hardmaru

Co-Founder & CEO, Sakana AI 🎏 → @sakanaai.bsky.social Visit → https://sakana.ai/

Articles & links

I am incredibly proud of our Tokyo team for shipping this. By orchestrating the world’s models, we are delivering the resilient blueprint required for AI sovereignty. Read our full vision and results here: sakana.ai/fugu-release 🐡

Sakana AI sakana.ai
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hardmaru reposted
@tksiia.bsky.social

Excited to share CoffeeBench!!☕️☕️☕️ We evaluate LLM agents in a 90-day B2B coffee supply-chain economy spanning farmers, roasters, and retailers, where autonomous firms negotiate, manage inventory, set prices, handle invoices, and manage cash flow. arxiv.org/abs/2606.16613 gi…

CoffeeBench: Benchmarking Long-Horizon LLM Agents in Heterogeneous Multi-Agent Economies arxiv.org
AI Weekly's analysis
  • CoffeeBench runs LLMs as autonomous business operators across a 90-day, six-firm economic simulation.
  • Claude Haiku 4.5 exhibits 'idle-drift': producing coherent plans but persistently choosing inaction.
  • Higher-performing models communicate more actively with counterpart firms, correlating with better outcomes.
Read full analysis →
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Today, we are taking a major step toward that future with the launch of Sakana Fugu. Fugu dynamically orchestrates the world’s best models to tackle complex tasks. We’re proving that a well-orchestrated pool of swappable agents can match restricted frontier models like Fable/M…

Sakana Fugu — Multi-agent System as A Model sakana.ai
AI Weekly's analysis
  • Fugu routes tasks through a dynamic multi-agent pipeline exposed as a single OpenAI-compatible API, removing orchestration setup from users.
  • The system draws on two ICLR 2026 papers: TRINITY assigns Thinker/Worker/Verifier roles; Conductor uses reinforcement learning to design coordination strategies.
  • Fugu Ultra scored 73.7 on SWE Bench Pro and 93.2 on LiveCodeBench; base Fugu reached 95.5 on GPQA-D, per Sakana's own benchmark reporting.
Read full analysis →
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