Asymmetric Editor

• Combining elements from Fractal Reader, asym-chat (Anjasshu State Chat), and Google Translate leads to something absolutely interesting (blu3mo).

Specific UI concept:

• Multiple columns where the text in each column can be collaboratively edited.

  • Similar to asym-chat (Anjasshu State Chat), but more like Google Docs than a chat.

• Editing in each column is transformed and synchronized by LLM.

  • Editing in Column A will be converted and applied in Column B as well.

• What kind of transformations could be possible?

  • Various levels of granularity.
    • Imagining something like Fractal Summarization.
      • For instance, the main text and a three-line summary displayed side by side.
      • Editing the main text will reflect changes in the three-line summary, and vice versa.
  • Various languages.
    • Japanese text and English text displayed side by side.
      • Editing one will…
    • It seems very useful to have Japanese and English speakers collaborate.
      • It seems plausible but hasn’t been seen before.
  • Various topics.
    • Similar to asym-chat (Anjasshu State Chat).
    • Abstracting a concept and converting it to a different topic.
      • For example, looking at a problem in system design from the perspective of organizational design might spark solutions.
  • Various cultures.
    • Simulating how one’s current writing might be perceived by “Americans” or “the elderly,” for example.
      • By observing and adjusting from different perspectives, the original text can be refined.

Benefits:

• Facilitating collaboration and mutual understanding across cultures.
  • —> This part is with Ari-sensei.
• Even when used alone, it aids in conceptual manipulation, thinking, and writing.
  • It becomes an experience of examining and refining a text from various angles and granularities.
  • Using this for organizing thoughts or writing seems intriguing.
  • —> This part is for lab use.

Implementation:

• Implementing synchronization processes involving LLM transformations for real-time collaborative editing may require some ingenuity.

• How to apply transformation X in Column A to which line in Column B?

  • Maintain correspondence? Let LLM handle all applications smoothly?

• How to resolve conflicts?

• There’s a good chance that letting LLM handle all the complex tasks might lead to a satisfactory solution (blu3mo).

• If spatial and experiential information can be converted into language, this mechanism could be applied.

  • Imagining the processing of space being reduced to language processing.