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    Geodesic Lab is building toward an AI-biology feedback loop

    A person at Geodesic Lab proposes turning lab results into semi-synthetic training data to improve an AI model.

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    TLDR

    A person at Geodesic Lab says the team is building toward a cycle of designing in silico, testing in a wet lab, using experimental feedback as semi-synthetic training data and improving the model. They suggest biology could become a frontier for recursive AI self-improvement.

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    1 Source, first seen 2h ago

    Combined views

    28.6K

    1 Source, first seen 2h ago

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    @QuanquanGuBiology could be AI’s next recursive self-improvement frontier. Design in silico → test in the lab → turn experimental feedback into semi-synthetic training data → improve the model → repeat. At @Geodesiclab , we’re building toward that flywheel. The wet lab becomes part of the learning algorithm.2h