科技中的设计报告2023：设计与人工智能_42页_23mb

Design in Tech Report 2023 Summary

Core Content

The Design in Tech Report 2023 explores the transformative impact of design trends in the entrepreneurial and corporate tech ecosystems, emphasizing the role of computational design and artificial intelligence (AI). The report is sponsored by the Earth since 2018 and is a culmination of insights and experiences from various contributors and experts in the field.

Main Trends and Concepts

I. Machines Run LOOPS

• Computers excel at repeating tasks through loops, which is a foundational aspect of their operation.
• This capability is being leveraged in AI and machine learning to automate undesirable work, allowing humans to focus on more meaningful tasks.

II. Machines Get LARGE

• Embracing exponential thinking is a challenge for humans, as it is not natural.
• The rapid development of large language models (LLMs) like ChatGPT is driven by Moore's Law, which explains the exponential growth in computing power.

III. Machines Are LIVING

• The distinction between what is alive and what is not is becoming blurred with the rise of AI.
• AI systems are being trained on data that reflects historical exclusion, leading to unintended consequences in their outputs.

Computational Design and AI

A. Introduction to Computational Design

• Computational design is a new kind of design that integrates AI and machine learning into the creative process.
• It allows for value creation by combining computational power with human creativity.

B. AI in Design

• AI is not good at inclusive design because humans are not either.
• Tools like Adobe's Figma AI plugins, DALL-E, Midjourney, Runway, and others are being used to enhance design workflows.
• Obscure tools such as Uizard, NVIDIA Gaugan, and Vizcom are also gaining attention for their unique capabilities.

C. Prompt Engineering

• Prompt design is a critical skill for leveraging AI in design.
• Steps to effective prompt design include:
  1. Selecting a large language model.
  2. Creating a core prompt with specific outcomes, length, format, and style.
  3. Adding context with examples.
  4. Tuning model settings like temperature and token count.

Key Insights from the Report

1. Prompt Optimization

• Shortening prompts can reduce token usage and improve efficiency.
• Multi-task prompts can achieve multiple outcomes with a single request.
• Chain of thought prompting improves accuracy by simulating human reasoning.

2. Ethical and Societal Implications

• Foundation models are powerful but come with risks, including dual use and data poisoning.
• ELIZA by Joseph Weizenbaum is a classic example of AI's potential to create emotional bonds, highlighting the need for ethical design practices.
• The report references the Luddite movement and its parallels with current AI fears, emphasizing the importance of understanding the societal impact of technology.

3. Cultural and Design Implications

• "Culture Club" is a collective storytelling experiment with AI, aiming to explore the values and beliefs encoded in LLMs.
• Design thinking is evolving to include conversational design, where the principles of human conversation are applied to digital systems.

Conclusion

• The report underscores the need for designers to adapt to the new era of AI and computational design.
• It highlights the importance of context, cognition, and ethical considerations in the development and deployment of AI technologies.
• The "DOES NOT SPARK JOY" and "DOES SPARK JOY" categories illustrate the contrast between mundane and meaningful tasks in the workplace, suggesting a shift in how we prioritize design work in the age of AI.

Simplifying the Laws of Simplicity

TEN LAWS

1. REDUCE – Simplicity comes from thoughtful reduction.
2. ORGANIZE – Organization makes a system of many appear fewer.
3. TIME – Savings in time feel like simplicity.
4. LEARN – Knowledge makes everything simpler.
5. DIFFERENCES – Simplicity and complexity need each other.
6. CONTEXT – What lies in the periphery of simplicity is definitely not peripheral.
7. EMOTION – More emotions are better than less.
8. TRUST – In simplicity we trust.
9. FAILURE – Some things can never be made simple.
10. THE ONE – Simplicity is about subtracting the obvious, and adding the meaningful.

THREE KEYS

1. AWAY – More appears like less by simply moving it far, far away.
2. OPEN – Openness simplifies complexity.
3. POWER – Use less, gain more.

Additional Resources

• LLMs and AI tools: GitHub repositories, OFA, FLAVA
• ELIZA: 99% Invisible article
• Judgment Call: Book by Stephanie Ballard, Karen M. Chappell, Kristin Kennedy
• Design × AI survey: Contributions from numerous designers and AI enthusiasts, highlighting the evolving landscape of AI in design.

Final Thoughts

• The report encourages designers to embrace AI while being mindful of its limitations and ethical implications.
• It emphasizes the importance of context, cognition, and human values in the development of AI systems.
• The future of design lies in computational thinking, where human creativity and machine intelligence coexist and complement each other.