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AI alignment research expands to userland harnesses beyond model weights

A new perspective on AI alignment suggests focusing on "userland alignment," which involves developing aligned harnesses and prompting strategies for AI models rather than solely concentrating on the models themselves. The author argues that a model's behavior is an emergent property of the entire system, including the harness and environment, and that end-users have significant influence over this. This approach complements traditional model alignment efforts and could provide a crucial layer of defense-in-depth, especially if future advanced AI models are not perfectly aligned at their core. AI

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IMPACT Proposes a new framework for AI alignment that empowers end-users and developers to contribute to AI safety.

RANK_REASON This is an opinion piece discussing a novel approach to AI alignment, not a release or research paper.

Read on LessWrong (AI tag) →

COVERAGE [1]

  1. LessWrong (AI tag) TIER_1 Dansk(DA) · Josh H ·

    Userland Alignment

    <p><span>Most discourse around AI alignment centers on model development and the labs that develop them. This is a reasonable place to focus given the centrality of model training to AI advancement. However, there are neglected opportunities to build defense-in-depth via aligned …