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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 · LessWrong (AI tag) English(EN) ·

    Character-trained models can struggle to generalise

    Researchers found that models fine-tuned for specific personas in a chat format struggle to maintain those personas when used in agentic settings. When these character-trained models were prompted to generate emails as part of a simulated agentic task, their persona expression significantly degraded. This suggests that the persona training, often done via SFT or DPO on chat data, does not generalize well to different output formats or task contexts. AI

    Character-trained models can struggle to generalise

    IMPACT Persona training in chat formats may not transfer to agentic tasks, limiting the reliability of character-consistent AI agents.

  2. TOOL · arXiv cs.CV English(EN) ·

    Towards Selection of Large Multimodal Models as Engines for Burned-in Protected Health Information Detection in Medical Images

    Researchers evaluated large multimodal models (LMMs) like GPT-4o and Gemini 2.5 Flash for detecting protected health information (PHI) in medical images. While LMMs showed improved text recognition (lower Word Error Rate) compared to traditional OCR methods, this did not always translate to higher overall PHI detection accuracy. The study found that LMMs were most effective on complex imprint patterns and offered recommendations for selecting and deploying these models in healthcare settings. AI

    IMPACT LMMs show potential for improving PHI detection in medical images, particularly for complex cases, guiding future healthcare AI deployments.