I disagree. LLMS take a human thought, simplify it, normalize it, remove it from its original context, inject it with their own biases and prejudices, assume an imaginary context. They bastardize human thoughts into something fairly generic.
The comparison with manual calculation or other mechanical operations doesn’t work, LLMs don’t work at the same level of abstraction, they take over the decision making human generally do. When you write code or write a text, us humans are continuously taking lots of small decisions, we don’t just translate 1:1 a thought to an artifact. And that’s the part that is taken over by LLMs.
If they do that you’re using them wrong, or trying to use them as a substitute for thinking which they’re not.
You are the one in charge doing the primary thinking and guidance. The AI is an amplifier and a search engine basically.
That model simplifies thought into a painfully linear process, and overestimates the creativity people put into the "small decisions" that push a project forward. Most decisions are arbitrary and need to be reconsidered later anyway. And any real creative work has a "push it far enough to find the edge cases, then go back to the initial design and iterate" loop cycle anyway.
AI significantly speeds up the "Find where this spec breaks down, then lets go back to the design stage" in a way that should enable any creative person to create more interesting and useful work. If the output is slop, that reflects on the operator, not the tool.