this post was submitted on 19 May 2025
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I've said it before and I'll say it again. The only thing AI can, or should be used for in the current era, is templating... I suppose things that don't require truth or accuracy are fine too, but yeah.
You can build the framework of an article, report, story, publication, assignment, etc using AI to get some words on paper to start from. Every fact, declaration, or reference needs to be handled as false information unless otherwise proven, and most of the work will need to be rewritten. It's there to provide, more or less, a structure to start from and you do the rest.
When I did essays and the like in school, I didn't have AI to lean on, and the hardest part of doing any essay was.... How the fuck do I start this thing? I knew what I wanted to say, I knew how I wanted to say it, but the initial declarations and wording to "break the ice" so-to-speak, always gave me issues.
It's shit like that where AI can help.
Take everything AI gives you with a gigantic asterisk, that any/all information is liable to be false. Do your own research.
Given how fast things are moving in terms of knowledge and developments in science, technology, medicine, etc that's transforming how we work, now, more than ever before, what you know is less important than what you can figure out. That's what the youth need to be taught, how to figure that shit out for themselves, do the research and verify your findings. Once you know how to do that, then you'll be able to adapt to almost any job that you can comprehend from a high level, it's just a matter of time patience, research and learning. With that being said, some occupations have little to no margin for error, which is where my thought process inverts. Train long and hard before you start doing the job.... Stuff like doctors, who can literally kill patients if they don't know what they don't know.... Or nuclear power plant techs... Stuff like that.
There's an application that I think LLMs would be great for, where accuracy doesn't matter: Video games. Take a game like Cyberpunk 2077, and have all the NPCs speech and interactions run on various fine-tuned LLMs, with different LoRA-based restrictions depending on character type. Like random gang members would have a lot of latitude to talk shit, start fights, commit low-level crimes, etc, without getting repetitive. But for more major characters like Judy, the model would be a little more strictly controlled. She would know to go in a certain direction story-wise, but the variables to get from A to B are much more open.
This would eliminate the very limited scripted conversation options which don't seem to have much effect on the story. It could also give NPCs their own motivations with actual goals, and they could even keep dynamically creating side quests and mini-missions for you. It would make the city seem a lot more "alive", rather than people just milling about aimlessly, with bad guys spawning in preprogrammed places at predictable times. It would offer nearly infinite replayability.
I know nothing about programming or game production, but I feel like this would be a legit use of AI. Though I'm sure it would take massive amounts of computing power, just based on my limited knowledge of how LLMs work.
I think that this is a big part of education and learning though. When you have to stare at a blank screen (or paper) and wonder "How the fuck do I start?" Having to brainstorm write shit down 50 times, edit, delete, start over. I think that process alone makes you appreciate good writing and how difficult it can be.
My opinion is that when you skip that step you skip a big part of the creative process.
If not arguably the biggest part of the creative process, the foundational structure that is
Was the best part of agrarian subsistence turning the Earth by hand? Should we return to it. A person learns more and is more productive if they talk out an issue. Having someone else to bounce ideas off of is a good thing. Asking someone to do it for you has always been a thing. Individualized learning has long been the secret of academic success for the children of the super rich. Just pay a professor to tutor the individual child. AI is the democratization of this advantage. A person can explain what they do not know and get a direct answer. Even with a small model that I know is wrong, forming the questions in conversation often leads me to correct answers and what I do not know. It is far faster and more efficient than I ever experienced elsewhere in life.
It takes time to learn how to use the tool. I'm sure there were lots of people making stupid patterns with a plow at first too when it was new.
The creative process is about the results it produces, not how long one spent in frustration. Gatekeeping because of the time you wasted is Luddism or plain sadism.
Use open weights models running on enthusiast level hardware you control. Inference providers are junk and the source of most problems with ignorant people from both sides of the issue. Use llama.cpp and a 70B or larger quantized model with emacs and gptel. Then you are free as in a citizen in a democracy with autonomy.
You're right - giving people the option to bounce questions off others or AI can be helpful. But I don't think that is the same as asking someone (or some thing) to do the work for you and then you edit it.
This I disagree on. A process is not a result. You get a result from the process and sometimes it's what you want and often times it isn't what you want. This is especially true for beginners. And to get the results you want from a process you have to work through all parts of it including the frustrating parts. Actually getting through the frustrating parts makes you a better creator and I would argue makes the final result more satisfying because you worked hard to get it right.
Exactly.
That's a fair argument. I don't refute it.
I only wish I had any coaching when it was my turn, to help me through that. I figured it out eventually, but still. I wish.