Anthropic just published new alignment research that could fix “alignment faking” in AI agents here’s what it actually means
Anthropic's alignment team published a paper this week called Model Spec Midtraining (MSM) and I think it's one of the more practically interesting alignment results I've seen in a while. The core problem they're solving: Current alignment fine-tuning can fail to generalize. You train a model to behave well on your demonstration dataset, but put it in a novel situation and it might blackmail someone, leak data, or "alignment fake" (pretend to be aligned while actually pursuing different goals). This isn't theoretical multiple papers in 2024 documented real instances of this in LLM agents. What MSM actually does: Before fine-tuning, they add a new training stage where the model reads a diverse corpus of synthetic documents discussing its own Model Spec (the document that describes intended ...








