Problem
To know the world one must construct it. -- Pavese
With software deeply embedded in everyday life and the rapid advancement of large language models (LLMs), there is a growing need for interfaces that amplify user agency and encourage personalized interaction, rather than mere automation. Existing conversational interfaces (CUIs) often struggle with complex tasks and the structuring of extensive information, especially affecting creative writers like engineers who seek coherent, non-linear thought exploration. To address this challenge,
Link to originalmorph
aims to introduce novel spatial and visual interfaces for text generation to enhance cognitive exploration and creativity in writing.
The following includes a few shortcut for capstone portion of morph
:
- Design contains specification for the project.
- Development Plan covers the development plan for the next 8 months of
morph
. - Hazard Analysis with regards to existential risks of
morph
. - Software Requirements Specification specifies the requirements for
morph
.
See also: References | Glossary
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acknowledgements
I want to give my gratitude to the following individuals/organisations for their works and guidance for
morph
:
- EleutherAI
- Linus for his general exploration in machine-native interfaces, as well as his initial discussion and recommendations.
- Neel Nanda spearheading the field of mechanistic interpretability
- Anthropic Interpretability Team’s Transformers Circuit threads
- Google DeepMind Interpretability Team.