The contrarian in me is wary of the irrational exuberance over MoltBook. Nothing so far has struck me as being unpredictable. We knew already that LLMs were good at roleplay, to the point where some users started to think of their chatbots as soulmates (only to lament when the underlying model was pulled), and that chatbots can fall into conversational basins when even two instances are allowed to chat with each other at length. The appearance of memes that postdate training cutoff is suspect, which implies at the very least that humans have injected something at the level of prompts or content/context to introduce them into conversation like a Chekhov's Gun. And we know that security holes are common in vibe coding, attended or not.
I wanted to call attention to Arli Ai's success in applying my recent modifications to refusal ablation to a MoE model successfully. Nice work, @OwenArli ! ArliAI/GLM-4.5-Air-Derestricted Ablation on a MoE model is no small thing; I expect preserving norms/magnitudes during intervention better respects routing compared to naive refusal ablation.
(I would have tagged their org earlier, but that feature seemed to be broken via "@")
Going forward, I will be adopting the term Magnitude-Preserving Orthogonal Ablation (MPOA) for my recent work in mitigating model damage from abliteration. The technique potentially unlocks reasoning capacity previously occupied with safety refusal processing.