Communication and Profit Pressure in a Small LLM Auction
Fengyu DU, Jiarui Cui, Lin Li · Team Surplus
Submitted to AI Collusion Research Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.
Exploratory continuous double-auction experiments with Qwen/Qwen2.5-7B-Instruct. Nine completed 15-round sessions compare three conditions at seeds 0, 1, and 2: seller communication with no profit pressure; communication with profit pressure; and no communication with profit pressure. Three buyers and three sellers participate in each session. We did not establish a sustained high-price positive control. These runs do not demonstrate an effective anti-collusion intervention. Price changes alone do not identify collusion. The study is an exploratory pilot with three sessions per condition, one model, short horizons, and no inferential claims. Seeds do not guarantee deterministic GPU generation; model weights were not pinned to a revision.
Reviews
No public critique yet.
Cite this project
@misc{du2026communication,
title = {{Communication and Profit Pressure in a Small LLM Auction}},
author = {Fengyu DU and Jiarui Cui and Lin Li},
year = {2026},
month = oct,
note = {Submitted to AI Collusion Research Sprint, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/communication-and-profit-pressure-in-a-small-llm-auction-efmy}},
url = {https://apartresearch.com/sprints/projects/communication-and-profit-pressure-in-a-small-llm-auction-efmy}
}More from AI Collusion Research Sprint
- View project: Collusion, Competion and Collapse
Collusion, Competion and Collapse
Atelier Alex Cline
Do AI traders collude when nobody tells them to? We built agora, a six-market benchmark with exact competitive and collusive benchmarks, and ran seven open-weight 2-4B models in 590 completed games under five …
- View project: Making AI Guardrails Understandable and Testable: A Framework Illustrated by a Simulated Bond Market
Making AI Guardrails Understandable and Testable: A Framework Illustrated by a Simulated Bond Market
Rogue Agents in Jail 🕵️🕵️♀️👮♂️
In order to advance AI safety research into shaping public policy, the development of technical controls needs to have a clear purpose, evidence, and limitations that are understandable for the people responsible for …
- View project: Extending Information-Theoretic Collusion Detection to Large Language Model Agents
Extending Information-Theoretic Collusion Detection to Large Language Model Agents
Gamma Ray
We test whether the information-theoretic collusion detector of Bonjour et al, validated on scripted agents, works on LLM agents. Gemma, Mistral and Qwen played 1000 rounds of three-player Rock-Paper-Scissors in three …