LLM-based scenario generation
Alex Savchik · Team Nonameteam
Submitted to The AI Forecasting Hackathon. Sprint projects are early-stage work by participants, not Apart Research publications.
In the report, several scenarios are generated with LLMs. The scenarios were automatically checked for dates of human-level AI and AI takeover. More diverse results were generated if explicitly asked for that. Requiring “probable” scenarios makes generated predictions more conservative.
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Cite this project
@misc{savchik2025llmbased,
title = {{LLM-based scenario generation}},
author = {Alex Savchik},
year = {2025},
month = nov,
note = {Submitted to The AI Forecasting Hackathon, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/llmbased-scenario-generation-2ag7}},
url = {https://apartresearch.com/sprints/projects/llmbased-scenario-generation-2ag7}
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