High-energy physics relies on massive statistical datasets

Discovering subatomic particles requires smashing protons and algorithmically filtering through petabytes of noise to find a statistically significant signal. Because it relies heavily on pattern recognition, it mirrors how LLMs act as probabilistic reasoning engines.¹

Footnotes

1. CERN. (2012). Observation of a new particle in the search for the Standard Model Higgs boson. ↩