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

  1. WCXB: A Multi-Type Web Content Extraction Benchmark

    Researchers have introduced the Web Content Extraction Benchmark (WCXB), a new dataset designed to improve the evaluation of systems that isolate main content from web pages. The WCXB dataset comprises 2,008 web pages from 1,613 domains, covering seven distinct page types beyond just news articles. Evaluations on this benchmark revealed significant performance disparities among extraction systems, particularly on structured page types, highlighting limitations of existing article-centric benchmarks. AI

    WCXB: A Multi-Type Web Content Extraction Benchmark

    IMPACT Provides a more comprehensive evaluation for web content extraction systems, crucial for LLM training and RAG.

  2. Flood of duplicate vulnerability reports have made Linux security mailing list 'almost entirely unmanageable' — Linus Torvalds says private list 'a waste of time for everybody involved' in switch to new public system

    Linus Torvalds has declared the Linux kernel's private security mailing list unmanageable due to a surge in duplicate vulnerability reports generated by AI tools. He stated that AI-discovered bugs are inherently public and should be reported directly to maintainers, not through a private list that wastes everyone's time. The project has updated its documentation to reflect this, requiring AI-assisted bug reports to be handled as public disclosures and encouraging researchers to contribute patches alongside their findings. AI

    Flood of duplicate vulnerability reports have made Linux security mailing list 'almost entirely unmanageable' — Linus Torvalds says private list 'a waste of time for everybody involved' in switch to new public system

    IMPACT AI-generated bug reports are overwhelming security teams, necessitating new policies for public disclosure and human oversight.