[graypegg]

The vending machine can dial up the distribution facility to dispatch someone to come refill it. The distribution company is happy about consistant ordering. The business with the vending machine is happy they don’t have to do the call anymore.

We’re supposing that a conscious being makes significant advances in use cases where standard automation hardware+software is applied today.

I’m not saying ML isn’t a major shift, but we’re talking about AGI, I don’t think any use case exists unless it’s specifically meant to wow fleshy human beings. A trained ML model in the domain you’re working in, with out the pesky conscious, seems like it’s the boring efficient end state for automation.

[postultimate]

No, that's not what |I'm supposing. The 80386 got used in vending machines because technology moves on, the new stuff gets cheap, and because it's more generally useful, it gains in popularity while the old stuff loses it, even in cases where the old stuff is adequate. The same process will probably happen for AGI - unless non-AGI has capabilities that AGI can't replicate, AGI will probably replace it.

[graypegg]

Well I guess I’m getting at the fact that an AGI is trained mostly on things that ISNT its current task. Is there any reason why I couldn’t train another ML model only on the scope I care about and get better results? No conscious required. Doesn’t even remotely resemble a human being because all it does it control the combine, which is the only thing making me money.