“Not X. Not Y. Z.” – Are you not willing to edit the tropes out?

Or maybe teach your LLM to fix itself. Starting rule set:

https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing

If anything, the AI bubble is reinforcing to me (and hopefully many more people) that the "markets" are anything but rational. None of the investments going on have followed any semblance of fundamentals - it's all pure instinct and chasing hype. I just hope it doesn't tear down the world for the 99% of us unable to actually reap any benefits from it.

AI is basically a toy for 99% of us. It's a long long ways away from the productivity boost people love to claim to justify the sky high valuations. It will fade to being a background tech employed strategically I suspect - similar to other machine learning applications and this is exactly where it belongs.

I'm forced to use it (literally, AI usage is now used as a talent review metric...) and frankly, it's maybe helped speed me up... 5-10%? I spend more time trying to get the tools to be useful than I would just doing the task myself. The only true benefit I've gotten has been unit test generation. Ask it to do any meaningful work on a mature code base and you're in for a wild ride. So there's my anecdotal "sentiment".

I actually think things improved substantially when compared to last year. The latest batch of sota models is incredible (just ask any software engineer about what’s happening to their profession). It’s only a matter of time until other knowledge workers start getting the asphyxiating “vibe” coding treatment and that drama is what really fascinates me.

People are absolutely torn. It seems that ai usage starts as a clutch, then it becomes an essential tool and finally it takes over the essence of the profession itself. Not using it feels like a waste of time. There’s a sense of dread that comes from realizing that it’s not useful to “do work” anymore. That in order to thrive now, we need to outsource as much of your thinking to GPT as possible. If your sense of identity comes from “pure” intellectual pursuits, you are gonna have a bad time. The optimists will say “you will be able to do 10x the amount of work”. That might be true, but the nature of the work will be completely different. Managing a farm is not the same as planting a seed.

Possible confound (seems important):

"creatives" tend to have a certain political tribe, that political tribe is well-represented in places that have this precise type of authenticity/etc. language around AI use...

Basically a good chunk of this could be measuring whether or not somebody is on Bluesky/is discourse-pilled... and there's no way to know from the study.

One issue with AI for creatives is that it’s virtually impossible to get AI to create a specific vision you have in mind. It creates something, but you just have to accept whatever that is, you can only steer it very roughly. It can be useful for getting inspiration, but not for getting exact results. If AI was better suited for realizing one’s own creative vision and working in a detail-oriented fashion, creators would likely embrace it more.

We have a full page on the methodology we used! Let me know if you’d like access to the dataset we created for this. The aim was not to be scientific but to flush out some deeper meanings from these interviews that typical nlp techniques struggle with. Ps: Of course we used llm tools as a writing aid, I’d be willing to bet those “signals” probably come from my own writing though and my appreciation of Tom Wolfe. I’ve been told it can be “sloppy” sometimes.