That said, I found myself doing little text mangling tasks with GPT-4 instead of appropriate command line tools, because fuck if I remember the flags to sort and unique, and it's much faster to just describe what I want and have the LLM take a crack at it.
This is why, I think, you'll see a lot of simple(ish) tasks being done by LLMs, at couple orders of magnitude more compute cost - it's just that much more convenient.
"Oh, I live near there too! House or flat?"
Stanley hesitated. These questions were getting more and more personal. Was this her idea of casual conversation? Or was she trying to get to know him personally? Well, he thought, what could go wrong if I treat this like a conversation. "Flat," he said. And then asked a question of his own. "What kind of pop do you like?"
How are you going to decide if "flat" is talking about non-fizzy pop/soda, or a dwelling space with a regex? It's a lot closer to the word "pop."
Of course, GPT handles this perfectly https://chat.openai.com/share/fb6a56a2-749c-4e71-9506-541bb8...
But I'll admit I agree that this is well beyond the scope of regex.
Are we really going to let big corp automate away their role in the social contract? Ostensibly Random House needs to provide real output not just be a brand that farms out all the work to AI, and thus captures value on the fiat ledger.
The number of rent seeker non-contributors is too damn high. We cannot base society off dying peoples hallucinations about how the world works anymore. This is bonkers.
I never asked to exist. Why am I constrained to beliefs like Bill Gates and the like are divine in contemporary ways?
and then run this prompt on each pair of words that you want it to do. When it's done, run a quick diffcheck on it & check its work to learn of any gotchas.