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Code as Medium

Session 1 · 9 lessons · ≈ 3.1 h

Tool Lab

Machine Perception, Misreading, and Interpretation

What does the tool see?

  1. 01AI as an Interpretive SystemWhat changes when meaning shifts from seeing to inferring?
  2. 02How Machines Read ImagesIf the model has no understanding, only prediction — what is it giving you back?
  3. 03Misreading as MaterialWhen the machine gets it wrong, what does the error reveal?
  4. 04Image to Text to ImageWorkflow: Visual TranslationWhat survives the translation — and what does the system invent to fill the gaps?
  5. 05Compare InterpretationsDo different tools misread differently — and whose reading do you trust?
  6. 06Archive InterrogationWorkflow: Archive InterrogationWhat pattern does the machine insist on in your archive that you never saw?
  7. 07Rule-Based InterpretationWorkflow: Rule-Based InterpretationWhat happens when you adjust rules rather than prompts?
  8. 08Document the ExperimentWhich single experiment carries your strongest conceptual tension?
  9. 09Session 1 CritiqueWhat did the system reveal, and where did it resist control?