Via20/blind-spots-frontier-optimization

Technical Challenge: Symbolic Drift & Constraint Decay in Frontier LLMs 1. Executive Summary & Background When deploying AI for core engineering, economic, and mathematical optimization tasks (such as Karush-Kuhn-Tucker conditions or Lagrangian multipliers), calculations require rigorous multi-step invariant tracking. Drawing from practical experience building optimization pipelines, we identify an underexplored capability gap in current models: Symbolic Drift and… See the full description on the dataset page: https://huggingface.co/datasets/Via20/blind-spots-frontier-optimization.