it’s getting to the point where I notice people say it a lot, especially IRL now for whatever reason recently.
And for clarity I’m not in research or anything, so these people just mean ‘LLM/image gen’, not utilities like OCR or (usually not) transcription.
Some have argued it’s just more efficient (which I can kind of get), while others think you’re actively hindering your intelligence somehow.
On the first point:
I’ve tried it occasionally to see how it compares to my own skill, and while it produces a functional result, it’s always very derivative work to the point where you can find things with the exact same names of other ‘public’ (but not libre) works, and often isn’t the ideal solution to what it targets. So I can see how you can get things out of it, but it never felt really that profound to me.
But for the second… isn’t this supposed to be the tool for people to do things they aren’t experienced in? If anything, you probably need to be able to understand how to write pertaining to the task so the token probabilities are biased toward writing from that area.
And even then, if all you end up doing is prompting AI, then wouldn’t you ultimately serve no purpose outside of being glorified QA?
I guess I’m trying to figure out what exactly non-users would be ‘falling behind’ in that affects them more than those who use AI?


Seems like some people are looking at the AI chatbot and thinking “this thing is smarter than me.”
AI’s extremely flawed still, but it’s improving. There might actually be a day when it can do many of the things they promise. Supposedly it’s helping disease research. That seems undeniably good. Right now it’s useful in a few ways, in the future it will be helpful in more ways.
My biggest concern is that AI chatbots will soon start giving alternate versions of history. Becoming a huge propaganda tool. Even more than currently. I am afraid for the day when 99% trust it blindly. And that day is already almost here.
That’s what “ai” (actually called machine learning) was actually first created for; researching disease. Trawling through large data sets and finding correlations.
Then the venture capitalists attacked and everything changed.