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Earlier quoted context omitted.
> derivative work, script kiddies I am not sure why or in which way you are saying that: I'd say that kind of activity will be boosted.
> that kind of activity will be boosted but there would less human programmers behind it...
I would guess the substantial opposite: maybe less "real" programmers, probably more people. I wrote nearby, «There will be ... more accessibility[ - ]and more bad quality».
Yeah, it's the perfect use case for generative AI. I worked on it because it seemed like a hard and niche enough problem, and yet not important enough that someone else would try to solve.
It follows certain patterns, aka tropes. Story tropes have been around since Classical Greek civilization. It uses procedural generation to make sure that characterizations don't conflict. It uses some techniques to make it easy to get into the character rather than just being a third party description.
As you can see, it's far from perfect. Search traffic has gone down about 50% but direct users have gone up by about 30%. So it does appeal to a niche.
I've been using GPT-3 as a kind of "pre-render" because it's so damn tiring to write descriptions of someone being brave. But it's not quite good enough, and ChatGPT can just do the whole thing quickly and for almost free.
ChatGPT has a huge weakness here though - it doesn't quite know what makes an interesting character, and usually the people asking it don't know either. It's about setting up tension. There's intention and obstacle. Plots and characters usually need to be simplified to make the story easier to follow.
With GPT-3.5 being so cheap, we could actually plug in AI directly here on a free app. But at 5 cents per character it still adds up to $100/month.
Then again, there's interesting stuff, like more directly relevant content rather than this genericness. It can generate incredible detail on articles of clothing. And so on.
Gluing multiple systems together for a full project - whether it be web, CI/CD /devops style problems, or large systems engineering problems will surely almost never be replaced by AI. The larger the scale the more amount of places to be wrong, the more BS to debug if you get AI to generate it because it will have a million issues and nobody will know where to start looking.
Sometimes I feel like I live in an entirely different universe from other HN users and posts like this reinforce that view.
I feel a sense of urgency to generate wealth before AIs become capable enough that those who didn’t make it become stuck in some sort of UBI limbo.
On the other hand, when trying to apply GPT-3.5 and 4 to do useful work, their limitations become so glaring that I think most takes on the internet in the vein of "chatGPT made an app" are incredibly naive.
Yes, I am worried about it. However, so far the impact has been positive, with GPT enabling me to expand the scope of my project that can be achieved with the same amount of work. I feel a sense of urgency to generate wealth before AIs become capable enough that those who didn’t make it become stuck in some sort of UBI limbo. On the other hand, when trying to apply GPT-3.5 and 4 to do useful work, their limitations b…
The sense of urgency you describe is exactly how I feel.