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#large-scale

Ring-2.6-1T is putting up SOTA-level numbers for real-world agents

Reddit r/ArtificialInteligence · 2026-05-18

Ant Group released Ring-2.6-1T, a 1 trillion parameter reasoning model for agent workflows, featuring MIT license, extended context, and Async RL + IcePop training, achieving state-of-the-art results.

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#large-scale

@kevin_x_li: Introducing SWE-ZERO-12M-trajectories: the largest agentic trace dataset in the open, 5.7x larger than the previous lar…

X AI KOLs Following · 2026-05-13 Cached

SWE-ZERO-12M-trajectories is the largest open agentic trace dataset for coding, with 112B tokens across 12M trajectories from 122K pull requests and 3K repositories, enabling scalable training of agentic coding models without requiring containerized execution.

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#large-scale

Urban-ImageNet: A Large-Scale Multi-Modal Dataset and Evaluation Framework for Urban Space Perception

Hugging Face Daily Papers · 2026-05-11 Cached

Urban-ImageNet is a large-scale multi-modal dataset and evaluation benchmark for urban space perception from social media imagery, supporting scene classification, cross-modal retrieval, and instance segmentation tasks across 61 urban sites in 24 Chinese cities.

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