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A Sakana research paper on learned orchestration used as a basis for Fugu's task routing.

Why it's here

Placed in Assess: 4 article(s) of evidence from 4 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 68%.

Evidence (4)

  • 6Hacker News·8/5/2026research
    Former OpenAI researcher joins Conduit to build thought-to-text telepathy

    A former OpenAI researcher says they resigned and joined Conduit as a founding researcher to work on thought-to-text systems, which the company frames as non-invasive telepathy using neural data. The post outlines a vision for how people may interact with AI through headband-based brain interfaces over the next few years and says Conduit is collecting large amounts of non-invasive neural data to support the effort.

  • 6The New Stack·6/24/2026product_launch
    Sakana AI Launches Fugu, a Multi-Agent Orchestration System

    Sakana AI released Fugu, a multi-agent orchestration system that splits tasks into subtasks and routes them across swappable expert models through a single OpenAI-compatible API. The company says it can match frontier-model performance on several benchmarks, but early reactions question its pricing, burn rate, and whether it really advances AI sovereignty beyond an advanced routing layer.

  • 6Hugging Face Blog·5/14/2026research
    Hugging Face explains asynchronous continuous batching for LLM inference

    Hugging Face published a technical post showing how to separate CPU batch preparation from GPU compute in continuous batching for LLM inference. The article argues that asynchronous batching can reduce idle time between CPU and GPU work and improve throughput without requiring new kernels or model changes.

  • 5OpenAI Blog·1/8/2026research
    Netomi’s enterprise agent scaling lessons

    OpenAI highlights how Netomi scales enterprise AI agents by combining concurrency, governance, and multi-step reasoning to support reliable production workflows. The example centers on using GPT-4.1 and GPT-5.2 to run agentic systems at enterprise scale.