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by Florin_Andrei
3445 days ago
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The current AIs are all "base level". There's no "meta" level processing there. The human brain is full of meta upon meta levels. Networks on top of other networks, and so on. Abstractization. Correlation between different domains. Feedback loops. There will be no AGI until we start building that kind of architectures. We're currently only making individual Lego bricks. We haven't started to assemble them yet. |
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Networks on top of other networks -- about any recursive neural network could be in that category. Also there are multiple projects exploring metalearning on deep NNs where it learns the network topology, i.e. learning how to learn.
Abstraction in single domains is very commonly achieved with various types of hierarchy in NN and non-NN systems. Correlation between different domains has fewer examples simply because most AI systems do not deal with multiple domains, but they do exist.
Feedback loops are common and fundamental to AI and simpler non-AI control systems.