AI for Creatives

1️⃣ - Intro

Thursday, 11/14
- Never Alone: Presentation and Discussion of Student Work
Tuesday, 12/3
- Letter to My Future: Presentations and Discussion of Student Work
Thursday, 12/12
- Final Project Presentation

How the AI work for me? Agent: take tasks and go on on its own (autonomous自主的)

Class Slides: Consciousness, Intelligence, Creativity

1. Consciousness
- Human Consciousness: awareness of self, free will
- Key points:
  - Automatic reactions vs. self-awareness and having choices, or “free will”
  - Daniel Dennett’s Dangerous Idea on AI autonomy and cultural values
  - Do AIs have free will?
- Relevant questions:
  - Can machines have consciousness?
  - Do machines have the right to knowledge?
  - Can we create consciousness for bots?
2. Intelligence
- AI = Intelligence on demand: Ability to acquire and apply knowledge, measurable externally
- Key points:
  - AI vs. AGI (Artificial General Intelligence)
  - AGI has more autonomy, closer to human intelligence, while current AI operates within pre-set limits
- Relevant questions:
  - How does autonomy in AGI differ from current AI systems?
3. Creativity
- Creativity (definition): The use of imagination or original ideas in artistic works
- Key points:
  - Inspiration → Creation → Curation (ability to integrate, editorial skills, aesthetic judgment)
  - More accessibility: Allowing people to access skills they lack
- Relevant questions:
  - Is creativity important in AI?

Class Slides: Consciousness, Intelligence, Creativity

How AI Presents Itself Across Different Art Forms
- Exploration of AI’s role and presentation in various art forms.
Creative Biosphere
- Concept of letting the project interact with itself or its environment.

Class Slides: Text-to-image AIs Workshop

Fun thing to do: Try asking an image generator to create an image using a prompt: Lyrics-based Prompt

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1. Working with Parameters

Basic Parameters:
- 1. Aspect Ratio
  - Usually it being trained in Landscape or Portrait.
- 2. Steps
  - The number of iterative steps the model takes to generate an image.
    - Effect:
      - Lower Steps: Faster generation but may lack detail.
      - Higher Steps: Slower but produces more detailed and refined outputs.
- 3. Guidance Scale
  - Listen to my instructions.
- 4. Negative Prompt
  - What is not expected in the generated version.
- 5. Seed
  - Same seed: Output same result.
2. Helpful Tools
- Image Generator: Mage.space
- Understanding What the Model Sees: CLIP Interrogator

1. AI Agents
- Definition: Work autonomously; generate solutions independently.
  - Examples:
    - Work similarly to nature.
    - Example project: Generative Agents: Interactive Simulacra of Human Behavior.
2. The Future of AI
- Agentic AI: Agents act on behalf of humans.
3. Current Website Layouts & Function Design
- Built with human intentions at the core.
- The infrastructure of the web is evolving.
4. Anyone Can Be a Designer
- Concept: Breaking a plate → Repetition of patterns.
5. Ideal Studio Vision
- Goal: Assemble a diverse team for collaborative problem-solving.
  - Process:
    1. Supervisor (Me): Define the mission.
    2. AI Agents: Provide solutions.
1. Create an agent in ChatGPT: Create companion to coworking

Class Slides: No-code tool for designer!