Those moments, the ones where you have seemingly exhausted all possibilities, are the ones where your mind starts working.

That seems plausible, but in reality I’m not actually sure that’s true. Even before “AI” (which I fully know is a false buzzword and really should just be “LLMs”), I just stuck to the only known way of doing things if I was unsuccessful. Basically, the LLM is merely an additional opportunity to find resolution; I would’ve actually given up at the level of annoyance where I was before trying it anyway.

who can only forward what AI told them get AI to solve the problem better than more effectively than others

It actually takes finessing to understand how the model may likely be perceiving your problem, hence the entire sub-industry of experienced prompt engineers. You have to be patient in identifying why it messes up and how to guide it towards accuracy, and there are certain ways to address this.

Why would I give you a raise when I could just replace you with someone equally capable of reading off “AI solutions”?

It’s about generation of optimal solutions in the first place versus ones that don’t work. People who aren’t at least familiarizing themselves will be left behind. I speak this as someone who is wary of LLMs, is fully aware of their copyright disputes, and tries to use them less than once/week.

Where are these “better employers” who will “probably” save you going to come from

They will emerge from the experience of not relying so heavily on LLMs for very complex matters as opposed to simpler ones.

Is that assessment based on anything in particular?

Just my suspicions about where this is all going…

Why go to bat like this over something you can only call “mostly okay” for particularly small tasks?

Fair point that I could have elaborated on: I know people using interconnected agents to shrink 5 hours of work into half an hour, like it or not. Let me share what he said:

Man
You should see the future i work in
We have every AI tool at work
All connected to our databases
Slack, Gmail, calendar, code, Claude, codex, notion, langsmith
My agents all communicate with each other and pull from each resource
Work is light speed and sooo easy
I’m like “chatgpt, based on today’s meeting which notion transcribed, create for me a linear task, and assign the priority based on the product handbook in notion, and send a slack DM to the channel, and send a recurring calendar invite for the meeting to discuss the project”
It does like 5 hours of work for me in 30 seconds

How can you fight this? Ethical or not, we will fall behind if we shun it like luddites. At the same time, though, I think the bubble may burst for extremely complex operations revealing faults, which would pull employers back to using it in lower-level capacities; either that or else the killer may be permanent ecological devastation. Either way, we have certainly opened Pandora’s box and it’s going to come to some breaking point. If on the off-chance that none of these calamities comes to pass, though, then we will really fall behind all the more acclimated.