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GLM-5V-Turbo: Native Foundation Model for Multimodal Agents — 157 Points on HN
An arXiv paper introducing GLM-5V-Turbo, a multimodal foundation model specifically designed for agentic workflows rather than retrofitted from a chat model, hit 157 points and 31 comments on HN. The model is built natively for agent tasks — perceiving screen state, generating tool calls, and executing multi-step plans across visual interfaces. This represents the emerging trend of models purpose-built for agency rather than conversation, potentially outperforming larger general-purpose models on agentic benchmarks.
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