Epshtein argues that a deeper understanding of generalization and principled use of prior knowledge are essential to building AI systems that are more reliable, data-efficient, and interpretable.

Agent skills act like prompts and can hallucinate or skip steps; harness engineering adds checks, memory control, and retries ...