SOURCE-LINKED INTELLIGENCE
What Should a Large Language Model See? Physical Invariants as a Data Representation for PDE Discovery
Understanding how molecular interactions govern macroscopic behaviour is a central challenge in molecular sciences. However, conventional theory building cannot keep pace with the vast datasets modern experimentation routinely produces. Large language models offer a promising route to automating theory construction, but a spatiotemporal field cannot be directly placed in a prompt. Existing models generally learn about the data only through a score measuring how well each proposal fits it. Here we introduce data interpretation, a stage that measures the field into the quantities a theorist woul
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-25T22:08:05.000Z
First collected: 2026-09-21T09:42:05.193Z. This is not the publication date.