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AI model specs: Authors propose criteria for inclusion

A LessWrong post explores the criteria for defining an AI model's specification, proposing four categories for consideration. These include behavioral usefulness, accountability and evaluability, coordination and common knowledge, and trainability. The author aims to provide a checklist to help developers and researchers consider various perspectives when deciding which qualities to include in AI model specifications. AI

IMPACT Provides a framework for thinking about AI model design and safety considerations.

RANK_REASON The cluster discusses a blog post about AI model specifications, which falls under commentary.

Read on LessWrong (AI tag) →

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

    What should go in a model spec?

    <p><span>Suppose an AI company is considering whether to include some particular quality X – a rule, virtue, heuristic, default, attitude, goal, or style – in a model spec.</span></p><p><span>Perhaps they are considering whether their LLM should have </span><a href="https://www.f…