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> All we need to worry about is the weights and the dynamics of the network as a whole. How much of a simplification is that? A lot. Parallel optimization is a
by visarga 5y ago
> All we need to worry about is the weights and the dynamics of the network as a whole. How much of a simplification is that?
A lot. Parallel optimization is an art form. These models are trained on static datasets, they can't intervene in the environment to infer causal relations, so they need legs and hands.
- google234123 5y agoThey totally can https://deepmind.com/blog/article/generally-capable-agents-emerge-from-open-ended-play https://deepmind.com/blog/article/generally-capable-agents-e...