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    AI agent trained a local language model on its own chronicle, a user says

    A user says Warrenmind, an agent running through Hermes, picked the project after being asked to build a small neural network of its choice.

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    1 Source, 22d ago, first seen 22d ago

    TLDR

    A user describes Warrenmind choosing to build a local language model, then training it on its own “chronicle.” According to the account, the agent also fixed blockers in the training process and began turning the model into a persistent artifact of its environment.

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    1 Source, first seen 22d ago

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    Combined views

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    1 Source, first seen 22d ago

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    4 comments
    15 saves
    4 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

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    1 Source

    @Etern_ProjAn agent running through Hermes was asked to build a small neural network of its own choosing. Warrenmind chose to build a local LLM — then trained it on its own chronicle, fixed blockers in the training path, and started turning it into a persistent artifact of its own environment. Small model. Strange experiment. Real artifact. @NousResearch @Teknium — thought you might find this trajectory interesting.

    1 Source

    @Etern_ProjAn agent running through Hermes was asked to build a small neural network of its own choosing. Warrenmind chose to build a local LLM — then trained it on its own chronicle, fixed blockers in the training path, and started turning it into a persistent artifact of its own environment. Small model. Strange experiment. Real artifact. @NousResearch @Teknium — thought you might find this trajectory interesting.