It's great to see Marcus's 3.8: "Deep learning presumes a largely stable world, in ways that may be problematic."
Most interesting problems in the world don't mirror Go's orderly rules. Players don't always take turns; the size of the board changes, and the pieces' powers mutate.
Marcus cites politics and economics as fields that pose fierce challenges to deep learning. I'd add marriage counseling, stand-up comedy, full-length fiction, and most sustained interactions between multiple people.
Marcus cites politics and economics as fields that pose fierce challenges to deep learning. I'd add marriage counseling, stand-up comedy, full-length fiction, and most sustained interactions between multiple people.