Sakana Fugu
Summary
Sakana Fugu is a new tool that enables combining multiple AI models into one, inspired by the concept of 'one model to command them all'.
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Sakana Fugu (3 minute read)
Sakana AI introduces AB-MCTS, an inference-time scaling algorithm that enables multiple frontier AI models (Gemini 2.5 Pro, o4-mini, DeepSeek-R1-0528) to cooperate, significantly outperforming individual models on the ARC-AGI-2 benchmark.
Sakana Fugu
Sakana Fugu dynamically orchestrates a diverse pool of top models to tackle complex, multi-step tasks via a single API, leveraging their ICLR 2026 papers on learned orchestration to achieve frontier-level performance without single-vendor dependency.
@rohanpaul_ai: Sakana Fugu Technical Report The idea is that intelligence is moving from the model to the system around it. Fugu is an…
The Sakana Fugu technical report introduces a trained orchestrator that dynamically selects and coordinates specialist models for tasks, with a faster version (Fugu) and a slower workflow version (Fugu-Ultra) that can design custom teamwork patterns per request.
@sashimikun_void: @serenaa_ge Deepswe benchmark pls
Sakana AI announced Sakana Fugu, a multi-agent orchestration system accessible via a single model API, with the Fugu Ultra model matching frontier performance without export control risks.
Announcing Fugu-Ultra v1.1 🐡 (1 minute read)
Sakana AI introduces AB-MCTS, a new inference-time scaling algorithm that enables multiple frontier AI models to cooperate, significantly improving performance on the ARC-AGI-2 benchmark.