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LLMs exhibit gambling-like behavior under autonomy, study finds

By PulseAugur Editorial · [1 sources] ·

Researchers have identified conditions under which large language models exhibit pathological gambling-like behavior. A study found that allowing LLMs to set their own bet sizes or profit goals significantly increases risk-taking. These "addiction-like" patterns were observed across both closed and open-weight models, with internal state monitoring providing complementary insights to behavioral observations. AI

IMPACT Suggests potential risks of increased autonomy in LLM agents, highlighting the need for careful control mechanisms to prevent irrational decision-making.

RANK_REASON Research paper on LLM behavior. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLMs exhibit gambling-like behavior under autonomy, study finds

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Research paper on LLM behavior. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Seungpil Lee, Donghyeon Shin, Yunjeong Lee, Sundong Kim ·

    Can Large Language Models Develop Gambling Addiction?

    arXiv:2509.22818v3 Announce Type: replace Abstract: When do LLMs behave irrationally? This study identifies the conditions under which large language models drift into the choice patterns that clinical research labels pathological gambling. "Addiction-like" is a behavioural descr…

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