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PerSo: Investigating Facets of LLMs' Social Intelligence in Real-World Persuasion Scenarios

Understanding the social intelligence of large language models (LLMs) is increasingly important for applications involving human-AI interaction and multi-agent environments. Social intelligence comprises two aspects: cognitive intelligence, the ability to infer others' mental states, and behavioral intelligence, the ability to select appropriate social actions based on these inferences to achieve…

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

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Liquid AI Releases LFM2.5-24B-A2B for Local AI Workflows

Liquid AI releases an open-weight model for local AI agents. Explore its reported performance, hardware requirements, privacy risks and licensing limits.

  • Liquid AI releases 24B parameter model LFM2.5-24B-A2B for local AI workflows
  • Expanded context window to 131,072 tokens and 128K token vocabulary for better multilingual support
  • Improved performance in agent workflows, coding, mathematics, and instruction following benchmarks

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