After the state of the art Deep Learning techniques/algorithms being implemented in low-level languages like Objective-C, C++, etc to high-level languages like Python, JS, etc. and with the help of huge libraries like Tensorflow, Pytorch, Scikit-Learn, etc.

Now, Swift: Google's bet on differentiable programming, they are making Swift differential programming ready see this manifesto and they are building TensorFlow from the ground up in swift S4TF.

So, how differentiable programming and programming language supporting it will potentially help the development towards AGI?


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