I feel as though many are beginning to understand that AI is simply just another tool that has a place in specific use cases. It is not a magical technology which can be widely implemented.
AI isn’t a tool, it’s an umbrella term applied to countless individual tools. Just a couple of years ago automated language translation wasn’t AI. Now it is for whatever reason.
My homelab has never been running more smoothly and I’m learning tonnes with effectively bespoke tutorials for my exact setup. At work, if I spend weeks developing a high quality report, translating it into derivative documents (like work plans or policy documents) has never been easier to get started. It gets me unstuck in a few keystrokes with a “shitty first draft” that I can refine. But you have to start with good info - it can’t make something good out of nothing. I see value, but maybe different from what it’s being sold as.
I feel as though many are beginning to understand that AI is simply just another tool that has a place in specific use cases. It is not a magical technology which can be widely implemented.
AI isn’t a tool, it’s an umbrella term applied to countless individual tools. Just a couple of years ago automated language translation wasn’t AI. Now it is for whatever reason.
Tbf I think that is because systems that were classified as AI became the backend for a lot language translation
In software coding I must say copilot in vscode is pretty impressive and very useful
My homelab has never been running more smoothly and I’m learning tonnes with effectively bespoke tutorials for my exact setup. At work, if I spend weeks developing a high quality report, translating it into derivative documents (like work plans or policy documents) has never been easier to get started. It gets me unstuck in a few keystrokes with a “shitty first draft” that I can refine. But you have to start with good info - it can’t make something good out of nothing. I see value, but maybe different from what it’s being sold as.