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Topic: "1m-token-inference"
not much happened today
glm-5.2 opus-4.8 gpt-5.5 laguna-m.1 north-mini-code codex zhipu hugging-face llama-cpp unsloth poolsideai cohere ollama openai cursor_ai claude cognition sparse-attention 1m-token-inference open-weight-models model-architecture long-context mixture-of-experts quantization local-deployment workflow-automation code-agents software-configuration-management automation-primitives security model-harness agentic-coding rasbt jeremyphoward matvelloso artificialanlys zixuanli_ _xjdr gneubig _catwu
GLM-5.2 from Zhipu emerged as a leading open-weight model with innovative IndexShare sparse-attention enabling efficient 1M-token inference, praised as comparable to GPT-5.5 and Opus 4.8 but lacking vision support. Other notable open models include Laguna M.1 by Poolside AI, a 70-layer sparse MoE optimized for long-horizon coding, and North Mini Code by Cohere with 4-bit quantization and local deployment support via Ollama. The focus is shifting from standalone models to integrated systems combining model + harness + memory + SCM, exemplified by Noumena Code / ncode addressing challenges in concurrent code agent workflows. Automation tools like Codex Record & Replay, Cursor's /automate, and Artifacts in Claude Code enhance teachability, reusability, and security in AI-assisted coding workflows.