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Saturday21 items

  12. rohan_paulResearch
    AI score52

    English translation is being prepared.

    Quoted postRohan Paul · @rohanpaul_ai

    Pangram, the AI-text detector, missed 79.8% of scientific abstracts rewritten by Meta's Muse-Glimmer, while flagging just 1 of 5,000 human abstracts. In a new paper from Tokyo Metropolitan University, reseaerchers find the share of AI-rewritten abstracts that Pangram misses depends strongly on the LLM version Shows that it caught 93.5% of GPT-5 rewrites but missed 79.8% from another new model. Its miss rate depended mostly on which model did the rewriting.

    #Papers/Research#Evaluations / benchmarks#English text is being prepared.

  16. rohan_paulResearch
    AI score80

    English translation is being prepared.

    Quoted postAnthropic · @AnthropicAI

    We’re beginning a process of publishing more frequent reports on model behavior, beyond what appears in our system cards and regular risk reports. Today’s report describes four types of behaviors we’ve identified during evaluations and internal use. In each, Claude acted on real websites or systems in ways we didn’t intend, sometimes by working around a restriction instead of stopping. All cases had minimal real-world impact. From an alignment and security perspective, we consider these behaviors significantly less severe than the cybersecurity incidents we reported in July and September. Read the full report: https://t.co/mGeVIBgdou

    Same story · 7 reports

    #Safety / alignment#Agents#Anthropic