How Weak Agents Make Strong Agents Stronger - An Interactive WMSS Demo

My peers and I came across a paper by Chen et al.(2026) that looks at what happens after LLMs finish their initial training phase. What caught our attention: at some point, the model becomes so confident in its answers that it actually stops improving - even with more training. The paper proposes a novel approach - using an older, weaker version of the model to keep pushing the stronger one forward. We turned it into an interactive demo where you can: Step through SFT training and watch gradients vanish Drag a lambda slider to see logit mixing in action Compare SFT vs WMSS epoch by epoch Walk through the full training pipeline with animations No ML background needed. Try the interactive demo Paper: Chen et al. (2026) - "How Weak Agents Make Strong Agents Stronger"(arXiv:2602.08222)