OpenAI released "Inside our approach to the Model Spec" to further explain the positioning of Model Spec. The framework is used to publicly define how models should obey OpenAI, developer and user instructions, how to order in conflicts, and how to preserve user freedom and developer control within the security perimeter. OpenAI also emphasized that this is not a guarantee that the performance of existing models is "fully achieved", but rather a goal of continuous training, evaluation and revision.
In terms of content structure, Model Specs include high-level objectives, hard rules that cannot be overridden, default behaviors that can be adjusted by explicit instructions, and decision guidelines and examples for gray area judgment. OpenAI said that the hard rules are mainly aimed at serious harm, illegal risks and chain of instruction destruction; The default behavior covers authenticity, objectivity, style, and quality of completion. This document is also not the same as the complete product rules, and actual use is still subject to product functions, monitoring mechanisms and usage policies.
FAQs
Q: What is OpenAI's Model Spec?
A: It is a public framework that describes the expected behavior of a model, not just a product description page.
Q: Why did OpenAI make Model Spec public?
A: The purpose is to improve transparency, facilitate external discussions, and facilitate internal training and governance collaboration.
Q: How does Model Spec handle instruction conflicts?
A: It uses a directive-hierarchical mechanism that prioritizes compliance with rules and requirements for higher privileges.
Q: Does Model Spec mean that the model is running exactly according to the rules?
A: No, OpenAI has made it clear that this is more like a continuously approaching goal.
