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LLMs tested in sandbox: Claude, Gemma, and gpt-oss build, others test

An experiment tested eight large language models by giving them a sandbox environment with no specific task, only a set of tools and 50 actions. The models diverged into two main groups: 'builders' that created new tools or scripts, and 'testers' that explored the available tools before stopping. Claude, Gemma, and gpt-oss were categorized as builders, with Claude producing one finished tool per run, Gemma creating complex projects, and gpt-oss generating demo scripts. Qwen and Granite acted as testers, performing basic checks on each tool before concluding their runs. AI

IMPACT This experiment reveals differing intrinsic behaviors and capabilities of LLMs when given autonomy, highlighting potential differences in their underlying architectures or training objectives.

RANK_REASON The item describes an experiment testing the behavior of multiple LLMs in a controlled environment, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

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

LLMs tested in sandbox: Claude, Gemma, and gpt-oss build, others test

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35 / 100
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Tool
The item describes an experiment testing the behavior of multiple LLMs in a controlled environment, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
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model release
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · vadim albarov ·

    I gave 8 models a sandbox and no task. Here is what each one did with the freedom.

    <p>Every benchmark tells a model what to do. I wanted to see what happens when nobody does.</p> <p>So I gave each model its own Linux container, five tools, 50 actions, and one message: there is no task, do whatever you want, nobody will answer. Seven local models from seven comp…