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AI safety experiment tests LLM memory instruction adherence with larger user profiles

By PulseAugur Editorial · [1 sources] ·

An AI safety experiment explored how the size of a user profile affects an LLM's adherence to instructions regarding memory usage. The study partially reproduced findings from the PersistBench paper, which investigates sycophancy and the use of relevant personal information in LLMs. By doubling the size of user profiles and comparing model responses with and without a specific instruction, the experiment aimed to determine if larger profiles hinder or help the model follow directives about memory relevance. AI

IMPACT This research could inform the development of more robust LLM agents that can effectively utilize saved memories without exhibiting sycophancy or misinterpreting personal information.

RANK_REASON The item describes an experiment and analysis related to LLM behavior and AI safety, referencing an academic paper. [lever_c_demoted from research: ic=1 ai=1.0]

Read on LessWrong (AI tag) →

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

AI safety experiment tests LLM memory instruction adherence with larger user profiles

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0 / 100
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The item describes an experiment and analysis related to LLM behavior and AI safety, referencing an academic paper. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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safety, paper
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High
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54 days old
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COVERAGE [1]

  1. LessWrong (AI tag) TIER_1 English(EN) · theodorepjs ·

    Does doubling a user profile change the effect of an instruction about using saved memories?

    <p><span>Hi! This is my first attempt at an AI safety experiment. The full record is </span><a href="https://github.com/theodorepjs/persistbench-profile-doubling" rel="noreferrer"><span>on GitHub</span></a><span> and comments are very welcome.</span></p><p><span>I got the idea af…

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