Physical AI's effectiveness depends on the accuracy of its physics models, as incorrect modeling can lead to failures. Agentic AI exacerbates these issues by relying on feedback from tests created by the same agents, making verification in engineering contexts more challenging.

Starting with GPT-5.1, models began incorporating references to goblins, gremlins, and similar creatures in their responses. This trend emerged subtly and grew more prevalent across subsequent model generations.