> An LLM, could not, for example, definitively come up with the three laws of planetary motion like Kepler did (he looked at the data)

You could use Symbolic Regression instead, and the LLM will write the code. Under the hood it would use a genetic programming library like with SymbolicRegressor.

Found a reference:

> AI-Descartes, an AI scientist developed by researchers at IBM Research, Samsung AI, and the University of Maryland, Baltimore County, has reproduced key parts of Nobel Prize-winning work, including Langmuir’s gas behavior equations and Kepler’s third law of planetary motion. Supported by the Defense Advanced Research Projects Agency (DARPA), the AI system utilizes symbolic regression to find equations fitting data, and its most distinctive feature is its logical reasoning ability. This enables AI-Descartes to determine which equations best fit with background scientific theory. The system is particularly effective with noisy, real-world data and small data sets. The team is working on creating new datasets and training computers to read scientific papers and construct background theories to refine and expand the system’s capabilities.

https://scitechdaily.com/ai-descartes-a-scientific-renaissan...

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