The most important thing in building an AGI is the ability to repeated bring the latent layer to equilibrium. This is the fundamental capability that has been missing in previous neural networks. The lack of a dynamic process to continuously reach a free energy minimum is why we have not had, until now, a robust AGI framework.
Please go to THIS 1D CVM Resources Page to access the 1D CVM Resources, including:
- The Excel spreadsheet used to generate the graph of the analytics solutions (z3, z1, and y2 vs. h)
- The PPTX file containing the (annotated) image for the analytic solution.
- The derivation of the analytic solution for the 1D CVM (in the 2014 Themesis Technical Report).