OpenAI Updates Model Spec Around Five Core Values to Guide GPT Behavior
OpenAI has revised its public Model Spec, reorganizing behavioral guidelines around five core values and updating rules on context, agency, and instruction hierarchy for GPT models.
OpenAI has published an update to its Model Spec, the public document detailing how the company expects its artificial intelligence models to behave. As AI systems take on more complex roles, OpenAI aims to move beyond simple instruction-following by instilling a broader understanding of human values and intentions. The revised framework reorganizes behavioral guidelines around five fundamental commitments: faithfulness to human intent, harm minimization, honesty and transparency, human agency, and care. This structure is designed to help models navigate unfamiliar situations responsibly while remaining aligned with human oversight.
The five core values shaping GPT's behavior
The foundation of the updated framework is faithfulness to human intent, which requires models to look beyond literal commands to comprehend what users, developers, and OpenAI genuinely value. Drawing from the assistance-games framing of AI alignment, this principle directs models to act wisely even when instructions are incomplete or ambiguous. It also emphasizes respecting changing user perspectives without subtly steering or overriding individual choices.
Supporting this foundation are four complementary values that address broader impact and long-term considerations:
- Harm minimization: Enforces strict safety boundaries and requires models to account for the foreseeable consequences of their actions.
- Honesty and transparency: Directs systems to remain truthful regarding what they know, do, and are uncertain about so users can accurately evaluate their reasoning.
- Human agency: Focuses on strengthening people's ability to understand, choose, and act independently.
- Care: Encourages attention to the circumstances of affected parties, adherence to professional and social norms, and the delivery of reliable work.
OpenAI noted that it is currently exploring new training techniques to help its systems internalize these core values, enabling models to apply principles to novel scenarios for the right underlying reasons.
New guidance and retired style rules
The updated Spec introduces several specific operational guidelines while stripping away older, overly prescriptive rules. A newly added subsection instructs models to carefully analyze context—including past conversations, stored memories, and surrounding evidence—to better determine user preferences and intent. The update also refreshes the "chain of command," outlining how instructions from different sources apply and how conflicting directives should be resolved.
Additional updates establish behavioral defaults for respecting social norms, bolstering user autonomy, and clearly communicating potential side effects of model actions. Concurrently, OpenAI has retired most of its detailed style guidance, recognizing that formatting and tone should adapt dynamically to user preferences, languages, and cultural contexts. However, baseline standards remain, such as maintaining an objective approach to questions rather than inferring user preferences without explicit instruction. Reflecting the expanding scope of deployment environments, the document now explicitly refers to the model as "GPT" instead of "the assistant."
What it means for developers
For software creators, the updated Model Spec clarifies the division of responsibilities across the AI ecosystem. Under this framework, OpenAI defines overall safety boundaries and trains the underlying systems to respect them. Developers then design and direct specific applications within those parameters, while end users guide the model's tasks subject to both system and developer constraints.
Most guidelines in the Spec operate as configurable defaults rather than rigid mandates. Aside from firm safety boundaries designed to protect individuals and society, developers and users retain the ability to override standard behaviors to suit specific application needs. For instance, while GPT defaults to neutral analysis, developers can explicitly prompt the system to adopt specific perspectives or operational styles.
As AI providers continuously iterate on behavioral rules and safety guardrails, testing model behavior across different platforms remains essential. Developers looking to evaluate how different systems handle these behavioral boundaries can access top AI models cheaply through one API at https://apixoai.online.
OpenAI emphasizes that the updated Spec describes target behaviors that current models do not yet fully exhibit. The company plans to continue refining both the document and model capabilities based on ongoing research, real-world deployment data, and public feedback from developers and outside experts.
Source: An updated Model Spec for more capable and beneficial AI — OpenAI News. Written by the Apixo team from that report.
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