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GLM-5.1

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3

RESEARCH · 1 SOURCE · arXiv cs.AI

HyScale paper introduces HyTopK and selection replay to speed long-context learned sparse attention training

HyScale (arXiv:2610.32057v1) presents a system for scaling long-context training of learned sparse attention by treating selection outputs as index sets and introducing HyTopK (on-the-fly exact top-k) plus selection replay to avoid full score tables and repeated selection. The paper reports up to 2.07× speedup training GLM-5.1 on 1M-token sequences versus Megatron-LM on 512 H20 GPUs, and 2.01× / 1.57× speedups for the CSA layers of DeepSeek-V4-Flash and the QSA layers of Qwen3.8-Flash-Next at 1M tokens on 32 H800 GPUs.

7.0

RESEARCH · 1 SOURCE · Hugging Face

Microsoft’s ThinkingBox benchmark evaluates agents by backend state and is now on Hugging Face

ThinkingBox, a Microsoft benchmark that grades AI agents by the terminal backend state and side effects they leave (not just generated text), runs 507 stateful business workflows 20 times each and is now available through Hugging Face and runnable via OpenEnv. The paper and benchmark report substantial inconsistency: across 121,680 trials on 12 LLMs, 79,853 failed executable checks and many seemingly successful runs still produced wrong or missing database-side effects.

8.0

MODELS · 1 SOURCE · arXiv cs.AI

ZGCM-1: Open 7B foundation model claiming extreme efficiency and 256K context for math and agentic search

The arXiv submission (arXiv:2609.13356v1) presents ZGCM-1, a fully open 7B dense foundation model trained from scratch with an emphasis on data, system, and algorithmic efficiency and long-context operation (up to 256K). The authors report that ZGCM-1-7B is competitive with larger models on general benchmarks and on challenging mathematical reasoning and agentic search suites, claim a ≈4.2× improvement in 16K pre-training time-to-loss, describe a training recipe (including interleaved gated sliding-window/full attention and an FP8 Muon optimizer), and open-source weights, checkpoints, code, data recipes, and W&B logs.

7.0