sort of that style, but it's not the style that's the problem. None of the images say more than the text that they're illustrating. It's subtle, but once you notice the lack of information density it becomes starkly apparent.
As others have pointed out in this discussion, there's a big difference between some humans producing drawings in a given style and a machine producing millions of illustrations per day in that style.
I have rarely been as disheartened as I am by the transformation of Studio Ghibli's beautiful art style, painstakingly developed over decades, into a heap of slop-trash that actively erases the human connections so artfully depicted in Hayao Miyazaki's work.
All that sorrow and it's not even my style.
So, no - a human who's willing to draw an illustration in a particular style, perhaps one they live and admire, is not necessarily a hypocrite for seeing genAI's ability to produce billions of images in that style.
I don't think mass production cheapens the handcrafted experience. Just because a factory can pump out cheap shoes doesn't mean it's no longer enjoyable to buy, own and experience a handmade pair of leather shoes; it's only that the reason for buying them becomes different (necessity vs. luxury).
The Ghibli thing is a great example; who's still actually doing that? It was a passing fad.
But let's not pretend that that passing fad has changed the fact that Ghibli's films are absolute masterpieces that will continue being enjoyed by generations to come. Because they are and still are.
It's not mindless brute-forcing, the details of the architecture, data, and training strategy still matter a lot (if you gave a modern datacenter to an AI researcher from the 60s they wouldn't get an LLM very quickly). The bitter lesson is that you should focus on adjusting your techniques so that they can take advantage of processing power to learn more about your problem themselves, instead of trying to hand-craft half the solution yourself to 'help' the part that's learning.
I found this article a little weak, but there is an interesting parallel.
The 10,000 hours thing is encouraging because the amount of effort you put in as far more important than your natural ability.
... Until you get to the point where everyone is already working as hard as humanly possible, at which point natural ability becomes the sorting function again.
They have researchers working for insane salaries just so they don't go to another frontier lab to share their ideas. If you think it is just "mindless bruteforce" you don't understand anything. The idea is that the most effective methods are ones that scale but those ideas are also then limited by the compute available.
I hold Control and double-tap b for managing the remote session, then everything else is the same.
Granted, I'm not a power user, so there may be numbers that get frustrating. I could imagine complex splits getting confusing (I don't use splits at all).
I answered the more important question of a seemingly lost youngin and how to deal with the stress of inheriting a world in a bit of turmoil.
That said, trivially we already see it advancing math and science research as an assistive tool, development and more. Extrapolate it out a few more generations and it helps us unlock a whole bunch of things on the skill tree of life so to speak.
>It's amazing it can do it at all... but the resulting compiler is not actually good enough to be worth using.
No one has made that assertion; however, the fact that it can create a functioning C compiler with minimal oversight is the impressive part, and it shows a path to autonomous GenAI use in software development.
No, you should make your goal to teach AndrewKemendo to appreciate his existence as the inscrutable gift it is, and to spend his brief time in this universe helping others appreciate the great gift they've been given and using it to the fullest.
AndrewKemendo (based on his personal website) looks to be older than me. If he hasn't figured out the miracle of getting to exist yet, unfortunately I don't think he's going to.
Because I don't believe humans need succeeding by machines? You're obviously a Curtis Yarvin / Nick Land megafan. I'm of the opinion that these people are psycopaths and I think most people would agree with my sentiment.
I'm familiar with Ray Kurzweil. He's a Luciferian and transhumanist. You're obviously also a Luciferian, since you are so gung-ho about transhumanism, but I suppose you're probably in good company on HN. There are lots of deranged people on this website.
Lucifer is an archetype. Transhumanists are all about one-upping God, which is exactly what Lucifer was all about. If you're a Kurzweil devotee, then you're a Luciferian whether you know it / want to admit it or not.
But:
> readers are finding it a phenomenal story
is not true across the board.
I thought to myself, explicitly, and fairly early "This is a fun and thoughtful idea, but the writing is kinda crap" before I realized (maybe a third if the way through) "ah, right, this is genAI. That tracks."
Despite my deep-seated hatred of LLMs, I choose to finish the piece and see if I was being unfair to the actual work ("the output", in the soulless descriptor used by programmers who've never once written a real story or crafted a song).
As a longtime avid reader of fiction, lit nerd, and semi-pro musician, I understand writing and artistry better than the average HN poster, and couldn't help but see the flaws in this.
People who don't have deep knowledge of literature don't catch the tells or flaws as well, but are still understandably angry when they find out they burned their time reading clanker output, and are understandably depressed that they were suckered into it because they haven't spent a lifetime developing a deep understanding of the discipline.
It's possible that genAI approaches will surpass humans in every field we invented.
So far, though, in every field I understand deeply, I see the uncanny mediocrity of the average in every LLM output I have subjected myself to.