The latest articles on DEV Community by Haoming Koo (@haoming_koo). https://dev.to/haoming_koo https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3838490%2F024bdda4-aca4-4d09-bb10-b36ae0f54c51.png https://dev.to/haoming_koo en Haoming Koo Sun, 22 Mar 2026 14:50:45 +0000 https://dev.to/haoming_koo/how-weak-agents-make-strong-agents-stronger-an-interactive-wmss-demo-38bk https://dev.to/haoming_koo/how-weak-agents-make-strong-agents-stronger-an-interactive-wmss-demo-38bk <p>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.</p> <p>What caught our attention: at some point, the model becomes so confident in its answers that it actually stops improving - even with more training.</p> <p>The paper proposes a novel approach - using an older, weaker version of the model to keep pushing the stronger one forward.</p> <p>We turned it into an interactive demo where you can:</p> <ul> <li>Step through SFT training and watch gradients vanish</li> <li>Drag a lambda slider to see logit mixing in action</li> <li>Compare SFT vs WMSS epoch by epoch</li> <li>Walk through the full training pipeline with animations</li> </ul> <p>No ML background needed.</p> <p><strong><a href="https://kooexperience.com/blog/posts/wmss-demo.html" rel="noopener noreferrer">Try the interactive demo</a></strong></p> <p>Paper: Chen et al. (2026) - "How Weak Agents Make Strong Agents Stronger"(arXiv:2602.08222)</p> machinelearning ai visualization beginners