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The future of high-level APIs for AI is... a problem-specification API. Currently we only search over network weights, thus "problem specification" involves specifying a model architecture. In the future, it will just be: "tell me what data you have & what you are optimizing"
AI is all about getting rid of the part where you code up solutions, and going straight to the part where you code up problems 
Thirty five years ago, I spent the summer building an expert system in Prolog to recommend various statistical tests for data!
Spot on.
linear programming with modeling languages like GAMS is a lot like that. Describing the structure of the problem and therefore *what* should be solved instead of *how* to solve it.
Use regular PowerPoint files as the input, learn to create MVPs directly from slides with the proper boxology applied.https://twitter.com/fchollet/status/1082359528056733696?s=19 …
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