ISO: RLVR原生优化栈

ISO: An RLVR-Native Optimization Stack > **引用原帖 Hanqing Zhu (@zhu_hanqing666):** > People keep asking me: what's different about optimization in RL? > Seemingly nothing — the pre-training stack just works (Adam, even SGD 👀 @saagnikkk). > Bringing some answers from my last work (sorry for the delay — been cooking 🚀). > We introduce ISO: Isospectral Optimization: an RLVR-native optimization stack. > Built on one simple observation, spectral inheritance: RLVR can reuse the base model's spectrum and acquire new behavior purely through the singular frames. > 🧩 Offline: ISO-Merger — consolidates RL experts into one model with no data, no rollouts, no OPD. Checkpoints only. > ⚙️ Online: ISO-Optimizer — a drop-in wrapper on AdamW / Muon that matches AdamW's accuracy with ~2.7× fewer steps on Qwen3-8B-Base. > 📄 https://t.co/ty1FrAveA5 > 🌐 https://t.co/xzXf6V8ukO > 🧵👇 > https://x.com/zhu_hanqing666/status/2080020648135680215