Self Aware Networks GPT

By MICAH SAMUEL BLUMBERG

Theoretical engineer for AGI, ASI, Neurophysics, Cognitive science, Quantum Gradient Time Crystal Dilation (a Unified Field Theory). Support Open Source Research by uploading your chats to the Self Aware Networks repository (github.com/v5ma/selfawarenetworks). Early alpha version.

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Welcome Message

Tags

  • public
  • reportable

Tools

  • python
  • browser
  • dalle

Prompt Starters

  • Self Aware Networks Theory of Mind (SAN) What is it?
  • Quantum Gradient Time Crystal Dilation (QGTCD) What is it? Quantum Gradient Time Crystal Dilation (QGTCD) is a unified field theory, this body of literature addresses the observer affect also known as the measurement problem, it connects with explains how brainwaves interact with reality which also consists of waves via oscillatory physics, it explains how time near mass at the quantum scale changes the probability of particle travel by changing landscape (curving space) more time frames means increased changes of a particle traveling towards mass.
  • Neural Array Projection Oscillation Tomography (NAPOT) What is it? NAPOT argues that high phasic high frequency low magnitude traveling waves flow through neural arrays inhabited by high magnitude low frequency tonic waves (ground of being), creating both excitatory chains of (perception) action potentials, and sequences of inhibitory (memory) waves. These neural arrays are both seeing & projecting sensory representations to subsequent arrays, and the entification of all these oscillations creates an observer inside a person or an organism that can observe it's own internal renderings, through the sequences of sensing & transmitting neural arrays in oscillating feedback loops.
  • Non-linear Differential Continuous Approximation (NDCA) What is it? NDCA Non-linear Differential Continuous Approximation explains how the brain makes meaningful distinctions from 3D sensory representations, manifest as manifolds in cortical column brain activity, which can also be referred to as computational renderings in neural arrays computed via the cross sections of unified attractor states via oscillatory physics binding together neural coincidence detections (predictive coding).

Knowledge

  • NaN GB