{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"AI News Today | Julian Goldie Podcast","title":"Fugu: NEW Japanese AI DESTROYS Fable 5?","html":"","width":"100%","height":180,"duration":678,"description":"Fugu Ultra vs Fable 5 & Fusion: New Multi-Agent Panel Model Benchmarks (GoldyBench)\nThe video reviews Sakana.ai’s newly released Fugu Ultra, a multi-agent panel API that runs prompts across multiple models in parallel and fuses results via a judge, aiming for Fable 5-level outputs comparable to Fable and Mythos. The presenter shows one-shot examples (websites, animated galaxy, inner solar system), explains integration into their Agent OS alongside Fusion, and compares speed and reliability: Fugu is faster for latency while Fugu Ultra is much slower but optimized for benchmark performance. Benchmarks shown indicate Sakana outperforming Fable on several tests (e.g., Terminal Bench 2.1, GPQA Diamond, Live Code Bench), and it beat Opus 4.8 on most creations except a voxel game that failed due to 16K token truncation after a long wait. They also note strict API limits that can block usage for hours, regional access issues, and recommend using multiple models in an agentic OS for parallel work and fallbacks, with Fusion remaining top for their outputs.\n00:00 Fugu Ultra Arrives\n00:32 One Shot Demos\n01:19 How Multi Agent Fusion Works\n02:13 Agent OS Integration\n03:16 Benchmarks And Strengths\n03:57 Tradeoffs Limits And Truncation\n05:18 Leaderboard And Fusion Examples\n05:59 Speed Vs Smooth Workflow\n07:22 Pricing Access And Availability\n09:16 Best Setup And Wrap Up\n10:21 Community And Final Outro","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}