How the first ‘deep learning’ approach outperformed classical neural networks in 1990.

Creating complex neural architectures from genetic code

Imitating natural evolution and neuronal growth processes

An approximation of neocortex structures, according to Ray Kurzweil

Scott Fahlman’s idea to speed up gradient descent

How LLM-based micro AGIs will require a paradigm shift towards modelling thought processes