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Is that going to lead to Software 3.0 or "still traditional" programming? Or I should ask in what ratio?
In short term we'll see a trend towards AI systems that blend handcrafted symbolic models of the world together with deep learning modules for perception/intuition (self-driving cars are a good example). But these are engineering-intensive.
In the longer term these hybrid systems will be automatically generated from data/experiments. The overall generation process will look a lot like existing software engineering workflows, but without the human component.
Could you elaborate?
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