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They already are; e.g. Jeff Dean among many others. The question is will the PL academic community play as well.

Conal Elliott has done a lot of work in this area about 10 years ago. His work is beautiful but maybe before it’s time.

Interesting comment regarding Conal Elliott. I've always thought there is some similarity between probabilistic programming (specify a probabilistic model as a graph), functional reactive programming (specify some reactivity as a graph) and deep learning (specify some linear algebra / calculus / optimization operations as a graph). Too bad the word "graphical programming" would be interpreted as "visual programming" (or programming using plots and charts!) and not programming using an explicit graph structure.

Can you expand on this comment, I don't understand.

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