{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Radio Hoosh: AI Deep Dives","title":"Trinity: Recursive Self-Improvement for Multimodal AI Agents","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/92bb01a9\"></iframe>","width":"100%","height":180,"duration":1275,"description":"We break down Trinity, a framework that maps agent skills into a capability tree, builds simulated worlds to train weak spots, and improves multimodal agents across many benchmarks.","thumbnail_url":"https://img.transistorcdn.com/BWBYhIwkLiIxtqfByq6uGKim884ybzC5u2HV6f8PH7I/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80ZGI1/YzBmMzI3ZTBkMGVi/ZTA3MzY1NTRlNDM0/MDM3My5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}