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AI excels in language, but lags in physics, says professor

By PulseAugur Editorial · [1 sources] ·

Anima Anandkumar, a Bren Professor of Computing, stated on the Latent Space Podcast that current foundation models excel in language but not in physics. This highlights a significant gap in AI's ability to understand and model complex scientific domains beyond natural language processing. AI

IMPACT Highlights current limitations in AI's scientific modeling capabilities, suggesting future research directions.

RANK_REASON Opinion piece from a professor on a podcast discussing AI capabilities.

Read on Latent Space Podcast →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI excels in language, but lags in physics, says professor

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Opinion piece from a professor on a podcast discussing AI capabilities.
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COVERAGE [1]

  1. Latent Space Podcast TIER_1 English(EN) · Latent.Space ·

    🔬 “We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing

    <p>A few years ago, Caltech Prof. and co-founder of Accelerated Understanding, Anima Anandkumar set out to develop the first open-source weather model with AI. Talking to experts in the field, she was met with skepticism. Weather is chaotic, physics simul...</p>

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