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[ accelerating beyond the human ]

UPTIME: calculating...


// ABOUT

> whoami

A node in the network. Information processing entity.

> cat interests.txt

  • :: machine intelligence
  • :: distributed systems
  • :: cybernetics
  • :: accelerationist theory
  • :: dark complexity

// PROJECTS


// WRITINGS


// THE BACKGROUND

> info reaction_diffusion.system

The patterns behind this page emerge from a Gray-Scott reaction-diffusion system — two coupled partial differential equations simulating chemical reactions:

∂u/∂t = Du∇²u - uv² + F(1-u)
∂v/∂t = Dv∇²v + uv² - (F+k)v

u is substrate, v is activator. Your cursor deposits v. Patterns self-organize through diffusion and reaction. This is literally how Turing patterns form in nature — zebra stripes, leopard spots, coral structures.

> tweak parameters

0.035

How fast substrate u is replenished. Higher = more food for patterns.

0.065

How fast activator v decays. Higher = patterns die faster.

0.16

Spread rate of substrate. Usually 2× Dv for stable patterns.

0.08

Spread rate of activator. Lower = sharper patterns.

Presets: F=0.055, k=0.062 (mitosis) | F=0.025, k=0.06 (worms) | F=0.04, k=0.06 (coral)


// LORENZ ATTRACTOR

> info lorenz.system

The Lorenz system — discovered in 1963 modeling atmospheric convection — was the first mathematical demonstration of deterministic chaos. Tiny perturbations lead to wildly divergent outcomes. The butterfly effect.

dx/dt = σ(y - x)
dy/dt = x(ρ - z) - y
dz/dt = xy - βz
10.0

Prandtl number. Affects vortex dynamics.

28.0

Rayleigh number. Below 24.74 = stable. Above = chaos.

2.67

Geometric factor of convection cells.


// LOGISTIC MAP

> info logistic.bifurcation

The logistic map — one equation, infinite complexity. As r increases: stable point → period-2 → period-4 → ... → chaos. The bifurcation diagram reveals the onset of chaos through period-doubling.

x_{n+1} = r × x_n × (1 - x_n)
3.500

r=3.0 → period-2 | r=3.45 → period-4 | r>3.57 → chaos


// JULIA SET

> info julia.fractal

Julia sets — the boundary between escape and capture in the complex plane. For each c, there's a different Julia set. Move your cursor to change c and watch the fractal transform. Infinite detail at every scale.

z_{n+1} = z_n² + c
hover canvas

Move mouse over canvas to change c. Classic values: c=-0.7+0.27i, c=-0.8+0.156i


// CONTACT