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@miromind_ai

šŸš€Ā Introducing MiroThinker-1.7 & MiroThinker-H1 Today, we release the latest generation of our research agent family:Ā MiroThinker-1.7Ā andĀ MiroThinker-H1. Our goal is simple but ambitious: move beyond LLM chatbots to buildĀ heavy-duty, verifiable agents capable of solving real, critical tasks. Rather than merely scaling interaction turns, we focus on scaling effective interactions — improving both reasoning depth and step-level accuracy. Key highlights: 🧠 Heavy-duty reasoningĀ designed for long-horizon tasks šŸ”Ā Verification-centric architectureĀ with local and global verification 🌐 State-of-the-art performance onĀ BrowseComp / BrowseComp-ZH / GAIA / Seal-0Ā research benchmarks šŸ“Š Leading results acrossĀ scientific and financial evaluation tasks Explore MiroThinker: Hugging Face: https://t.co/npZLvCCjw4 Github: https://t.co/OAVXDofSuJ

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  "text": "šŸš€Ā Introducing MiroThinker-1.7 & MiroThinker-H1\n\nToday, we release the latest generation of our research agent family:Ā MiroThinker-1.7Ā andĀ MiroThinker-H1.\n\nOur goal is simple but ambitious: move beyond LLM chatbots to buildĀ heavy-duty, verifiable agents capable of solving real, critical tasks. Rather than merely scaling interaction turns, we focus on scaling effective interactions — improving both reasoning depth and step-level accuracy.\n\nKey highlights:\n\n🧠 Heavy-duty reasoningĀ designed for long-horizon tasks\nšŸ”Ā Verification-centric architectureĀ with local and global verification\n🌐 State-of-the-art performance onĀ BrowseComp / BrowseComp-ZH / GAIA / Seal-0Ā research benchmarks\nšŸ“Š Leading results acrossĀ scientific and financial evaluation tasks\n\nExplore MiroThinker:\n\nHugging Face: https://t.co/npZLvCCjw4\nGithub: https://t.co/OAVXDofSuJ",
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