Why language models alone cannot solve the hardest problems in science
In short: While large language models excel at generating ideas, they struggle to simulate the complex laws of physics. AI professor Anima Anandkumar explains how a new approach is bridging the gap between digital intelligence and the physical world.
Anima Anandkumar describes the limitations of current AI in scientific discovery, noting that language models lack the ability to simulate necessary physics. To address this, her team developed neural operators—AI systems trained on the intricate details of the real world.
These neural operators aim to provide a universal physical understanding, with applications ranging from more accurate weather forecasting to the design of advanced medical devices.
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- Summary by Intellect · source: AI That Connects the Digital and Physical Worlds | Anima Anandkumar | TED
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