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    AIM reportedly beats ScientistOne on two task groups

    A post describing a Google paper says AIM ranks idea themes and audits whether the code matches each idea.

    Rohan PaulRP
    1 Source, 1h ago, first seen 1h ago

    TLDR

    A user says a Google paper describes AIM, a research agent that explores both strong and untested idea themes. An auditor rejects gamed results and relabels ideas when the code no longer matches them. The user reports that AIM beat ScientistOne by 1.6 and 4.9 points on two task groups and matched its best score up to 3.1x sooner.

    Combined views

    2.3K

    1 Source, first seen 1h ago

    Combined views

    2.3K

    1 Source, first seen 1h ago

    29 likes
    29 likes
    11 comments
    16 saves
    3 reposts
    11 comments
    16 saves
    3 reposts
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    Today's Rank

    #15

    Today's Rank

    #15

    1 Source

    Rohan Paul@rohanpaul_aiNew Google paper shows research agents get better results sooner when they keep a ranked map of ideas and check that code matches each idea, so build both in. Most agents just keep editing code. When code drifts from the idea it's scored as, the agent learns the wrong lesson. AIM sorts ideas into ranked themes and splits each round between strong themes and untested ones. An auditor tosses gamed results and relabels ideas to match the code. It beat the best prior agent, ScientistOne, by 1.6 and 4.9 points on 2 task groups, and matched ScientistOne's best score up to 3.1x sooner. Expect the biggest gains on tasks with many possible approaches and few good ones.1h