OpenAI details “deliberative alignment”, a new method it used to make o1 and o3 “think” about its safety policy before responding, to improve overall alignment
TechCrunch Maxwell Zeff
Related Coverage
- Deliberative Alignment: OpenAI's Safety Strategy for Its o1 and o3 Thinking Models WinBuzzer
- OpenAI to advance o1 and o3 AI models with new safety training paradigm Cryptopolitan
- Sam Altman's OpenAI ChatGPT o3 Is Betting Big On Deliberative Alignment To Keep AI Within Bounds And Nontoxic Forbes
- OpenAI's o3: Progress Toward AGI or Just More Hype? Shelly Palmer
- This AI Paper from Anthropic and Redwood Research Reveals the First Empirical Evidence of Alignment Faking in LLMs Without Explicit Training MarkTechPost
Discussion
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@helloyorick.fightins.online
Yorick
on bluesky
Alignment with what though? Also, this is a fancy way of saying “we filter the model output through a software layer that edits the output.” There's no “thinking”. There's no actual change to the model. This kind of framing is deliberately obfuscating and misleading. [embedd…
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@justanotherlaw
Lawrence Chan
on x
That being said, I still think it's worth taking a quick look at this paper, to get a sense of what OAI's alignment techniques look like. It may not be a new paradigm for the world, but it might be a new paradigm for OAI. https://assets.ctfassets.net/ ...
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@justanotherlaw
Lawrence Chan
on x
In the Deliberative Alignment paper, Guan et al. take a dataset of OAI policy-violating prompts, first use supervised finetuning to distill policy specifications into the generation model, then use a rating model with access to the policy specs to RLAIF the model. [image]
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@justanotherlaw
Lawrence Chan
on x
It's also true that Anthropic's 52b model was not reasoning-RL-trained in general, and was much, much less capable. But again, I wouldn't call it a new paradigm for alignment, when the core idea is the same as before. (Alas, the paper doesn't check if hiding the CoT helps.)
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@justanotherlaw
Lawrence Chan
on x
Astute observers may notice the similarities to Anthropic's Constitutional AI paper, where they ... take a dataset of harmful prompts, sft to distill the constitution into the generation model via revisions, and then RLAIF the model using a rating model w/ access to the [image]
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@justanotherlaw
Lawrence Chan
on x
So, what does the Deliberative Alignment paper have to say about Constitutional AI? They mention it in the related work, where Guan et al. point out that Anthropic 1) trained an intermediate reward model in their RLAIF, and 2) did not sft their models on CoTs. [image]
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@boazbaraktcs
Boaz Barak
on x
The CAI paper is great but this is a wrong take. There is a fundamental difference between CAI/RLAIF and deliberative alignment, which is the difference between “system 1” and “system 2” thinking. Ultimately in CAI the generative model answering the questions does not know the
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@arankomatsuzaki
Aran Komatsuzaki
on x
OpenAI presents Deliberative Alignment: Reasoning Enables Safer Language Models Saturates many of their hardest safety evaluations and achieves a Pareto improvement on both under- and overrefusals https://openai.com/... [image]
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@justanotherlaw
Lawrence Chan
on x
Besides o3, today OpenAI also published a “new paradigm” for alignment - “Deliberative Alignment” - which, if I'm reading the paper correctly, is Anthropic's Constitutional AI approach straightforwardly applied to o1. [image]
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@stevesi
Steven Sinofsky
on x
Quite literally. Deliberative alignment: reasoning enables safer language models Introducing our new alignment strategy for o-series models, which are directly taught safety specifications and how to reason over them. https://openai.com/...
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@boazbaraktcs
Boaz Barak
on x
1/5 Excited that our paper on “deliberative alignment” came out as part of 12 days of @openai! By teaching reasoning models the text of our specifications, and how to reason about them in context, we obtain significantly better robustness while also reducing over refusals. 🧵 [ima…