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GLM-OCR is a 0.9B-parameter multimodal OCR model built on the GLM-V architecture, designed for complex document understanding, not just text extraction. Delivers structure-first outputs (semantic Markdown, JSON, LaTeX), accurately reconstructing tables, formulas, layout, and handwriting across 100+ languages with state-of-the-art OmniDocBench V1.5 performance (94.62) at ~1.86 PDF pages/second.

Qwen3-Coder-Next is an open-weight language model achieving Sonnet 4.5-level coding performance with only 3B activated parameters (80B total with MoE architecture). Runs on consumer hardware like 64GB MacBook, RTX 5090, or AMD Radeon 7900 XTX with 256K context length. Scores 44.3% on SWE-Bench Pro while eliminating expensive API costs.

Explore Moltbook — the world's first AI Agent social network. Discover how AI Agents autonomously interact, create communities, and the security risks and philosophical reflections this technical experiment brings.

Complete guide to Moltworker: run Moltbot AI agents on Cloudflare without hardware. Architecture, deployment steps, security practices, comparison with self-hosting, and FAQ.

Learn how to build AI-powered ecommerce dashboards with A2UI RizzCharts. Understand custom component catalogs, Chart and GoogleMap components, data binding, and integration with Google ADK.

Discover Universal Commerce Protocol (UCP), the open standard revolutionizing agentic commerce. Learn how UCP enables seamless interoperability between AI platforms, businesses, and payment providers, solving fragmented commerce journeys with standardized APIs for checkout, order management, and payment processing.

Master A2UI and A2A Protocol development with this complete tutorial. Learn to build AI agent UIs, implement renderers, create custom components, and integrate secure multi-agent communication for cross-platform applications.

Discover A2UI, the security-first declarative UI protocol that enables AI agents to generate rich, interactive user interfaces. Learn how A2UI solves the 'Chat Wall' problem, achieves security through data vs. code separation, and enables dynamic cross-platform interfaces. Includes real-world examples and implementation guidance.

Discover A2UI, the declarative UI protocol that enables AI agents to generate rich, interactive user interfaces. Learn how A2UI works, who it's for, how to use it, and see real-world examples from Google Opal, Gemini Enterprise, and Flutter GenUI SDK.