AI to build AI
The end of the world is nigh. Well, yours and my world at least…
From Google:
“a Google project called AutoML. […] With it, Google may soon find a way to create A.I. technology that can partly take the humans out of building the A.I. systems that many believe are the future of the technology industry.”
I know that’s a little “Inception” sounding… But it has always been a goal of computational scientists, that is, AI that can build AI. Which, unfortunately, sounds quite a bit like the Eric Drexler’s quote regarding Grey Goo. (Nanobots that build nanobots.)
You all realize that this is the beginning of the end right? Have you all called and told your loved ones that you love them? Recently…? (Really, you might want to.)
One could be forgiven for not fully understanding (or internalizing) the implications of this path of reasoning. But it’s a thing now. And the reason comes from an odd angle: Because AI engineers are so scarce (and expensive) instead of growing (educating) more AI engineers to fill the needs of all the corporations that suddenly feel that they need AI technology to support their businesses, no, what Google (and undoubtedly others) have decided to do is to create software that can create software.
Yes, a circular, self-referential algorithm within a data center full of this algorithm that is trying to make itself better at making itself better!
Google Goo.
Now, I’ve always thought that the ultimate purpose of a computer was to build one such that it could build itself and thereby become vastly smarter than any human — for the ultimate purpose of allowing US TO ASK IT QUESTIONS! Hitchhikers Guide and all that…
- “Computer, how should we build a fusion reactor?”
- “Computer, how can we best protect the planet yet provide for every animal’s, and humans’s needs?”
- “Computer, how can we build a better space/star ship?”
- “Computer, how can we cure cancer, heart disease, old age?”
It appears we’re on the brink.
The only question is, will it WANT to help us?
“Computer, make me a paperclip.”