Young-Jin Park

Exploring a new paradigm for reliable AI agents—moving beyond pattern matching toward systems that can reason and comprehend the physics of the world.

Treating AI coding agents as a stochastic blackbox tool—and why designing good evaluation protocols matters more than writing perfect prompts.

FAQs on calibration cost, generalization, hallucination, and connections to safe control. (Draft.)