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Serious question. Can we build an AI that builds the AI that builds the AI? What are the theoretical consequences of going higher and higher up the build chain?
by deltaonefour 5y ago
Serious question. Can we build an AI that builds the AI that builds the AI? What are the theoretical consequences of going higher and higher up the build chain?
- sumosudo 5y agoYou just had the shower idea for Skynet..
- mkaic 5y agoThis is something I'm actually, genuinely really interested in. In fact, just the other day I was thinking about whether you could use GNNs to accomplish something like this -- so I was understandably pretty hyped to see this post on HN. I've been struggling to find the right terms to Google to find out more about the field, but it looks like "hypernetwork" was what I was looking forward. I highly, highly doubt that the first AGI is going to be designed by hand by humans -- I'd be willing to bet money that the first AGI is going to be recursively designed by multiple layers of constructor AIs just like what you're proposing. Incredibly exciting idea IMO, and I'm confused why there doesn't appear to be more interest in it.
- deltaonefour 5y ago>I highly, highly doubt that the first AGI is going to be designed by hand by humans Regular AI isn't even done by hand anymore. We just pick data and learning parameters. At the current state we'd be picking higher and higher categories for learning. At the lowest level we pick data about cats to write something that recognizes cats. At a higher level we pick data about things that recognize things and so on... and so on. How does extremely high level training data effect the low level accuracy of the AI at the lowest level? I would presume that it would effect it negatively as technically all AI is estimation. So estimations on estimations are less accurate.
- optimalsolver 5y agoYou're thinking of something like a Godel Machine. https://en.wikipedia.org/wiki/Godel_machine https://en.wikipedia.org/wiki/Godel_machine