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Howard: Top AI labs must avoid using their best models for research

Jeremy Howard proposes a method to slow AI's recursive self-improvement by having the top-ranked AI lab refrain from using its best model for frontier research. He contrasts this with Anthropic's approach, which he argues is unsafe because they are allowing themselves to use their leading model for such research while also aiming to hinder competitors. Howard advocates for democratizing AI development rather than slowing it down, but insists that if a slowdown is claimed as a goal, the leading organization must adhere to it by not using its own advanced model for further development. AI

IMPACT Proposes a specific governance mechanism for AI development that could impact research direction and power dynamics.

RANK_REASON Opinion piece by a credible voice (Jeremy Howard) on AI safety and development strategy.

Read on Simon Willison →

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COVERAGE [1]

  1. Simon Willison TIER_1 English(EN) ·

    Quoting Jeremy Howard

    <blockquote cite="https://twitter.com/jeremyphoward/status/2064595816875217362"><p>Easy solution to slow down recursive AI self improvement:</p> <ul> <li>The lab with the top-ranked model must agree THEY must not use it for working on frontier AI</li> <li>But everyone else should…