Imagine you had an oracle which could assess the situation an agent is in and produce a description for an ML architecture that would correctly “solve” that situation.
I think for some strong versions of this oracle, we could create the ML component from the architecture description with modern methods. I think this combination could effectively act as AGI over a wide range of situations, again with just modern methods. It would likely be insufficient for linguistic tasks.
I think that’s what this article is getting at. The author is an individual from Uber. Does anyone know if this line of thinking has other articles written about it?
I’m not quite sure what you mean. If you want other manifests for a more evolutionary or meta-learning approach, DM has https://arxiv.org/abs/1903.00742 which lays out a bigger proposal around PBT and other things they’ve been exploring, if not as all-in on evolution as Uber AI has been for years now.
Imagine you had an oracle which could assess the situation an agent is in and produce a description for an ML architecture that would correctly “solve” that situation.
I think for some strong versions of this oracle, we could create the ML component from the architecture description with modern methods. I think this combination could effectively act as AGI over a wide range of situations, again with just modern methods. It would likely be insufficient for linguistic tasks.
I think that’s what this article is getting at. The author is an individual from Uber. Does anyone know if this line of thinking has other articles written about it?
I’m not quite sure what you mean. If you want other manifests for a more evolutionary or meta-learning approach, DM has https://arxiv.org/abs/1903.00742 which lays out a bigger proposal around PBT and other things they’ve been exploring, if not as all-in on evolution as Uber AI has been for years now.