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    Anima Anandkumar Podcast on Physical Foundation Models

    Co-founders discuss physical world models days after company emerges from stealth.

    PA
    1 Source, 26d ago, first seen 26d ago

    TLDR

    Anima Anandkumar posted on X about the first podcast since launching Accelerated Understanding last week. The episode with co-founder Benedikt Jenik discusses what a GPT-style foundation model for the physical world would look like, including claims of record-breaking 5 trillion context length, high-resolution 4D predictions for physical understanding, universality across multiple physics domains, and self-improvement using physics laws. The linked YouTube video titled Faster Chips That Don't Melt notes the company emerged from stealth days earlier and outlines commercial opportunities in semiconductors, energy, and scientific discovery.

    Combined views

    6.2K

    1 Source, first seen 26d ago

    Combined views

    6.2K

    1 Source, first seen 26d ago

    93 likes
    93 likes
    8 comments
    39 saves
    13 reposts

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    8 comments
    39 saves
    13 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @AnimaAnandkumarOur first podcast since the launch of our company Accelerated Understanding @accelerated_u last week. We go into what it means to have record-breaking 5 Trillion context length and why high-resolution 4D predictions are essential for physical understanding. We also talk about universality and achieving multiple areas of physical skill in the same model, and all the industries this will impact. What does self-improvement look like for physical AI? Watch the podcast to find out more. @bjenik @latentspacepod https://youtu.be/KS_IpnX7n9I

    1 Source

    @AnimaAnandkumarOur first podcast since the launch of our company Accelerated Understanding @accelerated_u last week. We go into what it means to have record-breaking 5 Trillion context length and why high-resolution 4D predictions are essential for physical understanding. We also talk about universality and achieving multiple areas of physical skill in the same model, and all the industries this will impact. What does self-improvement look like for physical AI? Watch the podcast to find out more. @bjenik @latentspacepod https://youtu.be/KS_IpnX7n9I