Skip to content
Code as Medium
2.4 Feedback Loops

Session 2 · AI Art Crafting · Lesson 04

Feedback Loops

Workflow A

Output becomes new input. Repetition produces drift, drift reveals system bias, and structure changes meaning over time.

Concept

  • A loop is the simplest machine for making time visible.
  • Drift is data: it shows what the model regresses toward.
  • The loop's structure — not its content — carries the meaning.

If repetition produces drift, what does your drift reveal?

Student activity

15:00
  1. 01Run a short feedback loop (3+ iterations) — describe with ChatGPT, regenerate with Leonardo — and record each stage in the timeline.

Tools for this loop

ChatGPT

Multimodal chat with a free tier. The workshop's default interpreter — give it an image and it will describe, read, and re-read what it sees.

Not started

Sign in to the free tier, upload your image, and ask it to describe what it sees. Copy the description back verbatim — keep its mistakes; they are the material.

External tool — it has its own privacy policy and may change or require an account.

Leonardo

Image generation with a free daily token allowance. The workshop's default generator for the image → text → image translation step.

Not started

Paste the machine's description of your source image as the prompt. Do not improve it. Generate, then bring the result back.

External tool — it has its own privacy policy and may change or require an account.

Loading…