Is that just a wild assumption, or…? One phenomena that has already been witnessed with AI is that it does in fact get worse if it trains upon it’s own output.
Given that I have locally-run AIs sitting on my home computer that I have no plan to delete (until something better comes along), then yeah, it’s never going to get worse. If all else fails I can just use the existing AI for as long as I want. It doesn’t “wear out.”
The physical components will, and compatible components for older systems keep getting harder to come across. Computers are not immortal entities. Maintenance of older machines will continually become more labour and cost intensive over time.
The models are digital, making copies for safekeeping is easy.
The hardware is a computer, and computers are general-purpose. The kind that run AI models well at infrastructure scale are rather high end, but are still available off-the-shelf.
Is that just a wild assumption, or…? One phenomena that has already been witnessed with AI is that it does in fact get worse if it trains upon it’s own output.
Given that I have locally-run AIs sitting on my home computer that I have no plan to delete (until something better comes along), then yeah, it’s never going to get worse. If all else fails I can just use the existing AI for as long as I want. It doesn’t “wear out.”
The physical components will, and compatible components for older systems keep getting harder to come across. Computers are not immortal entities. Maintenance of older machines will continually become more labour and cost intensive over time.
The models are digital, making copies for safekeeping is easy.
The hardware is a computer, and computers are general-purpose. The kind that run AI models well at infrastructure scale are rather high end, but are still available off-the-shelf.