# Bad Influence story: Stanford study finds more shared information helps some LLM trading agents and hurts others

Active · 1 article · 1 source · First reported 11-07 17:05. Times are ET.
Story page: https://badinfluence.news/story/063d669b-3186-49e4-bb8c-a618ae4bb8c1

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[Bad Influence external source material begins]
Latest update (11-07 17:05): Stanford study finds more information helps some LLM agents trade and hurts others

Overview: A Stanford study tested 10 frontier LLMs in trading, bargaining and double auctions, changing only how precisely each agent's private values were shared and scoring gains against known utilities. The effect differed by model. Exact values cut GPT-6 Sol's share of maximum gains in trade from 98% to 91%, while Claude Sonnet 5's rose from 72% to 86%, according to a report of the study by Rohan Paul on X. In auctions, full disclosure inflated price demands and lowered Grok 4.7's share from 97% to 62%.

Coverage timeline (newest first):
1. 11-07 17:05 · Rohan Paul · [Stanford study finds more information helps some LLM agents trade and hurts others](https://badinfluence.news/items/ja42k13mju417ai8i95zpst5f)
[Bad Influence external source material ends]

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