{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"AI News Today | Julian Goldie Podcast","title":"Hermes Mixture of Agents is ABSURD!","html":"","width":"100%","height":180,"duration":596,"description":"Hermes Mixture of Agents (MOA): Combine Claude + GPT with an Aggregator to Beat Frontier Models\nThe script explains Hermes’ Mixture of Agents system, which lets you combine multiple models (e.g., Claude Opus 4.8 and GPT-5.5) into a panel and choose an “aggregator” model to fuse their outputs, treating the mix as one virtual model. The presenter demos results like generating a Windows-style OS and building games, showing side-by-side comparisons where the mixture outperforms a single model, and notes they tested 42 builds viewable on Goldie Bench. It describes how MOA 2.0 works under the hood (private analysis by models, then an aggregator writes the final answer and runs tools), switching mixes with /MOA, and claims of benchmark gains (8% over Opus 4.8, 11% over GPT-5.5). Downsides include slower runtime, API reliance, and technical setup, which they simplify via their Agent OS dashboard, also featuring Fusion and Sakana-style panels, automations, memory, and access via their paid community with tutorials and coaching.\n00:00 Mixture of Agents Intro\n00:33 How the Panel Works\n01:27 Bench Tests and Demos\n02:13 Side by Side Game Results\n03:23 Tradeoffs and Limitations\n04:02 Making MOA Easy to Use\n04:45 MOA 2.0 Explained\n05:28 Fusion and the Bigger Trend\n06:34 Stop Chasing Models\n07:10 Three Systems and Why They Win\n07:37 How to Use It Today\n08:19 Agent OS and Community Pitch\n09:50 Wrap Up and Goodbye","thumbnail_url":"https://img.transistorcdn.com/Tp0JSUlyiAe2ran44b13cjk4ImQYS1QEMKCAa9Q7go0/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lNTYz/NGQxMTU2ZTM1MzU5/MDNiYjcwZjJmYTY5/ODJmOS5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}