Sakana AI launched Sakana Translate, a free web-based translation tool powered by its Namazu model series, supporting bidirectional translation among Japanese, English, and Chinese. The tool offers th…
Sakana AI CEO David Ha argues that orchestrating many small models will outperform frontier giants, unveiling Fugu, a model orchestration system that routes tasks across specialized models. The Tokyo-…
Sakana AI released Fugu, a model-orchestration product claiming frontier-level performance without single-vendor exposure, and 360 unveiled Tulongfeng as China's answer to Mythos, both capitalizing on…
US export bans on frontier AI models like Anthropic's Mythos and Fable 5 are forcing global developers to abandon single-API architectures in favor of multi-model orchestration and localized redundanc…
Chinese cybersecurity firm 360 unveiled Tulongfeng, an AI tool it claims can compete with Anthropic's Mythos, while Tokyo-based Sakana AI launched Fugu, a frontier model designed for agents. Both rele…
A broader ecosystem of AI companies beyond OpenAI, Nvidia, Anthropic, and Google DeepMind is building the infrastructure, governance, and application platforms that make AI commercially viable. Mistra…
Sakana AI released Fugu, a language model that acts as a coordinator routing tasks to multiple frontier LLMs from OpenAI, Anthropic, and Google, returning a single answer and bill. The system hides ve…
Sakana AI launched Fugu, a multi-agent AI system that orchestrates Claude, GPT, and Gemini through one API to outperform individual frontier models on benchmarks. The system uses a mixture-of-agents a…
Sakana AI launched Fugu and Fugu Ultra on June 22, a model orchestration system that uses a 7-billion-parameter router to select external models for tasks, achieving benchmark scores comparable to fro…
Sakana AI launched Fugu, a multi-agent model API that coordinates a pool of agents behind a single interface, positioning it as a hedge against single-provider dependency after the U.S. government dir…
The foundations of today's AI boom, including the first Transformer variant, unsupervised pre-training, neural network distillation, and deep residual learning, were all published in 1991 by Jürgen Sc…