Sakana AI released Fugu Ultra, a multi-agent orchestration system that dynamically coordinates multiple language models to perform complex tasks through a single API. Fugu Ultra matches the performance of leading models like Anthropic's Fable 5 and Mythos Preview on engineering, scientific, and reasoning benchmarks while avoiding export control restrictions. The system allows organizations to reduce vendor dependency and maintain access to frontier-level AI capabilities even if individual model providers restrict access.
This week's deep learning newsletter covers Thinking Machines Lab's release of Inkling, a 975B-parameter open-weights multimodal MoE model, OpenAI's GPT-Red system which cut prompt injection failures by 6x through adversarial training, and research showing video generation models can serve as general-purpose vision learners, achieving state-of-the-art performance on diverse vision tasks while requiring 7 to 500 times less training data than specialized models. The issue also features MLOps optimizations, agentic system architectures, and a comprehensive survey on metacognition in large language models.
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