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**Anthropic** is reportedly introducing a new AI model tier called **Capybara**, which is larger and more intelligent than **Claude Opus 4.6**, showing improved performance in coding, academic reasoning, and cybersecurity. The model is speculated to be around **10 trillion parameters**, with **Google** potentially funding Anthropic's data center expansion. Meanwhile, **Zhipu** released **GLM-5.1**, advancing open coding models and narrowing the gap with closed models. Local inference economics are improving, highlighted by efficient deployments of **Qwen 3.5 14B**, **Qwen 27B**, and **Qwen3.5-35B** models with quantization techniques like **TurboQuant vLLM**. However, TurboQuant's benchmarking claims face criticism from researchers. Overall, the AI landscape shows aggressive scaling, local model deployment, and agent products gaining traction.
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