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English(EN) Sequential LLM Release Facilitates Manipulation in Regulated Markets

研究发现LLM的发布可能导致市场操纵

一项新的研究论文探讨了大型语言模型(LLM)的顺序发布如何在受监管的环境中无意中导致市场操纵。该研究使用包含超过587,000个战略决策的GLEE基准进行,发现新模型的引入,即使未被广泛采用,也能将市场收益向相反方向转移。这种被称为“毒苹果”效应的现象可以改变市场动态,并可能随着技术限制而加剧,影响监管设计。 AI

影响 这项研究强调了随着LLM日益融入经济活动,受监管市场中潜在的风险。

排序理由 在arXiv上发表的研究论文,详细介绍了LLM发布对市场操纵的新颖影响。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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研究发现LLM的发布可能导致市场操纵

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在arXiv上发表的研究论文,详细介绍了LLM发布对市场操纵的新颖影响。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Eilam Shapira, Moshe Tennenholtz, Roi Reichart ·

    Sequential LLM Release Facilitates Manipulation in Regulated Markets

    arXiv:2601.11496v3 Announce Type: replace-cross Abstract: AI agents increasingly mediate bargaining, negotiation and persuasion for people and firms. Such markets extend software-mediated commerce, but add a governance problem: independent model releases change delegates availabl…