Well said! Most people are in the late adopter or laggard phases of innovation.

I think people are caught on the hype but most people don’t actually use AI in any practical sense.

Understanding when to use it vs when not to use it is going to be a very valuable skill in the future to prevent wasted time and effort, but the only way to get to that state is through trial and error ✨

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Some probably still have VCRs.

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Great take, Alberto!

I've also observed this---to me, inexplicable---hesitancy by the vast majority of people to simply try and experiment with what's possibly the most intuitive tool we've had to date. (When I say "intuitive," I'm referring to the way we interact with it---i.e. natural language---not necessarily the ease of getting the most of it, which does take more practice.)

That's why this year I started focusing more on posts about very simple ways to dip your toe in the water and get started with LLMs, text-to-image models, etc. I want to help nudge people into a "try it and see" mentality.

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Are you talking about ChatGPT as a specific product, or LLM's as a class of product? Is the portmanteau "ChatGPT" genericiding a whole class of "next word calling" software? It's kind of an awkward mouthful, but it could be (or maybe already is) happening. Or maybe its just reaching the Trough of Disillusionment illustrated by the Gartner Hype Cycle (though quicker than usual). See:

https://www.gartner.com/en/research/methodologies/gartner-hype-cycle .

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I'm using ChatGPT to make a border point about LLMs, yes.

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