arXiv cs.LGPaper
LLMs Can Design Near-Optimal OR Algorithms
This is a real signal for anyone running supply chain, pricing, or capacity planning: an untuned prompt plus a sandbox is now producing OR algorithms competitive with hand-tuned methods, and the trend line across model releases is steep. If you're maintaining bespoke optimization code, it's worth benchmarking your current solution against a frontier model's output this quarter. The bigger story is capability transfer from language modeling into classical applied math, which OR teams have mostly ignored.