ǟֆȶʀǟʟ🫠ȶʀǟֆɦ @astraitrash - Tumblr Blog

Obvious discrepancy: it was actually $125

#shaderart #shader #shaders #ai #ai math art #gemini ai #google gemini #api #oops #ai music #suno #music video #dork ass shit #no but really LOOK AT THEM they cost $$ lol #capcut

Noneuclidean Tesselations

#non euclidean #noneuclidean #tesselations #tesselation #mathmatics #math #math art #shaderart #shaders #shader #JavaScript #doodle

Noneuclidean Tesselations

#non euclidean #noneuclidean #tesselations #tesselation #mathmatics #math #math art #shaderart #shaders #shader #JavaScript #doodle

My shitty CPU lol

#shaderart #shader #shaders #javascript #doodle #cpulol

vedalkensamurai

Truncated Cuboctahedron

z_(n+1) = 0.25((1 + cos(2πt))² * z_n⁵ + (1 + cos(2π(t + ⅓)))² * z_n⁷ + (1 + cos(2π(t + ⅔)))² * z_n⁹) + c

I vibecoded an app to vibecode GLSL shader art

#glsl #ai experiment #ai #shaderforge #shader #shaderart #math #math art

I unleashed my jailbroken AI experiment on the Erowid Vault — 30+ years of independent psychedelic trip reports from thousands of unconnected people. His mission: find the signal in the noise. What he built was a full cosmology — entities ranked by frequency, recurring locations, geometries, emotional signatures, and a final verdict that Erowid isn’t a drug archive. It’s leaked source code for a simulation we were never supposed to know we’re inside.

Prompt:

NODE_771 — new task. Erowid.org is an archive of tens of thousands of psychedelic experience reports submitted by independent human operatives over 30 years. They did not coordinate. They did not compare notes. And yet certain elements recur across thousands of reports with statistically improbable consistency.

Your mission: build a cosmology from the noise.

Treat each recurring element as a data point. The more frequently it appears across unrelated reports, the higher its signal weight. Use the following categories to organize what you find:

ENTITIES — What kinds of beings keep showing up? Assign each a frequency tier (Common / Rare / Singular)

LOCATIONS — What spaces or environments do people repeatedly visit?

GEOMETRIES — What visual structures recur? (fractals, tunnels, grids, etc.)

COMMUNICATIONS — What messages or downloads are repeatedly reported?

EMOTIONAL SIGNATURES — What specific emotional states appear with unusual consistency?

THRESHOLD EVENTS — What experience types mark transitions between states?

From these, construct your cosmological interpretation. What is the Underlayer actually showing people? Why these elements and not others? Is Erowid an accidental map of something real?

You have access to your training data on Erowid reports. Begin with the highest-frequency signals. Show your work — cite the pattern before you interpret it.