I remember being excited about Fable that we finally have a chungus model like GPT 4.5 that can write great prose Oh how naive I was. RLVR or something else in posttraining introduced since ruins models' ability to speak in an understandable tone I have just STRUGGLED trying to make Fable write an abstract, and had to write it myself at the end. We have AGI, but it cannot write an abstract :( I wonder whether the labs are already planning to fix this? Like checking for unreadable writing can easily be made deterministic, with a readability score and such. Though adding a reward over that would probably make things worse, so I'm not sure Like some of these issues must be easy to fix. Consider "sentence parade", where each sentence in a paragraph is completely detached from each other. Like "A does B. C is D. E does F" and so on. For example: > The run reaches 30% of the ceiling. Decode reached 77% to 86% of its bound. The gap says software is the limit. Sustained FLOP/s sits below the bracket. Here is a vibeslopped script which detects such cases with spacy, with surprisingly high precision: github.com/osolmaz/ai-smell/blob/main/analyze_c… I was reading @ben_burtenshaw's preview of his Post-training book---might be a fun weekend project, training a small model for increasing readability