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The Hypervisor Model of Intelligence

Operator Zero (.0)

  • Each person sees itself as the center of the universe
  • Everything is from that person's perspective
  • This is operator zero — the origin point, .0
  • At this point operates the WILL

The Will as the Worm

  • The Will is 'the little worm' at operator zero
  • It is the difference between BROWNIAN MOTION and DIRECTED MOTION
  • Without Will: random walk, diffusion, no history
  • With Will: directed path, creates a WORLD LINE
  • The Will leaves a trail behind it
  • This trail is the person's history — their world line through the 12-dimensional intelligence space
  • Free will = the ability to choose direction in the I-vector space

The Hypervisor Competition

  • Multiple intelligence subsystems are running simultaneously in every person
  • ALL of them are trying to be the HYPERVISOR at all times
  • They are constantly replacing each other
  • The one that becomes active is determined by the ENVIRONMENT

Selection Criterion

  • The subsystem with the MOST DATA POINTS for the current situation wins
  • Metaphor: a sphere of intelligence — whichever sphere has:
  • The most density
  • The most volume
  • The best fit for the current environment
  • That subsystem becomes the active hypervisor
  • The moment the environment changes, a different subsystem may take over

As a Biological Being

  • The hypervisor with the most relevant data for the current context activates
  • Walking 125th Street at night: Interoceptive + Interpersonal hypervisor
  • Solving Yang-Mills: Abstract + Spatial hypervisor
  • Playing basketball: Kinesthetic + Spatial + Interpersonal hypervisor
  • The system is ALWAYS optimizing which subsystem should have control

The Shapes

  • Each subsystem's intelligence can be compared geometrically
  • The shapes have:
  • Topology (holes, connectedness, boundaries)
  • Geometry (curvature, volume, density)
  • Possibly FRACTIONAL/FRACTAL dimensions
  • Continuous functions or continuous spaces
  • Spaces with holes (non-trivial topology)
  • Bounded or unbounded regions
  • Closed and open neighborhoods
  • Supersets, multisets
  • 'A bag of proto-hypervisors' — a collection of potential controllers

Game Theory of the Hypervisor

  • Each subsystem optimizes to BECOME the hypervisor
  • The LOSS FUNCTION: whose geometry fits best? Whose topology fits best?
  • This is a continuous game — not discrete turns, but real-time competition
  • The game theory here is vastly more sophisticated than classical game theory
  • It accounts for:
  • Fractal dimensions (non-integer dimensional competition)
  • Topological fitness (not just metric fitness)
  • Dynamic environments (the optimal hypervisor changes moment to moment)
  • The proto-hypervisor collection (multiple candidates ready to take over)

Connection to Existing Framework

  • The 12 dimensions are the BASIS of the hypervisor space
  • The edges between dimensions are the COMMUNICATION channels between subsystems
  • The Will is the META-HYPERVISOR — the thing that can override the automatic selection
  • When Will is strong: you choose which subsystem runs (directed motion)
  • When Will is weak: the environment chooses (Brownian motion)
  • Maximum activation (12/12) = all subsystems available as potential hypervisors
  • Collapsed dimensions = subsystems that can never win the competition