Tentative title as I note my understanding down

This is all sort of abstract since I don’t really know what is going on under the hood

In my current understanding of Artificial Intelligence there’s two components:

• The method of reasoning - How the neurons activate
• The paradigm - How the method is implemented

The neural network is a series of programmatic neurons; objects which take input and are “activate”. These neurons are interdependent; they can cause the activation of a subsequent neuron.

Methods of Reasoning

• Large Language Models (LLM)
  • The neural network has preprogrammed weights. Input is tokenized and the neurons activate based on those weights and the token.
• Entropix

Paradigms

• Agentic