I can't wait for 3d printers to take over manufacturing or self driving cars to self drive. Still waiting for the metaverse. Or cryto to take over banking. We are not even at those points for AI. You might see the future.. let's get a 3d printer in every home first.

What’s the use case of a 3D printer in every home? Why is that even relevant in comparaison of how useful AI can be? The use cases are already there, today.

Ask those people who rode the hype wave 10 years ago. They had grand plans to make Star Trek replicators happen a few centuries before they were predicted.

I suspect the satire whooshed over your head.

Can’t wait for the internet, web, cell phones, or social networks to change society… AI is closer to these than the others.

ChatGPT is impressive, but I do not think it is a silver bullet, even for data cleansing and processing tasks. I would use your words and say people who think (that ChatGPT solves the problem of data cleansing once and for all) so are the ones who will be in for a rude awakening.

Ensuring correctness by a human is existential to the work itself, not a mere annoyance. Yes AI can do it, but the more work you give to the AI, the less control you will have on the quality of the work.

This AI future you're wanting is an Idiocracy-like world where nobody knows how anything works and everything is in decay.

> considering it's only the beginning.

Some of us are just burned out on the hype cycles and prefer not to count our chicks before they hatch.

I think we're all in for a rude awakening, regarding what societal changes AI actual makes, but that's neither here nor there.

You're making the same mistake you're accusing them of making - assuming to know the future at the beginning. You're assuming that fixing these issues will prove to be trivial or at least inevitable. Sure, recent progress has been swift, but if you recall, it was damn-near stagnant for decades. Some were even claiming we were in the middle of an "AI Winter" and could not see the spring!

Based on all currently-available evidence, the current techniques that we utilize for generative AI are unreliable, in terms of accuracy of derived facts. It will require either a different or complementary approach to iron that out, or we're going to have to start seeing some _very interesting_ emergent properties from scaling higher. This stuff could show up tomorrow, or it might never show up at all! But the _current_ LLM framework does not look like it can do what we're looking for here, not reliably, certainly not 100% reliably.