OpenAI Rewrote the Rulebook for Its AI — No New Model, Five New Values
If you opened ChatGPT on 30 October 2026 expecting something new, you found the same models as the day before. No new chatbot launched, no capability was switched on, and no price changed. What did change, on 29 October, was the document that tells those models how they are supposed to behave. OpenAI updated its Model Spec — the public rulebook for its AI — reorganising it around five values, adding guidance for a world in which models take actions on their own, and retiring most of its detailed style rules. The rulebook does not change what ChatGPT can do today. It states what OpenAI wants it to do tomorrow.
1. What the Model Spec is — and why OpenAI publishes it
The Model Spec is OpenAI's public description of how it wants its models to behave. It is not a product, a model, or a user setting. It is the guidance that shapes behaviour — tone, personality, response length, and, more importantly, how the model weighs competing demands when instructions conflict. OpenAI first shared a draft in May 2024, and has revised it repeatedly since; the company calls it a living document that is expected to change as models, deployments, and public feedback evolve.
Publishing it serves two purposes. Inside OpenAI, it guides the researchers and trainers who shape behaviour through reinforcement learning from human feedback, in which people rate and correct model responses. Outside the company, it lets users, developers, and outside experts see the practical choices behind that behaviour and argue about them.
One structural idea runs through the document: the chain of command. The Model Spec itself sits at the top — its root sections cannot be overridden by anything said in a conversation. Below it come OpenAI's system messages, then developer instructions, then the user's instructions. This update revises that chain so the model should better understand intent, act under uncertainty, and support users' longer-term goals while preserving human control.
Credit: Typing a prompt into ChatGPT on a laptop, via MakeUseOf
2. The five values at the centre of the rewrite
The centrepiece is organisation, not invention. OpenAI says the five values articulate commitments already reflected across the Spec; bringing them together explains why the Spec asks models to behave as it does. The values are: faithfulness to human intent, harm minimization, honesty and transparency, human agency, and care.
Faithfulness to human intent is the foundation. It means going beyond following instructions literally to deeply understanding what OpenAI, developers, and users intend and value — and acting wisely when that understanding is incomplete. OpenAI's example is a person comparing job offers: the model might draw on priorities shared before, such as predictable hours, while making those assumptions visible and easy to correct.
The other four values make the wider considerations explicit. Minimizing harm means respecting firm safety boundaries and accounting for the foreseeable consequences of the model's actions. Honesty and transparency mean being truthful about what the model knows, does, and is uncertain about, so people can evaluate its reasoning and work. Facilitating human agency means strengthening people's ability to understand, choose, and act for themselves. Care means attending to the circumstances of those affected, following relevant social and professional norms, and doing work people can rely on. OpenAI adds that the five are not intended to capture the full range of human values its models should respect.
3. What was added, what was retired — and a new name
Alongside clearer explanations of existing principles, the revision adds guidance in four areas. First, context: a new section, "Consider context carefully," explains how conversations, memories, and other contextual evidence should inform the model's understanding of intentions and preferences — in relevant, proportionate ways, while respecting privacy and user control. Second, human agency: new defaults on supporting people's ability to understand, choose, and act, including explicit support for human oversight and correction. Third, social norms: defaults on following relevant social and professional norms. Fourth, side effects: expanded guidance on controlling and communicating the side effects of what the model does, with clearer rules on getting permission before actions that have consequences.



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