Multiversal views on language models
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Abstract (arXiv)
The virtuosity of language models like GPT-3 opens a new world of possibility for human-AI collaboration in writing. In this paper, we present a framework in which generative language models are conceptualized as multiverse generators. This framework also applies to human imagination and is core to how we read and write fiction. We call for exploration into this commonality through new forms of interfaces which allow humans to couple their imagination to AI to write, explore, and understand non-linear fiction. We discuss the early insights we have gained from actively pursuing this approach by developing and testing a novel multiversal GPT-3-assisted writing interface.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 1 of its 11 references that are in the map. First posted on arXiv 12 Feb 2021.
Builds on
1 of 11 references.
References · 1
- 2020Language Models are Few-Shot Learnerscited by 32,199
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Citing papers per year: 2023: 2; 2024: 2; 2025: 2.
6 papers.
- 2023Role-Play with Large Language Modelscited by 290
- 2023On the Creativity of Large Language Modelscited by 57
- 2024Simulacra as Conscious Exoticacited by 16
- 2024Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superpositioncited by 13
- 2025Palatable Conceptions of Disembodied Beingcited by 5
- 2025The Xeno Sutra: Can Meaning and Value be Ascribed to an AI-Generated "Sacred" Text?cited by 1
- 2025The Xeno Sutra: Can Meaning and Value be Ascribed to an AI-Generated "Sacred" Text?28 Jul 2025
- 2025Palatable Conceptions of Disembodied Being20 Mar 2025
- 2024Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition8 Oct 2024
- 2024Simulacra as Conscious Exotica19 Feb 2024
- 2023Role-Play with Large Language Models25 May 2023
- 2023On the Creativity of Large Language Models27 Mar 2023