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    The author doesn’t give any examples at all of innovation slowing, so I’m not sure what he’s referring to, much less whether I agree.

    Just in the last decade-or-so I’ve seen the resurgence of innovation in statically-typed native-compiled languages (Go, Rust, Swift, Nim, Zig, Crystal, etc. etc.); integration of functional techniques into the mainstream, especially in GUI programming where FRP has been a major game-changer; better cryptographic algorithms and libraries like NaCl/libSodium; the overhyped but still important blockchain concept; a flowering of different types of databases and query engines where there used to be a relational/SQLmonoculture; the amazing growth of “deep learning” neural networks and machine learning in general… and I’m sure I’m leaving out a lot of things that I’m just not as personally interested in.

    As credentials (since he gave his) I’ve been programming since I was a kid in the the mid-70s, and a working engineer since the mid-80s. The last real drought of innovation I recall was in the early 90s … then in ‘93 a co-worker showed me this cool new program called NCSA Mosaic, and everything exploded.