Introducing M2.5, an open-source frontier model designed for real-world productivity. - SOTA performance at coding (SWE-Bench Verified 80.2%), search (BrowseComp 76.3%), agentic tool-calling (BFCL 76.8%) & office work. - Optimized for efficient execution, 37% faster at complex

Introducing GLM-5: From Vibe Coding to Agentic Engineering GLM-5 is built for complex systems engineering and long-horizon agentic tasks. Compared to GLM-4.5, it scales from 355B params (32B active) to 744B (40B active), with pre-training data growing from 23T to 28.5T tokens.

We have open-sourced HY-1.8B-2Bit, a high-efficiency 2-bit LLM built for on-device deployment. This model scales the 1.8B base down to an effective 0.3B parameter footprint, requiring only 600MB of storage, making it smaller than many mobile apps. 🔹 Ultra-Low-Bit Strategy: Uses

malware found in the top downloaded skill on clawhub and so it begins

Introducing GLM-OCR: SOTA performance, optimized for complex document understanding. With only 0.9B parameters, GLM-OCR delivers state-of-the-art results across major document understanding benchmarks, including formula recognition, table recognition, and information extraction.

🚀 Introducing Qwen3-Coder-Next, an open-weight LM built for coding agents & local development. What’s new: 🤖 Scaling agentic training: 800K verifiable tasks + executable envs 📈 Efficiency–Performance Tradeoff: achieves strong results on SWE-Bench Pro with 80B total params and

個人開発のイベントに登壇してきた 超良い人ばっかりで心が穏やかになった Xboost使ってくれてる人、5人くらいオフラインで初対面で話せてめっちゃ純粋なモチベーション湧いた ほんまに良かった もっと利用者が成果出るツールにガンガン成長させていくぞ！って気持ちになった