

I think of the Bambu P1S as the inexpensive alternative to the Bambu X1C or a comparable printer from Prusa, at least in terms of print consistency and ease of use.
My Bambu was my fourth 3D printer (second FDM printer) and it took 3D printing from a frustrating, time consuming hobby to just a thing I do to enable other hobbies. I don’t have to spend time tweaking settings to get a decent print, because the default settings are already good enough. Instead, I can focus on designing models or working with finished prints.
Please, enlighten me - how do you propose we use the term “AI” in a way that’s more useful than a definition that includes machine learning, large language models, and computer vision?
I doubt I’ll agree with your definition, but I’m curious to see how you would exclude machine learning, computer vision, LLMs, etc., from your definition. My assumption is that your definition is going to be either a derivative of “AI is anything computers can’t do yet” or based on pop culture / sci fi, but maybe you’ll surprise me.
To be clear, I’m a software engineer; I’m not speaking in sales speak. I’ve derived my understanding of the term from a combination of its historical context and how it’s used in both professional and academic contexts, not from marketing propaganda or from sci fi and pop culture. I’m certainly aware of the hype machine that’s ongoing, but there are also tons of fascinating advancements happening on a regular basis, and the term “AI” is at minimum a useful term to refer to technologies that leverage similar techniques.