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

  1. TOOL · Mastodon — fosstodon.org 日本語(JA) · · [2 sources]

    Microsoft launches "Copilot Cowork" on Frontier, enabling features that combine "GPT" and "Claude" – ITmedia AI+ https://www.yayafa.com/2804439/ # AgenticAi # AI # ArtificialGeneralIntelligence

    Microsoft has launched "Copilot Cowork" on its Frontier platform, enabling users to combine capabilities from both OpenAI's GPT models and Anthropic's Claude. This new offering allows for more sophisticated AI-driven workflows by integrating different large language models. Additionally, the "tsuzumi 2," an agentic AI developed by NTT Data, is now accessible via Microsoft Azure, further expanding the AI tools available on the platform. AI

    Microsoft launches "Copilot Cowork" on Frontier, enabling features that combine "GPT" and "Claude" – ITmedia AI+ https://www.yayafa.com/2804439/ # AgenticAi # AI # ArtificialGeneralIntelligence

    IMPACT Enables users to leverage combined strengths of leading LLMs like GPT and Claude for advanced AI workflows.

  2. RESEARCH · Hugging Face Daily Papers English(EN) · · [86 sources]

    Rule2DRC: Benchmarking LLM Agents for DRC Script Synthesis with Execution-Guided Test Generation

    Researchers have developed several new tools and frameworks to improve the efficiency and accuracy of large language model (LLM) operations. Charon and Frontier are simulators designed to predict LLM training and inference performance with high accuracy, aiding in optimization efforts. FT-Dojo provides a benchmark environment for autonomous LLM fine-tuning, while rePIRL offers an inverse RL-inspired framework for learning process reward models. Additionally, PALS focuses on power-aware LLM serving for Mixture-of-Experts models, and LlamaWeb enables memory-efficient LLM inference in web browsers using WebGPU. AI

    IMPACT New simulators and frameworks promise more efficient, accurate, and power-aware LLM operations, potentially accelerating research and deployment.