#VectorMappingMachine

2021-09-02

#AI demystified: a decompiler

To prove that any "artificial neural network" is just a statistically programmed (virtual) machine whose model software is a derivative work of the source dataset used during its "training", we provide a small suite of tools to assemble and program such machines and a decompiler that reconstruct the source dataset from the cryptic matrices that constitute the software executed by them.

Finally we test the suite on the classic #MNIST dataset and compare the decompiled dataset with the original one.

#ArtificialIntelligence
#MachineLearning
#ArtificialNeuralNetworks
#microsoft
#GitHubCopilot
#Python
#StatisticalProgramming
#VectorMappingMachine

tesio.it/2021/09/01/a_decompil

The only 7 samples for the MNIST dataset (over 60.000 images of handwritten digits) that were slightly different after the decompilation of the "artificial neural network". They use slightly different shades of grey in some pixels, due to implementation details of the attached proof of concept (floating-point arithmetic rounding).

All other 59993 samples were decompiled perfectly.

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