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LongCat-2.5: Native Multimodality for Agentic Tasks

Quality: 8/10 Relevance: 9/10

Summary

LongCat-2.5 introduces native multimodality for agentic tasks, enabling agents to process and reason across multiple data modalities within a single framework. The post highlights architectural updates and potential use cases for multimodal agents, suggesting improvements in how these systems operate without relying on external tools. It signals ongoing advancements in multimodal AI capabilities and agent intelligence.

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