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

  1. COMMENTARY · Axios Technology English(EN) ·

    Scoop: Trump aides fear Haberman and Swan obtained Situation Room tapes for "Regime Change"

    Two New York Times reporters, Maggie Haberman and Jonathan Swan, are believed to have obtained audio recordings from the highly secure Situation Room for their upcoming book, "Regime Change." This alleged leak has caused concern among White House officials who fear sensitive conversations may have been compromised, as recording devices are strictly forbidden in the Situation Room. The book, which covers Trump's potential second term, is set to be published on June 23rd and has already seen excerpts detailing discussions on topics like the Iran war and Epstein files. AI

    Scoop: Trump aides fear Haberman and Swan obtained Situation Room tapes for "Regime Change"
  2. RESEARCH · arXiv cs.CL English(EN) · · [2 sources]

    SWAN: Semantic Watermarking with Abstract Meaning Representation

    Researchers have developed SWAN, a new framework for embedding watermarks into the semantic structure of sentences using Abstract Meaning Representation (AMR). Unlike previous methods that alter token selection, SWAN encodes signatures directly into the semantic representation, making them robust to paraphrasing. This training-free approach uses LLM prompting for injection and an AMR parser for detection, achieving state-of-the-art performance and improving detection AUC by up to 13.9 percentage points against paraphrasing. AI

    SWAN: Semantic Watermarking with Abstract Meaning Representation

    IMPACT Introduces a more robust method for text provenance verification, potentially aiding in detecting AI-generated content even after modifications.