AI Is Now Hiring Other AI: Is It Worth It?

A new AI model out of Japan, Sakana Fugu, does something we have not really seen before. Instead of answering you itself, it hires a team of the best AI models, gives each one a piece of the job, and merges their work into one answer. Harrison calls it a manager, or a conductor: you ask one question, and behind the scenes it quietly builds a team for you. In this episode, Harrison explains what model orchestration actually is in plain language, why he thinks this is where AI is heading, and then puts it to the test. He sends the same 8 questions to Fugu, to Claude Opus 4.8, and to GPT-5.5, and grades every answer. The result is honest, and the cost is the part that should give every builder pause. What you'll learn:- What "orchestration" means, explained simply- Why the future may be teams of models, not one genius model- What happened when a team of models went head to head with single models- The real speed and cost tradeoff, with actual numbers- The hidden tokens you pay for but never see- When an orchestrator is worth it, and when one good model is plenty- A heads-up on AI pricing and subsidies most people are not thinking about CHAPTERS0:00 A glimpse into the future0:19 What is Sakana Fugu?1:55 Not a smarter model, a manager3:30 The test: 8 questions, three models4:50 Speed: about 10x slower5:30 Cost: about 49x more expensive6:07 The hidden tokens you pay for7:20 Inside the console8:30 The questions, and why they're tricky9:06 Is a team of models worth it?9:27 When a team earns its place10:09 The verdict10:57 The subsidy nobody is talking about11:18 Where this goes next12:04 Wrap up Mentioned: Sakana Fugu — https://sakana.ai/fugu/ If you got something out of this, follow the show and send it to someone who's working to keep up with AI.