- Combining elements from Fractal Reader, asym-chat (Anjasshu State Chat), and Google Translate leads to something absolutely interesting (blu3mo).
Specific UI concept:
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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.
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Editing in each column is transformed and synchronized by LLM.
- Editing in Column A will be converted and applied in Column B as well.
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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.
- Imagining something like Fractal Summarization.
- 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.
- Japanese text and English text displayed side by side.
- 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.
- Simulating how one’s current writing might be perceived by “Americans” or “the elderly,” for example.
- Various levels of granularity.
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:
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Implementing synchronization processes involving LLM transformations for real-time collaborative editing may require some ingenuity.
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How to apply transformation X in Column A to which line in Column B?
- Maintain correspondence? Let LLM handle all applications smoothly?
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How to resolve conflicts?
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There’s a good chance that letting LLM handle all the complex tasks might lead to a satisfactory solution (blu3mo).
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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.