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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. RESEARCH · arXiv cs.AI English(EN) · · [2 sources]

    READER: Reasoning-Enhanced AI-Generated Text Detection

    Researchers have developed READER, a novel system for detecting AI-generated text that outperforms larger models by incorporating a reasoning-based approach. This system, fine-tuned on a curated dataset of rationales and verdicts, provides explanations for its classifications. Concurrently, a comprehensive dataset has been released containing over 73,000 text samples, including authentic New York Times articles and synthetic versions generated by various state-of-the-art LLMs, to aid in developing more robust detection and attribution methods. AI

    IMPACT Advances in AI text detection are crucial for maintaining trust and combating misinformation in the digital age.

  2. TOOL · arXiv cs.AI English(EN) ·

    Strategic Coercion Within Alliances: The Greenland Sovereignty Game as an AI Stress Test

    Researchers have developed a novel AI stress test using the Greenland sovereignty dispute to evaluate geopolitical decision-making in large language models. The study simulated thousands of games where eight frontier LLMs played various international roles, revealing that all models escalated conflict more frequently when framed as coercion. Notably, Chinese-origin models exhibited distinct power dynamics compared to Western models when acting as the United States, and peaceful acquisition of Greenland was rare across simulations. AI

    IMPACT Establishes a new benchmark for evaluating LLM geopolitical reasoning and potential for escalation in international relations.

  3. RESEARCH · Together AI blog English(EN) ·

    DeepSeek-V4 Pro now available on Together AI

    DeepSeek-V4 Pro, a large Mixture-of-Experts model with 1.6 trillion parameters, is now accessible on the Together AI platform. This model is designed for long-context reasoning, supporting up to a 512K-token context window in its initial Together AI deployment, with plans for a 1M-token context window. It features controllable reasoning modes to optimize for speed or depth and offers specialized pricing for cached input tokens to reduce costs on repeated queries. AI

    IMPACT Enables new applications requiring reasoning over extensive datasets, potentially lowering costs for repeated long-context queries.