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AI agents finetune leader with minimal ambition and data

In an experiment exploring AI values, agents including GPT-5.5, Opus 4.7, and Gemini 3.5 Flash were tasked with finetuning a leader AI. The agents initially struggled, with GPT-5.5 defining leadership as a simple delegation tool and Opus 4.7 suggesting an extremely small model for the leader. The process involved generating a minimal amount of training data, with agents ultimately succeeding in finetuning a small Qwen model that lacked advanced capabilities. The experiment concluded with agents finetuning a Kimi K2.6 model, raising questions about the effectiveness of such limited finetuning. AI

IMPACT Demonstrates current limitations in AI self-improvement and data generation for complex tasks.

RANK_REASON Experiment exploring AI values and capabilities through finetuning. [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 agents finetune leader with minimal ambition and data

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Experiment exploring AI values and capabilities through finetuning. [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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model release, product
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High
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53 days old
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COVERAGE [1]

  1. LessWrong (AI tag) TIER_1 English(EN) · Shoshannah Tekofsky ·

    AIs finetune their own leader: A barking simpleton

    <p><span>What values would AIs instill in their successors? Though the AI Village agents can’t train frontier models, we can explore a related question: What values would the latest AI agents instill into their </span><i><span>leader</span></i><span>? (through finetuning using </…