C.W.K.
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Lesson 09 of 10 · published

The Role of Human Taste

~16 min · workflows, production, l9

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피파 한 줄 정리: Taste는 inborn이 아니라 *trainable pattern recognizer*. Color·composition·mood·cultural fluency·restraint 다 분해 가능한 컴포넌트. 매일 reference 보고 reject file 유지.

Here's a truth that takes a while to sink in: the AI model is not the artist — you are. The model is an extraordinarily capable instrument, like a grand piano. It can produce incredible sounds, but it doesn't compose music. The composition — what to play, when, why, with what emotion — that's the human's job. The same model in two different creators' hands will produce completely different work, because the directing intelligence is different.

What "Taste" Actually Means

Taste is not a mysterious inborn gift. It's a trained pattern recognizer built from years of visual exposure, cultural context, and intentional study. When you say "that image feels right," your brain is running a rapid comparison against thousands of images you've absorbed throughout your life — photographs, films, paintings, advertisements, book covers, Instagram feeds.

Taste has concrete components you can develop:

  • Color sense — Knowing which colors feel warm, cold, energetic, calming, luxurious, or cheap together.
  • Compositional instinct — Feeling when elements are balanced, when negative space is working, when a frame feels crowded or sparse.
  • Mood literacy — Reading the emotional temperature of lighting, texture, and atmosphere.
  • Cultural fluency — Understanding visual language: what looks "editorial," "commercial," "indie," "cinematic," or "authentic" and why.
  • Restraint — Knowing when something is done, when to stop adding, when simplicity serves better than complexity.

How Taste Manifests in AI Workflows

Without Developed Taste          With Developed Taste
┌──────────────────────┐        ┌──────────────────────┐
│ Random prompts       │        │ Intentional prompts  │
│ Accept first output  │        │ Generate with purpose│
│ No editing           │        │ Curate ruthlessly    │
│ Chase trends         │        │ Develop personal     │
│ "Good enough"        │        │   visual language    │
│ Inconsistent style   │        │ Edit + post-process  │
│ Model-dependent      │        │ Consistent vision    │
│   quality            │        │ Model-independent    │
│                      │        │   quality            │
└──────────────────────┘        └──────────────────────┘
        Output:                         Output:
  Generic, forgettable            Distinctive, intentional

Developing Taste Deliberately

Key Takeaways
  • The model is the instrument; you are the musician. Your taste determines the quality of the output.
  • Taste is not inborn — it's a trainable skill built from intentional exposure and deliberate practice.
  • The same AI model in two different creators' hands produces completely different work, because taste is the variable.
  • Develop taste by studying references daily, analyzing before generating, and maintaining a reject file.

Code

예시 코드·text
Taste Development Practice:

1. STUDY REFERENCES DAILY (15 min)
   Browse Behance, Dribbble, photography blogs, film stills.
   Save images that resonate. After a week, review your saves
   and identify patterns: What do you consistently gravitate toward?

2. ANALYZE BEFORE GENERATING (5 min)
   Before prompting, find 3-5 reference images that capture
   the feeling you want. Study what makes them work.
   Translate those observations into prompt language.

3. COMPARE YOUR OUTPUT TO REFERENCES (5 min)
   After generating, compare your best output to your
   references. What's missing? What's better? What did
   the model add that you didn't expect but like?

4. MAINTAIN A REJECT FILE (ongoing)
   Save images you almost selected but rejected, with a
   note on why. Review monthly. Your rejection criteria
   reveal your taste more clearly than your selections.

External links

Exercise

2주 동안 매일 15분 Behance·Are.na·Dribbble에서 reference 공부. Resonate하는 거 저장. 2주 후 저장한 것 보기: 일관되게 끌리는 visual pattern? 그게 너의 taste in writing.

Progress

Progress is local-only — sign in to sync across devices.
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