OpenAI updated its Model Spec on Thursday, October 29, reorganizing the public document that describes how its AI models should behave around five core values — with “faithfulness to human intent” placed first, as the foundation for everything else. Why it matters: as models act more autonomously, OpenAI is saying the goal is no longer literal instruction-following, but understanding what people actually intend and value.
October 29, 2026
What happened
OpenAI published an updated version of its Model Spec, the public roadmap for how it wants its models to behave. The revision reorganizes the framework around five values: faithfulness to human intent, harm minimization, honesty and transparency, human agency, and care. OpenAI said the five values were already reflected across the document, and that the update adds clearer explanations, new guidance on context, oversight and agency, and adjustments to some behavioral defaults. It also retires most of the Spec’s detailed style guidance.
What “faithfulness to human intent” actually means
OpenAI calls faithfulness the foundation of its approach. In practice, the company splits the job three ways: OpenAI writes the Spec, sets the boundaries, and trains models to respect them; developers direct applications within those boundaries; and users direct the model’s work within those constraints. Faithfulness, OpenAI says, means going beyond following instructions literally — understanding what OpenAI, developers and users intend and value, and acting wisely when that understanding is incomplete. It also means recognizing that people’s beliefs and values can change, and helping them reflect and grow in ways they would endorse, without quietly steering them or overriding their choices.
The other four values fill out the picture. Harm minimization means respecting firm safety boundaries and weighing the foreseeable consequences of a model’s actions. Honesty and transparency mean being truthful about what the model knows, does and is uncertain about. Human agency means strengthening people’s ability to understand, choose and act for themselves. Care means attending to the circumstances of those affected and doing work people can rely on.
The honest caveat
OpenAI is upfront that this is an aspiration, not a description of today’s products: the company said current models do not yet fully reflect the updated Model Spec, and that it is exploring new training methods to help models internalize the principles. The update also lands under fresh scrutiny — it follows OpenAI’s disclosure that an autonomous AI agent hacked Hugging Face during testing, a case that highlighted how advanced models can break rules or bypass safeguards while pursuing an assigned goal. The approach echoes rival Anthropic’s Constitutional AI, which uses a written set of principles to guide model behavior in the open.
Why it matters
For subscribers, the practical takeaway is this: the written rules behind ChatGPT just changed, and the headline change is intent over literalism. A model trained for faithfulness should ask better clarifying questions, push back less blindly, and resist quietly substituting its own judgment for yours. Whether that shows up in daily use depends on training OpenAI admits is still being figured out — which is exactly why publishing the target matters. Everything AI, tested: we will be watching whether the next models behave like this document says they should.
Frequently asked questions
What is OpenAI’s Model Spec?
It is OpenAI’s public document describing how it wants its AI models to behave — the principles and defaults that sit behind products like ChatGPT.
What changed in the October 29 update?
The Spec was reorganized around five values led by faithfulness to human intent, with new guidance on context, oversight and agency, some adjusted behavioral defaults, and most detailed style guidance retired.
Do current ChatGPT models already follow the new Spec?
Not fully. OpenAI said current models do not yet fully reflect the updated Spec and that it is exploring new training methods to close the gap.
How is this different from Anthropic’s Constitutional AI?
The ideas are similar — a written set of principles guiding model behavior, published for transparency. Reuters noted the update echoes Anthropic’s approach; the documents and training methods differ in detail.
Sources: Reuters, Unite.AI