Discussion

• @emollick Ethan Mollick on x

  The thing about o3 is that my fellow academics were literally just starting to test o1 on hard problems in their field. It showed a lot or promise. Lots of interesting discussions about how to validate and incorporate it into academic work. Then o3 is announced & it is obsolete

• @emollick Ethan Mollick on x

  The ARC benchmarking debate is obscuring the fact that test time compute seems to be the real deal based on experiments with o1 (I cover use cases & a Harvard/Stanford paper on medical uses in the post). o1 & Gemini 2 are precursors. o3 is likely better. https://www.oneusefulthin…

• @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…

• @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/ ...

• @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]

• @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.)

• @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]

• @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]

• @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

• @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]

• @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]

• @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/...

• @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…