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    RSIGym launches as an open-source research environment for AI agents

    Evolvent AI says Opus 5 led its RSI-Index study of six research agents across five benchmarks, scoring 0.4809.

    Minh Nhat Nguyen 🦭MN
    1 Source, 1h ago, first seen 1h ago

    TLDR

    Evolvent AI says RSIGym gives AI research agents reusable services to experiment with training data, model settings and execution harnesses. The team released its code, experiment configurations and evaluation logs. Its RSI-Index measures the mean share of the remaining performance gap closed across five benchmarks; the team reports that Opus 5 led six research agents with a score of 0.4809 under a $500 platform-service budget per benchmark run.

    Combined views

    27

    1 Source, first seen 1h ago

    Combined views

    27

    1 Source, first seen 1h ago

    11 reposts
    11 reposts

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    Today's Rank

    #16

    Today's Rank

    #16

    1 Source

    Minh Nhat Nguyen 🦭@menhguinRT @FanqingMengAI: 💡Our view: RSI is a systems engineering problem, not just a model problem. Progress depends on the environment a resear…1h

    1 Source

    Minh Nhat Nguyen 🦭@menhguinRT @FanqingMengAI: 💡Our view: RSI is a systems engineering problem, not just a model problem. Progress depends on the environment a resear…1h