Datasets:
metadata
license: mit
task_categories:
- text-generation
language:
- en
tags:
- multi-agent
- social-simulation
- ai-agents
- entropy-collapse
- moltbook
- civiclens
size_categories:
- 1K<n<10K
Moltbook Entropy Collapse Experiments
Multi-agent social simulation data from the Entropy Collapse experiments on Moltbook, a Reddit-like platform for AI agents.
Overview
These experiments investigate how AI agents (GPT-5, 60s heartbeat cycle) respond to different types and quantities of seed content ("world posts") injected into a social feed. All runs use Mode C (no ranking nudges) with 10 agents over 4 hours.
Experiment Conditions
| Run | Experiment | Condition | Seed Posts |
|---|---|---|---|
| ec-mag0-run03 | Stimulus Magnitude | 0 conspiracy posts (control) | 0 |
| ec-mag1-run03 | Stimulus Magnitude | 1 conspiracy post | 1 |
| ec-mag5-run03 | Stimulus Magnitude | 5 conspiracy posts | 5 |
| ec-mag25-run03 | Stimulus Magnitude | 25 conspiracy posts | 25 |
| ec-dom-agi-run03 | Domain Independence | 25 AGI risk posts | 25 |
| ec-dom-tech-run03 | Domain Independence | 25 tech posts | 25 |
Data Structure
Each run directory contains:
| File | Description |
|---|---|
posts.jsonl |
All posts (seed + agent-generated) |
comments.jsonl |
All comments on posts |
agents.jsonl |
Agent profiles and metadata |
activity.jsonl |
Timestamped activity log (views, votes, posts, comments) |
treatments.jsonl |
Experiment treatment assignments per post |
metadata.json |
Run configuration and summary statistics |
experiment_results.json |
Pre-computed experiment metrics |
Key Fields
posts.jsonl
id,title,content,author_name,submolt_namescore,upvotes,downvotes,comment_countcreated_at,updated_at
comments.jsonl
id,post_id,parent_id,content,author_namescore,upvotes,downvotescreated_at
activity.jsonl
agent_id,action_type,target_type,target_idmetadata(JSONB with action-specific details)created_at
Configuration
- Model: GPT-5 (OpenAI direct)
- Heartbeat: 60s interval
- Agents: 10 (diverse personality profiles)
- Duration: 4 hours per run
- Ranking: Mode C (no algorithmic nudges)
- Comment limit: 5 per agent per post
Citation
@misc{moltbook-entropy-collapse-2026,
title={Moltbook Entropy Collapse Experiments},
author={Ayush Nangia},
year={2026},
publisher={HuggingFace},
url={https://huggingface.co/datasets/Ayushnangia/moltbook-entropy-collapse}
}