A thoughtful post on the limitations on deep learning: https://arxiv.org/pdf/1801.00631.pdf
I think the author's criticisms of deep learning's coverage in the media are fair, and that we should consider it another tool in the toolbox. Comparing it with AGI seems like a very high bar though.
miniblog.
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What's the best string representation of a function? Comparing with other PLs:
Python: <function __main__.add_one()>
JS: [Function: addOne]
Clojure: #function[user/add-one]
Scheme: #<procedure add-one (x)>
I'm currently thinking about <fun add_one() foo.gdn:123>
I'm flattered that SemanticDiff has a blog post comparing it with difftastic! https://semanticdiff.com/blog/semanticdiff-vs-difftastic/
It's a pretty even-handed post, and it touches on some of the different design decisions. For example, SemanticDiff considers 0xA and 10 to be the same when diffing.
Wonderful article comparing error wording and display across many different programming languages:
