For most problems where deep learning has enabled transformationally better solutions (vision, speech), we've entered diminishing returns territory in 2016-2017
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I wonder if there is an incremental path to reach such a goal, or it’s a matter of discovering a totally new way of orchestrating neural networks.
I think it will happen more suddenly than incrementally, but the build-up to get there will involve a long series of discontinuous breakthroughs, each shining light on one important aspect of the problem
