Not too long ago, OpenAI presented a paper on their new strategy of Deliberative Alignment.

The way this works is that they tell the model what its policies are and then have the model think about whether it should comply with a request.

This is an important transition, so this post will go over my perspective on the new strategy.

Note the similarities, and also differences, with Anthropic's Constitutional AI.

How Deliberative Alignment Works

We introduce deliberative alignment, a training paradigm that directly teaches reasoning LLMs the text of human-written and interpretable safety specifications, and trains them to reason explicitly about these specifications before answering.

We used deliberative alignment to align OpenAI's o-series models, enabling them to use chain-of-thought (CoT) reasoning to reflect on user prompts, identify relevant text from OpenAI's internal policies, and draft safer responses.