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I waited 25 minutes for Fugu Ultra to build a game, and this happened. 🤦‍♂️

Julian Goldie Agency23 June 2026Watch on YouTube

Part of series

Ep. 1 · Fugu Ultra Multi-Agent

Hoe Sakana.ai's Fugu Ultra parallelle multi-agent workflows mogelijk maakt in de praktijk.

View the series

Description

Sakana.ai has introduced Fugu Ultra, a new multi-agent panel model designed to rival top-tier outputs by running prompts in parallel and fusing results. However, putting this technology to the test reveals practical limitations. While the goal is to match high-end performance, users may encounter significant friction, such as hitting token ceilings during complex generation tasks. Even with advanced orchestration, real-world application shows that wait times can be extensive, and success isn't guaranteed when pushing model capabilities to the limit. #SakanaAI #FuguUltra #AIModel #TechFail #AIProgramming #LLM #Coding

What you'll learn

  • Fugu Ultra by Sakana.ai is a multi-agent model that processes prompts in parallel and fuses results
  • Long wait times and token limits are practical constraints when handling complex tasks like game development
  • Advanced orchestration does not guarantee success when pushing models to their limits

Frequently asked questions

What is Fugu Ultra and how does it work?
Fugu Ultra is a multi-agent panel model by Sakana.ai that processes prompts in parallel and fuses the results to aim for high-end output quality.
What practical problems emerged when testing Fugu Ultra?
The test revealed significant wait times and token limits that constrain the model's full capabilities, even with advanced orchestration.
Can Fugu Ultra handle complex tasks like game development?
While designed for this purpose, practical testing shows that success is not guaranteed for complex generation tasks due to token constraints.

Topics

multi-agent systemsllm performancesakana.aimodel evaluationai limitations