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    PhAI Labs introduces Discovery Foundation Models for scientific discovery

    A post says PhAI Labs is opening a Scientist Collaboration Program, pairing researchers’ questions, data and expert judgment with AI models, tools and analysis.

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    2 Sources, ,

    TLDR

    A post describes Discovery Foundation Models (DFM) as a research paradigm meant to help AI identify valuable unknowns and frame researchable questions, rather than only tackle predefined tasks. Its intended loop moves through explanation and intervention toward externally verified knowledge. The post says PhAI Labs’ Scientist Collaboration Program would bring together scientists’ questions, data, experimental conditions and judgment with AI models, tools and analysis, allowing investigations to be revised as evidence arrives.

    Combined views

    18.9K

    2 Sources, first seen 15d ago

    Combined views

    18.9K

    2 Sources, first seen 15d ago

    116 likes
    15d ago
    first seen 15d ago
    116 likes
    14 comments
    42 saves
    24 reposts

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    14 comments
    42 saves
    24 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    2 Sources

    @rohanpaul_aiThis is really cool. PhAI Labs just released DFM (Discovery Foundation Models), a research paradigm for AI systems meant to participate in scientific discovery. Most AI-for-science systems start after the hard choices have already been made. The question is defined. The task boundary exists. The model is asked to reason, search, or optimize inside it. But DFM (Discovery Foundation Models) targets that layer. The loop begins with a partially understood world, moves through a valuable unknown and a researchable question, then into explanation, intervention, and externally verified knowledge. PhAI Labs is opening a Scientist Collaboration Program so researchers can bring real problems So scientists bring the question, data, experimental conditions, and expert judgment. The AI side brings models, tools, analysis, and a way to keep revising the investigation as evidence arrives.

    2 Sources

    @rohanpaul_aiThis is really cool. PhAI Labs just released DFM (Discovery Foundation Models), a research paradigm for AI systems meant to participate in scientific discovery. Most AI-for-science systems start after the hard choices have already been made. The question is defined. The task boundary exists. The model is asked to reason, search, or optimize inside it. But DFM (Discovery Foundation Models) targets that layer. The loop begins with a partially understood world, moves through a valuable unknown and a researchable question, then into explanation, intervention, and externally verified knowledge. PhAI Labs is opening a Scientist Collaboration Program so researchers can bring real problems So scientists bring the question, data, experimental conditions, and expert judgment. The AI side brings models, tools, analysis, and a way to keep revising the investigation as evidence arrives.